diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 00000000..3c93ba89 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,3 @@ +*~ +vendor/ +.glide/ diff --git a/.gitignore b/.gitignore index c6debcd1..3c93ba89 100644 --- a/.gitignore +++ b/.gitignore @@ -1,8 +1,3 @@ -.Python -*.crt -.cache -vendor *~ -*.pyc -*.idea -.vscode +vendor/ +.glide/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 60a7845a..dfd78ddc 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,20 +1,7 @@ -- repo: https://github.com/dnephin/pre-commit-golang - sha: e4693a4c282b4fc878eda172a929f7a6508e7d16 - hooks: - - id: go-fmt - files: \.go$ - - id: go-lint - files: \.go$ - exclude: (.*\/client\/.*\.go|.*\generated\.deepcopy\.go)$ -- repo: https://github.com/PaddlePaddle/mirrors-yapf.git - sha: 0d79c0c469bab64f7229c9aca2b1186ef47f0e37 - hooks: - - id: yapf - files: (.*\.(py|bzl)|BUILD|.*\.BUILD|WORKSPACE)$ -- repo: local - hooks: - - id: copyright_checker - name: copyright_checker - entry: python ./.copyright.hook - language: system - files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|proto|py)$ +- repo: git://github.com/dnephin/pre-commit-golang + sha: HEAD + hooks: + - id: go-fmt + - id: go-vet + - id: go-lint + diff --git a/.travis.yml b/.travis.yml index 33ac3969..259beed6 100644 --- a/.travis.yml +++ b/.travis.yml @@ -4,7 +4,6 @@ matrix: go: 1.8.x sudo: required install: - - sudo apt-get install -y mercurial - go get -u github.com/golang/lint/golint - curl https://glide.sh/get | bash - sudo pip install pre-commit @@ -12,17 +11,6 @@ matrix: - rm -f .copyright.hook && wget https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/.copyright.hook - bash -x .tools/check_style.sh - ln -s $GOPATH/src/github.com/PaddlePaddle $GOPATH/src/github.com/paddlepaddle - - mkdir ~/.glide && glide mirror set https://gonum.org/v1/plot https://github.com/gonum/plot - - glide install --strip-vendor && go test $(glide novendor) - - language: python - python: 2.7 - sudo: required - env: - - DJANGO_SETTINGS_MODULE="paddlecloud.travis_settings" - before_script: - - mysql -e 'create database paddlecloud;' - - mkdir $HOME/.kube && cp ./k8s/config $HOME/.kube/ - - pip install -r python/paddlecloud/requirements.txt - - cd python/paddlecloud && python manage.py makemigrations && python manage.py migrate - script: - - python manage.py test + - cd $GOPATH/src/github.com/paddlepaddle/edl + - glide install --strip-vendor + - go test $(glide novendor) diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 00000000..87926d2f --- /dev/null +++ b/Dockerfile @@ -0,0 +1,9 @@ +FROM golang:1.8 +RUN go get github.com/Masterminds/glide +RUN apt-get update && apt-get install -y git +WORKDIR $GOPATH/src/github.com/paddlepaddle +RUN git clone https://github.com/paddlepaddle/edl.git +WORKDIR $GOPATH/src/github.com/paddlepaddle/edl +RUN glide install --strip-vendor +RUN go build -o /usr/local/bin/edl github.com/paddlepaddle/edl/cmd/edl +CMD ["edl"] diff --git a/LICENSE b/LICENSE index e77bd090..6c499964 100644 --- a/LICENSE +++ b/LICENSE @@ -1,4 +1,3 @@ -Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved Apache License Version 2.0, January 2004 diff --git a/README.md b/README.md index a0f8960e..c16512d0 100644 --- a/README.md +++ b/README.md @@ -1,61 +1,34 @@ -# PaddlePaddle Cloud +# PaddlePaddle EDL: Elastic Deep Learning -[![Build Status](https://travis-ci.org/PaddlePaddle/cloud.svg?branch=develop)](https://travis-ci.org/PaddlePaddle/cloud) +While many hardware and software manufacturers are working on +improving the running time of deep learning jobs, EDL optimizes -PaddlePaddle Cloud is a combination of PaddlePaddle and Kubernetes. It -supports fault-recoverable and fault-tolerant large-scaled distributed -deep learning. We can deploy it on public cloud and on-premise -clusters. +1. the global utilization of the cluster, and +1. the waiting time of job submitters. -PaddlePaddle Cloud includes the following components: +For more about the project EDL, please refer to this [invited blog +post](http://blog.kubernetes.io/2017/12/paddle-paddle-fluid-elastic-learning.html) +on the Kubernetes official blog. -- paddlectl: A command-line tool that talks to paddlecloud and - paddle-fs. -- paddlecloud: An HTTP server that exposes Kubernetes as a Web - service. -- paddle-fs: An HTTP server that exposes the CephFS distributed - filesystem as a Web service. -- EDL (elastic deep learning): A Kubernetes controller that supports - elastic scheduling of deep learning jobs and other jobs. -- Fault-tolerant distributed deep learning: This part is in - the [Paddle](https://github.com/PaddlePaddle/paddle) repo. +EDL includes two parts: -## Tutorials +1. a Kubernetes controller for the elastic scheduling of distributed + deep learning jobs, and -- [快速开始](./doc/tutorial_cn.md) -- [中文手册](./doc/usage_cn.md) +1. making PaddlePaddle a fault-tolerable deep learning framework. + This directory contains the Kubernetes controller. For more + information about fault-tolerance, please refer to the + [design](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/design/cluster_train). +We deployed EDL on a real Kubernetes cluster, dlnel.com, opened for +graduate students of Tsinghua University. The performance test report +of EDL on this cluster is +[here](https://github.com/PaddlePaddle/cloud/blob/develop/doc/edl/experiment/README.md). -## How To -- [Build PaddlePaddle Cloud](./doc/howto/build.md) -- [Deploy PaddlePaddle Cloud](./doc/howto/deploy.md) -- [Elastic Deep Learning using EDL](./doc/edl/example/autoscale.md) -- [PaddlePaddle Cloud on Minikube](./doc/howto/run_on_minikube.md) +## Build -## Directory structure - -``` -. -├── demo: distributed version of https://github.com/PaddlePaddle/book programs -├── doc: documents -├── docker: scripts to build Docker image to run PaddlePaddle distributed -├── go -│   ├── cmd -│   │   ├── edl: entry of EDL controller binary -│   │   ├── paddlecloud: the command line client of PaddlePaddle Cloud (will be deprecated) -│   │   ├── paddlectl: the command line client of PaddlePaddle Cloud -│   │   └── pfsserver: entry of PaddleFS binary -│   ├── edl: EDL implementation -│   ├── filemanager: PaddleFS implementation -│   ├── paddlecloud: command line client implement (will be deprecated) -│   ├── paddlectl: command line client implement -│   ├── scripts: scripts for Go code generation -├── k8s: YAML files to create different components of PaddlePaddle Cloud -│   ├── edl: TPR definition and EDL controller for TraningJob resource -│   │   ├── autoscale_job: A sample TrainingJob that can scale -│   │   └── autoscale_load: A sample cluster job demonstrating a common workload -│   ├── minikube: YAML files to deploy on local mini-kube environment -│   └── raw_job: A demo job demonstrates how to run PaddlePaddle jobs in cluster -└── python: PaddlePaddle Cloud REST API server +```bash +glide install --strip-vendor +go build -o path/to/output github.com/paddlepaddle/edl/cmd/edl ``` diff --git a/go/cmd/edl/edl.go b/cmd/edl/edl.go similarity index 93% rename from go/cmd/edl/edl.go rename to cmd/edl/edl.go index db2eed34..197b7016 100644 --- a/go/cmd/edl/edl.go +++ b/cmd/edl/edl.go @@ -9,8 +9,8 @@ import ( "k8s.io/client-go/rest" "k8s.io/client-go/tools/clientcmd" - "github.com/PaddlePaddle/cloud/go/edl" - edlresource "github.com/PaddlePaddle/cloud/go/edl/resource" + "github.com/paddlepaddle/edl/pkg" + edlresource "github.com/paddlepaddle/edl/pkg/resource" ) func main() { diff --git a/demo/fit_a_line/train.py b/demo/fit_a_line/train.py deleted file mode 100644 index eed55abc..00000000 --- a/demo/fit_a_line/train.py +++ /dev/null @@ -1,147 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import paddle.v2 as paddle -import paddle.v2.dataset as dataset -import os -import gzip -import sys - -# NOTE: You should full fill your username, for example: -# USERNAME = "paddle@example.com" -# TODO(Yancey1989): fetch username from environment variable. -USERNAME = "YOUR USERNAME" - -DC = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") - -#PaddleCloud cached the dataset on /pfs/${DATACENTER}/home/${USERNAME}/... -dataset.common.DATA_HOME = "/pfs/%s/home/%s" % (DC, USERNAME) -TRAIN_FILES_PATH = os.path.join(dataset.common.DATA_HOME, "uci_housing") - - -def prepare_dataset(): - dataset.common.convert(TRAIN_FILES_PATH, - dataset.uci_housing.train(), 100, "train") - - -TRAINER_ID = int(os.getenv("PADDLE_INIT_TRAINER_ID")) -TRAINER_INSTANCES = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS")) - - -def cluster_reader_recordio(paths, trainer_id, trainer_instances): - """ - Creates a cluster data reader from given RecordIO file paths, - each trainer will read a subset of the whole files set. - - :paths: path of recordio files. - :trainer_id: current trainer ID. - :trainer_instances: total trainer instances count. - :returns data reader of RecordIO files. - """ - - import recordio as rec - import pickle - import glob - - def reader(): - file_list = glob.glob(paths) - file_list.sort() - my_file_list = [] - # collect a subset files according with the trainer_id - for idx, f in enumerate(file_list): - if idx % trainer_instances == trainer_id: - my_file_list.append(f) - for f in my_file_list: - print "processing", f - reader = rec.reader(f) - record_raw = reader.read() - while record_raw: - yield pickle.loads(record_raw) - record_raw = reader.read() - reader.close() - - return reader - - -def main(): - # init - paddle.init() - - # network config - x = paddle.layer.data(name='x', type=paddle.data_type.dense_vector(13)) - y_predict = paddle.layer.fc(input=x, - size=1, - act=paddle.activation.Linear()) - y = paddle.layer.data(name='y', type=paddle.data_type.dense_vector(1)) - cost = paddle.layer.square_error_cost(input=y_predict, label=y) - - # create parameters - parameters = paddle.parameters.create(cost) - - # create optimizer - optimizer = paddle.optimizer.Momentum(momentum=0) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer, - is_local=False) - - feeding = {'x': 0, 'y': 1} - - # event_handler to print training and testing info - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f" % ( - event.pass_id, event.batch_id, event.cost) - - if isinstance(event, paddle.event.EndPass): - result = trainer.test( - reader=paddle.batch( - dataset.uci_housing.test(), batch_size=2), - feeding=feeding) - print "Test %d, Cost %f" % (event.pass_id, result.cost) - if TRAINER_ID == 0: - with gzip.open("fit-a-line_pass_%05d.tar.gz" % event.pass_id, - "w") as f: - parameters.to_tar(f) - - # training - trainer.train( - reader=paddle.batch( - paddle.reader.shuffle( - cluster_reader_recordio( - os.path.join(TRAIN_FILES_PATH, "train-*"), TRAINER_ID, - TRAINER_INSTANCES), - buf_size=500), - batch_size=2), - feeding=feeding, - event_handler=event_handler, - num_passes=30) - - -if __name__ == '__main__': - usage = "python train.py [prepare|train]" - if len(sys.argv) != 2: - print usage - exit(1) - - if TRAINER_ID == -1 or TRAINER_INSTANCES == -1: - print "no cloud environ found, must run on cloud" - exit(1) - - if sys.argv[1] == "prepare": - prepare_dataset() - elif sys.argv[1] == "train": - main() diff --git a/demo/fit_a_line/train_ft.py b/demo/fit_a_line/train_ft.py deleted file mode 100644 index ed5e53ae..00000000 --- a/demo/fit_a_line/train_ft.py +++ /dev/null @@ -1,88 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import paddle.v2 as paddle -import os -import gzip -from paddle.v2.reader.creator import cloud_reader -import paddle.v2.dataset.uci_housing as uci_housing - -etcd_ip = os.getenv("ETCD_IP") -etcd_endpoint = "http://" + etcd_ip + ":" + "2379" -trainer_id = int(os.getenv("PADDLE_INIT_TRAINER_ID")) - - -def main(): - # init - paddle.init() - - # network config - x = paddle.layer.data(name='x', type=paddle.data_type.dense_vector(13)) - y_predict = paddle.layer.fc( - input=x, - size=1, - act=paddle.activation.Linear(), - param_attr=paddle.attr.Param(learning_rate=1e-3)) - y = paddle.layer.data(name='y', type=paddle.data_type.dense_vector(1)) - cost = paddle.layer.square_error_cost(input=y_predict, label=y) - - # create parameters - parameters = paddle.parameters.create(cost) - - # create optimizer - optimizer = paddle.optimizer.Momentum(momentum=0) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer, - is_local=False, - pserver_spec=etcd_endpoint, - use_etcd=True) - - feeding = {'x': 0, 'y': 1} - - # event_handler to print training and testing info - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f" % ( - event.pass_id, event.batch_id, event.cost) - - if isinstance(event, paddle.event.EndPass): - result = trainer.test( - reader=paddle.batch( - uci_housing.test(), batch_size=2), - feeding=feeding) - print "Test %d, Cost %f" % (event.pass_id, result.cost) - if trainer_id == "0": - with gzip.open("fit-a-line_pass_%05d.tar.gz" % event.pass_id, - "w") as f: - parameters.to_tar(f) - - # training - trainer.train( - reader=paddle.batch( - paddle.reader.shuffle( - cloud_reader([ - "/pfs/dlnel/public/dataset/uci_housing/uci_housing_train-*" - ], etcd_endpoint), - buf_size=500), - batch_size=2), - feeding=feeding, - event_handler=event_handler, - num_passes=30) - - -if __name__ == '__main__': - main() diff --git a/demo/image_classification/image/dog.png b/demo/image_classification/image/dog.png deleted file mode 100644 index ca8f858a..00000000 Binary files a/demo/image_classification/image/dog.png and /dev/null differ diff --git a/demo/image_classification/resnet.py b/demo/image_classification/resnet.py deleted file mode 100644 index c60d19fc..00000000 --- a/demo/image_classification/resnet.py +++ /dev/null @@ -1,73 +0,0 @@ -# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import paddle.v2 as paddle - -__all__ = ['resnet_cifar10'] - - -def conv_bn_layer(input, - ch_out, - filter_size, - stride, - padding, - active_type=paddle.activation.Relu(), - ch_in=None): - tmp = paddle.layer.img_conv( - input=input, - filter_size=filter_size, - num_channels=ch_in, - num_filters=ch_out, - stride=stride, - padding=padding, - act=paddle.activation.Linear(), - bias_attr=False) - return paddle.layer.batch_norm(input=tmp, act=active_type) - - -def shortcut(ipt, ch_in, ch_out, stride): - if ch_in != ch_out: - return conv_bn_layer(ipt, ch_out, 1, stride, 0, - paddle.activation.Linear()) - else: - return ipt - - -def basicblock(ipt, ch_in, ch_out, stride): - tmp = conv_bn_layer(ipt, ch_out, 3, stride, 1) - tmp = conv_bn_layer(tmp, ch_out, 3, 1, 1, paddle.activation.Linear()) - short = shortcut(ipt, ch_in, ch_out, stride) - return paddle.layer.addto(input=[tmp, short], act=paddle.activation.Relu()) - - -def layer_warp(block_func, ipt, ch_in, ch_out, count, stride): - tmp = block_func(ipt, ch_in, ch_out, stride) - for i in range(1, count): - tmp = block_func(tmp, ch_out, ch_out, 1) - return tmp - - -def resnet_cifar10(ipt, depth=32): - # depth should be one of 20, 32, 44, 56, 110, 1202 - assert (depth - 2) % 6 == 0 - n = (depth - 2) / 6 - nStages = {16, 64, 128} - conv1 = conv_bn_layer( - ipt, ch_in=3, ch_out=16, filter_size=3, stride=1, padding=1) - res1 = layer_warp(basicblock, conv1, 16, 16, n, 1) - res2 = layer_warp(basicblock, res1, 16, 32, n, 2) - res3 = layer_warp(basicblock, res2, 32, 64, n, 2) - pool = paddle.layer.img_pool( - input=res3, pool_size=8, stride=1, pool_type=paddle.pooling.Avg()) - return pool diff --git a/demo/image_classification/train.py b/demo/image_classification/train.py deleted file mode 100644 index a26874b3..00000000 --- a/demo/image_classification/train.py +++ /dev/null @@ -1,138 +0,0 @@ -# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License - -import sys, os - -import paddle.v2 as paddle - -from vgg import vgg_bn_drop -from resnet import resnet_cifar10 - -with_gpu = os.getenv('WITH_GPU', '0') != '0' - - -def main(): - datadim = 3 * 32 * 32 - classdim = 10 - - # PaddlePaddle init - paddle.init(use_gpu=with_gpu, trainer_count=1) - - image = paddle.layer.data( - name="image", type=paddle.data_type.dense_vector(datadim)) - - # Add neural network config - # option 1. resnet - # net = resnet_cifar10(image, depth=32) - # option 2. vgg - net = vgg_bn_drop(image) - - out = paddle.layer.fc(input=net, - size=classdim, - act=paddle.activation.Softmax()) - - lbl = paddle.layer.data( - name="label", type=paddle.data_type.integer_value(classdim)) - cost = paddle.layer.classification_cost(input=out, label=lbl) - - # Create parameters - parameters = paddle.parameters.create(cost) - - # Create optimizer - momentum_optimizer = paddle.optimizer.Momentum( - momentum=0.9, - regularization=paddle.optimizer.L2Regularization(rate=0.0002 * 128), - learning_rate=0.1 / 128.0, - learning_rate_decay_a=0.1, - learning_rate_decay_b=50000 * 100, - learning_rate_schedule='discexp') - - # End batch and end pass event handler - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "\nPass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - else: - sys.stdout.write('.') - sys.stdout.flush() - if isinstance(event, paddle.event.EndPass): - # save parameters - with open('params_pass_%d.tar' % event.pass_id, 'w') as f: - parameters.to_tar(f) - - result = trainer.test( - reader=paddle.batch( - paddle.dataset.cifar.test10(), batch_size=128), - feeding={'image': 0, - 'label': 1}) - print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics) - - # Create trainer - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=momentum_optimizer) - - # Save the inference topology to protobuf. - inference_topology = paddle.topology.Topology(layers=out) - with open("inference_topology.pkl", 'wb') as f: - inference_topology.serialize_for_inference(f) - - trainer.train( - reader=paddle.batch( - paddle.reader.shuffle( - paddle.dataset.cifar.train10(), buf_size=50000), - batch_size=128), - num_passes=200, - event_handler=event_handler, - feeding={'image': 0, - 'label': 1}) - - # inference - from PIL import Image - import numpy as np - import os - - def load_image(file): - im = Image.open(file) - im = im.resize((32, 32), Image.ANTIALIAS) - im = np.array(im).astype(np.float32) - # The storage order of the loaded image is W(widht), - # H(height), C(channel). PaddlePaddle requires - # the CHW order, so transpose them. - im = im.transpose((2, 0, 1)) # CHW - # In the training phase, the channel order of CIFAR - # image is B(Blue), G(green), R(Red). But PIL open - # image in RGB mode. It must swap the channel order. - im = im[(2, 1, 0), :, :] # BGR - im = im.flatten() - im = im / 255.0 - return im - - test_data = [] - cur_dir = os.path.dirname(os.path.realpath(__file__)) - test_data.append((load_image(cur_dir + '/image/dog.png'), )) - - # users can remove the comments and change the model name - # with open('params_pass_50.tar', 'r') as f: - # parameters = paddle.parameters.Parameters.from_tar(f) - - probs = paddle.infer( - output_layer=out, parameters=parameters, input=test_data) - lab = np.argsort(-probs) # probs and lab are the results of one batch data - print "Label of image/dog.png is: %d" % lab[0][0] - - -if __name__ == '__main__': - main() diff --git a/demo/image_classification/train_ft.py b/demo/image_classification/train_ft.py deleted file mode 100644 index a69beddd..00000000 --- a/demo/image_classification/train_ft.py +++ /dev/null @@ -1,150 +0,0 @@ -# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License - -import sys, os - -import paddle.v2 as paddle - -from vgg import vgg_bn_drop -from resnet import resnet_cifar10 -from paddle.v2.reader.creator import cloud_reader - -with_gpu = os.getenv('WITH_GPU', '0') != '0' -etcd_ip = os.getenv("ETCD_IP") -etcd_endpoint = "http://" + etcd_ip + ":" + "2379" -testing_image_path = "/workspace/data/cifar/image/dog.png" -cifar_train10_path = "/workspace/data/cifar/cifar_train10-*" - - -def main(): - datadim = 3 * 32 * 32 - classdim = 10 - - # PaddlePaddle init - paddle.init(use_gpu=with_gpu, trainer_count=1) - - image = paddle.layer.data( - name="image", type=paddle.data_type.dense_vector(datadim)) - - # Add neural network config - # option 1. resnet - # net = resnet_cifar10(image, depth=32) - # option 2. vgg - net = vgg_bn_drop(image) - - out = paddle.layer.fc(input=net, - size=classdim, - act=paddle.activation.Softmax()) - - lbl = paddle.layer.data( - name="label", type=paddle.data_type.integer_value(classdim)) - cost = paddle.layer.classification_cost(input=out, label=lbl) - - # Create parameters - parameters = paddle.parameters.create(cost) - - # Create optimizer - momentum_optimizer = paddle.optimizer.Momentum( - momentum=0.9, - regularization=paddle.optimizer.L2Regularization(rate=0.0002 * 128), - learning_rate=0.1 / 128.0, - learning_rate_decay_a=0.1, - learning_rate_decay_b=50000 * 100, - learning_rate_schedule='discexp') - - feeding = {'image': 0, 'label': 1} - - train_reader = paddle.batch( - paddle.reader.shuffle( - cloud_reader([cifar_train10_path], etcd_endpoint), buf_size=50000), - batch_size=128) - - # End batch and end pass event handler - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "\nPass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - else: - sys.stdout.write('.') - sys.stdout.flush() - - if isinstance(event, paddle.event.EndPass): - # save parameters - with open('params_pass_%d.tar' % event.pass_id, 'w') as f: - parameters.to_tar(f) - result = trainer.test( - reader=paddle.batch( - paddle.dataset.cifar.test10(), batch_size=128), - feeding=feeding) - print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics) - - # Create trainer - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=momentum_optimizer, - is_local=False, - pserver_spec=etcd_endpoint, - use_etcd=True) - - # Save the inference topology to protobuf. - inference_topology = paddle.topology.Topology(layers=out) - with open("inference_topology.pkl", 'wb') as f: - inference_topology.serialize_for_inference(f) - - trainer.train( - reader=train_reader, - num_passes=1, - event_handler=event_handler, - feeding=feeding) - - # inference - from PIL import Image - import numpy as np - import os - - def load_image(file): - im = Image.open(file) - im = im.resize((32, 32), Image.ANTIALIAS) - im = np.array(im).astype(np.float32) - # The storage order of the loaded image is W(widht), - # H(height), C(channel). PaddlePaddle requires - # the CHW order, so transpose them. - im = im.transpose((2, 0, 1)) # CHW - # In the training phase, the channel order of CIFAR - # image is B(Blue), G(green), R(Red). But PIL open - # image in RGB mode. It must swap the channel order. - im = im[(2, 1, 0), :, :] # BGR - im = im.flatten() - im = im / 255.0 - return im - - test_data = [] - test_data.append((load_image(testing_image_path), )) - - # users can remove the comments and change the model name - # with open('params_pass_50.tar', 'r') as f: - # parameters = paddle.parameters.Parameters.from_tar(f) - - probs = paddle.infer( - output_layer=out, - parameters=parameters, - input=test_data, - feeding=feeding) - lab = np.argsort(-probs) # probs and lab are the results of one batch data - print "Label of image/dog.png is: %d" % lab[0][0] - - -if __name__ == '__main__': - main() diff --git a/demo/image_classification/vgg.py b/demo/image_classification/vgg.py deleted file mode 100644 index 1e0e6b93..00000000 --- a/demo/image_classification/vgg.py +++ /dev/null @@ -1,47 +0,0 @@ -# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import paddle.v2 as paddle - -__all__ = ['vgg_bn_drop'] - - -def vgg_bn_drop(input): - def conv_block(ipt, num_filter, groups, dropouts, num_channels=None): - return paddle.networks.img_conv_group( - input=ipt, - num_channels=num_channels, - pool_size=2, - pool_stride=2, - conv_num_filter=[num_filter] * groups, - conv_filter_size=3, - conv_act=paddle.activation.Relu(), - conv_with_batchnorm=True, - conv_batchnorm_drop_rate=dropouts, - pool_type=paddle.pooling.Max()) - - conv1 = conv_block(input, 64, 2, [0.3, 0], 3) - conv2 = conv_block(conv1, 128, 2, [0.4, 0]) - conv3 = conv_block(conv2, 256, 3, [0.4, 0.4, 0]) - conv4 = conv_block(conv3, 512, 3, [0.4, 0.4, 0]) - conv5 = conv_block(conv4, 512, 3, [0.4, 0.4, 0]) - - drop = paddle.layer.dropout(input=conv5, dropout_rate=0.5) - fc1 = paddle.layer.fc(input=drop, size=512, act=paddle.activation.Linear()) - bn = paddle.layer.batch_norm( - input=fc1, - act=paddle.activation.Relu(), - layer_attr=paddle.attr.Extra(drop_rate=0.5)) - fc2 = paddle.layer.fc(input=bn, size=512, act=paddle.activation.Linear()) - return fc2 diff --git a/demo/label_semantic_roles/train.py b/demo/label_semantic_roles/train.py deleted file mode 100644 index ffaf8c25..00000000 --- a/demo/label_semantic_roles/train.py +++ /dev/null @@ -1,272 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -import math -import numpy as np -import paddle.v2 as paddle -import paddle.v2.dataset.conll05 as conll05 -import paddle.v2.evaluator as evaluator - -word_dict, verb_dict, label_dict = conll05.get_dict() -word_dict_len = len(word_dict) -label_dict_len = len(label_dict) -pred_len = len(verb_dict) - -mark_dict_len = 2 -word_dim = 32 -mark_dim = 5 -hidden_dim = 512 -depth = 8 -default_std = 1 / math.sqrt(hidden_dim) / 3.0 -mix_hidden_lr = 1e-3 - - -# TODO(helin): remove this once paddle.v2.reader.creator.recordio is -# fixed. -def recordio(paths, buf_size=100): - """ - Creates a data reader from given RecordIO file paths separated by ",", - glob pattern is supported. - :path: path of recordio files. - :returns: data reader of recordio files. - """ - - import recordio as rec - import paddle.v2.reader.decorator as dec - import cPickle as pickle - - def reader(): - f = rec.reader(paths) - while True: - r = f.read() - if r is None: - break - yield pickle.loads(r) - f.close() - - return dec.buffered(reader, buf_size) - - -def d_type(size): - return paddle.data_type.integer_value_sequence(size) - - -def db_lstm(): - #8 features - word = paddle.layer.data(name='word_data', type=d_type(word_dict_len)) - predicate = paddle.layer.data(name='verb_data', type=d_type(pred_len)) - - ctx_n2 = paddle.layer.data(name='ctx_n2_data', type=d_type(word_dict_len)) - ctx_n1 = paddle.layer.data(name='ctx_n1_data', type=d_type(word_dict_len)) - ctx_0 = paddle.layer.data(name='ctx_0_data', type=d_type(word_dict_len)) - ctx_p1 = paddle.layer.data(name='ctx_p1_data', type=d_type(word_dict_len)) - ctx_p2 = paddle.layer.data(name='ctx_p2_data', type=d_type(word_dict_len)) - mark = paddle.layer.data(name='mark_data', type=d_type(mark_dict_len)) - - emb_para = paddle.attr.Param(name='emb', initial_std=0., is_static=True) - std_0 = paddle.attr.Param(initial_std=0.) - std_default = paddle.attr.Param(initial_std=default_std) - - predicate_embedding = paddle.layer.embedding( - size=word_dim, - input=predicate, - param_attr=paddle.attr.Param( - name='vemb', initial_std=default_std)) - mark_embedding = paddle.layer.embedding( - size=mark_dim, input=mark, param_attr=std_0) - - word_input = [word, ctx_n2, ctx_n1, ctx_0, ctx_p1, ctx_p2] - emb_layers = [ - paddle.layer.embedding( - size=word_dim, input=x, param_attr=emb_para) for x in word_input - ] - emb_layers.append(predicate_embedding) - emb_layers.append(mark_embedding) - - hidden_0 = paddle.layer.mixed( - size=hidden_dim, - bias_attr=std_default, - input=[ - paddle.layer.full_matrix_projection( - input=emb, param_attr=std_default) for emb in emb_layers - ]) - - lstm_para_attr = paddle.attr.Param(initial_std=0.0, learning_rate=1.0) - hidden_para_attr = paddle.attr.Param( - initial_std=default_std, learning_rate=mix_hidden_lr) - - lstm_0 = paddle.layer.lstmemory( - input=hidden_0, - act=paddle.activation.Relu(), - gate_act=paddle.activation.Sigmoid(), - state_act=paddle.activation.Sigmoid(), - bias_attr=std_0, - param_attr=lstm_para_attr) - - #stack L-LSTM and R-LSTM with direct edges - input_tmp = [hidden_0, lstm_0] - - for i in range(1, depth): - mix_hidden = paddle.layer.mixed( - size=hidden_dim, - bias_attr=std_default, - input=[ - paddle.layer.full_matrix_projection( - input=input_tmp[0], param_attr=hidden_para_attr), - paddle.layer.full_matrix_projection( - input=input_tmp[1], param_attr=lstm_para_attr) - ]) - - lstm = paddle.layer.lstmemory( - input=mix_hidden, - act=paddle.activation.Relu(), - gate_act=paddle.activation.Sigmoid(), - state_act=paddle.activation.Sigmoid(), - reverse=((i % 2) == 1), - bias_attr=std_0, - param_attr=lstm_para_attr) - - input_tmp = [mix_hidden, lstm] - - feature_out = paddle.layer.mixed( - size=label_dict_len, - bias_attr=std_default, - input=[ - paddle.layer.full_matrix_projection( - input=input_tmp[0], param_attr=hidden_para_attr), - paddle.layer.full_matrix_projection( - input=input_tmp[1], param_attr=lstm_para_attr) - ], ) - - return feature_out - - -def load_parameter(file_name, h, w): - with open(file_name, 'rb') as f: - f.read(16) # skip header. - return np.fromfile(f, dtype=np.float32).reshape(h, w) - - -def main(): - paddle.init() - - # define network topology - feature_out = db_lstm() - target = paddle.layer.data(name='target', type=d_type(label_dict_len)) - crf_cost = paddle.layer.crf(size=label_dict_len, - input=feature_out, - label=target, - param_attr=paddle.attr.Param( - name='crfw', - initial_std=default_std, - learning_rate=mix_hidden_lr)) - - crf_dec = paddle.layer.crf_decoding( - size=label_dict_len, - input=feature_out, - label=target, - param_attr=paddle.attr.Param(name='crfw')) - evaluator.sum(input=crf_dec) - - # create parameters - parameters = paddle.parameters.create(crf_cost) - parameters.set('emb', load_parameter(conll05.get_embedding(), 44068, 32)) - - # create optimizer - optimizer = paddle.optimizer.Momentum( - momentum=0, - learning_rate=2e-2, - regularization=paddle.optimizer.L2Regularization(rate=8e-4), - model_average=paddle.optimizer.ModelAverage( - average_window=0.5, max_average_window=10000), ) - - trainer = paddle.trainer.SGD(cost=crf_cost, - parameters=parameters, - update_equation=optimizer, - extra_layers=crf_dec) - - reader = paddle.batch( - paddle.reader.shuffle( - recordio("/pfs/dlnel/public/dataset/conll05/conl105_train-*"), - buf_size=8192), - batch_size=10) - reader_test = paddle.batch( - paddle.reader.shuffle( - recordio("/pfs/dlnel/public/dataset/conll05/conl105_test-*"), - buf_size=50), - batch_size=10) - - feeding = { - 'word_data': 0, - 'ctx_n2_data': 1, - 'ctx_n1_data': 2, - 'ctx_0_data': 3, - 'ctx_p1_data': 4, - 'ctx_p2_data': 5, - 'verb_data': 6, - 'mark_data': 7, - 'target': 8 - } - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - if event.batch_id % 1000 == 0: - result = trainer.test(reader=reader, feeding=feeding) - print "\nTest with Pass %d, Batch %d, %s" % ( - event.pass_id, event.batch_id, result.metrics) - - if isinstance(event, paddle.event.EndPass): - # save parameters - with open('params_pass_%d.tar' % event.pass_id, 'w') as f: - parameters.to_tar(f) - - result = trainer.test(reader=reader_test, feeding=feeding) - print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics) - - trainer.train( - reader=reader, - event_handler=event_handler, - num_passes=1, - feeding=feeding) - - test_creator = paddle.dataset.conll05.test() - test_data = [] - for item in test_creator(): - test_data.append(item[0:8]) - if len(test_data) == 1: - break - - predict = paddle.layer.crf_decoding( - size=label_dict_len, - input=feature_out, - param_attr=paddle.attr.Param(name='crfw')) - probs = paddle.infer( - output_layer=predict, - parameters=parameters, - input=test_data, - field='id') - assert len(probs) == len(test_data[0][0]) - labels_reverse = {} - for (k, v) in label_dict.items(): - labels_reverse[v] = k - pre_lab = [labels_reverse[i] for i in probs] - print pre_lab - - -if __name__ == '__main__': - main() diff --git a/demo/label_semantic_roles/train_ft.py b/demo/label_semantic_roles/train_ft.py deleted file mode 100644 index a3818e98..00000000 --- a/demo/label_semantic_roles/train_ft.py +++ /dev/null @@ -1,249 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -import math -import numpy as np -import paddle.v2 as paddle -import paddle.v2.dataset.conll05 as conll05 -import paddle.v2.evaluator as evaluator -from paddle.v2.reader.creator import cloud_reader - -etcd_ip = os.getenv("ETCD_IP") -etcd_endpoint = "http://" + etcd_ip + ":" + "2379" - -word_dict, verb_dict, label_dict = conll05.get_dict() -word_dict_len = len(word_dict) -label_dict_len = len(label_dict) -pred_len = len(verb_dict) - -mark_dict_len = 2 -word_dim = 32 -mark_dim = 5 -hidden_dim = 512 -depth = 8 -default_std = 1 / math.sqrt(hidden_dim) / 3.0 -mix_hidden_lr = 1e-3 - - -def d_type(size): - return paddle.data_type.integer_value_sequence(size) - - -def db_lstm(): - #8 features - word = paddle.layer.data(name='word_data', type=d_type(word_dict_len)) - predicate = paddle.layer.data(name='verb_data', type=d_type(pred_len)) - - ctx_n2 = paddle.layer.data(name='ctx_n2_data', type=d_type(word_dict_len)) - ctx_n1 = paddle.layer.data(name='ctx_n1_data', type=d_type(word_dict_len)) - ctx_0 = paddle.layer.data(name='ctx_0_data', type=d_type(word_dict_len)) - ctx_p1 = paddle.layer.data(name='ctx_p1_data', type=d_type(word_dict_len)) - ctx_p2 = paddle.layer.data(name='ctx_p2_data', type=d_type(word_dict_len)) - mark = paddle.layer.data(name='mark_data', type=d_type(mark_dict_len)) - - emb_para = paddle.attr.Param(name='emb', initial_std=0., is_static=True) - std_0 = paddle.attr.Param(initial_std=0.) - std_default = paddle.attr.Param(initial_std=default_std) - - predicate_embedding = paddle.layer.embedding( - size=word_dim, - input=predicate, - param_attr=paddle.attr.Param( - name='vemb', initial_std=default_std)) - mark_embedding = paddle.layer.embedding( - size=mark_dim, input=mark, param_attr=std_0) - - word_input = [word, ctx_n2, ctx_n1, ctx_0, ctx_p1, ctx_p2] - emb_layers = [ - paddle.layer.embedding( - size=word_dim, input=x, param_attr=emb_para) for x in word_input - ] - emb_layers.append(predicate_embedding) - emb_layers.append(mark_embedding) - - hidden_0 = paddle.layer.mixed( - size=hidden_dim, - bias_attr=std_default, - input=[ - paddle.layer.full_matrix_projection( - input=emb, param_attr=std_default) for emb in emb_layers - ]) - - lstm_para_attr = paddle.attr.Param(initial_std=0.0, learning_rate=1.0) - hidden_para_attr = paddle.attr.Param( - initial_std=default_std, learning_rate=mix_hidden_lr) - - lstm_0 = paddle.layer.lstmemory( - input=hidden_0, - act=paddle.activation.Relu(), - gate_act=paddle.activation.Sigmoid(), - state_act=paddle.activation.Sigmoid(), - bias_attr=std_0, - param_attr=lstm_para_attr) - - #stack L-LSTM and R-LSTM with direct edges - input_tmp = [hidden_0, lstm_0] - - for i in range(1, depth): - mix_hidden = paddle.layer.mixed( - size=hidden_dim, - bias_attr=std_default, - input=[ - paddle.layer.full_matrix_projection( - input=input_tmp[0], param_attr=hidden_para_attr), - paddle.layer.full_matrix_projection( - input=input_tmp[1], param_attr=lstm_para_attr) - ]) - - lstm = paddle.layer.lstmemory( - input=mix_hidden, - act=paddle.activation.Relu(), - gate_act=paddle.activation.Sigmoid(), - state_act=paddle.activation.Sigmoid(), - reverse=((i % 2) == 1), - bias_attr=std_0, - param_attr=lstm_para_attr) - - input_tmp = [mix_hidden, lstm] - - feature_out = paddle.layer.mixed( - size=label_dict_len, - bias_attr=std_default, - input=[ - paddle.layer.full_matrix_projection( - input=input_tmp[0], param_attr=hidden_para_attr), - paddle.layer.full_matrix_projection( - input=input_tmp[1], param_attr=lstm_para_attr) - ], ) - - return feature_out - - -def load_parameter(file_name, h, w): - with open(file_name, 'rb') as f: - f.read(16) # skip header. - return np.fromfile(f, dtype=np.float32).reshape(h, w) - - -def main(): - paddle.init() - - # define network topology - feature_out = db_lstm() - target = paddle.layer.data(name='target', type=d_type(label_dict_len)) - crf_cost = paddle.layer.crf(size=label_dict_len, - input=feature_out, - label=target, - param_attr=paddle.attr.Param( - name='crfw', - initial_std=default_std, - learning_rate=mix_hidden_lr)) - - crf_dec = paddle.layer.crf_decoding( - size=label_dict_len, - input=feature_out, - label=target, - param_attr=paddle.attr.Param(name='crfw')) - evaluator.sum(input=crf_dec) - - # create parameters - parameters = paddle.parameters.create(crf_cost) - parameters.set('emb', load_parameter(conll05.get_embedding(), 44068, 32)) - - # create optimizer - optimizer = paddle.optimizer.Momentum( - momentum=0, - learning_rate=2e-2, - regularization=paddle.optimizer.L2Regularization(rate=8e-4), - model_average=paddle.optimizer.ModelAverage( - average_window=0.5, max_average_window=10000), ) - - trainer = paddle.trainer.SGD(cost=crf_cost, - parameters=parameters, - update_equation=optimizer, - extra_layers=crf_dec) - - reader = paddle.batch( - paddle.reader.shuffle( - cloud_reader( - ["/pfs/dlnel/public/dataset/conll05/conl105_train-*"], - etcd_endpoint), - buf_size=8192), - batch_size=10) - - feeding = { - 'word_data': 0, - 'ctx_n2_data': 1, - 'ctx_n1_data': 2, - 'ctx_0_data': 3, - 'ctx_p1_data': 4, - 'ctx_p2_data': 5, - 'verb_data': 6, - 'mark_data': 7, - 'target': 8 - } - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - if event.batch_id % 1000 == 0: - result = trainer.test(reader=reader, feeding=feeding) - print "\nTest with Pass %d, Batch %d, %s" % ( - event.pass_id, event.batch_id, result.metrics) - - if isinstance(event, paddle.event.EndPass): - # save parameters - with open('params_pass_%d.tar' % event.pass_id, 'w') as f: - parameters.to_tar(f) - - result = trainer.test( - reader=paddle.batch(conll05.test(), 10), feeding=feeding) - print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics) - - trainer.train( - reader=reader, - event_handler=event_handler, - num_passes=1, - feeding=feeding) - - test_creator = paddle.dataset.conll05.test() - test_data = [] - for item in test_creator(): - test_data.append(item[0:8]) - if len(test_data) == 1: - break - - predict = paddle.layer.crf_decoding( - size=label_dict_len, - input=feature_out, - param_attr=paddle.attr.Param(name='crfw')) - probs = paddle.infer( - output_layer=predict, - parameters=parameters, - input=test_data, - feeding=feeding, - field='id') - assert len(probs) == len(test_data[0][0]) - labels_reverse = {} - for (k, v) in label_dict.items(): - labels_reverse[v] = k - pre_lab = [labels_reverse[i] for i in probs] - print pre_lab - - -if __name__ == '__main__': - main() diff --git a/demo/machine_translation/train.py b/demo/machine_translation/train.py deleted file mode 100644 index 8b96743b..00000000 --- a/demo/machine_translation/train.py +++ /dev/null @@ -1,275 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -import sys -import numpy as np - -import paddle.v2 as paddle - - -# TODO(helin): remove this once paddle.v2.reader.creator.recordio is -# fixed. -def recordio(paths, buf_size=100): - """ - Creates a data reader from given RecordIO file paths separated by ",", - glob pattern is supported. - :path: path of recordio files. - :returns: data reader of recordio files. - """ - - import recordio as rec - import paddle.v2.reader.decorator as dec - import cPickle as pickle - - def reader(): - f = rec.reader(paths) - while True: - r = f.read() - if r is None: - break - yield pickle.loads(r) - f.close() - - return dec.buffered(reader, buf_size) - - -def save_model(parameters, save_path): - with open(save_path, 'w') as f: - parameters.to_tar(f) - - -def seq_to_seq_net(source_dict_dim, - target_dict_dim, - is_generating, - beam_size=3, - max_length=250): - ### Network Architecture - word_vector_dim = 512 # dimension of word vector - decoder_size = 512 # dimension of hidden unit of GRU decoder - encoder_size = 512 # dimension of hidden unit of GRU encoder - - #### Encoder - src_word_id = paddle.layer.data( - name='source_language_word', - type=paddle.data_type.integer_value_sequence(source_dict_dim)) - src_embedding = paddle.layer.embedding( - input=src_word_id, size=word_vector_dim) - src_forward = paddle.networks.simple_gru( - input=src_embedding, size=encoder_size) - src_backward = paddle.networks.simple_gru( - input=src_embedding, size=encoder_size, reverse=True) - encoded_vector = paddle.layer.concat(input=[src_forward, src_backward]) - - #### Decoder - encoded_proj = paddle.layer.fc(act=paddle.activation.Linear(), - size=decoder_size, - bias_attr=False, - input=encoded_vector) - - backward_first = paddle.layer.first_seq(input=src_backward) - - decoder_boot = paddle.layer.fc(size=decoder_size, - act=paddle.activation.Tanh(), - bias_attr=False, - input=backward_first) - - def gru_decoder_with_attention(enc_vec, enc_proj, current_word): - - decoder_mem = paddle.layer.memory( - name='gru_decoder', size=decoder_size, boot_layer=decoder_boot) - - context = paddle.networks.simple_attention( - encoded_sequence=enc_vec, - encoded_proj=enc_proj, - decoder_state=decoder_mem) - - decoder_inputs = paddle.layer.fc( - act=paddle.activation.Linear(), - size=decoder_size * 3, - bias_attr=False, - input=[context, current_word], - layer_attr=paddle.attr.ExtraLayerAttribute( - error_clipping_threshold=100.0)) - - gru_step = paddle.layer.gru_step( - name='gru_decoder', - input=decoder_inputs, - output_mem=decoder_mem, - size=decoder_size) - - out = paddle.layer.fc(size=target_dict_dim, - bias_attr=True, - act=paddle.activation.Softmax(), - input=gru_step) - return out - - decoder_group_name = 'decoder_group' - group_input1 = paddle.layer.StaticInput(input=encoded_vector) - group_input2 = paddle.layer.StaticInput(input=encoded_proj) - group_inputs = [group_input1, group_input2] - - if not is_generating: - trg_embedding = paddle.layer.embedding( - input=paddle.layer.data( - name='target_language_word', - type=paddle.data_type.integer_value_sequence(target_dict_dim)), - size=word_vector_dim, - param_attr=paddle.attr.ParamAttr( - name='_target_language_embedding')) - group_inputs.append(trg_embedding) - - # For decoder equipped with attention mechanism, in training, - # target embeding (the groudtruth) is the data input, - # while encoded source sequence is accessed to as an unbounded memory. - # Here, the StaticInput defines a read-only memory - # for the recurrent_group. - decoder = paddle.layer.recurrent_group( - name=decoder_group_name, - step=gru_decoder_with_attention, - input=group_inputs) - - lbl = paddle.layer.data( - name='target_language_next_word', - type=paddle.data_type.integer_value_sequence(target_dict_dim)) - cost = paddle.layer.classification_cost(input=decoder, label=lbl) - - return cost - else: - # In generation, the decoder predicts a next target word based on - # the encoded source sequence and the previous generated target word. - - # The encoded source sequence (encoder's output) must be specified by - # StaticInput, which is a read-only memory. - # Embedding of the previous generated word is automatically retrieved - # by GeneratedInputs initialized by a start mark . - - trg_embedding = paddle.layer.GeneratedInput( - size=target_dict_dim, - embedding_name='_target_language_embedding', - embedding_size=word_vector_dim) - group_inputs.append(trg_embedding) - - beam_gen = paddle.layer.beam_search( - name=decoder_group_name, - step=gru_decoder_with_attention, - input=group_inputs, - bos_id=0, - eos_id=1, - beam_size=beam_size, - max_length=max_length) - - return beam_gen - - -def main(): - paddle.init() - is_generating = False - - # source and target dict dim. - dict_size = 30000 - source_dict_dim = target_dict_dim = dict_size - - # train the network - if not is_generating: - # define optimize method and trainer - optimizer = paddle.optimizer.Adam( - learning_rate=5e-5, - regularization=paddle.optimizer.L2Regularization(rate=8e-4)) - - cost = seq_to_seq_net(source_dict_dim, target_dict_dim, is_generating) - parameters = paddle.parameters.create(cost) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer) - # define data reader - wmt14_reader = paddle.batch( - paddle.reader.shuffle( - recordio("/pfs/dlnel/public/dataset/wmt14/wmt14_train-*"), - buf_size=8192), - batch_size=4) - - # define event_handler callback - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 10 == 0: - print("\nPass %d, Batch %d, Cost %f, %s" % - (event.pass_id, event.batch_id, event.cost, - event.metrics)) - else: - sys.stdout.write('.') - sys.stdout.flush() - - if not event.batch_id % 10: - save_path = 'params_pass_%05d_batch_%05d.tar' % ( - event.pass_id, event.batch_id) - save_model(parameters, save_path) - - if isinstance(event, paddle.event.EndPass): - # save parameters - save_path = 'params_pass_%05d.tar' % (event.pass_id) - save_model(parameters, save_path) - - # start to train - trainer.train( - reader=wmt14_reader, event_handler=event_handler, num_passes=2) - - # generate a english sequence to french - else: - # use the first 3 samples for generation - gen_data = [] - gen_num = 3 - for item in paddle.dataset.wmt14.gen(dict_size)(): - gen_data.append([item[0]]) - if len(gen_data) == gen_num: - break - - beam_size = 3 - beam_gen = seq_to_seq_net(source_dict_dim, target_dict_dim, - is_generating, beam_size) - - # get the trained model, whose bleu = 26.92 - parameters = paddle.dataset.wmt14.model() - - # prob is the prediction probabilities, and id is the prediction word. - beam_result = paddle.infer( - output_layer=beam_gen, - parameters=parameters, - input=gen_data, - field=['prob', 'id']) - - # load the dictionary - src_dict, trg_dict = paddle.dataset.wmt14.get_dict(dict_size) - - gen_sen_idx = np.where(beam_result[1] == -1)[0] - assert len(gen_sen_idx) == len(gen_data) * beam_size - - # -1 is the delimiter of generated sequences. - # the first element of each generated sequence its length. - start_pos, end_pos = 1, 0 - for i, sample in enumerate(gen_data): - print( - " ".join([src_dict[w] for w in sample[0][1:-1]]) - ) # skip the start and ending mark when printing the source sentence - for j in xrange(beam_size): - end_pos = gen_sen_idx[i * beam_size + j] - print("%.4f\t%s" % (beam_result[0][i][j], " ".join( - trg_dict[w] for w in beam_result[1][start_pos:end_pos]))) - start_pos = end_pos + 2 - print("\n") - - -if __name__ == '__main__': - main() diff --git a/demo/machine_translation/train_ft.py b/demo/machine_translation/train_ft.py deleted file mode 100644 index 4b84a154..00000000 --- a/demo/machine_translation/train_ft.py +++ /dev/null @@ -1,255 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -import sys -import numpy as np - -import paddle.v2 as paddle -from paddle.v2.reader.creator import cloud_reader - -etcd_ip = os.getenv("ETCD_IP") -etcd_endpoint = "http://" + etcd_ip + ":" + "2379" - - -def save_model(parameters, save_path): - with open(save_path, 'w') as f: - parameters.to_tar(f) - - -def seq_to_seq_net(source_dict_dim, - target_dict_dim, - is_generating, - beam_size=3, - max_length=250): - ### Network Architecture - word_vector_dim = 512 # dimension of word vector - decoder_size = 512 # dimension of hidden unit of GRU decoder - encoder_size = 512 # dimension of hidden unit of GRU encoder - - #### Encoder - src_word_id = paddle.layer.data( - name='source_language_word', - type=paddle.data_type.integer_value_sequence(source_dict_dim)) - src_embedding = paddle.layer.embedding( - input=src_word_id, size=word_vector_dim) - src_forward = paddle.networks.simple_gru( - input=src_embedding, size=encoder_size) - src_backward = paddle.networks.simple_gru( - input=src_embedding, size=encoder_size, reverse=True) - encoded_vector = paddle.layer.concat(input=[src_forward, src_backward]) - - #### Decoder - encoded_proj = paddle.layer.fc(act=paddle.activation.Linear(), - size=decoder_size, - bias_attr=False, - input=encoded_vector) - - backward_first = paddle.layer.first_seq(input=src_backward) - - decoder_boot = paddle.layer.fc(size=decoder_size, - act=paddle.activation.Tanh(), - bias_attr=False, - input=backward_first) - - def gru_decoder_with_attention(enc_vec, enc_proj, current_word): - - decoder_mem = paddle.layer.memory( - name='gru_decoder', size=decoder_size, boot_layer=decoder_boot) - - context = paddle.networks.simple_attention( - encoded_sequence=enc_vec, - encoded_proj=enc_proj, - decoder_state=decoder_mem) - - decoder_inputs = paddle.layer.fc( - act=paddle.activation.Linear(), - size=decoder_size * 3, - bias_attr=False, - input=[context, current_word], - layer_attr=paddle.attr.ExtraLayerAttribute( - error_clipping_threshold=100.0)) - - gru_step = paddle.layer.gru_step( - name='gru_decoder', - input=decoder_inputs, - output_mem=decoder_mem, - size=decoder_size) - - out = paddle.layer.fc(size=target_dict_dim, - bias_attr=True, - act=paddle.activation.Softmax(), - input=gru_step) - return out - - decoder_group_name = 'decoder_group' - group_input1 = paddle.layer.StaticInput(input=encoded_vector) - group_input2 = paddle.layer.StaticInput(input=encoded_proj) - group_inputs = [group_input1, group_input2] - - if not is_generating: - trg_embedding = paddle.layer.embedding( - input=paddle.layer.data( - name='target_language_word', - type=paddle.data_type.integer_value_sequence(target_dict_dim)), - size=word_vector_dim, - param_attr=paddle.attr.ParamAttr( - name='_target_language_embedding')) - group_inputs.append(trg_embedding) - - # For decoder equipped with attention mechanism, in training, - # target embeding (the groudtruth) is the data input, - # while encoded source sequence is accessed to as an unbounded memory. - # Here, the StaticInput defines a read-only memory - # for the recurrent_group. - decoder = paddle.layer.recurrent_group( - name=decoder_group_name, - step=gru_decoder_with_attention, - input=group_inputs) - - lbl = paddle.layer.data( - name='target_language_next_word', - type=paddle.data_type.integer_value_sequence(target_dict_dim)) - cost = paddle.layer.classification_cost(input=decoder, label=lbl) - - return cost - else: - # In generation, the decoder predicts a next target word based on - # the encoded source sequence and the previous generated target word. - - # The encoded source sequence (encoder's output) must be specified by - # StaticInput, which is a read-only memory. - # Embedding of the previous generated word is automatically retrieved - # by GeneratedInputs initialized by a start mark . - - trg_embedding = paddle.layer.GeneratedInput( - size=target_dict_dim, - embedding_name='_target_language_embedding', - embedding_size=word_vector_dim) - group_inputs.append(trg_embedding) - - beam_gen = paddle.layer.beam_search( - name=decoder_group_name, - step=gru_decoder_with_attention, - input=group_inputs, - bos_id=0, - eos_id=1, - beam_size=beam_size, - max_length=max_length) - - return beam_gen - - -def main(): - paddle.init() - is_generating = False - - # source and target dict dim. - dict_size = 30000 - source_dict_dim = target_dict_dim = dict_size - - # train the network - if not is_generating: - # define optimize method and trainer - optimizer = paddle.optimizer.Adam( - learning_rate=5e-5, - regularization=paddle.optimizer.L2Regularization(rate=8e-4)) - - cost = seq_to_seq_net(source_dict_dim, target_dict_dim, is_generating) - parameters = paddle.parameters.create(cost) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer) - # define data reader - wmt14_reader = paddle.batch( - paddle.reader.shuffle( - cloud_reader( - ["/pfs/dlnel/public/dataset/wmt14/wmt14_train-*"], - etcd_endpoint), - buf_size=8192), - batch_size=4) - - # define event_handler callback - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 10 == 0: - print("\nPass %d, Batch %d, Cost %f, %s" % - (event.pass_id, event.batch_id, event.cost, - event.metrics)) - else: - sys.stdout.write('.') - sys.stdout.flush() - - if not event.batch_id % 10: - save_path = 'params_pass_%05d_batch_%05d.tar' % ( - event.pass_id, event.batch_id) - save_model(parameters, save_path) - - if isinstance(event, paddle.event.EndPass): - # save parameters - save_path = 'params_pass_%05d.tar' % (event.pass_id) - save_model(parameters, save_path) - - # start to train - trainer.train( - reader=wmt14_reader, event_handler=event_handler, num_passes=2) - - # generate a english sequence to french - else: - # use the first 3 samples for generation - gen_data = [] - gen_num = 3 - for item in paddle.dataset.wmt14.gen(dict_size)(): - gen_data.append([item[0]]) - if len(gen_data) == gen_num: - break - - beam_size = 3 - beam_gen = seq_to_seq_net(source_dict_dim, target_dict_dim, - is_generating, beam_size) - - # get the trained model, whose bleu = 26.92 - parameters = paddle.dataset.wmt14.model() - - # prob is the prediction probabilities, and id is the prediction word. - beam_result = paddle.infer( - output_layer=beam_gen, - parameters=parameters, - input=gen_data, - field=['prob', 'id']) - - # load the dictionary - src_dict, trg_dict = paddle.dataset.wmt14.get_dict(dict_size) - - gen_sen_idx = np.where(beam_result[1] == -1)[0] - assert len(gen_sen_idx) == len(gen_data) * beam_size - - # -1 is the delimiter of generated sequences. - # the first element of each generated sequence its length. - start_pos, end_pos = 1, 0 - for i, sample in enumerate(gen_data): - print( - " ".join([src_dict[w] for w in sample[0][1:-1]]) - ) # skip the start and ending mark when printing the source sentence - for j in xrange(beam_size): - end_pos = gen_sen_idx[i * beam_size + j] - print("%.4f\t%s" % (beam_result[0][i][j], " ".join( - trg_dict[w] for w in beam_result[1][start_pos:end_pos]))) - start_pos = end_pos + 2 - print("\n") - - -if __name__ == '__main__': - main() diff --git a/demo/recognize_digits/train.py b/demo/recognize_digits/train.py deleted file mode 100644 index 68d13549..00000000 --- a/demo/recognize_digits/train.py +++ /dev/null @@ -1,182 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from PIL import Image -import numpy as np -import paddle.v2 as paddle -import paddle.v2.dataset.common as common -import os -import sys -import glob -import pickle - -# NOTE: must change this to your own username on paddlecloud. -USERNAME = "wanghaoshuang@baidu.com" -DC = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") -common.DATA_HOME = "/pfs/%s/home/%s" % (DC, USERNAME) -TRAIN_FILES_PATH = os.path.join(common.DATA_HOME, "mnist") -TEST_FILES_PATH = os.path.join(common.DATA_HOME, "mnist") - -TRAINER_ID = int(os.getenv("PADDLE_INIT_TRAINER_ID", "-1")) -TRAINER_COUNT = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS", "-1")) - - -def prepare_dataset(): - # convert will also split the dataset by line-count - common.convert(TRAIN_FILES_PATH, - paddle.dataset.mnist.train(), 8192, "train") - common.convert(TEST_FILES_PATH, paddle.dataset.mnist.test(), 1, "test") - - -def cluster_reader_recordio(trainer_id, trainer_count, flag): - ''' - read from cloud dataset which is stored as recordio format - each trainer will read a subset of files of the whole dataset. - ''' - import recordio - - def reader(): - PATTERN_STR = "%s-*" % flag - FILES_PATTERN = os.path.join(TRAIN_FILES_PATH, PATTERN_STR) - file_list = glob.glob(FILES_PATTERN) - file_list.sort() - my_file_list = [] - # read files for current trainer_id - for idx, f in enumerate(file_list): - if idx % trainer_count == trainer_id: - my_file_list.append(f) - for f in my_file_list: - print "processing ", f - reader = recordio.reader(f) - record_raw = reader.read() - while record_raw: - yield pickle.loads(record_raw) - record_raw = reader.read() - reader.close() - - return reader - - -def softmax_regression(img): - predict = paddle.layer.fc(input=img, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def multilayer_perceptron(img): - # The first fully-connected layer - hidden1 = paddle.layer.fc(input=img, - size=128, - act=paddle.activation.Relu()) - # The second fully-connected layer and the according activation function - hidden2 = paddle.layer.fc(input=hidden1, - size=64, - act=paddle.activation.Relu()) - # The thrid fully-connected layer, note that the hidden size should be 10, - # which is the number of unique digits - predict = paddle.layer.fc(input=hidden2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def convolutional_neural_network(img): - # first conv layer - conv_pool_1 = paddle.networks.simple_img_conv_pool( - input=img, - filter_size=5, - num_filters=20, - num_channel=1, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # second conv layer - conv_pool_2 = paddle.networks.simple_img_conv_pool( - input=conv_pool_1, - filter_size=5, - num_filters=50, - num_channel=20, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # fully-connected layer - predict = paddle.layer.fc(input=conv_pool_2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def main(): - paddle.init() - - # define network topology - images = paddle.layer.data( - name='pixel', type=paddle.data_type.dense_vector(784)) - label = paddle.layer.data( - name='label', type=paddle.data_type.integer_value(10)) - - # Here we can build the prediction network in different ways. Please - # choose one by uncomment corresponding line. - # predict = softmax_regression(images) - # predict = multilayer_perceptron(images) - predict = convolutional_neural_network(images) - - cost = paddle.layer.classification_cost(input=predict, label=label) - - parameters = paddle.parameters.create(cost) - - optimizer = paddle.optimizer.Momentum( - learning_rate=0.1 / 128.0, - momentum=0.9, - regularization=paddle.optimizer.L2Regularization(rate=0.0005 * 128)) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer) - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - if isinstance(event, paddle.event.EndPass): - result = trainer.test(reader=paddle.batch( - cluster_reader_recordio(TRAINER_ID, TRAINER_COUNT, "test"), - batch_size=2)) - print "Test with Pass %d, Cost %f, %s\n" % ( - event.pass_id, result.cost, result.metrics) - - trainer.train( - reader=paddle.batch( - cluster_reader_recordio(TRAINER_ID, TRAINER_COUNT, "train"), - batch_size=128), - event_handler=event_handler, - num_passes=5) - - -if __name__ == '__main__': - usage = "python train.py [prepare|train]" - if len(sys.argv) != 2: - print usage - exit(1) - - if TRAINER_ID == -1 or TRAINER_COUNT == -1: - print "no cloud environ found, must run on cloud" - exit(1) - - if sys.argv[1] == "prepare": - prepare_dataset() - elif sys.argv[1] == "train": - main() diff --git a/demo/recognize_digits/train_ft.py b/demo/recognize_digits/train_ft.py deleted file mode 100644 index 07b325d2..00000000 --- a/demo/recognize_digits/train_ft.py +++ /dev/null @@ -1,187 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from PIL import Image -import numpy as np -import paddle.v2 as paddle -import paddle.v2.dataset.common as common -import os -import sys -import glob -import pickle - -# NOTE: must change this to your own username on paddlecloud. -USERNAME = "demo" -DC = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") -common.DATA_HOME = "/pfs/%s/home/%s" % (DC, USERNAME) -TRAIN_FILES_PATH = os.path.join(common.DATA_HOME, "mnist") -TEST_FILES_PATH = os.path.join(common.DATA_HOME, "mnist") - -TRAINER_ID = int(os.getenv("PADDLE_INIT_TRAINER_ID", "-1")) -TRAINER_COUNT = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS", "-1")) - - -def prepare_dataset(): - # convert will also split the dataset by line-count - common.convert(TRAIN_FILES_PATH, - paddle.dataset.mnist.train(), 8192, "train") - common.convert(TEST_FILES_PATH, paddle.dataset.mnist.test(), 512, "test") - - -def cluster_reader_recordio(trainer_id, trainer_count, flag): - ''' - read from cloud dataset which is stored as recordio format - each trainer will read a subset of files of the whole dataset. - ''' - import recordio - - def reader(): - PATTERN_STR = "%s-*" % flag - FILES_PATTERN = os.path.join(TRAIN_FILES_PATH, PATTERN_STR) - file_list = glob.glob(FILES_PATTERN) - file_list.sort() - my_file_list = [] - # read files for current trainer_id - for idx, f in enumerate(file_list): - if idx % trainer_count == trainer_id: - my_file_list.append(f) - for f in my_file_list: - print "processing ", f - reader = recordio.reader(f) - record_raw = reader.read() - while record_raw: - yield pickle.loads(record_raw) - record_raw = reader.read() - reader.close() - - return reader - - -def softmax_regression(img): - predict = paddle.layer.fc(input=img, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def multilayer_perceptron(img): - # The first fully-connected layer - hidden1 = paddle.layer.fc(input=img, - size=128, - act=paddle.activation.Relu()) - # The second fully-connected layer and the according activation function - hidden2 = paddle.layer.fc(input=hidden1, - size=64, - act=paddle.activation.Relu()) - # The thrid fully-connected layer, note that the hidden size should be 10, - # which is the number of unique digits - predict = paddle.layer.fc(input=hidden2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def convolutional_neural_network(img): - # first conv layer - conv_pool_1 = paddle.networks.simple_img_conv_pool( - input=img, - filter_size=5, - num_filters=20, - num_channel=1, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # second conv layer - conv_pool_2 = paddle.networks.simple_img_conv_pool( - input=conv_pool_1, - filter_size=5, - num_filters=50, - num_channel=20, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # fully-connected layer - predict = paddle.layer.fc(input=conv_pool_2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def main(): - etcd_ip = os.getenv("ETCD_IP") - etcd_endpoint = "http://" + etcd_ip + ":" + "2379" - paddle.init() - - # define network topology - images = paddle.layer.data( - name='pixel', type=paddle.data_type.dense_vector(784)) - label = paddle.layer.data( - name='label', type=paddle.data_type.integer_value(10)) - - # Here we can build the prediction network in different ways. Please - # choose one by uncomment corresponding line. - # predict = softmax_regression(images) - # predict = multilayer_perceptron(images) - predict = convolutional_neural_network(images) - - cost = paddle.layer.classification_cost(input=predict, label=label) - - parameters = paddle.parameters.create(cost) - - optimizer = paddle.optimizer.Momentum( - learning_rate=0.1 / 128.0, - momentum=0.9, - regularization=paddle.optimizer.L2Regularization(rate=0.0005 * 128)) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer, - is_local=False, - pserver_spec=etcd_endpoint, - use_etcd=True) - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - if isinstance(event, paddle.event.EndPass): - result = trainer.test(reader=paddle.batch( - cluster_reader_recordio(TRAINER_ID, TRAINER_COUNT, "test"), - batch_size=2)) - print "Test with Pass %d, Cost %f, %s\n" % ( - event.pass_id, result.cost, result.metrics) - - trainer.train( - reader=paddle.batch( - cluster_reader_recordio(TRAINER_ID, TRAINER_COUNT, "train"), - batch_size=128), - event_handler=event_handler, - num_passes=5) - - -if __name__ == '__main__': - usage = "python train.py [prepare|train]" - if len(sys.argv) != 2: - print usage - exit(1) - - if TRAINER_ID == -1 or TRAINER_COUNT == -1: - print "no cloud environ found, must run on cloud" - exit(1) - - if sys.argv[1] == "prepare": - prepare_dataset() - elif sys.argv[1] == "train": - main() diff --git a/demo/recommender_system/train.py b/demo/recommender_system/train.py deleted file mode 100644 index a7ac8425..00000000 --- a/demo/recommender_system/train.py +++ /dev/null @@ -1,175 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -import copy - -import paddle.v2 as paddle - - -# TODO(helin): remove this once paddle.v2.reader.creator.recordio is -# fixed. -def recordio(paths, buf_size=100): - """ - Creates a data reader from given RecordIO file paths separated by ",", - glob pattern is supported. - :path: path of recordio files. - :returns: data reader of recordio files. - """ - - import recordio as rec - import paddle.v2.reader.decorator as dec - import cPickle as pickle - - def reader(): - f = rec.reader(paths) - while True: - r = f.read() - if r is None: - break - yield pickle.loads(r) - f.close() - - return dec.buffered(reader, buf_size) - - -def get_usr_combined_features(): - uid = paddle.layer.data( - name='user_id', - type=paddle.data_type.integer_value( - paddle.dataset.movielens.max_user_id() + 1)) - usr_emb = paddle.layer.embedding(input=uid, size=32) - usr_fc = paddle.layer.fc(input=usr_emb, size=32) - - usr_gender_id = paddle.layer.data( - name='gender_id', type=paddle.data_type.integer_value(2)) - usr_gender_emb = paddle.layer.embedding(input=usr_gender_id, size=16) - usr_gender_fc = paddle.layer.fc(input=usr_gender_emb, size=16) - - usr_age_id = paddle.layer.data( - name='age_id', - type=paddle.data_type.integer_value( - len(paddle.dataset.movielens.age_table))) - usr_age_emb = paddle.layer.embedding(input=usr_age_id, size=16) - usr_age_fc = paddle.layer.fc(input=usr_age_emb, size=16) - - usr_job_id = paddle.layer.data( - name='job_id', - type=paddle.data_type.integer_value( - paddle.dataset.movielens.max_job_id() + 1)) - usr_job_emb = paddle.layer.embedding(input=usr_job_id, size=16) - usr_job_fc = paddle.layer.fc(input=usr_job_emb, size=16) - - usr_combined_features = paddle.layer.fc( - input=[usr_fc, usr_gender_fc, usr_age_fc, usr_job_fc], - size=200, - act=paddle.activation.Tanh()) - return usr_combined_features - - -def get_mov_combined_features(): - movie_title_dict = paddle.dataset.movielens.get_movie_title_dict() - mov_id = paddle.layer.data( - name='movie_id', - type=paddle.data_type.integer_value( - paddle.dataset.movielens.max_movie_id() + 1)) - mov_emb = paddle.layer.embedding(input=mov_id, size=32) - mov_fc = paddle.layer.fc(input=mov_emb, size=32) - - mov_categories = paddle.layer.data( - name='category_id', - type=paddle.data_type.sparse_binary_vector( - len(paddle.dataset.movielens.movie_categories()))) - mov_categories_hidden = paddle.layer.fc(input=mov_categories, size=32) - - mov_title_id = paddle.layer.data( - name='movie_title', - type=paddle.data_type.integer_value_sequence(len(movie_title_dict))) - mov_title_emb = paddle.layer.embedding(input=mov_title_id, size=32) - mov_title_conv = paddle.networks.sequence_conv_pool( - input=mov_title_emb, hidden_size=32, context_len=3) - - mov_combined_features = paddle.layer.fc( - input=[mov_fc, mov_categories_hidden, mov_title_conv], - size=200, - act=paddle.activation.Tanh()) - return mov_combined_features - - -def main(): - paddle.init() - usr_combined_features = get_usr_combined_features() - mov_combined_features = get_mov_combined_features() - inference = paddle.layer.cos_sim( - a=usr_combined_features, b=mov_combined_features, size=1, scale=5) - cost = paddle.layer.square_error_cost( - input=inference, - label=paddle.layer.data( - name='score', type=paddle.data_type.dense_vector(1))) - - parameters = paddle.parameters.create(cost) - - trainer = paddle.trainer.SGD( - cost=cost, - parameters=parameters, - update_equation=paddle.optimizer.Adam(learning_rate=1e-4)) - feeding = { - 'user_id': 0, - 'gender_id': 1, - 'age_id': 2, - 'job_id': 3, - 'movie_id': 4, - 'category_id': 5, - 'movie_title': 6, - 'score': 7 - } - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d Batch %d Cost %.2f" % ( - event.pass_id, event.batch_id, event.cost) - - trainer.train( - reader=paddle.batch( - paddle.reader.shuffle( - recordio( - "/pfs/dlnel/public/dataset/movielens/movielens_train-*"), - buf_size=8192), - batch_size=256), - event_handler=event_handler, - feeding=feeding, - num_passes=1) - - user_id = 234 - movie_id = 345 - - user = paddle.dataset.movielens.user_info()[user_id] - movie = paddle.dataset.movielens.movie_info()[movie_id] - - feature = user.value() + movie.value() - - infer_dict = copy.copy(feeding) - del infer_dict['score'] - - prediction = paddle.infer( - output_layer=inference, - parameters=parameters, - input=[feature], - feeding=infer_dict) - print(prediction + 5) / 2 - - -if __name__ == '__main__': - main() diff --git a/demo/recommender_system/train_ft.py b/demo/recommender_system/train_ft.py deleted file mode 100644 index c3dcbc45..00000000 --- a/demo/recommender_system/train_ft.py +++ /dev/null @@ -1,154 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -import copy - -import paddle.v2 as paddle -from paddle.v2.reader.creator import cloud_reader - -master_ip = os.getenv("MASTER_IP") -etcd_endpoint = "http://" + master_ip + ":" + "2379" - - -def get_usr_combined_features(): - uid = paddle.layer.data( - name='user_id', - type=paddle.data_type.integer_value( - paddle.dataset.movielens.max_user_id() + 1)) - usr_emb = paddle.layer.embedding(input=uid, size=32) - usr_fc = paddle.layer.fc(input=usr_emb, size=32) - - usr_gender_id = paddle.layer.data( - name='gender_id', type=paddle.data_type.integer_value(2)) - usr_gender_emb = paddle.layer.embedding(input=usr_gender_id, size=16) - usr_gender_fc = paddle.layer.fc(input=usr_gender_emb, size=16) - - usr_age_id = paddle.layer.data( - name='age_id', - type=paddle.data_type.integer_value( - len(paddle.dataset.movielens.age_table))) - usr_age_emb = paddle.layer.embedding(input=usr_age_id, size=16) - usr_age_fc = paddle.layer.fc(input=usr_age_emb, size=16) - - usr_job_id = paddle.layer.data( - name='job_id', - type=paddle.data_type.integer_value( - paddle.dataset.movielens.max_job_id() + 1)) - usr_job_emb = paddle.layer.embedding(input=usr_job_id, size=16) - usr_job_fc = paddle.layer.fc(input=usr_job_emb, size=16) - - usr_combined_features = paddle.layer.fc( - input=[usr_fc, usr_gender_fc, usr_age_fc, usr_job_fc], - size=200, - act=paddle.activation.Tanh()) - return usr_combined_features - - -def get_mov_combined_features(): - movie_title_dict = paddle.dataset.movielens.get_movie_title_dict() - mov_id = paddle.layer.data( - name='movie_id', - type=paddle.data_type.integer_value( - paddle.dataset.movielens.max_movie_id() + 1)) - mov_emb = paddle.layer.embedding(input=mov_id, size=32) - mov_fc = paddle.layer.fc(input=mov_emb, size=32) - - mov_categories = paddle.layer.data( - name='category_id', - type=paddle.data_type.sparse_binary_vector( - len(paddle.dataset.movielens.movie_categories()))) - mov_categories_hidden = paddle.layer.fc(input=mov_categories, size=32) - - mov_title_id = paddle.layer.data( - name='movie_title', - type=paddle.data_type.integer_value_sequence(len(movie_title_dict))) - mov_title_emb = paddle.layer.embedding(input=mov_title_id, size=32) - mov_title_conv = paddle.networks.sequence_conv_pool( - input=mov_title_emb, hidden_size=32, context_len=3) - - mov_combined_features = paddle.layer.fc( - input=[mov_fc, mov_categories_hidden, mov_title_conv], - size=200, - act=paddle.activation.Tanh()) - return mov_combined_features - - -def main(): - paddle.init() - usr_combined_features = get_usr_combined_features() - mov_combined_features = get_mov_combined_features() - inference = paddle.layer.cos_sim( - a=usr_combined_features, b=mov_combined_features, size=1, scale=5) - cost = paddle.layer.square_error_cost( - input=inference, - label=paddle.layer.data( - name='score', type=paddle.data_type.dense_vector(1))) - - parameters = paddle.parameters.create(cost) - - trainer = paddle.trainer.SGD( - cost=cost, - parameters=parameters, - update_equation=paddle.optimizer.Adam(learning_rate=1e-4)) - feeding = { - 'user_id': 0, - 'gender_id': 1, - 'age_id': 2, - 'job_id': 3, - 'movie_id': 4, - 'category_id': 5, - 'movie_title': 6, - 'score': 7 - } - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d Batch %d Cost %.2f" % ( - event.pass_id, event.batch_id, event.cost) - - trainer.train( - reader=paddle.batch( - paddle.reader.shuffle( - cloud_reader( - ["/pfs/dlnel/public/dataset/movielens/movielens_train-*"], - etcd_endpoint), - buf_size=8192), - batch_size=256), - event_handler=event_handler, - feeding=feeding, - num_passes=1) - - user_id = 234 - movie_id = 345 - - user = paddle.dataset.movielens.user_info()[user_id] - movie = paddle.dataset.movielens.movie_info()[movie_id] - - feature = user.value() + movie.value() - - infer_dict = copy.copy(feeding) - del infer_dict['score'] - - prediction = paddle.infer( - output_layer=inference, - parameters=parameters, - input=[feature], - feeding=infer_dict) - print(prediction + 5) / 2 - - -if __name__ == '__main__': - main() diff --git a/demo/understand_sentiment/train.py b/demo/understand_sentiment/train.py deleted file mode 100644 index 4b2d12bf..00000000 --- a/demo/understand_sentiment/train.py +++ /dev/null @@ -1,228 +0,0 @@ -# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import paddle.v2 as paddle -import paddle.v2.dataset.common as common -import os -import sys -import glob -import pickle - -# NOTE: must change this to your own username on paddlecloud. -USERNAME = "demo" -DC = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") -common.DATA_HOME = "/pfs/%s/home/%s" % (DC, USERNAME) -TRAIN_FILES_PATH = os.path.join(common.DATA_HOME, "imdb") -TEST_FILES_PATH = os.path.join(common.DATA_HOME, "imdb") - -TRAINER_ID = int(os.getenv("PADDLE_INIT_TRAINER_ID", "-1")) -TRAINER_COUNT = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS", "-1")) - - -def prepare_dataset(): - word_dict = paddle.dataset.imdb.word_dict() - # convert will also split the dataset by line-count - common.convert(TRAIN_FILES_PATH, - lambda: paddle.dataset.imdb.train(word_dict), 1000, "train") - common.convert(TEST_FILES_PATH, - lambda: paddle.dataset.imdb.test(word_dict), 1000, "test") - - -def cluster_reader_recordio(trainer_id, trainer_count, flag): - ''' - read from cloud dataset which is stored as recordio format - each trainer will read a subset of files of the whole dataset. - ''' - import recordio - - def reader(): - PATTERN_STR = "%s-*" % flag - FILES_PATTERN = os.path.join(TRAIN_FILES_PATH, PATTERN_STR) - file_list = glob.glob(FILES_PATTERN) - file_list.sort() - my_file_list = [] - # read files for current trainer_id - for idx, f in enumerate(file_list): - if idx % trainer_count == trainer_id: - my_file_list.append(f) - for f in my_file_list: - print "processing ", f - reader = recordio.reader(f) - record_raw = reader.read() - while record_raw: - yield pickle.loads(record_raw) - record_raw = reader.read() - reader.close() - - return reader - - -def convolution_net(input_dim, class_dim=2, emb_dim=128, hid_dim=128): - data = paddle.layer.data( - "word", paddle.data_type.integer_value_sequence(input_dim)) - emb = paddle.layer.embedding(input=data, size=emb_dim) - conv_3 = paddle.networks.sequence_conv_pool( - input=emb, context_len=3, hidden_size=hid_dim) - conv_4 = paddle.networks.sequence_conv_pool( - input=emb, context_len=4, hidden_size=hid_dim) - output = paddle.layer.fc(input=[conv_3, conv_4], - size=class_dim, - act=paddle.activation.Softmax()) - lbl = paddle.layer.data("label", paddle.data_type.integer_value(2)) - cost = paddle.layer.classification_cost(input=output, label=lbl) - return cost - - -def stacked_lstm_net(input_dim, - class_dim=2, - emb_dim=128, - hid_dim=512, - stacked_num=3): - """ - A Wrapper for sentiment classification task. - This network uses bi-directional recurrent network, - consisting three LSTM layers. This configure is referred to - the paper as following url, but use fewer layrs. - http://www.aclweb.org/anthology/P15-1109 - - input_dim: here is word dictionary dimension. - class_dim: number of categories. - emb_dim: dimension of word embedding. - hid_dim: dimension of hidden layer. - stacked_num: number of stacked lstm-hidden layer. - """ - assert stacked_num % 2 == 1 - - layer_attr = paddle.attr.Extra(drop_rate=0.5) - fc_para_attr = paddle.attr.Param(learning_rate=1e-3) - lstm_para_attr = paddle.attr.Param(initial_std=0., learning_rate=1.) - para_attr = [fc_para_attr, lstm_para_attr] - bias_attr = paddle.attr.Param(initial_std=0., l2_rate=0.) - relu = paddle.activation.Relu() - linear = paddle.activation.Linear() - - data = paddle.layer.data( - "word", paddle.data_type.integer_value_sequence(input_dim)) - emb = paddle.layer.embedding(input=data, size=emb_dim) - - fc1 = paddle.layer.fc(input=emb, - size=hid_dim, - act=linear, - bias_attr=bias_attr) - lstm1 = paddle.layer.lstmemory( - input=fc1, act=relu, bias_attr=bias_attr, layer_attr=layer_attr) - - inputs = [fc1, lstm1] - for i in range(2, stacked_num + 1): - fc = paddle.layer.fc(input=inputs, - size=hid_dim, - act=linear, - param_attr=para_attr, - bias_attr=bias_attr) - lstm = paddle.layer.lstmemory( - input=fc, - reverse=(i % 2) == 0, - act=relu, - bias_attr=bias_attr, - layer_attr=layer_attr) - inputs = [fc, lstm] - - fc_last = paddle.layer.pooling( - input=inputs[0], pooling_type=paddle.pooling.Max()) - lstm_last = paddle.layer.pooling( - input=inputs[1], pooling_type=paddle.pooling.Max()) - output = paddle.layer.fc(input=[fc_last, lstm_last], - size=class_dim, - act=paddle.activation.Softmax(), - bias_attr=bias_attr, - param_attr=para_attr) - - lbl = paddle.layer.data("label", paddle.data_type.integer_value(2)) - cost = paddle.layer.classification_cost(input=output, label=lbl) - return cost - - -def main(): - # init - paddle.init() - #data - print 'load dictionary...' - word_dict = paddle.dataset.imdb.word_dict() - dict_dim = len(word_dict) - class_dim = 2 - train_reader = paddle.batch( - paddle.reader.shuffle( - cluster_reader_recordio(TRAINER_ID, TRAINER_COUNT, "train"), - buf_size=1000), - batch_size=100) - test_reader = paddle.batch( - cluster_reader_recordio(TRAINER_ID, TRAINER_COUNT, "test"), - batch_size=100) - - feeding = {'word': 0, 'label': 1} - - # network config - # Please choose the way to build the network - # by uncommenting the corresponding line. - cost = convolution_net(dict_dim, class_dim=class_dim) - # cost = stacked_lstm_net(dict_dim, class_dim=class_dim, stacked_num=3) - - # create parameters - parameters = paddle.parameters.create(cost) - - # create optimizer - adam_optimizer = paddle.optimizer.Adam( - learning_rate=2e-3, - regularization=paddle.optimizer.L2Regularization(rate=8e-4), - model_average=paddle.optimizer.ModelAverage(average_window=0.5)) - - # End batch and end pass event handler - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "\nPass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - else: - sys.stdout.write('.') - sys.stdout.flush() - if isinstance(event, paddle.event.EndPass): - result = trainer.test(reader=test_reader, feeding=feeding) - print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics) - - # create trainer - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=adam_optimizer) - - trainer.train( - reader=train_reader, - event_handler=event_handler, - feeding=feeding, - num_passes=2) - - -if __name__ == '__main__': - usage = "python train.py [prepare|train]" - if len(sys.argv) != 2: - print usage - exit(1) - - if TRAINER_ID == -1 or TRAINER_COUNT == -1: - print "no cloud environ found, must run on cloud" - exit(1) - - if sys.argv[1] == "prepare": - prepare_dataset() - elif sys.argv[1] == "train": - main() diff --git a/demo/understand_sentiment/train_ft.py b/demo/understand_sentiment/train_ft.py deleted file mode 100644 index 87f1f2c9..00000000 --- a/demo/understand_sentiment/train_ft.py +++ /dev/null @@ -1,233 +0,0 @@ -# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import paddle.v2 as paddle -import paddle.v2.dataset.common as common -import os -import sys -import glob -import pickle - -# NOTE: must change this to your own username on paddlecloud. -USERNAME = "demo" -DC = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") -common.DATA_HOME = "/pfs/%s/home/%s" % (DC, USERNAME) -TRAIN_FILES_PATH = os.path.join(common.DATA_HOME, "imdb") -TEST_FILES_PATH = os.path.join(common.DATA_HOME, "imdb") - -TRAINER_ID = int(os.getenv("PADDLE_INIT_TRAINER_ID", "-1")) -TRAINER_COUNT = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS", "-1")) - - -def prepare_dataset(): - word_dict = paddle.dataset.imdb.word_dict() - # convert will also split the dataset by line-count - common.convert(TRAIN_FILES_PATH, - lambda: paddle.dataset.imdb.train(word_dict), 1000, "train") - common.convert(TEST_FILES_PATH, - lambda: paddle.dataset.imdb.test(word_dict), 1000, "test") - - -def cluster_reader_recordio(trainer_id, trainer_count, flag): - ''' - read from cloud dataset which is stored as recordio format - each trainer will read a subset of files of the whole dataset. - ''' - import recordio - - def reader(): - PATTERN_STR = "%s-*" % flag - FILES_PATTERN = os.path.join(TRAIN_FILES_PATH, PATTERN_STR) - file_list = glob.glob(FILES_PATTERN) - file_list.sort() - my_file_list = [] - # read files for current trainer_id - for idx, f in enumerate(file_list): - if idx % trainer_count == trainer_id: - my_file_list.append(f) - for f in my_file_list: - print "processing ", f - reader = recordio.reader(f) - record_raw = reader.read() - while record_raw: - yield pickle.loads(record_raw) - record_raw = reader.read() - reader.close() - - return reader - - -def convolution_net(input_dim, class_dim=2, emb_dim=128, hid_dim=128): - data = paddle.layer.data( - "word", paddle.data_type.integer_value_sequence(input_dim)) - emb = paddle.layer.embedding(input=data, size=emb_dim) - conv_3 = paddle.networks.sequence_conv_pool( - input=emb, context_len=3, hidden_size=hid_dim) - conv_4 = paddle.networks.sequence_conv_pool( - input=emb, context_len=4, hidden_size=hid_dim) - output = paddle.layer.fc(input=[conv_3, conv_4], - size=class_dim, - act=paddle.activation.Softmax()) - lbl = paddle.layer.data("label", paddle.data_type.integer_value(2)) - cost = paddle.layer.classification_cost(input=output, label=lbl) - return cost - - -def stacked_lstm_net(input_dim, - class_dim=2, - emb_dim=128, - hid_dim=512, - stacked_num=3): - """ - A Wrapper for sentiment classification task. - This network uses bi-directional recurrent network, - consisting three LSTM layers. This configure is referred to - the paper as following url, but use fewer layrs. - http://www.aclweb.org/anthology/P15-1109 - - input_dim: here is word dictionary dimension. - class_dim: number of categories. - emb_dim: dimension of word embedding. - hid_dim: dimension of hidden layer. - stacked_num: number of stacked lstm-hidden layer. - """ - assert stacked_num % 2 == 1 - - layer_attr = paddle.attr.Extra(drop_rate=0.5) - fc_para_attr = paddle.attr.Param(learning_rate=1e-3) - lstm_para_attr = paddle.attr.Param(initial_std=0., learning_rate=1.) - para_attr = [fc_para_attr, lstm_para_attr] - bias_attr = paddle.attr.Param(initial_std=0., l2_rate=0.) - relu = paddle.activation.Relu() - linear = paddle.activation.Linear() - - data = paddle.layer.data( - "word", paddle.data_type.integer_value_sequence(input_dim)) - emb = paddle.layer.embedding(input=data, size=emb_dim) - - fc1 = paddle.layer.fc(input=emb, - size=hid_dim, - act=linear, - bias_attr=bias_attr) - lstm1 = paddle.layer.lstmemory( - input=fc1, act=relu, bias_attr=bias_attr, layer_attr=layer_attr) - - inputs = [fc1, lstm1] - for i in range(2, stacked_num + 1): - fc = paddle.layer.fc(input=inputs, - size=hid_dim, - act=linear, - param_attr=para_attr, - bias_attr=bias_attr) - lstm = paddle.layer.lstmemory( - input=fc, - reverse=(i % 2) == 0, - act=relu, - bias_attr=bias_attr, - layer_attr=layer_attr) - inputs = [fc, lstm] - - fc_last = paddle.layer.pooling( - input=inputs[0], pooling_type=paddle.pooling.Max()) - lstm_last = paddle.layer.pooling( - input=inputs[1], pooling_type=paddle.pooling.Max()) - output = paddle.layer.fc(input=[fc_last, lstm_last], - size=class_dim, - act=paddle.activation.Softmax(), - bias_attr=bias_attr, - param_attr=para_attr) - - lbl = paddle.layer.data("label", paddle.data_type.integer_value(2)) - cost = paddle.layer.classification_cost(input=output, label=lbl) - return cost - - -def main(): - # init - paddle.init() - etcd_ip = os.getenv("ETCD_IP") - etcd_endpoint = "http://" + etcd_ip + ":" + "2379" - #data - print 'load dictionary...' - word_dict = paddle.dataset.imdb.word_dict() - dict_dim = len(word_dict) - class_dim = 2 - train_reader = paddle.batch( - paddle.reader.shuffle( - cluster_reader_recordio(TRAINER_ID, TRAINER_COUNT, "train"), - buf_size=1000), - batch_size=100) - test_reader = paddle.batch( - cluster_reader_recordio(TRAINER_ID, TRAINER_COUNT, "test"), - batch_size=100) - - feeding = {'word': 0, 'label': 1} - - # network config - # Please choose the way to build the network - # by uncommenting the corresponding line. - cost = convolution_net(dict_dim, class_dim=class_dim) - # cost = stacked_lstm_net(dict_dim, class_dim=class_dim, stacked_num=3) - - # create parameters - parameters = paddle.parameters.create(cost) - - # create optimizer - adam_optimizer = paddle.optimizer.Adam( - learning_rate=2e-3, - regularization=paddle.optimizer.L2Regularization(rate=8e-4), - model_average=paddle.optimizer.ModelAverage(average_window=0.5)) - - # End batch and end pass event handler - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "\nPass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - else: - sys.stdout.write('.') - sys.stdout.flush() - if isinstance(event, paddle.event.EndPass): - result = trainer.test(reader=test_reader, feeding=feeding) - print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics) - - # create trainer - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=adam_optimizer, - is_local=False, - pserver_spec=etcd_endpoint, - use_etcd=True) - - trainer.train( - reader=train_reader, - event_handler=event_handler, - feeding=feeding, - num_passes=2) - - -if __name__ == '__main__': - usage = "python train.py [prepare|train]" - if len(sys.argv) != 2: - print usage - exit(1) - - if TRAINER_ID == -1 or TRAINER_COUNT == -1: - print "no cloud environ found, must run on cloud" - exit(1) - - if sys.argv[1] == "prepare": - prepare_dataset() - elif sys.argv[1] == "train": - main() diff --git a/demo/word2vec/train.py b/demo/word2vec/train.py deleted file mode 100644 index eddd90ca..00000000 --- a/demo/word2vec/train.py +++ /dev/null @@ -1,163 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import math -import pickle -import glob -import os -import sys -import paddle.v2 as paddle -import paddle.v2.dataset.common as common - -embsize = 32 -hiddensize = 256 -N = 5 - -# NOTE: You need to generate and split dataset then put it under your cloud storage. -# then you can use different size of embedding. - -# NOTE: must change this to your own username on paddlecloud. -USERNAME = "your-username" -DC = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") -common.DATA_HOME = "/pfs/%s/home/%s" % (DC, USERNAME) -TRAIN_FILES_PATH = os.path.join(common.DATA_HOME, "imikolov", - "imikolov_train-*") -WORD_DICT_PATH = os.path.join(common.DATA_HOME, "imikolov/word_dict.pickle") - -TRAINER_ID = int(os.getenv("PADDLE_INIT_TRAINER_ID", "-1")) -TRAINER_COUNT = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS", "-1")) - - -def prepare_dataset(): - word_dict = paddle.dataset.imikolov.build_dict() - with open(WORD_DICT_PATH, "w") as fn: - pickle.dump(word_dict, fn) - # NOTE: convert should be done by other job. - - -def cluster_reader_recordio(trainer_id, trainer_count): - ''' - read from cloud dataset which is stored as recordio format - each trainer will read a subset of files of the whole dataset. - ''' - import recordio - - def reader(): - file_list = glob.glob(TRAIN_FILES_PATH) - file_list.sort() - my_file_list = [] - # read files for current trainer_id - for idx, f in enumerate(file_list): - if idx % trainer_count == trainer_id: - my_file_list.append(f) - for f in my_file_list: - print "processing ", f - reader = recordio.reader(f) - record_raw = reader.read() - while record_raw: - yield pickle.loads(record_raw) - record_raw = reader.read() - reader.close() - - return reader - - -def wordemb(inlayer): - wordemb = paddle.layer.table_projection( - input=inlayer, - size=embsize, - param_attr=paddle.attr.Param( - name="_proj", - initial_std=0.001, - learning_rate=1, - l2_rate=0, )) - return wordemb - - -def main(): - paddle.init(use_gpu=False, trainer_count=1) - # load dict from cloud file - with open(WORD_DICT_PATH) as fn: - word_dict = pickle.load(fn) - dict_size = len(word_dict) - firstword = paddle.layer.data( - name="firstw", type=paddle.data_type.integer_value(dict_size)) - secondword = paddle.layer.data( - name="secondw", type=paddle.data_type.integer_value(dict_size)) - thirdword = paddle.layer.data( - name="thirdw", type=paddle.data_type.integer_value(dict_size)) - fourthword = paddle.layer.data( - name="fourthw", type=paddle.data_type.integer_value(dict_size)) - nextword = paddle.layer.data( - name="fifthw", type=paddle.data_type.integer_value(dict_size)) - - Efirst = wordemb(firstword) - Esecond = wordemb(secondword) - Ethird = wordemb(thirdword) - Efourth = wordemb(fourthword) - - contextemb = paddle.layer.concat(input=[Efirst, Esecond, Ethird, Efourth]) - hidden1 = paddle.layer.fc(input=contextemb, - size=hiddensize, - act=paddle.activation.Sigmoid(), - layer_attr=paddle.attr.Extra(drop_rate=0.5), - bias_attr=paddle.attr.Param(learning_rate=2), - param_attr=paddle.attr.Param( - initial_std=1. / math.sqrt(embsize * 8), - learning_rate=1)) - predictword = paddle.layer.fc(input=hidden1, - size=dict_size, - bias_attr=paddle.attr.Param(learning_rate=2), - act=paddle.activation.Softmax()) - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - result = trainer.test( - paddle.batch( - # NOTE: if you're going to use cluster test files, - # prepare them on the storage first - paddle.dataset.imikolov.test(word_dict, N), - 32)) - print "Pass %d, Batch %d, Cost %f, %s, Testing metrics %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics, - result.metrics) - - cost = paddle.layer.classification_cost(input=predictword, label=nextword) - parameters = paddle.parameters.create(cost) - adam_optimizer = paddle.optimizer.Adam( - learning_rate=3e-3, - regularization=paddle.optimizer.L2Regularization(8e-4)) - trainer = paddle.trainer.SGD(cost, parameters, adam_optimizer) - - trainer.train( - paddle.batch(cluster_reader_recordio(TRAINER_ID, TRAINER_COUNT), 32), - num_passes=30, - event_handler=event_handler) - - -if __name__ == '__main__': - usage = "python train.py [prepare|train]" - if len(sys.argv) != 2: - print usage - exit(1) - - if TRAINER_ID == -1 or TRAINER_COUNT == -1: - print "no cloud environ found, must run on cloud" - exit(1) - - if sys.argv[1] == "prepare": - prepare_dataset() - elif sys.argv[1] == "train": - main() diff --git a/demo/word2vec/train_ft.py b/demo/word2vec/train_ft.py deleted file mode 100644 index 04d54490..00000000 --- a/demo/word2vec/train_ft.py +++ /dev/null @@ -1,145 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import math -import pickle -import glob -import os -import sys -import paddle.v2 as paddle -import paddle.v2.dataset.common as common -from paddle.reader.creator import cloud_reader - -embsize = 32 -hiddensize = 256 -N = 5 - -# NOTE: You need to generate and split dataset then put it under your cloud storage. -# then you can use different size of embedding. - -# NOTE: must change this to your own username on paddlecloud. -USERNAME = "your-username" -DC = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") -common.DATA_HOME = "/pfs/%s/home/%s" % (DC, USERNAME) -TRAIN_FILES_PATH = os.path.join(common.DATA_HOME, "imikolov", - "imikolov_train-*") -WORD_DICT_PATH = os.path.join(common.DATA_HOME, "imikolov/word_dict.pickle") - -TRAINER_ID = int(os.getenv("PADDLE_INIT_TRAINER_ID", "-1")) -TRAINER_COUNT = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS", "-1")) - -etcd_ip = os.getenv("ETCD_IP") -etcd_endpoint = "http://" + etcd_ip + ":" + "2379" -trainer_id = int(os.getenv("PADDLE_INIT_TRAINER_ID", "-1")) - - -def prepare_dataset(): - word_dict = paddle.dataset.imikolov.build_dict() - with open(WORD_DICT_PATH, "w") as fn: - pickle.dump(word_dict, fn) - # NOTE: convert should be done by other job. - - -def wordemb(inlayer): - wordemb = paddle.layer.table_projection( - input=inlayer, - size=embsize, - param_attr=paddle.attr.Param( - name="_proj", - initial_std=0.001, - learning_rate=1, - l2_rate=0, )) - return wordemb - - -def main(): - paddle.init(use_gpu=False, trainer_count=1) - # load dict from cloud file - with open(WORD_DICT_PATH) as fn: - word_dict = pickle.load(fn) - dict_size = len(word_dict) - firstword = paddle.layer.data( - name="firstw", type=paddle.data_type.integer_value(dict_size)) - secondword = paddle.layer.data( - name="secondw", type=paddle.data_type.integer_value(dict_size)) - thirdword = paddle.layer.data( - name="thirdw", type=paddle.data_type.integer_value(dict_size)) - fourthword = paddle.layer.data( - name="fourthw", type=paddle.data_type.integer_value(dict_size)) - nextword = paddle.layer.data( - name="fifthw", type=paddle.data_type.integer_value(dict_size)) - - Efirst = wordemb(firstword) - Esecond = wordemb(secondword) - Ethird = wordemb(thirdword) - Efourth = wordemb(fourthword) - - contextemb = paddle.layer.concat(input=[Efirst, Esecond, Ethird, Efourth]) - hidden1 = paddle.layer.fc(input=contextemb, - size=hiddensize, - act=paddle.activation.Sigmoid(), - layer_attr=paddle.attr.Extra(drop_rate=0.5), - bias_attr=paddle.attr.Param(learning_rate=2), - param_attr=paddle.attr.Param( - initial_std=1. / math.sqrt(embsize * 8), - learning_rate=1)) - predictword = paddle.layer.fc(input=hidden1, - size=dict_size, - bias_attr=paddle.attr.Param(learning_rate=2), - act=paddle.activation.Softmax()) - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - result = trainer.test( - paddle.batch( - # NOTE: if you're going to use cluster test files, - # prepare them on the storage first - paddle.dataset.imikolov.test(word_dict, N), - 32)) - print "Pass %d, Batch %d, Cost %f, %s, Testing metrics %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics, - result.metrics) - - cost = paddle.layer.classification_cost(input=predictword, label=nextword) - parameters = paddle.parameters.create(cost) - adam_optimizer = paddle.optimizer.Adam( - learning_rate=3e-3, - regularization=paddle.optimizer.L2Regularization(8e-4)) - trainer = paddle.trainer.SGD(cost, - parameters, - adam_optimizer, - is_local=False, - pserver_spec=etcd_endpoint, - use_etcd=True) - trainer.train( - paddle.batch(cloud_reader([TRAIN_FILES_PATH], etcd_endpoint), 32), - num_passes=30, - event_handler=event_handler) - - -if __name__ == '__main__': - usage = "python train.py [prepare|train]" - if len(sys.argv) != 2: - print usage - exit(1) - - if TRAINER_ID == -1 or TRAINER_COUNT == -1: - print "no cloud environ found, must run on cloud" - exit(1) - - if sys.argv[1] == "prepare": - prepare_dataset() - elif sys.argv[1] == "train": - main() diff --git a/doc/design/client_design.md b/doc/design/client_design.md deleted file mode 100644 index 08b2f7d9..00000000 --- a/doc/design/client_design.md +++ /dev/null @@ -1,260 +0,0 @@ -# Design Doc: PaddleCloud Client - -A Command Line Interface for PaddlePaddle Cloud - ---- - -# Goals: - -Developers using PaddlePadle Cloud can use this command-line client for the convenience of managing cloud Deep-Learning jobs, including: - -- Submitting a PaddlePaddle cluster training job -- List jobs that are currently running. -- List all job history that has been submitted. -- Fetch logs of the jobs. -- Download output(model data) of the completed job. -- View user's quota usages in their spaces. - -PaddleCloud Client is written in Go, which simplifies building for different platforms like MacOS/Linux/Windows. The client is a binary program named "paddlecloud". - -# Client Configurations - -Client configurations stores in a file: `~/.paddle/config` in the below `yaml` form: -```yaml -datacenters: -- name: datacenter1 - username: user1 - password: secret - usercert: /path/to/user.pem - userkey: /path/to/user-key.pem - endpoint: http://cloud.paddlepaddle.org -- name: datacenter2 - username: user1 - password: secret - endpoint: http://cloud2.paddlepaddle.org -current-datacenter: datacenter1 -``` - -***NOTICE:*** The ***first*** "active" configuration part will be used. - -# Client commands - -## PaddleCloud Server command-line design -You can use the following syntax to run `pcloud` command-line interface tool from your terminal window: -`pcloud [sub-command] [name] [flags]` - -- Sub-Command - - `submit `: submit a PaddleCloud Job with the specify job name. - - `jobs [-v ]`: list all jobs for the current user, `-v` show the - specify job information with verbose output. - - `pods [-v ]`: list all pods for the current user, `-v` show the - specity worker information with verbose output. - - `quota`: the quota info for the current user. - - `kill `: kill a job with the specify job name. - - `logs `: output logs for the specify pod name . - -## PaddleCloud File System command-line design -PaddleCloud File System(PFS) command-line interface allows user to operate the file system on PaddleCloud, the syntax is as following: -`pcloud pfs [ls|put|get|rm...] [path1|path2...]` - -- `ls `: list all folders and files under the cloud path. -- `put [src1|src2...] `: upload the specify local folders or files to the cloud path. -- `get [src1|src2...] `: download the specify folers or files from the cloud path. -- `rm [dest1|dest2...]`: remove the specify folders or files on cloud, we can remove multiple folders or files in one line. -- `mv `: move the specify folder or a file from `` -to ``, `` and `` should be a cloud path. - -## Reference -- `paddlecloud submit [options] `: submit job to PaddlePaddle Cloud - - ``: ***Required*** Job package to submit. Including user training program and it's dependencies. - - `-parallelism`: Number of parallel trainers. Defaults to 1. - - `-cpu`: CPU resource each trainer will use. Defaults to 1. - - `-gpu`: GPU resource each trainer will use. Defaults to 0. - - `-memory`: Memory resource each trainer will use. Defaults to 1Gi. Memory ammounts consists a plain integer using one of these suffixes: Ei, Pi, Ti, Gi, Mi, Ki - - `-pservers`: Number of parameter servers. Defaults equal to `-p` - - `-pscpu`: Parameter server CPU resource. Defaults to 1. - - `-psmemory`: Parameter server memory resource. Defaults to 1Gi. - - `-entry`: Command of starting trainer process. Defaults to `paddle train` - - `-topology`: ***Will Be Deprecated*** `.py` file contains paddle v1 job configs -- `paddlecloud kill [-rm] `: Stop the job. `-rm` will remove the job from history. -- `paddlecloud get [options] `: Print resources - - `jobs`: List jobs. List only running jobs if no `-a` specified. - - `workers`: List detailed job worker nodes. - - `quota`: Print quota usages - - `-a`: List all resources. -- `paddlecloud logs [-n lines] `: Print logs of the job. -- `paddlecloud pfs ...`: PaddlePaddle Cloud data management. - `` is the path on the cloud. The form must be like `/pfs/$DATACENTER/home/$USER`. `$DATACENTER` is the from configuration where you setup at `~/.paddle/config` - - `paddlecloud pfs cp [ ... ] `: Upload a file - - `paddlecloud pfs cp [ ... ] `: Download a file - - `paddlecloud pfs ls `: List files under ``. - - `paddlecloud pfs rm ...`: Delete remote files - -## Examples - -A Sample job package may contain files like below: - -``` -job_word_emb/ - |-- train.py - |-- dict1.pickle - |-- dict2.pickle - |-- my_topo.py -data/ - |-- train/ - | |-- train.txt-00000 - | |-- train.txt-00001 - | ... - `-- test/ - |-- test.txt-00000 - |-- test.txt-00001 - ... -``` - -Run the following command to submit the job to the cloud: - -```bash -# upload training data to cloud, which may be very large -$ paddlecloud pfs cp -r ./job_word_emb/data /pfs/datacenter1/home/user1/job_word_emb -# submit a v1 paddle training job -$ paddlecloud submit ./job_word_emb -p 4 -c 2 -m 10Gi -t modules/train.py -Collecting package ... Done -Uploading package ... Done -Starting kuberntes job ... Done -# list running jobs -$ paddlecloud jobs -NAMESPACE NAME DESIRED SUCCESSFUL AGE -user1-gmail-com paddle-job-trainer-x63f 3 0 15s -# get job logs -$ paddlecloud logs -running pod list: [('Running', '10.1.9.3'), ('Running', '10.1.32.9'), ('Running', '10.1.18.7')] -I0515 05:44:19.106667 21 Util.cpp:166] commandline: --ports_num_for_sparse=1 --use_gpu=False --trainer_id=0 --pservers=10.1.9.3,10.1.32.9,10.1.18.7 --trainer_count=1 --num_gradient_servers=1 --ports_num=1 --port=7164 -[INFO 2017-05-15 05:44:19,123 networks.py:1482] The input order is [firstw, secondw, thirdw, fourthw, fifthw] -[INFO 2017-05-15 05:44:19,123 networks.py:1488] The output order is [__classification_cost_0__] -[INFO 2017-05-15 05:44:19,126 networks.py:1482] The input order is [firstw, secondw, thirdw, fourthw, fifthw] -[INFO 2017-05-15 05:44:19,126 networks.py:1488] The output order is [__classification_cost_0__] -I0515 05:44:19.131026 21 GradientMachine.cpp:85] Initing parameters.. -I0515 05:44:19.161273 21 GradientMachine.cpp:92] Init parameters done. -I0515 05:44:19.161551 41 ParameterClient2.cpp:114] pserver 0 10.1.9.3:7165 -I0515 05:44:19.161573 21 ParameterClient2.cpp:114] pserver 0 10.1.9.3:7164 -I0515 05:44:19.161813 21 ParameterClient2.cpp:114] pserver 1 10.1.32.9:7164 -I0515 05:44:19.161854 41 ParameterClient2.cpp:114] pserver 1 10.1.32.9:7165 -I0515 05:44:19.162405 21 ParameterClient2.cpp:114] pserver 2 10.1.18.7:7164 -I0515 05:44:19.162410 41 ParameterClient2.cpp:114] pserver 2 10.1.18.7:7165 -I0515 05:44:21.187485 48 ParameterClient2.cpp:114] pserver 0 10.1.9.3:7165 -I0515 05:44:21.187595 48 ParameterClient2.cpp:114] pserver 1 10.1.32.9:7165 -I0515 05:44:21.189729 48 ParameterClient2.cpp:114] pserver 2 10.1.18.7:7165 -I0515 05:44:21.242624 49 ParameterClient2.cpp:114] pserver 0 10.1.9.3:7164 -I0515 05:44:21.242717 49 ParameterClient2.cpp:114] pserver 1 10.1.32.9:7164 -I0515 05:44:21.243191 49 ParameterClient2.cpp:114] pserver 2 10.1.18.7:7164 -$ paddlecloud pfs cp /pfs/datacenter1/home/user1/job_word_emb/output ./output -Downloading /pfs/datacenter1/home/user1/job_word_emb/output ... Done -``` - -# API Definition - -PaddleCloud Client calls a remote "RESTful server" to accomplish the goals. This "RESTful server" is deployed in the cloud and serves all client calls for all users. - -We have multiple API versions, currently, it is "v1" and "v2". "v1" stands for submitting a paddle job which is written with paddle v1 API. All endpoints start with the version path, like "/v1/submit" - -We define the APIs below: - -| Endpoint | method | arguments | -| -------- | ------ | --------- | -| /api/v1/jobs | POST | see [Submit Job](#submit-job) | -| /api/v1/jobs | GET | see [Get Jobs](#get-jobs) | -| /api/v1/jobs | DELETE | see [Delete Jobs](#delete-job) -| /api/v1/quota | GET | see [above](#client-commands) | -| /api/v1/pfs/* | - | see [here](https://github.com/gongweibao/Paddle/blob/filemanager2/doc/design/file_manager/README.md#pfsserver) | - -## Submit Job -- HTTP Request - -`POST /api/v1/jobs` - -- Body Parameters -```json -{ - "name": "paddle-job", - "jobPackage": "/pfs/datacenter1/home/user1/job_word_emb", - "parallelism": 3, - "cpu": 1, - "gpu": 1, - "memory": "1Gi", - "pservers": 3, - "pscpu": 1, - "psmemory": "1Gi", - "topology": "train.py", - "datacenter": "datacenter1" -} -``` - -- HTTP Response -```json -{ - "code":200, - "msg":"OK" -} -``` - -## Get Jobs -- HTTP Request - -`GET /api/v1/jobs` - -- HTTP Response - -```json -"code":200, -"msg":[ - { - "name": "paddle-job-b82x", - "jobPackage": "/pfs/datacenter1/home/user1/job_word_emb", - "parallelism": 3, - "cpu": 1, - "gpu": 1, - "memory": "1Gi", - "pservers": 3, - "pscpu": 1, - "psmemory": "1Gi", - "topology": "train.py", - "status": { - "active": 0, - "completionTime": "2017-05-15 13:33:23", - "succeeded": 3, - "startTime": "2017-05-15 12:33:53" - } - }, - { - "name": "paddle-yx-02c2", - "jobPackage": "/pfs/datacenter1/home/user2/job_word_emb", - "parallelism": 3, - "cpu": 1, - "gpu": 1, - "memory": "1Gi", - "pservers": 3, - "pscpu": 1, - "psmemory": "1Gi", - "topology": "train.py", - "status": { - "active":1, - "failed": 1, - "startTime": "2017-05-15 18:30:02" - } - } -] -``` - -## Delete Job -- HTTP Request - -`DELETE /api/v1/jobs/{name}` - -- HTTP Response - -```json -{ - "code":200, - "msg":"OK" -} -``` \ No newline at end of file diff --git a/doc/design/paddlecloud.graffle b/doc/design/paddlecloud.graffle deleted file mode 100644 index b6d70cd4..00000000 Binary files a/doc/design/paddlecloud.graffle and /dev/null differ diff --git a/doc/design/paddlecloud.png b/doc/design/paddlecloud.png deleted file mode 100644 index 310ed30c..00000000 Binary files a/doc/design/paddlecloud.png and /dev/null differ diff --git a/doc/design/scheduler.md b/doc/design/scheduler.md deleted file mode 100644 index 5a1285e5..00000000 --- a/doc/design/scheduler.md +++ /dev/null @@ -1,177 +0,0 @@ -# Scheduler for TrainingJob - -## Background - -We are going to define PaddlePaddle cluster job as a Kubernetes -[TPR](https://kubernetes.io/docs/tasks/access-kubernetes-api/extend-api-third-party-resource/) or -[CRD](https://kubernetes.io/docs/concepts/api-extension/custom-resources/). -Each job is described using a `yaml` representation called -[TrainingJob](../autoscale/README.md). When a `TrainingJob` resource is -submitted to Kubernetes cluster, our customized `controller` program will -receive an event informing the resource creation/deletion. - -The `controller` program should contain the following core functions: - -- Parser to parse `TrainingJob` resource to corresponding job components, - including: - - `ReplicaSet` of master process - - `ReplicaSet` or `StatefulSet` for etcd cluster - - `ReplicaSet` of `pserver` process - - `Job` of `trainer` process -- Queue to sort `TrainingJob` resource for schedule -- Scheduler to determine which job to run or to scale by: - - Job static priority - - Job resource request (GPU > CPU > Memory) - - Job total running time of every pod - - Cluster free resource -- Autoscaler to dynamically tunning job resources. - -Cases that need to be considered during the implementation: - -1. GPU is much more expensive than CPUs, jobs require GPU resource should -have higher priority to run on GPU machines than CPU only jobs. Also a -`TrainingJob` requires GPU must require enough CPU resource for it so that -CPU used for launch CUDA kernels and memory copies is not blocking the -performance of GPU accelerated training jobs. -1. Jobs have priorities. Some offline jobs have the higher priority that can be -able to acquire enough resource so that the job can complete at the desired time, -then job result can be updated to the production service. Other jobs like an experiment and one-shot jobs have lower priority, they can be scaled up when the cluster is free and can be scaled down when the cluster is busy. -1. Otherwise, jobs should share the cluster resource fairly, which means, if -a job is waiting enough long, it can finally be scheduled to the cluster, no -matter it may have very low priority (except that the cluster is full of -production service). -1. A cluster may run both online service and offline batch jobs. The online -services have high priority and are not interruptible. But `TrainingJobs` can -re-use the cluster resource when the online service came to the certain time of -day that is not that active. -1. About quota, users quota should be considered so that scheduled job is not -exceeding it. - -## Scheduler design - -Here we define the core scheduler interfaces and algorithms. - -### Interface - -Scheduler deals with atomic scheduling unit named `Unit`. The `TraniningJob` -resource is the member of `Unit`, we can get it by calling `unit.Obj()`. - -```go -type PrioLevel int - -const ( - Experiement PrioLevel = 10 - Offline = 100 - Normal = 1000 - Production = 10000 -) - -type Unit interface { - // GetPrio returns the current priority level. - GetPrio() PrioLevel - // SetPrio set the unit priority level directly. - SetPrio(prio PrioLevel) - - // MaxInstances returns the desired max parallelism of the job. - MaxInstances() int - // MinInstances returns the minimal parallelism the job can be running. - MinInstances() int - // ResourceScore returns resource score of a single pod. It's - // caculated by sum(weight*ResourceValue). - ResourceScore() int64 - - // Expected returns expected parallelism (how much pods) to run for - // current scheduling step. - ExpectedCount() int64 - // Running returns the current parrallelism of the unit. - // If Running == 0 means the job is waiting for resources. - RunningCount() int64 - - // Obj returns inner scheduling unit. - Obj() interface{} -} -``` - -Currently, we only support 4 levels of priority. Note that the priority is not -continuous, so that we can extend more levels later. - -Then we define the scheduler interface: - -```go -type GpuPriorityCFS interface { - // AddUnit insert a new Unit object to the scheduler. - AddUnit(unit *Unit) error - // DelUnit remove the completed unit from scheduler. - DelUnit(unit *Unit) error - // GetLeftMost return the smallest valued unit in the scheduler's tree. - GetLeftMost() *Unit - // GetRightMost return the maximum valued unit in the scheduler's tree. - GetRightMost() *Unit - // Len return number of units in the scheduler. - Len() int - - // Traverse go thought every unit in the scheduler. - Tranverse(callback ...func(*Unit)) error -} -``` - -### Scheduling algorithm - -We use an implementation similar to -[CFS](https://en.wikipedia.org/wiki/Completely_Fair_Scheduler) as the -default scheduler for `TrainingJobs`. Other jobs or services submitted using -`kubectl` will not be controlled by this scheduler, but the resource -consumption will be considered. - -Scheduler stores all units in a red-black tree, sorted by score -`GetPrio() * ResourceScore() * sum(RunningCount() * pod.RunningTime())` -(weighted total running time). In order to make the jobs -"fair", `Unit`'s `ExpectedCount()` is calculated traversing every unit by order, -and increase/decrease one by one in each "dry run", try to make the score -even across cluster: - -1. The left most child is selected. This is the job that spent least running -time on the cluster. -2. If the job is not running yet (newly submitted job), try to increase job -parallelism to the initial parallelism value. If the resource is sufficient, -parse the `TrainingJob` and create the job instance, if the resource is not -sufficient, go to step 1. -3. If the job is already running try to scale it up by 1 to use more free -resources. -4. If the job has completed, stop the pserver and master, then remove it from -the tree. -5. Go to step 1 to run another step until all the units are traversed. -6. Accumulate the diff for each unit. -7. If above steps get no diff for every job, then use the same strategy to scale -down some jobs to achieve fairness, call `GetRightMost()` to get right most -unit, and try scale down jobs if the score is far away from even. - -- NOTE: we should make scale up/down operations less frequently, because -cluster job is not like processes, frequent interruptting may cause significant -job performance issue. - -### Queues - -We **don't** put jobs into several queues, like "RUNNING", "TODO", "DONE". Only -**one** queue is used for indexing jobs. Jobs that have not started, consumes -no resource. - -### Scheduling Intervals And Freezing Window - -Scheduling operations are triggered: - -- Every 5 seconds -- Or by controller event: adding, updating, deleting Of `TrainingJob` - -Speaking of "fair", if we do scaling operations very fast, every jobs' trainer -the count will be constantly in flux, and that's what we don't want. We introduce -configurable `FreezingWindow` for every `TrainingJob`, in that time window, -the job should not take any scaling operations to minimize the cost introduced -by scaling the job. - -## References - -- https://en.wikipedia.org/wiki/Completely_Fair_Scheduler -- https://kubernetes.io/docs/tasks/access-kubernetes-api/extend-api-third-party-resource/#what-is-thirdpartyresource -- https://kubernetes.io/docs/tasks/access-kubernetes-api/extend-api-custom-resource-definitions/ -- https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/ \ No newline at end of file diff --git a/doc/edl/README.md b/doc/edl/README.md deleted file mode 100644 index 6d33f51b..00000000 --- a/doc/edl/README.md +++ /dev/null @@ -1,385 +0,0 @@ -# Design Doc: Elastic Deep Learning - -## Background - -A PaddlePaddle training job contains several trainer instances, -several parameter server instances, and one master instance. -We would like to manage the lifecycle (create, delete and update) of each PaddlePaddle training job in the cluster and atomically scale them to fully utilize the cluster's -computation resources. We call this Elastic Deep Learning (or EDL for short). - -[Horizontal Pod Autoscaling (HPA)](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/) is -an autoscaling solution provided by Kubernetes, but it's not suitable -for the training job autoscaling for the following reasons: - -- HPA dosn't manage heterogeneous set of Pods lifecycle and status - change, we need a controller for this. -- The goal of autoscaling is to fairly distribute the computation - resources to different training jobs in a way that optimizes the - computation resource utilization of the **entire** cluster. The HPA - is trying to improve the quality of service of a **single** - service. The training job autoscaling requires the controller to - have a global view of all the available computation resources and - all the training jobs, but HPA does not have the global view. -- HPA is designed to automatically scale a homogeneous set of Pods, - but we need to scale a heterogeneous set of Pods (the trainer Pods - and the parameter server Pods): because the required number of - parameter servers is correlated to the required number of trainers, - we need to scale them together. - -We need to develop our own solution for autoscaling. - -Kubrenetes provide [CustomResourceDefinition (CRD)](https://kubernetes.io/docs/concepts/api-extension/custom-resources/#custom-resources)and [custom controller](https://kubernetes.io/docs/concepts/api-extension/custom-resources/#custom-controllers) -we can use these feature to develop EDL controller, so it can flexibly run in our -cluster and does not require modifying the Kubernetes source code. - -## Solution - -1. Defination of PaddlePaddle `TrainingJob` using CRD, it should contain: - 1. One `ReplicaSet` of a single master process - 1. One `ReplicaSet` of several parameter server process - 1. One `Job` of several trainer process -1. A controller that manages the `TrainingJob`'s: - 1. Creation, deletion and update - 1. Keep `TrainingJob` status synchronized with it's components - 1. Periodically scale job resources in cluster - -### TrainingJob CRD - -Just like -[Deployment](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/) is -a resource that describes a deployment. We will have a training -job -[Custom Resource](https://kubernetes.io/docs/concepts/api-extension/custom-resources/) that -describes the training job. - -A pseudo resource declaration (`training_job.yaml`) is as follows: - -```yaml -apiVersion: paddlepaddle.org/v1 -kind: TrainingJob -metadata: - name: paddlejob - namespace: testspace -spec: - image: "paddlepaddle/paddlecloud-job" - port: 7164 - ports_num: 1 - ports_num_for_sparse: 1 - fault_tolerant: false - mountPath: "/home/work/namespace/" - master: - resources: - limits: - cpu: "800m" - memory: "1Gi" - requests: - cpu: "500m" - memory: "600Mi" - pserver: - resources: - limits: - cpu: "800m" - memory: "1Gi" - requests: - cpu: "500m" - memory: "600Mi" - trainer: - entrypoint: "python train.py" - workspace: "/home/job-1/" - passes: 10 - min-instance: 2 - max-instance: 6 - resources: - limits: - cpu: "200m" - memory: "200Mi" - requests: - cpu: "200m" - memory: "200Mi" -``` - -In the above example, EDL will create a PaddlePaddle cluster job with one master, -2 pservers, 2 trainers, and keep the status synchronized. Then the controller will -try to scale up/down `TraningJobs` in cluster if needed to maximize the cluster -utility. You can create the `TrainingJob` using `kubectl create -f training_job.yaml`. - -Currently, we will only support trainer autoscaling. Parameter server autoscaling -will be supported in the near future. This design doc considers both of them. - -NOTE: You can omit the master spec if you want to start a non-scalable job. - -### TrainingJobUpdater - -To keep the `TrainingJob` status synchronized with actual Kubernetes `ReplicaSet`s -and `Job`s, We need an object named `TrainingJobUpdater` to manage each -`TrainingJob`. - -Each `TrainingJobUpdater` need to be informed by events generated by Kubernetes -`ReplicaSet`, `Job` and `Pod`. For example, when the `TrainingJob` is scaling up, -some of the Pods may in status `Restarting`, so we should update the `TrainingJob` -status to "Scaling up". - -```go -type trainingJobEventType string - -const ( - trainingJobEventDelete trainingJobEventType = "Delete" - trainingJobEventModify trainingJobEventType = "Modify" -) - -type trainingJobEvent struct { - pet trainingJobEventType - job *v1.TrainingJob -} - -type TrainingJobUpdater struct { - job *v1.TrainingJob - kubeCli kubernetes.Interface - trainingJobClient trainingJobClient.Interface - status v1.TrainingJobStatus - eventCh chan *trainingJobEvent -} -``` - -When user submit a TrainingJob, the controller will start a TrainingJobUpdater to manage the TrainingJob. - - Parse `TrainingJob` to corresponding pserver, master `ReplicaSet` - and trainer `Job`. - - Create pserver, master and trainer. - - Keep the status synchronized. - - Stop master and pserver processes when job is finished or failed. - -### Controller - -The controller manages PaddlePaddle `TrainingJob`s by creating a series of -`TrainingJobUpdater` instances. The controller defination follows: - -```go -type Controller struct { - KubeCli kubernetes.Interface - ApiCli apiextensionsclient.Interface - PaddleCli paddleclientset.Interface - trainingjobLister paddlelisters.TrainingJobLister - trainingjobSynced cache.InformerSynced - jobtracker map[string]*updater.TrainingJobUpdater - - workqueue workqueue.RateLimitingInterface - recorder record.EventRecorder -} -``` - -- Register `TrainingJob` CRD if it's not registered yet. -- Create a `TrainingJobUpdater` instance for each `TrainingJob`. - -The controller will runs as a Pod. It has the global view of -the computation resources. It watches the training job resources and -schedules and scales the training jobs using the Kuberenetes API. - -The pseudo controller declaration (`autoscale_controller.yaml`) is -as follows: - -```yaml -apiVersion: extensions/v1beta1 -kind: Deployment -metadata: - name: autoscale-controller -spec: - replicas: 1 - template: - metadata: - labels: - name: autoscale-controller - spec: - containers: - - name: autoscale-controller - image: paddlepaddle/training-job-controller -``` - -The training job controller can be started by the cluster -administrator with command: `kubectl create -f autoscale_controller.yaml` - -You can use `go/cmd/autoscaler/Dockerfile` to build a new controller image -or download an existing one. - -Currently, `Autoscaler` is not a k8s controller actually, we will merge it to controller in a near feature. - -## Implementation - -### TrainingJob CRD - -The training job resource is a custom resource. There are two ways of implementing custom resources: - -- [Custom Resource Definition (CRD)](https://kubernetes.io/docs/tasks/access-kubernetes-api/extend-api-custom-resource-definitions/), since Kubernetes v1.7. -- [Third Party Resource (TPR)](https://kubernetes.io/docs/tasks/access-kubernetes-api/extend-api-third-party-resource/), since Kubernetes v1.2, fully deprecated in v1.8, will be removed in v1.9. - -We will support TPR first, because some of our clusters is using Kubernetes v1.6. - -In the near feature, we will use CRD to replace TPR to define our training job resource, -then the resource defined under `go/edl/resource` will be deprecated. -If you want to use TPR in Kubernetes with version <= 1.7, -please checkout the `unreleased-tpr` tag. - -Currently, implementation using CRD is still under development, -you can use the following command to verify and generate dependent codes: -``` -# check freshness of generated codes -$ scripts/verify-codegen.sh - -# update dependent codes -$ scripts/update-codegen.sh -``` -For more details, please refer to [article](https://blog.openshift.com/kubernetes-deep-dive-code-generation-customresources/). -When the definition of resource is stable, we will commit generated dependent codes. -Just skip `go/apis` when running `go test` during your development. - -By the way, if you want to generate these codes by yourself, due to this [issue](https://github.com/kubernetes/code-generator/issues/20), -you have to deal with the import problem. - -### Controller -#### Lifecycle Overall - -The whole lifecycle of `TrainingJob` is managed by controller and `TrainingJobUpdater`: - -![](pictures/lifecycle_overall.jpg) - -When the job is submitted, `Controller` will create a `TrainingJobUpdater` -and start to handle Kubernetes events. `TrainingJobUpdater` will start -a goroutine sync the state of the `Trainingjob`. When the state is changed -to `failed` or `succeeded`, resources of pservers and master will -be released. When the job is killed by user, resources of pservers and master -will also be released. - -#### State Machine - -The struct of `TrainingJob` Status as follows. - -```go -type TrainingJobStatus struct { - // Phase is phase of TrainingJob - Phase TrainingJobPhase `json:"phase"` - // Reason is the reason of job phase failed - Reason string `json:"reason"` - // ScaleStatus is autoscale status of trainer jobs - ScaleStatus TrainerJobScaleStatus `json:"scale_status"` - // ReplicaStatuses is detail status of resources - ReplicaStatuses []*TrainingResourceStatus `json:"replica_statuses"` -} -``` - -We define the following `TrainingJob` phases: - -- TrainingJobPhaseNone: `""` -- TrainingJobPhaseCreating: `creating` -- TrainingJobPhaseRunning: `running` -- TrainingJobPhaseScaling: `scaling` -- TrainingJobPhaseSucceeded: `succeeded` -- TrainingJobPhaseFailed: `failed` - -The state change follows the below graph: - -![](pictures/state_machine.jpg) - -When the job is submitted, controller will start a Updater and the state of the -job is set to `none`. When the job config is valid and through parser, the state will -be set to `creating`. When all the resources are submitted successfully, -the state will be set to `running`. When all trainer are finished -the state be set to `succeeded`. Otherwise, the state will be set to `failed`. - -### Autoscaler - -Currently, we will run a single training job controller instance and -assume that there is no training job controller running concurrently -(the assumption could be false -when -[split-brain](https://en.wikipedia.org/wiki/Split-brain_(computing)) -happens). In the future, we will run multiple instances and use leader -election to choose a leader. - -The pseudo-logic is as follows: - -```go -registerThirdPartyResource() -for { - quota := getTotalComputationResourceQuota() - current := getCurrentJobStates() - desired := getDesiredJobStates() - dynamicScaling(quota, current, desired) -} -``` - -#### Scaling Algorithm - -##### Elastic Job - -A job is elastic only when it's trainer and pserver's `min-instance` -equals to the `max-instance` respectively. We will only scale elastic -jobs. - -Currently, we will not scale the parameter server instances. - -##### Fulfillment Score - -When there are available computation resources, the algorithm needs to -decide which jobs to assign the resources to. When there are no more -available computation resources but the newly submitted job needs it, -the algorithm needs to decide which job to take the resource away -from. We will introduce the *fulfillment score* to answer these -questions: - -```go -func (j Job) Score() float64 { - minInstance := j.spec.trainer.minInstance - maxInstance := j.spec.trainer.maxInstance - curInstance := j.trainer.currentInstance() - return float64(curInstance - minInstance) / float64(maxInstance - minInstance) -} -``` - -##### Scaling GPU Jobs - -The controller knows the total number of available GPUs in a cluster -and will try to assign all of them to the training jobs. - -All elastic GPU jobs will be sorted according to their fulfillment -score. The number of GPU per instance, CPU requests value, Mem -requests value will be used as tiebreakers in decreasing importance. - -An available GPU resource will be assigned to the least fulfilled job -unless that job is already fulfilled (with a fulfillment score of -`1.0`). A GPU resource will be taken away from the most fulfilled job -when there is another GPU job's `min-instance` is not satisfied -(unless the most fulfilled job's `cur-instance` equals to -`min-instance`). When the most fulfilled job's `cur-instance` equals -to `min-instance`, no training job will be scaled down, the new job -cannot be scheduled and will wait for more resources. - - -##### Scaling CPU Jobs - -The controller knows the total CPU capacity, Mem capacity of the -cluster, and the total CPU limits, Mem limits of all training jobs. We -define the available CPU and Mem as the difference of the capacity and -the -[limits](https://kubernetes.io/docs/concepts/policy/resource-quotas/#requests-vs-limits) (not -the -[requests](https://kubernetes.io/docs/concepts/policy/resource-quotas/#requests-vs-limits)) -respectively. - -All elastic CPU jobs will be sorted according to their fulfillment -score. The CPU requests value, Mem requests value will be used as -tiebreakers in decreasing importance. - -The available CPU and Mem resource will be assigned to the least -fulfilled job unless that job is already fulfilled (with a fulfillment -score of `1.0`). The CPU and Mem resource will be taken away from the -most fulfilled job when there is another job's `min-instance` is not -satisfied (unless the most fulfilled job's `cur-instance` equals to -`min-instance`). When the most fulfilled job's `cur-instance` equals -to `min-instance`, no training job will be scaled down, but the job -will still be scheduled optimistically. - -## References - -- [Writing a custom controller: Extending the functionality of your cluster](https://resources.coreos.com/youtube-coreos-fest-2017/writing-a-custom-controller-extending-the-functionality-of-your-cluster) -- [Introducing Operators: Putting Operational Knowledge into Software](https://coreos.com/blog/introducing-operators.html) -- [TPR Is Dead! Kubernetes 1.7 Turns to CRD](https://coreos.com/blog/custom-resource-kubernetes-v17) -- [Writing Controllers](https://github.com/kubernetes/community/blob/master/contributors/devel/controllers.md) diff --git a/doc/edl/example/autoscale.md b/doc/edl/example/autoscale.md deleted file mode 100644 index 6ac8e90a..00000000 --- a/doc/edl/example/autoscale.md +++ /dev/null @@ -1,53 +0,0 @@ -# Run Autoscaling job on your local machine - -This documentation shows an example to run two jobs on a local kubernetes cluster and see the job scaling status. - -## Prerequisites - -- [install minikube](https://kubernetes.io/docs/tasks/tools/install-minikube/) -- [install kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/) - -## Run local Autoscaling job - -1. Start a local minikube cluster. - - ```bash - minikube start --kubernetes-version v1.6.4 - ``` - -1. Run the following commands to create sample training workspace and -data. - - ```bash - mkdir /path/to/workspace - cp $REPO_PATH/doc/autoscale_example/*.py /path/to/workspace - mkdir -p /path/to/workspace/data/ - cp -r $REPO_PATH/doc/autoscale_example/uci_housing/ /path/to/workspace/data/ - ``` - -1. Mount the workspace folder into Minikube: - - ```bash - minikube mount /path/to/workspace:/workspace - ``` - - The `minikube mount` command will block, so start a new terminal to - continue the tutorial. - -1. Start controller and a example job: - - ```bash - cd $REPO_PATH/k8s/controller - kubectl create -f controller.yaml - kubectl create -f trainingjob_resource.yaml - kubectl create -f autoscale_job/ - kubectl get pods - ``` - -1. Start another job simulating cluster load, then you can observe the -scale process using `kubectl get pods`: - - ```bash - kubectl create -f autoscale_load/ - kubectl get pods - ``` diff --git a/doc/edl/example/convert.py b/doc/edl/example/convert.py deleted file mode 100644 index fa41341d..00000000 --- a/doc/edl/example/convert.py +++ /dev/null @@ -1,44 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import sys -import os -import errno -import recordio -import paddle.v2.dataset as ds - - -def mkdir_p(path): - try: - os.makedirs(path) - except OSError as exc: - if exc.errno == errno.EEXIST and os.path.isdir(path): - pass - else: - raise - - -def convert(output_path, name): - mod = __import__("paddle.v2.dataset." + name, fromlist=['']) - - path = os.path.join(output_path, name) - mkdir_p(path) - - mod.convert(path) - - -if __name__ == '__main__': - a = ['uci_housing'] - for m in a: - convert("./data", m) diff --git a/doc/edl/example/train_ft.py b/doc/edl/example/train_ft.py deleted file mode 100644 index c39edfa2..00000000 --- a/doc/edl/example/train_ft.py +++ /dev/null @@ -1,90 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import paddle.v2 as paddle -import os -import gzip -from paddle.v2.reader.creator import cloud_reader -import paddle.v2.dataset.uci_housing as uci_housing - -etcd_ip = os.getenv("ETCD_IP") -etcd_endpoint = "http://" + etcd_ip + ":" + "2379" -trainer_id = int(os.getenv("PADDLE_INIT_TRAINER_ID")) - - -def main(): - # init - paddle.init() - - # network config - x = paddle.layer.data(name='x', type=paddle.data_type.dense_vector(13)) - y_predict = paddle.layer.fc(input=x, - param_attr=paddle.attr.Param( - name='w', learning_rate=1e-3), - size=1, - act=paddle.activation.Linear(), - bias_attr=paddle.attr.Param( - name='b', learning_rate=1e-3)) - y = paddle.layer.data(name='y', type=paddle.data_type.dense_vector(1)) - cost = paddle.layer.square_error_cost(input=y_predict, label=y) - - # create parameters - parameters = paddle.parameters.create(cost) - - # create optimizer - optimizer = paddle.optimizer.Momentum(momentum=0, learning_rate=2e-4) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer, - is_local=False, - pserver_spec=etcd_endpoint, - use_etcd=True) - - feeding = {'x': 0, 'y': 1} - - # event_handler to print training and testing info - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f" % ( - event.pass_id, event.batch_id, event.cost) - - if isinstance(event, paddle.event.EndPass): - result = trainer.test( - reader=paddle.batch( - uci_housing.test(), batch_size=2), - feeding=feeding) - print "Test %d, Cost %f" % (event.pass_id, result.cost) - if trainer_id == "0": - with gzip.open("fit-a-line_pass_%05d.tar.gz" % event.pass_id, - "w") as f: - parameters.to_tar(f) - - # training - trainer.train( - reader=paddle.batch( - paddle.reader.shuffle( - cloud_reader( - ["/workspace/data/uci_housing/uci_housing_train-*"], - etcd_endpoint), - buf_size=500), - batch_size=2), - feeding=feeding, - event_handler=event_handler, - num_passes=30) - - -if __name__ == '__main__': - main() diff --git a/doc/edl/example/train_mnist_ft.py b/doc/edl/example/train_mnist_ft.py deleted file mode 100644 index 11ee2d93..00000000 --- a/doc/edl/example/train_mnist_ft.py +++ /dev/null @@ -1,145 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from PIL import Image -import numpy as np -import paddle.v2 as paddle -import paddle.v2.dataset.common as common -import paddle.v2.dataset.mnist as mnist -from paddle.v2.reader.creator import cloud_reader -import os -import sys -import glob -import pickle - -# NOTE: must change this to your own username on paddlecloud. -TRAIN_FILES_PATH = "/workspace/data/mnist/minist_train-*" -TEST_FILES_PATH = "/workspace/data/mnist/minist_test-*" - -etcd_ip = os.getenv("ETCD_IP") -etcd_endpoint = "http://" + etcd_ip + ":" + "2379" -trainer_id = int(os.getenv("PADDLE_INIT_TRAINER_ID", "-1")) - - -def softmax_regression(img): - predict = paddle.layer.fc(input=img, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def multilayer_perceptron(img): - # The first fully-connected layer - hidden1 = paddle.layer.fc(input=img, - size=128, - act=paddle.activation.Relu()) - # The second fully-connected layer and the according activation function - hidden2 = paddle.layer.fc(input=hidden1, - size=64, - act=paddle.activation.Relu()) - # The thrid fully-connected layer, note that the hidden size should be 10, - # which is the number of unique digits - predict = paddle.layer.fc(input=hidden2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def convolutional_neural_network(img): - # first conv layer - conv_pool_1 = paddle.networks.simple_img_conv_pool( - input=img, - filter_size=5, - num_filters=20, - num_channel=1, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # second conv layer - conv_pool_2 = paddle.networks.simple_img_conv_pool( - input=conv_pool_1, - filter_size=5, - num_filters=50, - num_channel=20, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # fully-connected layer - predict = paddle.layer.fc(input=conv_pool_2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def main(): - paddle.init() - - # define network topology - images = paddle.layer.data( - name='pixel', type=paddle.data_type.dense_vector(784)) - label = paddle.layer.data( - name='label', type=paddle.data_type.integer_value(10)) - - # Here we can build the prediction network in different ways. Please - # choose one by uncomment corresponding line. - # predict = softmax_regression(images) - # predict = multilayer_perceptron(images) - predict = convolutional_neural_network(images) - - cost = paddle.layer.classification_cost(input=predict, label=label) - - parameters = paddle.parameters.create(cost) - - optimizer = paddle.optimizer.Momentum( - learning_rate=0.1 / 128.0, - momentum=0.9, - regularization=paddle.optimizer.L2Regularization(rate=0.0005 * 128)) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer, - is_local=False, - pserver_spec=etcd_endpoint, - use_etcd=True) - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - if isinstance(event, paddle.event.EndPass): - result = trainer.test(reader=paddle.batch( - mnist.test(), batch_size=2)) - print "Test with Pass %d, Cost %f, %s\n" % ( - event.pass_id, result.cost, result.metrics) - - trainer.train( - reader=paddle.batch( - cloud_reader([TRAIN_FILES_PATH], etcd_endpoint), batch_size=128), - event_handler=event_handler, - num_passes=30) - - -if __name__ == '__main__': - usage = "python train.py [prepare|train]" - if len(sys.argv) != 2: - print usage - exit(1) - - if trainer_id == -1 or etcd_ip == "": - print "no cloud environ found, must run on cloud" - exit(1) - - if sys.argv[1] == "train": - main() diff --git a/doc/edl/experiment/.gitignore b/doc/edl/experiment/.gitignore deleted file mode 100644 index 8d4bfcfd..00000000 --- a/doc/edl/experiment/.gitignore +++ /dev/null @@ -1 +0,0 @@ -nohup.out diff --git a/doc/edl/experiment/README.md b/doc/edl/experiment/README.md deleted file mode 100644 index c9613a2b..00000000 --- a/doc/edl/experiment/README.md +++ /dev/null @@ -1,338 +0,0 @@ -# Auto-scaling Experiment - -## Purpose - -To verify the value of PaddlePaddle's auto-scaling mechanism. - -## Metrics - -1. Cluster computational resource utilization. - - Expecting higher resource utilization. - - Higher utilization means lesser resources are idle. Autoscaling is - intended to maximize the overall cluster resource(CPU, GPU, - memory) usage by ensuring resources for production level - jobs/services, followed by fair scaling of jobs that are scalable to use - the resources left in the cluster. - - In this experiment, we are focusing on CPU utilization. -1. Average pending time for training jobs. - - Expecting lesser pending time. - - Long pending time is a common pain point for researchers with the internal - cluster. - - The lesser the pending time, the earlier developers and researchers can - start seeing the training cost graphs, and the better they can - verify the effectiveness of the training algorithm. - - In this experiment, we will verify if the auto-scaler will kill existing -PaddlePaddle training processes to make room for newly submitted jobs. -1. Quality of service of online services. - - When PaddlePaddle jobs are deployed along with online services, we check whether -PaddlePaddle training jobs will yield resources to more important online services - when the load gets intensive. - -## Our setup - -- Kubernetes cluster with v1.6.2 installed, with 133 physical - nodes. -- PaddleCloud with the latest develop branch installed. -- A medium sized neural networks model is used in the experiment. - -## Test Cases - -### Autoscaling on the Special Purpose Cluster - -All the jobs in the cluster will be training jobs (hence the name, -special purpose cluster). This case is a very typical scenario for -research labs. - -#### Variable - -- Autoscaling ON/OFF. - -#### Invariant - -- The number of jobs. -- The configurations for each job are the same, except: - 1. each autoscaling job asks for 2 - 60 trainers, and - 1. each non-autoscaling job asks for 60 trainers. -- The submission time of each job. - - -#### Experiment Steps - - -1. With autoscaling turned on, submit the training jobs with 10 - seconds delay between each job, 20 jobs in total. Repeat the experiment for 10 passes. -1. With autoscaling turned off, submit the training jobs with 10 - seconds delay between each job, 20 jobs in total. Repeat the experiment for 10 passes. - - -#### Experiment Results - -##### Graphs - - - -In the above graph, the solid line is for non-autoscaling experiment -passes, the dashed line is for autoscaling experiment passes. - -We can see that the pending job counts for the autoscaling jobs are -significantly lower than the non-autoscaling jobs while still maintaining high CPU utilization. - -The pending job count for non-autoscaling increases after 100 seconds of the experiment and plateaus at 14 until the end. This means that the cluster's resource have exhausted when 6 jobs are running, hence newly submitted jobs have to wait. Meanwhile in autoscaling experiment, even when resources are exhausted, a newly submitted job can still start, because autoscaler scales existing job down to make room for the new jobs. - -The reason we see ridges in the graph is because jobs are not deployed in one shot, -there is a 10s delay between job submissions. Hence, it will take some time for the job to be actually created. The time in non-autoscaling experiment is simply Kubernetes' job launching time; while the time in autoscaling experiment case is auto-scaler killing other PaddlePaddle pods and Kubernetes job launching time. - -Also in the above graph, we can see that after the utilization stabilizes, the -cluster utilization of autoscaling jobs is slightly lower than the -non-autoscaling jobs. We think this is because of two reasons: - -1. Computation resources are wasted when autoscaler is trying to -free up resources for new incoming jobs. - -1. Autoscaling and non-autoscaling jobs have different distributions - of the numbers of trainer, pserver and master pods. The computation - resources for each node are fragmented differently, leading to a - utilization around 88% for non-autoscaling jobs vs around 86% for - autoscaling jobs when stabilized. - -##### Metrics - -- Autoscaling ON - - PASS|AVG PENDING TIME|CLUSTER CPU UTILS - ---|---|--- - 0|24| 75.5646 - 1|59| 75.9876 - 2|31| 75.0465 - 3|63| 76.0976 - 4|32| 76.6245 - 5|85| 76.1902 - 6|67| 76.3599 - 7|45| 77.8456 - 8|38| 76.8869 - 9|28| 76.7175 - AVG|42.9091| 76.3321 - - -- Autoscaling OFF - - PASS|AVG PENDING TIME|CLUSTER CPU UTILS - ---|---|--- - 0|319| 76.2028 - 1|305| 75.8829 - 2|295| 79.8287 - 3|309| 75.0948 - 4|315| 75.5644 - 5|319| 75.2832 - 6|298| 75.3558 - 7|311| 75.578 - 8|316| 76.9651 - 9|298| 75.8706 - AVG|280.455| 76.1626 - -### Autoscaling on the General Purpose Cluster - -Hybrid deployment with online serving and offline training job (hence -the name, general purpose cluster). We will deploy PaddlePaddle -training jobs and [Nginx](https://www.nginx.com/resources/wiki/) web -serving together. This case is a very typical scenario for large -enterprises and internet companies. - -#### Variable - -- The number of Nginx instances, changing over time, simulating the - real world traffic load distribution over time. -- Autoscaling ON/OFF. - -#### Invariant - -- The number of training jobs. -- The configurations for each training job are the same, except: - 1. each autoscaling job asks for 2 - 60 trainers, and - 1. each non-autoscaling job asks for 60 trainers. -- The submission time for each training job. -- The configuration of each Nginx job. - -#### Experiment Steps - -1. With autoscaling turned on, start 400 Nginx instances to simulate - the number of Nginx instances required for the peak time load. - -1. Start the training jobs. - -1. Decrease the Nginx instance count of 400 to 100 over time. This - simulates Nginx load decreases, requiring fewer Nginx instances. - -1. Increase the Nginx instances count of 100 to 400 over time. This - simulates the full Nginx load cycle. - -1. Repeat the experiment for 10 passes. - -1. Repeat the above steps with autoscaling turned off. - -#### Experiment Result - -##### Graphs - - - -The solid line is for non-autoscaling experiment passes and the dashed line is for -autoscaling experiment passes. - -The above graph shows the number of Nginx instances changing over -time, simulating a typical online cluster usage. Meanwhile, when auto-scaling is enabled, the PaddlePaddle job trainer pods count is changing along in the opposite trend. - -Also when autoscaling is turned on, the cluster -utilization is kept high even though the online Nginx service is -scaled down. - -We notice that Nginx pods count curve with autoscaling-on is not as sharp as the one with autoscaling-off, especially when Nginx is trying to increase its pods. This is where we still need to improve the performance of the auto-scaler. - - -##### Metrics - -- Autoscaling ON - - PASS|AVG PENDING TIME|CLUSTER CPU UTILS - --- | --- | --- - 0|33|83.7926 - 1|38|83.0557 - 2|29|82.8201 - 3|22|84.3083 - 4|62|82.8449 - 5|21|83.2045 - 6|70|83.0649 - 7|69|83.8079 - 8|101|83.5989 - 9|70|83.7494 - AVG|53.55|83.4247 - - Off-peak (300s - 370s) average cluster utilization: - 79.3505 - -- Autoscaling OFF - - PASS|AVG PENDING TIME|CLUSTER CPU UTILS - --- | --- | --- - 0|1|62.3651 - 1|0|61.7813 - 2|1|61.6985 - 3|0|61.4403 - 4|2|61.8323 - 5|3|61.7459 - 6|2|61.5679 - 7|2|62.1981 - 8|3|61.9676 - 9|1|62.0316 - AVG|1.5|61.8629 - - Off-peak (300s - 370s) average cluster utilization: - 44.9134 - -We also notice the increase in average pending time. The reason -behind this is the mechanism of gradual deployment of tasks to -minimize the impact to online services. - -##### Data Log - -Every number and plot in the report is calculated from raw -data. You can find the calculation programs and raw -data -[here](https://github.com/PaddlePaddle/cloud/tree/develop/doc/autoscale/experiment/result) - -## Conclusions - -### Resource utilization - -As shown in Case 2 in a general purpose cluster, the CPU utilization -increased by 34.8% (`(83.4247-61.8629)/61.8629`) on average; During -the off-peak time, the CPU utilization even surged by 76.7% -(`(79.3505-44.9134)/44.9134`). - -Clearly, now PaddlePaddle machine learning jobs are running in the computing resource reservoir prepared for the rainy day. When the situation is getting -tough, machine learning tasks will size down themselves without fault and -give resources back automatically. - -### Average Pending time - -As shown in case 1 in a special purpose cluster, the average pending -time reduced by 84.7% (`(280.455-42.9091)/280.455`) on average. - -### Improvement of service quality with general purpose cluster - -As shown in test case 2, PaddlePaddle yields resource to more -important online services when the load is getting intensive. - -## Reproducing the Experiment - -### Preparation - -1. Configure kubectl and paddlectl on your host. -1. Submit the TrainingJob controller with the YAML file. - -```bash -> git clone https://github.com/PaddlePaddle/cloud.git && cd cloud -> kubectl create -f k8s/controller/trainingjob_resource.yaml -> kubectl create -f k8s/controller/controller.yaml -``` - -### Run the Test Case - -Run the TestCase1 or TestCase2 for serval passes with the bash script -`./run.sh`: - -For example, run TestCase1 for 10 passes and 10 jobs: -```bash -> cd cloud/doc/autoscale/experiment -> TAG=round_1 AUTO_SCALING=OFF PASSES=1 JOB_COUNT=20 ./run.sh start case1 -``` - -Or submit an auto-scaling training job - -```bash -> cd cloud/doc/autoscale/experiment -> TAG=round_1 AUTO_SCALING=ON PASSES=1 JOB_COUNT=20 ./run.sh start case1 -``` - -Or run the TestCase2 with 5 jobs: -```bash -> TAG=round_1 AUTO_SCALING=ON JOB_COUNT=6 ./run.sh start case2 -``` - -Note: the test output will be written to different folders (the -folder name is generated based on the test configuration), so it's ok -to run the tests in a loop to get multiple round of data: - -``` -> for i in `seq 1 2`; do echo pass $i; TAG=round_$i JOB_COUNT=6 ./run.sh start case2; done -pass 1 -outputing output to folder: ./out/mnist-OFF-6-1-ON-400-case_case2-round_1 -``` - - -### Plot Data and Generate Report - -Please refer to the [README](./result/README.md). - -#### Raw Data Format - -The time series data will be appended to the file -`./out/*/mnist-case[1|2]-pass[0-9].log`, the content of `*` depends on -the test case config and will be printed in the beginning. - -as the following format: - -``` -0,2.11,0,3,0,0,0,0,0|0|0,0.00|0.00|0.00 -2,2.11,0,3,0,0,0,0,0|0|0,0.00|0.00|0.00 -4,2.11,0,3,0,0,0,0,0|0|0,0.00|0.00|0.00 -5,2.11,0,2,1,0,0,0,0|0|0,0.00|0.00|0.00 -7,5.30,7,2,0,1,0,0,7|0|0,3.19|0.00|0.00 -9,7.90,19,2,0,1,0,0,19|0|0,5.79|0.00|0.00 -10,8.11,20,2,0,1,0,0,20|0|0,6.01|0.00|0.00 -``` - -The meaning of each column is: - -timestamp|total cpu util|# of running trainer|# of not exist jobs|# of pending jobs|# of running jobs|# of done jobs|# of Nginx pods|running trainers for each job |cpu utils for each job ---|--|--|--|--|--|--|--|--|-- diff --git a/doc/edl/experiment/case1.sh b/doc/edl/experiment/case1.sh deleted file mode 100755 index 68efa214..00000000 --- a/doc/edl/experiment/case1.sh +++ /dev/null @@ -1,57 +0,0 @@ -#!/bin/bash -function start() { - for ((pass=0; pass<$PASSES; pass++)) - do - echo "Run pass "$pass - PASSE_NUM=$pass AUTO_SCALING=$AUTO_SCALING JOB_COUNT=$JOB_COUNT JOB_NAME=$JOB_NAME \ - stdbuf -oL nohup python python/main.py run_case1 &> $OUTDIR/${JOB_NAME}-case1-pass$pass.log & - sleep 5 - for ((j=0; j<$JOB_COUNT; j++)) - do - if [ "$AUTO_SCALING" == "ON" ] - then - submit_ft_job $JOB_NAME$j 2 - cat k8s/trainingjob.yaml.tmpl | sed "s//$JOB_NAME$j/g" | kubectl create -f - - else - submit_ft_job $JOB_NAME$j 60 - fi - sleep 10 - done - - sleep 300 - - # waiting for all jobs finished - #python python/main.py wait_for_finished - # stop all jobs - stop - # waiting for all jobs have been cleaned - python python/main.py wait_for_cleaned - # waiting for the data collector exit - while true - do - FILE=$OUTDIR/${JOB_NAME}-case1-pass$pass.csv - if [ ! -f $FILE ]; then - echo "waiting for collector exit, generated file " $FILE - sleep 5 - fi - break - done - # waiting for all jobs have been cleaned - python python/main.py wait_for_cleaned - - done - python python/main.py merge_case1_reports -} - -function stop() { - for ((i=0; i<$JOB_COUNT; i++)) - do - echo "kill" $JOB_NAME$i - if [ "$AUTO_SCALING" == "ON" ] - then - cat k8s/trainingjob.yaml.tmpl | sed "s//$JOB_NAME$i/g" | kubectl delete -f - - fi - paddlecloud kill $JOB_NAME$i - done - kubectl delete pod `kubectl get pods | grep -v Terminating| awk '{print $1}'` -} diff --git a/doc/edl/experiment/case2.sh b/doc/edl/experiment/case2.sh deleted file mode 100755 index f2e7b9c8..00000000 --- a/doc/edl/experiment/case2.sh +++ /dev/null @@ -1,96 +0,0 @@ -#!/bin/bash - -function usage() { - echo "usage: control_case1.sh " - echo " action[required]: str[start|stop], will start or stop all the jobs." - echo "env var:" - echo " JOB_COUNT[optional]: int, The number of submiting jobs, defualt is 1." - echo " PASSES[optional]: int, The times of the experiment." - echo " DETAILS[optional]: str[ON|OFF], print detail monitor information." - echo " NGINX_REPLICAS[optional]: int, The number of Nginx pods, default is 10." -} - -function start() { - # submit Nginx deployment - cat k8s/nginx_deployment.yaml.tmpl | sed "s//$NGINX_REPLICAS/g" | kubectl create -f - - sleep 5 - kubectl scale deployment/nginx --replicas=400 - - # wait for 400 nginx replicas to stabilize - sleep 30 - - PASSE_NUM=0 AUTO_SCALING=$AUTO_SCALING JOB_COUNT=$JOB_COUNT JOB_NAME=$JOB_NAME\ - stdbuf -oL nohup python python/main.py run_case2 &> $OUTDIR/${JOB_NAME}-case2.log & - - # submit the auto-scaling training jobs - for ((j=0; j<$JOB_COUNT; j++)) - do - if [ "$AUTO_SCALING" == "ON" ] - then - submit_ft_job $JOB_NAME$j 15 - cat k8s/trainingjob.yaml.tmpl | sed "s//$JOB_NAME$j/g" | kubectl create -f - - else - submit_ft_job $JOB_NAME$j 15 - fi - sleep 5 - done - - # wait for jobs to stabilize - sleep 60 - - kubectl scale deployment/nginx --replicas=300 - sleep 90 - - kubectl scale deployment/nginx --replicas=200 - sleep 90 - - kubectl scale deployment/nginx --replicas=100 - sleep 90 - - kubectl scale deployment/nginx --replicas=200 - sleep 90 - - kubectl scale deployment/nginx --replicas=300 - sleep 90 - - kubectl scale deployment/nginx --replicas=400 - sleep 120 - - # no need to wait for all training jobs to finish, since training - # jobs could go on for a while. - - # stop all jobs - stop - - # waiting for the data collector exit - while true - do - FILE=$OUTDIR/$JOB_NAME-case1-pass0.csv - if [ ! -f $FILE ]; then - echo "waiting for collector exit, generated file " $FILE - sleep 5 - continue - fi - break - done - python python/main.py merge_case1_reports - - # waiting for all jobs have been cleaned - python python/main.py wait_for_cleaned -} - -function stop() { - for ((i=0; i<$JOB_COUNT; i++)) - do - echo "kill" $JOB_NAME$i - if [ "$AUTO_SCALING" == "ON" ] - then - cat k8s/trainingjob.yaml.tmpl | sed "s//$JOB_NAME$i/g" | kubectl delete -f - - fi - paddlecloud kill $JOB_NAME$i - kubectl delete pod `kubectl get pods | awk '{print $1}'` - done - cat k8s/nginx_deployment.yaml.tmpl | sed "s//$NGINX_REPLICAS/g" | kubectl delete -f - - kubectl delete pod `kubectl get pods | grep -v Terminating| awk '{print $1}'` -} - diff --git a/doc/edl/experiment/k8s/nginx_deployment.yaml.tmpl b/doc/edl/experiment/k8s/nginx_deployment.yaml.tmpl deleted file mode 100644 index e1919c4f..00000000 --- a/doc/edl/experiment/k8s/nginx_deployment.yaml.tmpl +++ /dev/null @@ -1,25 +0,0 @@ -apiVersion: apps/v1beta1 -kind: Deployment -metadata: - name: nginx -spec: - replicas: - template: - metadata: - labels: - app: nginx - spec: - containers: - - name: nginx - image: registry.baidu.com/paddlepaddle/nginx:1.7.9 - ports: - - containerPort: 80 - resources: - limits: - cpu: "3" - memory: "3Gi" - requests: - cpu: "3" - memory: "3Gi" - imagePullSecrets: - - name: job-registry-secret diff --git a/doc/edl/experiment/k8s/trainingjob.yaml.tmpl b/doc/edl/experiment/k8s/trainingjob.yaml.tmpl deleted file mode 100644 index 707f9308..00000000 --- a/doc/edl/experiment/k8s/trainingjob.yaml.tmpl +++ /dev/null @@ -1,33 +0,0 @@ -apiVersion: paddlepaddle.org/v1 -kind: TrainingJob -metadata: - name: -spec: - image: "paddlepaddle/paddlecloud-job" - port: 7164 - ports_num: 1 - ports_num_for_sparse: 1 - fault_tolerant: true - trainer: - entrypoint: "python train.py" - workspace: "/home/job-1/" - passes: 10 - min-instance: 2 - max-instance: 60 - resources: - limits: - cpu: "5" - memory: "8Gi" - requests: - cpu: "5" - memory: "8Gi" - pserver: - min-instance: 2 - max-instance: 2 - resources: - limits: - cpu: "4" - memory: "5Gi" - requests: - cpu: "4" - memory: "5Gi" diff --git a/doc/edl/experiment/mnist/Dockerfile b/doc/edl/experiment/mnist/Dockerfile deleted file mode 100644 index ebc6572d..00000000 --- a/doc/edl/experiment/mnist/Dockerfile +++ /dev/null @@ -1,5 +0,0 @@ -FROM docker.paddlepaddle.org/paddle -RUN mkdir -p /data/mnist && \ - python -c "import paddle.v2.dataset as dataset; dataset.mnist.train(); dataset.mnist.test(); dataset.common.convert('/data/mnist', dataset.mnist.train(), 100, 'mnist-train')" -ADD ./train_ft.py /root -CMD ["paddle", "version"] diff --git a/doc/edl/experiment/mnist/train_ft.py b/doc/edl/experiment/mnist/train_ft.py deleted file mode 100644 index 09fe0776..00000000 --- a/doc/edl/experiment/mnist/train_ft.py +++ /dev/null @@ -1,132 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from PIL import Image -import numpy as np -import paddle.v2 as paddle -import paddle.v2.dataset.common as common -from paddle.v2.reader.creator import cloud_reader -import os -import sys -import glob -import pickle - -DC = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") - -DATASET_PATH = "/data/mnist/mnist-train-*" - - -def softmax_regression(img): - predict = paddle.layer.fc(input=img, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def multilayer_perceptron(img): - # The first fully-connected layer - hidden1 = paddle.layer.fc(input=img, - size=128, - act=paddle.activation.Relu()) - # The second fully-connected layer and the according activation function - hidden2 = paddle.layer.fc(input=hidden1, - size=64, - act=paddle.activation.Relu()) - # The thrid fully-connected layer, note that the hidden size should be 10, - # which is the number of unique digits - predict = paddle.layer.fc(input=hidden2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def convolutional_neural_network(img): - # first conv layer - conv_pool_1 = paddle.networks.simple_img_conv_pool( - input=img, - filter_size=5, - num_filters=20, - num_channel=1, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # second conv layer - conv_pool_2 = paddle.networks.simple_img_conv_pool( - input=conv_pool_1, - filter_size=5, - num_filters=50, - num_channel=20, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # fully-connected layer - predict = paddle.layer.fc(input=conv_pool_2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def main(): - etcd_ip = os.getenv("ETCD_IP") - etcd_endpoint = "http://" + etcd_ip + ":" + "2379" - paddle.init(trainer_count=1) - - # define network topology - images = paddle.layer.data( - name='pixel', type=paddle.data_type.dense_vector(784)) - label = paddle.layer.data( - name='label', type=paddle.data_type.integer_value(10)) - - # Here we can build the prediction network in different ways. Please - # choose one by uncomment corresponding line. - # predict = softmax_regression(images) - # predict = multilayer_perceptron(images) - predict = convolutional_neural_network(images) - - cost = paddle.layer.classification_cost(input=predict, label=label) - - parameters = paddle.parameters.create(cost) - - optimizer = paddle.optimizer.Momentum( - learning_rate=0.1 / 128.0, - momentum=0.9, - regularization=paddle.optimizer.L2Regularization(rate=0.0005 * 128)) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer, - is_local=False, - pserver_spec=etcd_endpoint, - use_etcd=True) - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - if isinstance(event, paddle.event.EndPass): - result = trainer.test(reader=paddle.batch( - paddle.dataset.mnist.test(), batch_size=2)) - print "Test with Pass %d, Cost %f, %s\n" % ( - event.pass_id, result.cost, result.metrics) - - trainer.train( - reader=paddle.batch( - cloud_reader([DATASET_PATH], etcd_endpoint), batch_size=10), - event_handler=event_handler, - num_passes=120) - - -if __name__ == '__main__': - main() diff --git a/doc/edl/experiment/python/case1.py b/doc/edl/experiment/python/case1.py deleted file mode 100644 index 1ed05508..00000000 --- a/doc/edl/experiment/python/case1.py +++ /dev/null @@ -1,104 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import utils -import os - -outdir = os.environ['OUTDIR'] - - -def merge_case_one_reports(jobname, passes): - rs = [_load_case_one_from_file('%s/%s-case1-pass%d.csv' %(outdir, jobname, i) )\ - for i in xrange(passes)] - avg_pending_time = 0 - avg_running_time = 0 - avg_cpu_utils = 0.0 - with open('%s/%s-case1-result.csv' % (outdir, jobname), 'w') as f: - f.write(utils.REPORT_SEPARATOR.join(rs[0].title()) + '\n') - for i in xrange(len(rs)): - r = rs[i] - avg_running_time += r.avg_running_time - avg_pending_time += r.avg_pending_time - avg_cpu_utils += r.avg_cpu_utils - res = [str(i)] - res.extend(r.values()) - f.write(utils.REPORT_SEPARATOR.join(res) + '\n') - f.write( - utils.REPORT_SEPARATOR.join([ - 'AVG', str(avg_running_time), str(avg_pending_time), 'N/A', - '%0.2f' % avg_cpu_utils - ]) + '\n') - - -def _load_case_one_from_file(fn): - with open(fn, 'r') as f: - d = f.read().strip().split(utils.REPORT_SEPARATOR) - r = CaseOneReport() - r.avg_running_time = int(d[0]) - r.avg_pending_time = int(d[1]) - r.job_running_time = d[2].split(',') - r.avg_cpu_utils = float(d[3]) - return r - - -class CaseOneReport(object): - def __init__(self): - self.avg_running_time = 0 - self.avg_pending_time = 0 - self.job_running_time = [] - self.job_pending_time = [] - self.avg_cpu_utils = 0.0 - self.avg_gpu_utils = 0.0 - self.cnt = 0 - - def update_cluster_utils(self, collector): - self.avg_cpu_utils += float(collector.cpu_utils()) - self.avg_gpu_utils += float(collector.gpu_utils()) - self.cnt += 1 - - def update_jobs(self, jobs): - for job in jobs: - if job.start_time == -1: - # job always pending - running_time = 0 - pending_time = job.end_time - job.submit_time - else: - running_time = job.end_time - job.start_time - pending_time = job.start_time - job.submit_time - self.job_running_time.append(str(running_time)) - self.avg_running_time += running_time - self.avg_pending_time += pending_time - - self.avg_running_time /= len(jobs) - self.avg_pending_time /= len(jobs) - - def title(self): - return [ - 'PASS', 'AVG RUNNING TIME', 'AVG PENDING TIME', 'JOB RUNNING TIME', - 'AVG CLUSTER CPU UTILS' - ] - - def run(self): - self.avg_cpu_utils /= self.cnt - self.avg_gpu_utils /= self.cnt - - def values(self): - return [ - str(self.avg_running_time), str(self.avg_pending_time), - ','.join(self.job_running_time), '%0.2f' % self.avg_cpu_utils - ] - - def to_csv(self, fn): - with open(fn, 'w') as f: - f.write(utils.REPORT_SEPARATOR.join(self.values())) diff --git a/doc/edl/experiment/python/case2.py b/doc/edl/experiment/python/case2.py deleted file mode 100644 index fed3216f..00000000 --- a/doc/edl/experiment/python/case2.py +++ /dev/null @@ -1,54 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - - -class CaseTwoItem(object): - def __init__(self, ts, nginx_pods, running_trainers, collector): - self.ts = ts - self.nginx_pods = nginx_pods - self.running_trainers = running_trainers - self.cpu_utils = collector.cpu_utils() - self.gpu_utils = collector.gpu_utils() - - #def values(self): - # return [str(self.times), str(self.nginx_pods), str(self.running_trainers), str(self.cpu_utils)] - - -class CaseTwoReport(object): - def __init__(self): - self.items = [] - self.avg_cpu_utils = 0.0 - self.cnt = 0 - - def append_item(self, item): - # append new item only if Nginx pods changed - if not self.items or \ - self.items[-1].nginx_pods != item.nginx_pods or \ - self.items[-1].running_trainers != item.running_trainers: - self.items.append(item) - self.avg_cpu_utils += float(item.cpu_utils) - self.cnt += 1 - - def title(self): - return ['TIME', 'NGINX PODS', 'RUNNING TRAINERS', 'CLUSTER CPU UTILS'] - - def to_csv(self, fn): - self.avg_cpu_utils /= self.cnt - with open(fn, 'w') as f: - f.write('|'.join(self.title()) + '\n') - for item in self.items: - f.write('|'.join([ - str(item.ts), str(item.nginx_pods), str( - item.running_trainers), item.cpu_utils - ]) + '\n') diff --git a/doc/edl/experiment/python/collector.py b/doc/edl/experiment/python/collector.py deleted file mode 100644 index c904e9a3..00000000 --- a/doc/edl/experiment/python/collector.py +++ /dev/null @@ -1,211 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from kubernetes import client, config -from kubernetes.client.rest import ApiException -from pprint import pprint -import time - -JOB_STATUS_NOT_EXISTS = 0 -JOB_STATUS_PENDING = 1 -JOB_STATUS_RUNNING = 2 -JOB_STATUS_FINISHED = 3 -JOB_STSTUS_KILLED = 4 - - -class JobInfo(object): - def __init__(self, name): - self.name = name - self.started = False - self.status = JOB_STATUS_NOT_EXISTS - self.submit_time = -1 - self.start_time = -1 - self.end_time = -1 - self.parallelism = 0 - self.cpu_utils = '' - - def status_str(self): - if self.status == JOB_STATUS_FINISHED: - return 'FINISH' - elif self.status == JOB_STATUS_PENDING: - return 'PENDING' - elif self.status == JOB_STATUS_NOT_EXISTS: - return 'N/A' - elif self.status == JOB_STATUS_RUNNING: - return 'RUNNING' - elif self.status == JOB_STSTUS_KILLED: - return 'KILLED' - - -class Collector(object): - ''' - Collector monitor data from Kubernetes API - ''' - - def __init__(self): - config.load_kube_config() - self.namespace = config.list_kube_config_contexts()[1]['context'][ - 'namespace'] - self.cpu_allocatable = 0 - self.gpu_allocatable = 0 - self.cpu_requests = 0 - self.gpu_requests = 0 - self._namespaced_pods = [] - # Collect cluster wide resource - self._init_allocatable() - - self._pods = [] - - def _init_allocatable(self): - api_instance = client.CoreV1Api() - try: - api_response = api_instance.list_node() - cpu = 0 - gpu = 0 - for item in api_response.items: - allocate = item.status.allocatable - cpu += int(allocate.get('cpu', 0)) - gpu += int(allocate.get('gpu', 0)) - self.cpu_allocatable = cpu - self.gpu_allocatable = gpu - except ApiException as e: - print("Exception when calling CoreV1Api->list_node: %s\n" % e) - - def _real_cpu(self, cpu): - if cpu: - if cpu.endswith('m'): - return 0.001 * int(cpu[:-1]) - else: - return int(cpu) - return 0 - - def run_once(self): - api_instance = client.CoreV1Api() - config.list_kube_config_contexts() - try: - api_response = api_instance.list_pod_for_all_namespaces() - self._pods = api_response.items - self._namespaced_pods = [] - for pod in self._pods: - if pod.metadata.namespace == self.namespace: - self._namespaced_pods.append(pod) - - except ApiException as e: - print( - "Exception when calling CoreV1Api->list_pod_for_all_namespaces: %s\n" - % e) - return int(time.time()) - - def cpu_utils(self): - cpu = 0 - for item in self._pods: - if item.status.phase != 'Running': - continue - for container in item.spec.containers: - requests = container.resources.requests - if requests: - cpu += self._real_cpu(requests.get('cpu', None)) - - return '%0.2f' % ((100.0 * cpu) / self.cpu_allocatable) - - def gpu_utils(self): - gpu = 0 - for item in self._pods: - if item.status.phase != 'Running': - continue - for container in item.spec.containers: - limits = container.resources.limits - if limits: - gpu += int(limits.get('alpha.kubernetes.io/nvidia-gpu', 0)) - if not self.gpu_allocatable: - return '0' - return '%0.2f' % ((100.0 * gpu) / self.gpu_allocatable) - - def get_paddle_pods(self): - pods = [] - for item in self._namespaced_pods: - if not item.metadata.labels: - continue - for k, v in item.metadata.labels.items(): - if k.startswith('paddle-job'): - pods.append((item.metadata.name, item.status.phase)) - return pods - - def get_running_trainers(self): - cnt = 0 - for item in self._namespaced_pods: - if not item.metadata.labels: - continue - for k, v in item.metadata.labels.items(): - if k == 'paddle-job' and item.status.phase == 'Running': - cnt += 1 - - return cnt - - def update_job(self, job, times): - phases = set() - parallelism = 0 - cpu = 0 - running_trainers = 0 - for item in self._namespaced_pods: - if item.metadata.labels: - for k, v in item.metadata.labels.items(): - # All PaddleCloud jobs has the label key: paddle-job-* - if k == 'paddle-job' and v == job.name: - parallelism += 1 - if job.submit_time == -1: - job.submit_time = times - phases.add(item.status.phase) - if item.status.phase == 'Running': - running_trainers += 1 - - if k.startswith( - 'paddle-job' - ) and v == job.name and item.status.phase == 'Running': - for container in item.spec.containers: - requests = container.resources.requests - if requests: - cpu += self._real_cpu( - requests.get('cpu', None)) - - job.parallelism = parallelism - job.running_trainers = running_trainers - job.cpu_utils = '%0.2f' % ((100.0 * cpu) / self.cpu_allocatable) - if len(phases) == 0: - if job.submit_time != -1: - job.status = JOB_STSTUS_KILLED - if job.end_time == -1: - job.end_time = times - elif 'Running' in phases: - if job.start_time == -1: - job.start_time = times - job.status = JOB_STATUS_RUNNING - elif ('Failed' in phases or \ - (len(phases) == 1 and 'Succeeded' in phases)) and \ - job.end_time == -1: - job.end_time = times - job.status = JOB_STATUS_FINISHED - elif 'Pending' in phases: - job.status = JOB_STATUS_PENDING - - def get_running_pods(self, labels): - pods = 0 - for item in self._namespaced_pods: - if item.metadata.labels: - for k, v in item.metadata.labels.items(): - if k in labels and labels[k] == v and \ - item.status.phase == 'Running': - pods += 1 - - return pods diff --git a/doc/edl/experiment/python/main.py b/doc/edl/experiment/python/main.py deleted file mode 100644 index 472dd318..00000000 --- a/doc/edl/experiment/python/main.py +++ /dev/null @@ -1,192 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import time -import collector -import sys -import utils -import os -from case1 import CaseOneReport, merge_case_one_reports -from case2 import CaseTwoItem, CaseTwoReport -COLLECTION_INTERVAL = 2 - -JOB_NAME = os.getenv("JOB_NAME", "mnist") -JOB_COUNT = int(os.getenv("JOB_COUNT", 1)) -PASSES = int(os.getenv("PASSES", 1)) -PASSE_NUM = int(os.getenv("PASSE_NUM", 1)) -DETAILS = os.getenv("DETAILS", "ON") - -outdir = os.environ['OUTDIR'] - - -class StatInfo(object): - def __init__(self, pass_num, average_running_time, average_pending_time, - jobs_running_time, cpu_utils): - self._pass_num = pass_num - self._average_runnint_time = average_running_time - self._average_pending_time = average_pending_time - self._jobs_running_time = jobs_running_time - self._cpu_utils = cpu_utils - - def to_str(self): - return utils.REPORT_SEPARATOR.join([ - str(self._pass_num), str(self._average_runnint_time), - str(self._average_pending_time), ','.join(self._jobs_running_time), - str(self._cpu_utils) - ]) - - -def wait_for_finished(c): - jobs = utils.get_jobs(JOB_NAME, JOB_COUNT) - while True: - c.run_once() - for job in jobs: - c.update_job(job, 0) - if utils.is_jobs_finished(jobs): - print 'All the jobs have already finished' - return - print 'Waiting for all the jobs finsihed for 5 seconds...' - time.sleep(5) - - -def wait_for_cleaned(c): - while True: - c.run_once() - pods = c.get_paddle_pods() - if not pods: - print 'All the jobs have been cleaned.' - return - print 'Waiting for all the jobs cleaned for 5 seconds...' - time.sleep(5) - - -def print_title(): - print utils.REPORT_SEPARATOR.join([ - 'TIME', 'JOB NAME:STATUS:RUNNING TRAINERS:CPU UTILS', 'NGINX PODS', - 'CLUSTER CPU UTILS', 'CLUSTER GPU UTILS' - ]) - - -def print_info(ts, c, jobs, nginx_pods): - - running_job_count = 0 - pending_job_count = 0 - finished_job_count = 0 - waiting_job_count = 0 - jobs_running_trainers = [] - jobs_cpu_utils = [] - for job in jobs: - if job.status == collector.JOB_STATUS_RUNNING: - running_job_count += 1 - if job.status == collector.JOB_STATUS_PENDING: - pending_job_count += 1 - if job.status == collector.JOB_STATUS_NOT_EXISTS: - waiting_job_count += 1 - if job.status == collector.JOB_STATUS_FINISHED: - finished_job_count += 1 - jobs_running_trainers.append(str(job.running_trainers)) - jobs_cpu_utils.append(str(job.cpu_utils)) - - print ','.join([ - str(ts), - str(c.cpu_utils()), # cluster CPU utils - str(c.get_running_trainers()), # total running trainers count - str(waiting_job_count), - str(pending_job_count), - str(running_job_count), - str(finished_job_count), - str(nginx_pods), - '|'.join(jobs_running_trainers - ), # Running trainers count for each job, separator by '|' - '|'.join( - jobs_cpu_utils) # the CPU utils for each job, separator by '|' - ]) - - -def run_case2(c): - r1 = CaseOneReport() - r2 = CaseTwoReport() - jobs = utils.get_jobs(JOB_NAME, JOB_COUNT) - start = int(time.time()) - - while True: - c.run_once() - ts = int(time.time()) - start - for job in jobs: - c.update_job(job, ts) - - running_trainers = c.get_running_trainers() - nginx_pods = c.get_running_pods({'app': 'nginx'}) - - item = CaseTwoItem(ts, nginx_pods, running_trainers, c) - - if DETAILS: - print_info(ts, c, jobs, nginx_pods) - - r1.update_cluster_utils(c) - r2.append_item(item) - - if utils.is_jobs_killed(jobs): - r1.update_jobs(jobs) - r1.run() - r2.to_csv('%s/%s-case2-result.csv' % (outdir, JOB_NAME)) - r1.to_csv('%s/%s-case1-pass%d.csv' % (outdir, JOB_NAME, PASSE_NUM)) - break - - -def run_case1(c): - report = CaseOneReport() - jobs = utils.get_jobs(JOB_NAME, JOB_COUNT) - start = int(time.time()) - - while True: - ts = int(time.time()) - start - c.run_once() - for job in jobs: - c.update_job(job, ts) - report.update_cluster_utils(c) - - if DETAILS: - print_info(ts, c, jobs, 0) - - if utils.is_jobs_killed(jobs): - report.update_jobs(jobs) - report.run() - report.to_csv('%s/%s-case1-pass%d.csv' % - (outdir, JOB_NAME, PASSE_NUM)) - break - - -def usage(): - print 'Usage python main.py [run_case1|run_case2|wait_for_finished|wait_for_cleaned]' - - -if __name__ == "__main__": - if len(sys.argv) != 2: - usage() - exit(0) - - c = collector.Collector() - if sys.argv[1] == 'run_case1': - run_case1(c) - elif sys.argv[1] == 'run_case2': - run_case2(c) - elif sys.argv[1] == 'wait_for_finished': - wait_for_finished(c) - elif sys.argv[1] == 'wait_for_cleaned': - wait_for_cleaned(c) - elif sys.argv[1] == 'merge_case1_reports': - merge_case_one_reports(JOB_NAME, PASSES) - else: - usage() diff --git a/doc/edl/experiment/python/ploter.py b/doc/edl/experiment/python/ploter.py deleted file mode 100644 index c1e2f4e8..00000000 --- a/doc/edl/experiment/python/ploter.py +++ /dev/null @@ -1,237 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import matplotlib.pyplot as plt -import numpy as np -import matplotlib.ticker as mticker -import os -import csv -import glob - -DATA_PATHS = os.getenv("DATA_PATHS", "../out1/case1-mnist-OFF*/*.log") -CASEID = os.getenv("CASE", "1") -DATA_MAX = int(os.getenv("DATA_MAX", "550")) -PNGPATH = os.getenv("PNGPATH", "./") - - -def clean_data(data): - new_data = [] - for ins in data: - new_ins = [] - for step in ins: - ts = int(step[0]) - if ts >= 0 and ts < DATA_MAX: - new_ins.append(step) - new_data.append(new_ins) - return new_data - - -def nearest(l, val): - r = l[0] - cur_dis = -1 - for v in l: - dis = abs(int(val[0]) - int(v[0])) - if cur_dis < 0 or dis < cur_dis: - cur_dis = dis - r = v - return r - - -def avg(a, weight_a, b, weight_b): - if isinstance(a, list): - r = [] - for i, item in enumerate(a): - v = avg(item, weight_a, b[i], weight_b) - r.append(v) - out = r - elif isinstance(a, str): - if "|" in a: - r = [] - va = a.split("|") - vb = b.split("|") - total = len(va) - if len(vb) > total: - total = len(vb) - - for i in range(total): - if len(a) > i: - fa = float(va[i]) - else: - fa = float(va[-1]) - - if len(b) > i: - fb = float(vb[i]) - else: - fb = float(vb[-1]) - - f = (fa * weight_a + fb * weight_b) / (weight_a + weight_b) - r.append(str(f)) - - out = "|".join(r) - else: - a = float(a) - b = float(b) - out = (a * weight_a + b * weight_b) / (weight_a + weight_b) - else: - a = float(a) - b = float(b) - out = (a * weight_a + b * weight_b) / (weight_a + weight_b) - - return out - - -def merge_two(a, weight_a, b, weight_b): - result = [] - - for v in a: - near = nearest(b, v) - result.append(avg(v, weight_a, near, weight_b)) - - for v in b: - near = nearest(a, v) - result.append(avg(near, weight_a, v, weight_b)) - - sorted_result = sorted(result, key=lambda v: int(v[0])) - return sorted_result - - -def merge_data(data): - data = clean_data(data) - result = data[0] - for i in range(len(data) - 1): - result = merge_two(result, i + 1, data[i + 1], 1) - return result - - -if __name__ == '__main__': - column_names = [ - "timestamp", "cpu util", "# of trainers", "# of not existing jobs", - "# of pending jobs", "# of running jobs", "# of completed jobs", - "# of ngix pods", "running trainers for each job", - "cpu utils for each job" - ] - - # y axes limits for case 1 and 2 - ylims = { - "1": #CASEID - [ - 0, #timestamp, not used - 100, - 360, - 20, - 20, - 20, - 20, - 0, - 80, - 30 #cpu utils for each job. To be decided - ], - "2": [ - 0, #timestamp, not used - 100, - 300, - 20, - 20, - 20, - 20, - 0, - 60, - 50 #cpu utils for each job. To be decided - ] - } - - # read csv files - data_csvs = [] - datafiles = glob.glob(DATA_PATHS) - for filepath in datafiles: - with open(filepath, "rb") as csvfile: - csv_reader = csv.reader(csvfile, delimiter=',') - data_csvs.append({'data': list(csv_reader), 'time_of_event': 0}) - ''' - start aligning different batch of data by time of event - case one's event is when # of not existing job become 0 - case tow's event is when # of ngix pods start to change - ''' - # find time of event - for index, data_csv in enumerate(data_csvs): - previous_row = data_csv["data"][0] - for row in data_csv["data"]: - if CASEID == "1": - if row[3] == "0": - print row - data_csv['time_of_event'] = row[0] - break - if CASEID == "2": - if row[7] != previous_row[7]: - data_csv['time_of_event'] = row[0] - break - previous_row = row - - # correct data offest - data_merged = data_csvs[0]["data"] - data_corrected = [None] * len(data_csvs) - standard_time_of_event = int(data_csvs[0]['time_of_event']) - print "standard time of event", standard_time_of_event - for index, data_csv in enumerate(data_csvs): - # time_offset = int(data_csv['time_of_event']) - standard_time_of_event - # print "time offset", time_offset - - # disable time_offset - time_offset = 0 - data_corrected[index] = [[str(int(x[0]) - time_offset)] + x[1:] - for x in data_csv['data']] - - data_plot = merge_data(data_corrected) - plot_data = [[] for _ in range(len(column_names))] - - for row_idx, row in enumerate(data_plot): - for col_idx, item in enumerate(row): - if isinstance(item, str): - v = item.split("|") - else: - v = [item] - v = np.array(v).astype(np.float) - plot_data[col_idx].append(v) - - ax_data = np.array(plot_data[0]) - _, axes = plt.subplots(len(plot_data) - 1, sharex=True) - - #create charts - for index, plot in enumerate(plot_data): - if index == 0: - continue - - plot = np.array(plot) - name = column_names[index] - ymax = ylims[CASEID][index] - ymax = ymax if ymax > 0 else 1 - - ax = axes[index - 1] - ax.plot(ax_data, plot) - - ax.set_ylim((0, ymax)) - ax.yaxis.set_major_locator(mticker.MaxNLocator(4, integer=True)) - ax.set_title(name) - - fig = plt.figure(name) - png_ax = plt.gca() - png_ax.set_title(name) - png_ax.set_ylim((0, ymax)) - plt.plot(ax_data, plot) - plt.savefig(PNGPATH + name + ".png") - plt.close(fig) - - plt.subplots_adjust( - left=0.07, bottom=0.11, right=0.96, top=0.93, wspace=0.2, hspace=0.57) - plt.show() diff --git a/doc/edl/experiment/python/utils.py b/doc/edl/experiment/python/utils.py deleted file mode 100644 index 15b684de..00000000 --- a/doc/edl/experiment/python/utils.py +++ /dev/null @@ -1,49 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import collector -REPORT_SEPARATOR = "|" - - -def is_jobs_finished(jobs): - for job in jobs: - if job.status != collector.JOB_STATUS_FINISHED: - return False - return True - - -def is_jobs_killed(jobs): - for job in jobs: - if job.status != collector.JOB_STSTUS_KILLED: - return False - return True - - -def avg_running_time(jobs): - sum = 0 - for job in jobs: - sum += job.end_time - job.start_time - return sum / len(jobs) - - -def avg_pending_time(jobs): - sum = 0 - for job in jobs: - sum += job.start_time - job.submit_time - return sum / len(jobs) - - -def get_jobs(jobname_prefix, jobs): - return [collector.JobInfo('%s%d' % (jobname_prefix, idx)) \ - for idx in xrange(jobs)] diff --git a/doc/edl/experiment/result/.gitignore b/doc/edl/experiment/result/.gitignore deleted file mode 100644 index 4a74e828..00000000 --- a/doc/edl/experiment/result/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -.DS_Store -*/*.log.csv diff --git a/doc/edl/experiment/result/README.md b/doc/edl/experiment/result/README.md deleted file mode 100644 index eaacc4a3..00000000 --- a/doc/edl/experiment/result/README.md +++ /dev/null @@ -1,26 +0,0 @@ -## Plotter usage - -### Preprocess - -```bash -$ cd $REPO/doc/autoscale/experiment/result -$ ./plot/preprocess.sh `ls */*.log` -``` - -### Plot Experiment Result Graphs - -1. [Install Go](https://golang.org/doc/install) - -1. Run the command below: - ```bash - go run plot/plot.go -pattern '*/*.log.csv' - ``` - - The experiment result graphs will be generated in the current folder. - -### Calculate Result Report - -Run the command below: -```bash -./calculate_result.sh -``` diff --git a/doc/edl/experiment/result/calculate_result.sh b/doc/edl/experiment/result/calculate_result.sh deleted file mode 100755 index 1bdff1d7..00000000 --- a/doc/edl/experiment/result/calculate_result.sh +++ /dev/null @@ -1,50 +0,0 @@ -#!/bin/bash - -for i in `seq 0 9`; do cat case1-mnist-OFF-20-1-ON-400-round_$i/mnist-case1-pass0.log|awk -F, '{if ($1<=550) {a=a+$2; b=b+1}} END {print a/b}'; done > /tmp/cpu_off.txt -cat /tmp/cpu_off.txt|awk '{a+=$1} END{print a/10}' >> /tmp/cpu_off.txt -for i in `seq 0 9`; do cat case1-mnist-ON-20-1-ON-400-round_$i/mnist-case1-pass0.log|awk -F, '{if ($1<=550) {a=a+$2; b=b+1}} END {print a/b}'; done > /tmp/cpu_on.txt -cat /tmp/cpu_on.txt|awk '{a+=$1} END{print a/10}' >> /tmp/cpu_on.txt -cat case1-mnist-OFF-20-1-ON-400-round_*/mnist-case1-result.csv|grep -v PASS|grep -v AVG|awk -F'|' 'BEGIN {a=0} {print a"|"$3"|"; a+=1; b+=$3} END{print "AVG|"b/(a+1)"|"}' > /tmp/pending_off.txt -cat case1-mnist-ON-20-1-ON-400-round_*/mnist-case1-result.csv|grep -v PASS|grep -v AVG|awk -F'|' 'BEGIN {a=0} {print a"|"$3"|"; a+=1; b+=$3} END{print "AVG|"b/(a+1)}"|"}' > /tmp/pending_on.txt - -echo "# case 1 autoscaling on" -echo 'PASS|AVG PENDING TIME|CLUSTER CPU UTILS' -echo '---|---|---' -paste /tmp/pending_on.txt /tmp/cpu_on.txt - -echo -echo "# case 1 autoscaling off" -echo 'PASS|AVG PENDING TIME|CLUSTER CPU UTILS' -echo '---|---|---' -paste /tmp/pending_off.txt /tmp/cpu_off.txt - -for i in `seq 0 9`; do cat case2-mnist-OFF-6-1-ON-400-round_$i/mnist-case2.log|awk -F, '{if ($1<=550) {a=a+$2; b=b+1}} END {print a/b}'; done > /tmp/cpu_off.txt -cat /tmp/cpu_off.txt|awk '{a+=$1} END{print a/10}' >> /tmp/cpu_off.txt -for i in `seq 0 9`; do cat case2-mnist-ON-6-1-ON-400-round_$i/mnist-case2.log|awk -F, '{if ($1<=550) {a=a+$2; b=b+1}} END {print a/b}'; done > /tmp/cpu_on.txt -cat /tmp/cpu_on.txt|awk '{a+=$1} END{print a/10}' >> /tmp/cpu_on.txt -cat case2-mnist-OFF-6-1-ON-400-round_*/mnist-case1-result.csv|grep -v PASS|grep -v AVG|awk -F'|' 'BEGIN {a=0} {print a"|"$3"|"; a+=1; b+=$3} END{print "AVG|"b/(a+1)"|"}' > /tmp/pending_off.txt -cat case2-mnist-ON-6-1-ON-400-round_*/mnist-case1-result.csv|grep -v PASS|grep -v AVG|awk -F'|' 'BEGIN {a=0} {print a"|"$3"|"; a+=1; b+=$3} END{print "AVG|"b/(a+1)"|"}' > /tmp/pending_on.txt - -echo -echo "# case 2 autoscaling on" -echo 'PASS|AVG PENDING TIME|CLUSTER CPU UTILS' -echo '---|---|---' -paste /tmp/pending_on.txt /tmp/cpu_on.txt - -echo -echo "# case 2 autoscaling off" -echo 'PASS|AVG PENDING TIME|CLUSTER CPU UTILS' -echo '---|---|---' -paste /tmp/pending_off.txt /tmp/cpu_off.txt - -for i in `seq 0 9`; do cat case2-mnist-OFF-6-1-ON-400-round_*/mnist-case2.log |awk -F, '{if ($1>=300 && $1<=370) {a=a+$2; b=b+1}} END {print a/b}'; done > /tmp/off-peak-util-off.txt -for i in `seq 0 9`; do cat case2-mnist-ON-6-1-ON-400-round_*/mnist-case2.log |awk -F, '{if ($1>=300 && $1<=370) {a=a+$2; b=b+1}} END {print a/b}'; done > /tmp/off-peak-util-on.txt -echo -echo "# case 2 autoscaling on, average util during off-peak time" -echo "Off-peak (300s - 370s) average cluster utilization:" -cat /tmp/off-peak-util-on.txt | awk '{a+=$1; b+=1} END {print a/b}' - -echo -echo "# case 2 autoscaling off, average util during off-peak time" -echo "Off-peak (300s - 370s) average cluster utilization:" -cat /tmp/off-peak-util-off.txt | awk '{a+=$1; b+=1} END {print a/b}' diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_0/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_0/mnist-case1-pass0.csv deleted file mode 100644 index 9d4c5311..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_0/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -214|319|624,631,616,606,598,583,0,0,0,0,0,0,28,114,32,36,48,110,128,128|54.78 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_0/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_0/mnist-case1-pass0.log deleted file mode 100644 index 76dbdaa3..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_0/mnist-case1-pass0.log +++ /dev/null @@ -1,112 +0,0 @@ -0,2.15,0,20,0,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -3,2.66,0,19,1,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.51|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -7,15.82,56,19,0,1,0,0,56|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,13.67|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -10,16.67,60,19,0,1,0,0,60|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -14,16.67,60,19,0,1,0,0,60|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -17,19.10,65,18,0,2,0,0,60|5|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|2.43|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -22,31.20,120,18,0,2,0,0,60|60|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|14.52|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -28,31.20,120,17,1,2,0,0,60|60|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|14.52|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -32,43.97,172,17,0,3,0,0,60|60|52|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|14.52|12.78|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -37,45.72,180,17,0,3,0,0,60|60|60|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|14.52|14.52|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -42,50.41,194,16,0,4,0,0,60|60|60|14|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|14.52|14.52|4.68|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -47,60.24,240,16,0,4,0,0,60|60|60|60|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|14.52|14.52|14.52|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -52,60.24,240,15,1,4,0,0,60|60|60|60|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,14.52|14.52|14.52|14.52|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 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deleted file mode 100644 index 4d562c1a..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_0/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|214|319|624,631,616,606,598,583,0,0,0,0,0,0,28,114,32,36,48,110,128,128|54.78 -AVG|214|319|N/A|54.78 diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_1/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_1/mnist-case1-pass0.csv deleted file mode 100644 index 8d5aee57..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_1/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -198|305|605,595,579,576,561,556,0,0,0,0,0,0,0,0,0,0,118,122,122,129|54.12 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_1/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_1/mnist-case1-pass0.log deleted 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a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_1/mnist-case1-result.csv b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_1/mnist-case1-result.csv deleted file mode 100644 index 7e36e2e5..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_1/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|198|305|605,595,579,576,561,556,0,0,0,0,0,0,0,0,0,0,118,122,122,129|54.12 -AVG|198|305|N/A|54.12 diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_2/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_2/mnist-case1-pass0.csv deleted file mode 100644 index 74573de9..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_2/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -180|295|581,577,563,552,546,535,0,0,0,0,0,0,0,0,0,0,0,96,127,40|52.35 \ No newline at end of file diff --git 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deleted file mode 100644 index f68b6941..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_2/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|180|295|581,577,563,552,546,535,0,0,0,0,0,0,0,0,0,0,0,96,127,40|52.35 -AVG|180|295|N/A|52.35 diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_3/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_3/mnist-case1-pass0.csv deleted file mode 100644 index 1f4cc7e8..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_3/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -206|309|613,600,596,584,577,566,0,0,0,0,0,0,0,0,0,122,103,125,125,114|56.00 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_3/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_3/mnist-case1-pass0.log deleted file 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a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_4/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -206|315|619,615,605,598,582,578,0,0,0,0,0,0,0,0,0,122,117,127,131,43|54.79 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_4/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_4/mnist-case1-pass0.log deleted file mode 100644 index 9d5b4fe6..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_4/mnist-case1-pass0.log +++ /dev/null @@ -1,110 +0,0 @@ -0,2.15,0,20,0,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -4,2.32,0,19,1,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.17|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 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b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_5/mnist-case1-pass0.csv deleted file mode 100644 index 41968a25..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_5/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -205|319|620,613,611,595,591,579,0,0,0,0,0,0,0,0,0,102,102,123,131,50|54.63 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_5/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_5/mnist-case1-pass0.log deleted file mode 100644 index 2fd59ee4..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_5/mnist-case1-pass0.log +++ /dev/null @@ -1,110 +0,0 @@ -0,2.15,0,20,0,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 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@@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|205|319|620,613,611,595,591,579,0,0,0,0,0,0,0,0,0,102,102,123,131,50|54.63 -AVG|205|319|N/A|54.63 diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_6/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_6/mnist-case1-pass0.csv deleted file mode 100644 index e4c8a99a..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_6/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -179|298|587,571,562,553,539,527,0,0,0,0,0,0,0,0,0,0,0,0,115,127|51.74 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_6/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_6/mnist-case1-pass0.log deleted file mode 100644 index 42dfff16..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_6/mnist-case1-pass0.log +++ /dev/null @@ -1,107 +0,0 @@ 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a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_7/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -209|311|621,611,601,592,577,569,0,0,0,0,0,0,0,0,113,113,115,120,109,43|56.44 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_7/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_7/mnist-case1-pass0.log deleted file mode 100644 index 5f6ccaac..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_7/mnist-case1-pass0.log +++ /dev/null @@ -1,107 +0,0 @@ -0,2.15,0,20,0,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -3,2.83,0,19,1,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.68|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 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deleted file mode 100644 index 42f9708a..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_7/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|209|311|621,611,601,592,577,569,0,0,0,0,0,0,0,0,113,113,115,120,109,43|56.44 -AVG|209|311|N/A|56.44 diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_8/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_8/mnist-case1-pass0.csv deleted file mode 100644 index 6312812e..00000000 --- a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_8/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -190|316|628,616,615,603,585,581,0,0,0,0,0,0,0,0,0,0,0,34,38,113|51.58 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_8/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-OFF-20-1-ON-400-round_8/mnist-case1-pass0.log deleted file 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-AVG|186|298|N/A|52.71 diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_0/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_0/mnist-case1-pass0.csv deleted file mode 100644 index 2d2e1282..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_0/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -447|24|576,563,554,542,531,521,447,455,450,450,464,452,436,353,356,354,353,353,378,366|72.03 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_0/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_0/mnist-case1-pass0.log deleted file mode 100644 index 58d18ea9..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_0/mnist-case1-pass0.log +++ /dev/null @@ -1,166 +0,0 @@ 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-0|447|24|576,563,554,542,531,521,447,455,450,450,464,452,436,353,356,354,353,353,378,366|72.03 -AVG|447|24|N/A|72.03 diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_1/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_1/mnist-case1-pass0.csv deleted file mode 100644 index 20734453..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_1/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -440|59|602,592,582,569,559,557,479,467,463,475,442,346,475,378,455,334,332,334,361,0|73.82 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_1/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_1/mnist-case1-pass0.log deleted file mode 100644 index cb9a780c..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_1/mnist-case1-pass0.log +++ /dev/null @@ -1,166 +0,0 @@ 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-0|440|59|602,592,582,569,559,557,479,467,463,475,442,346,475,378,455,334,332,334,361,0|73.82 -AVG|440|59|N/A|73.82 diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_2/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_2/mnist-case1-pass0.csv deleted file mode 100644 index 49206842..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_2/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -437|31|577,561,548,538,525,518,438,435,431,435,453,438,421,421,340,332,325,341,343,331|70.93 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_2/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_2/mnist-case1-pass0.log deleted file mode 100644 index f8f423b2..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_2/mnist-case1-pass0.log +++ /dev/null @@ -1,172 +0,0 @@ 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-PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|437|31|577,561,548,538,525,518,438,435,431,435,453,438,421,421,340,332,325,341,343,331|70.93 -AVG|437|31|N/A|70.93 diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_3/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_3/mnist-case1-pass0.csv deleted file mode 100644 index 368adeee..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_3/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -402|63|572,559,548,539,527,517,391,391,395,393,397,443,423,397,384,407,380,381,0,0|72.96 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_3/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_3/mnist-case1-pass0.log deleted file mode 100644 index b3c23269..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_3/mnist-case1-pass0.log +++ /dev/null @@ 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a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_4/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -481|32|631,620,612,600,586,577,501,523,499,503,517,489,391,397,401,385,414,327,324,328|74.66 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_4/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_4/mnist-case1-pass0.log deleted file mode 100644 index 999a3cec..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_4/mnist-case1-pass0.log +++ /dev/null @@ -1,178 +0,0 @@ -0,2.15,0,20,0,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -2,2.15,0,20,0,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 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-PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|481|32|631,620,612,600,586,577,501,523,499,503,517,489,391,397,401,385,414,327,324,328|74.66 -AVG|481|32|N/A|74.66 diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-pass0.csv deleted file mode 100644 index 2ffe8f51..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -381|85|570,561,551,542,529,519,444,422,430,320,432,451,442,425,0,0,336,324,0,334|71.59 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-pass0.log deleted file mode 100644 index 7cd940d6..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-pass0.log +++ /dev/null @@ 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a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-result.csv b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-result.csv deleted file mode 100644 index a2377d15..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|381|85|570,561,551,542,529,519,444,422,430,320,432,451,442,425,0,0,336,324,0,334|71.59 -AVG|381|85|N/A|71.59 diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_6/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_6/mnist-case1-pass0.csv deleted file mode 100644 index d12cc5e9..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_6/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -407|67|583,571,564,552,539,533,397,405,392,392,406,394,416,406,414,403,401,389,0,0|72.20 \ No newline at end of file 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-PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|407|67|583,571,564,552,539,533,397,405,392,392,406,394,416,406,414,403,401,389,0,0|72.20 -AVG|407|67|N/A|72.20 diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_7/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_7/mnist-case1-pass0.csv deleted file mode 100644 index 3375a9bc..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_7/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -427|45|575,564,556,541,532,521,446,441,453,448,450,456,434,340,342,349,349,386,0,360|73.53 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_7/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_7/mnist-case1-pass0.log deleted file mode 100644 index 61bc7966..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_7/mnist-case1-pass0.log +++ /dev/null @@ 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a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_8/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -446|38|594,584,570,561,550,541,434,436,453,435,435,459,453,341,339,351,339,356,348,359|71.94 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_8/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_8/mnist-case1-pass0.log deleted file mode 100644 index 4e002d44..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_8/mnist-case1-pass0.log +++ /dev/null @@ -1,183 +0,0 @@ -0,2.15,0,20,0,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 -1,2.15,0,20,0,0,0,0,0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00|0.00 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-0|446|38|594,584,570,561,550,541,434,436,453,435,435,459,453,341,339,351,339,356,348,359|71.94 -AVG|446|38|N/A|71.94 diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_9/mnist-case1-pass0.csv b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_9/mnist-case1-pass0.csv deleted file mode 100644 index 80fd088a..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_9/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -483|28|610,610,608,597,586,576,488,488,464,486,477,486,464,383,375,384,395,415,395,392|71.64 \ No newline at end of file diff --git a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_9/mnist-case1-pass0.log b/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_9/mnist-case1-pass0.log deleted file mode 100644 index e1a9833f..00000000 --- a/doc/edl/experiment/result/case1-mnist-ON-20-1-ON-400-round_9/mnist-case1-pass0.log +++ /dev/null @@ -1,196 +0,0 @@ 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a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case1-pass0.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case1-pass0.csv deleted file mode 100644 index a198cfe8..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -699|1|719,707,704,699,688,681|63.14 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case1-result.csv deleted file mode 100644 index 394654b4..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|699|1|719,707,704,699,688,681|63.14 -AVG|699|1|N/A|63.14 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case2-result.csv deleted file mode 100644 index 4eb91449..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case2-result.csv +++ /dev/null @@ -1,31 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -6|400|11|57.30 -12|400|15|58.71 -18|400|30|63.14 -24|400|45|68.08 -29|400|60|72.98 -40|400|75|77.96 -47|400|90|82.90 -115|309|90|71.27 -121|300|90|70.12 -204|222|90|60.16 -208|207|90|58.24 -213|201|90|57.47 -218|200|90|57.35 -298|189|90|55.94 -302|107|90|45.46 -309|103|90|44.95 -317|100|90|44.57 -390|149|90|50.83 -397|200|90|57.35 -483|227|90|60.80 -489|300|90|70.12 -577|389|90|81.50 -582|400|90|82.90 -705|296|90|69.61 -711|190|90|56.07 -715|78|90|41.76 -719|6|90|32.56 -722|3|90|32.18 -725|1|41|19.61 -728|0|0|4.41 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case2.log b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_0/mnist-case2.log 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mode 100644 index 4d891eff..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_2/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|702|1|717,712,707,702,691,685|62.23 -AVG|702|1|N/A|62.23 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_2/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_2/mnist-case2-result.csv deleted file mode 100644 index 5cc64f77..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_2/mnist-case2-result.csv +++ /dev/null @@ -1,32 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -5|400|0|53.26 -10|400|15|58.20 -15|400|23|61.65 -20|400|30|63.14 -24|400|45|68.08 -29|400|55|71.74 -34|400|60|73.02 -40|400|75|77.96 -46|400|88|82.47 -52|400|90|82.90 -113|388|90|81.37 -118|301|90|70.25 -125|300|90|70.12 -205|237|90|62.07 -210|204|90|57.86 -215|200|90|57.35 -295|141|90|49.81 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a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_3/mnist-case1-pass0.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_3/mnist-case1-pass0.csv deleted file mode 100644 index 20db9878..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_3/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -705|0|726,715,706,701,695,688|63.08 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_3/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_3/mnist-case1-result.csv deleted file mode 100644 index 8cd8ffb9..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_3/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|705|0|726,715,706,701,695,688|63.08 -AVG|705|0|N/A|63.08 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_3/mnist-case2-result.csv 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+++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|702|2|722,714,708,697,695,681|62.93 -AVG|702|2|N/A|62.93 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_4/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_4/mnist-case2-result.csv deleted file mode 100644 index 1a732531..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_4/mnist-case2-result.csv +++ /dev/null @@ -1,32 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -5|400|0|53.26 -9|400|15|58.20 -17|400|30|63.14 -23|400|34|64.67 -28|400|45|68.08 -34|400|60|73.02 -39|400|70|76.85 -45|400|75|77.96 -53|400|90|82.90 -114|387|90|81.24 -119|308|90|71.15 -124|302|90|70.38 -131|300|90|70.12 -213|235|90|61.82 -217|205|90|57.99 -221|201|90|57.47 -229|200|90|57.35 -303|191|90|56.20 -310|104|90|45.08 -315|100|90|44.57 -400|200|90|57.35 -492|300|90|70.12 -583|381|90|80.47 -591|400|90|82.90 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a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -701|2|715,715,705,699,687,685|62.37 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case1-result.csv deleted file mode 100644 index 923c83ed..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|701|2|715,715,705,699,687,685|62.37 -AVG|701|2|N/A|62.37 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case2-result.csv deleted file mode 100644 index ffdde3ca..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case2-result.csv +++ /dev/null @@ -1,31 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -8|400|0|54.11 -14|400|16|59.09 -19|400|30|63.14 -24|400|45|68.08 -30|400|58|72.55 -36|400|60|74.55 -42|400|75|77.96 -47|400|90|82.90 -112|328|90|73.70 -118|301|90|70.25 -123|300|90|70.12 -203|291|90|68.97 -209|203|90|57.73 -215|201|90|57.47 -220|200|90|57.35 -299|101|90|44.70 -303|100|90|44.57 -387|151|90|51.09 -393|200|90|57.35 -479|229|90|61.05 -485|300|90|70.12 -578|363|90|78.17 -585|400|90|82.90 -710|355|90|77.15 -714|122|90|47.38 -718|36|90|36.39 -721|10|90|33.07 -725|5|81|30.52 -729|0|7|9.39 -732|0|0|3.68 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case2.log b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case2.log deleted file mode 100644 index 262a70bf..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_6/mnist-case2.log +++ /dev/null @@ -1,133 +0,0 @@ -8,54.11,0,5,1,0,0,400,0|0|0|0|0|0,0.85|0.00|0.00|0.00|0.00|0.00 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-740,2.15,0,0,0,0,0,0,0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_7/mnist-case1-pass0.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_7/mnist-case1-pass0.csv deleted file mode 100644 index c0a57e73..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_7/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -701|2|719,714,703,698,691,683|62.74 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_7/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_7/mnist-case1-result.csv deleted file mode 100644 index 0a801f13..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_7/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|701|2|719,714,703,698,691,683|62.74 -AVG|701|2|N/A|62.74 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_7/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_7/mnist-case2-result.csv deleted file mode 100644 index 6747d73f..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_7/mnist-case2-result.csv +++ /dev/null @@ -1,32 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -5|400|0|53.26 -10|400|15|58.20 -15|400|24|61.82 -20|400|30|63.14 -26|400|45|68.08 -31|400|60|73.02 -38|400|63|75.36 -44|400|75|77.96 -49|400|90|82.90 -117|307|90|71.02 -122|300|90|70.12 -210|204|90|57.86 -215|201|90|57.47 -220|200|90|57.35 -299|115|90|46.49 -304|104|90|45.08 -312|100|90|44.57 -391|148|90|50.70 -396|200|90|57.35 -487|278|90|67.31 -492|300|90|70.12 -581|399|90|82.77 -588|400|90|82.90 -703|384|90|80.86 -708|273|90|66.67 -713|170|90|53.51 -717|78|90|41.76 -722|13|90|33.45 -726|4|83|30.81 -729|0|1|5.73 -732|0|0|3.77 diff --git 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b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_8/mnist-case1-result.csv deleted file mode 100644 index e02cc618..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_8/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|700|3|720,715,702,696,691,679|62.93 -AVG|700|3|N/A|62.93 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_8/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_8/mnist-case2-result.csv deleted file mode 100644 index 0838d53f..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_8/mnist-case2-result.csv +++ /dev/null @@ -1,30 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -9|400|11|57.30 -14|400|29|62.88 -21|400|30|63.48 -27|400|45|68.08 -33|400|60|73.02 -38|400|74|77.75 -44|400|75|78.30 -50|400|90|82.90 -112|399|90|82.77 -117|305|90|70.76 -123|301|90|70.25 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TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|701|1|721,711,706,696,690,685|63.07 -AVG|701|1|N/A|63.07 diff --git a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_9/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_9/mnist-case2-result.csv deleted file mode 100644 index e867740a..00000000 --- a/doc/edl/experiment/result/case2-mnist-OFF-6-1-ON-400-round_9/mnist-case2-result.csv +++ /dev/null @@ -1,30 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -6|400|11|57.30 -11|400|15|58.54 -16|400|30|63.14 -21|400|44|67.82 -26|400|45|68.59 -31|400|60|73.02 -37|400|74|77.70 -45|400|76|79.20 -51|400|90|82.90 -116|360|90|77.79 -122|305|90|70.76 -129|300|90|70.12 -209|225|90|60.54 -214|206|90|58.11 -219|200|90|57.35 -301|132|90|48.66 -307|104|90|45.08 -311|100|90|44.57 -393|184|90|55.30 -400|200|90|57.35 -489|300|90|70.12 -580|400|90|82.90 -704|310|90|71.40 -709|198|90|57.09 -714|99|90|44.44 -718|18|90|34.09 -723|3|90|32.18 -727|0|9|9.48 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a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_0/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|33|9|71,69,62,0,0,0|75.69 -AVG|33|9|N/A|75.69 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_0/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_0/mnist-case2-result.csv deleted file mode 100644 index 299afa40..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_0/mnist-case2-result.csv +++ /dev/null @@ -1,67 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -2|400|0|53.26 -6|400|15|58.16 -12|400|27|62.46 -15|400|71|71.87 -19|400|90|77.28 -22|400|127|85.54 -65|400|125|88.14 -99|400|96|82.30 -103|400|97|82.69 -107|400|117|88.14 -110|328|117|78.94 -114|304|117|75.87 -117|303|117|75.75 -121|300|117|75.36 -138|300|115|74.94 -145|300|147|81.75 -149|300|160|84.52 -153|300|172|87.07 -185|300|161|85.24 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b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_1/mnist-case1-pass0.csv deleted file mode 100644 index 76a21e2a..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_1/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -662|38|716,710,701,663,564,622|78.52 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_1/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_1/mnist-case1-result.csv deleted file mode 100644 index 44956414..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_1/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|662|38|716,710,701,663,564,622|78.52 -AVG|662|38|N/A|78.52 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_1/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_1/mnist-case2-result.csv deleted file 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b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_2/mnist-case1-result.csv deleted file mode 100644 index 0992af9f..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_2/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|674|29|717,708,706,665,629,623|79.19 -AVG|674|29|N/A|79.19 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_2/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_2/mnist-case2-result.csv deleted file mode 100644 index 2c5868c4..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_2/mnist-case2-result.csv +++ /dev/null @@ -1,81 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -2|400|0|53.26 -5|400|15|58.16 -11|400|28|62.67 -14|400|74|72.51 -18|400|75|73.91 -21|400|119|83.84 -25|400|127|85.54 -58|400|122|87.50 -62|400|127|88.57 -99|400|90|80.69 -107|400|105|85.58 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index c369902c..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_3/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -673|22|703,699,696,660,658,625|78.61 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_3/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_3/mnist-case1-result.csv deleted file mode 100644 index 3613ec29..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_3/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|673|22|703,699,696,660,658,625|78.61 -AVG|673|22|N/A|78.61 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_3/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_3/mnist-case2-result.csv deleted file mode 100644 index c51e4126..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_3/mnist-case2-result.csv +++ /dev/null @@ -1,72 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -4|400|4|54.79 -8|400|20|59.26 -11|400|74|72.51 -16|400|85|76.55 -21|400|126|85.67 -51|400|124|88.10 -55|400|121|87.46 -59|400|124|88.44 -95|400|79|78.85 -99|351|92|75.36 -102|307|92|69.74 -105|305|92|69.49 -109|301|106|71.96 -113|300|148|80.77 -142|300|158|82.90 -146|300|179|87.37 -151|300|174|86.31 -155|300|179|89.08 -177|300|174|88.01 -181|300|176|88.44 -186|300|179|89.08 -190|288|179|87.54 -194|206|179|77.07 -198|202|179|76.55 -202|201|189|78.56 -206|200|201|80.98 -210|200|203|81.41 -283|139|208|74.68 -286|106|212|71.32 -290|101|252|79.20 -294|100|258|80.35 -298|100|259|80.56 -373|152|259|87.20 -377|177|259|90.40 -406|187|253|90.40 -410|189|253|90.65 -439|189|222|84.05 -447|189|228|85.33 -451|189|248|89.59 -455|189|253|90.65 -492|189|251|90.23 -496|190|251|90.35 -501|193|251|90.74 -526|193|177|74.98 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a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_4/mnist-case1-pass0.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_4/mnist-case1-pass0.csv deleted file mode 100644 index 845bcb84..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_4/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -643|62|722,716,710,516,571,626|79.89 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_4/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_4/mnist-case1-result.csv deleted file mode 100644 index a302c46c..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_4/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|643|62|722,716,710,516,571,626|79.89 -AVG|643|62|N/A|79.89 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_4/mnist-case2-result.csv 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a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_5/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|688|21|725,719,714,669,671,632|80.26 -AVG|688|21|N/A|80.26 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_5/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_5/mnist-case2-result.csv deleted file mode 100644 index 7d65d83e..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_5/mnist-case2-result.csv +++ /dev/null @@ -1,61 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -6|400|8|56.67 -11|400|15|58.20 -16|400|74|72.51 -21|400|85|76.55 -27|400|130|86.18 -66|400|104|82.65 -73|400|119|87.37 -106|400|115|87.54 -112|400|92|83.33 -120|309|106|74.68 -129|302|153|83.80 -136|300|153|83.54 -153|300|158|84.60 -159|300|168|86.73 -165|300|170|87.16 -199|300|169|86.95 -214|211|169|75.58 -220|200|195|79.71 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a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_6/mnist-case1-pass0.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_6/mnist-case1-pass0.csv deleted file mode 100644 index 7dee5827..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_6/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -640|70|728,723,706,518,538,628|80.71 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_6/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_6/mnist-case1-result.csv deleted file mode 100644 index a8ba086d..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_6/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|640|70|728,723,706,518,538,628|80.71 -AVG|640|70|N/A|80.71 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_6/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_6/mnist-case2-result.csv deleted file mode 100644 index 745b604a..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_6/mnist-case2-result.csv +++ /dev/null @@ -1,41 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -5|400|0|53.43 -9|400|15|58.20 -14|400|38|64.63 -19|400|75|72.72 -25|400|98|79.32 -31|400|127|85.54 -76|400|125|88.14 -109|400|102|83.75 -116|400|116|87.93 -123|307|119|76.68 -130|300|126|77.28 -154|300|132|78.56 -160|300|172|87.07 -194|300|156|84.18 -203|300|172|87.59 -217|207|172|75.70 -223|200|195|79.71 -241|200|196|79.92 -303|199|196|79.79 -308|109|196|68.29 -315|101|214|71.10 -322|100|260|80.77 -404|174|260|90.23 -438|174|210|79.58 -444|174|245|87.03 -469|194|245|89.59 -476|194|241|88.74 -482|194|242|88.95 -488|194|245|89.59 -525|195|244|89.50 -554|195|232|86.95 -561|289|187|89.37 -569|294|187|90.01 -718|258|187|85.41 -723|182|187|75.70 -728|93|187|64.33 -732|21|173|52.15 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-741,8.33,10,0,0,1,4,3,0|0|0|0|0|10,0.34|0.34|0.17|0.34|0.72|3.88 -744,3.26,0,0,0,0,2,3,0|0|0|0|0|0,0.00|0.00|0.00|0.34|0.21|0.17 -746,2.53,0,0,0,0,1,3,0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00 -750,2.53,0,0,0,0,0,3,0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_7/mnist-case1-pass0.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_7/mnist-case1-pass0.csv deleted file mode 100644 index e30ed917..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_7/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -640|69|726,720,713,518,538,626|81.04 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_7/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_7/mnist-case1-result.csv deleted file mode 100644 index eef07c05..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_7/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|640|69|726,720,713,518,538,626|81.04 -AVG|640|69|N/A|81.04 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_7/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_7/mnist-case2-result.csv deleted file mode 100644 index c08b8fe5..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_7/mnist-case2-result.csv +++ /dev/null @@ -1,34 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -5|400|0|53.43 -10|400|15|58.20 -16|400|66|70.76 -21|400|75|72.72 -27|400|130|86.18 -77|400|128|88.10 -111|400|99|82.26 -117|384|120|86.05 -122|304|129|77.75 -128|300|130|77.45 -150|300|133|78.09 -159|300|172|86.39 -187|300|170|87.16 -194|300|156|84.18 -202|300|172|87.59 -215|251|172|81.32 -222|201|189|78.56 -228|200|189|78.43 -234|200|196|79.92 -241|200|197|80.13 -308|152|197|74.00 -315|104|234|75.75 -321|100|260|80.77 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mode 100644 index 48312cda..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_8/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|607|101|728,716,715,568,294,626|80.37 -AVG|607|101|N/A|80.37 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_8/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_8/mnist-case2-result.csv deleted file mode 100644 index 5173c10c..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_8/mnist-case2-result.csv +++ /dev/null @@ -1,45 +0,0 @@ -TIME|NGINX PODS|RUNNING TRAINERS|CLUSTER CPU UTILS -5|400|0|53.26 -9|400|15|58.20 -14|400|50|65.65 -20|400|60|67.78 -25|400|94|76.77 -30|400|129|85.92 -85|400|127|87.88 -110|400|99|82.43 -116|400|69|76.04 -122|400|84|80.43 -128|311|126|78.00 -137|300|174|86.82 -169|300|170|85.97 -177|300|174|88.01 -211|300|173|87.80 -218|247|173|81.03 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b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_9/mnist-case1-pass0.csv deleted file mode 100644 index e0aac9f6..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_9/mnist-case1-pass0.csv +++ /dev/null @@ -1 +0,0 @@ -663|70|725,725,722,529,556,725|66.37 \ No newline at end of file diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_9/mnist-case1-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_9/mnist-case1-result.csv deleted file mode 100644 index 837f6671..00000000 --- a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_9/mnist-case1-result.csv +++ /dev/null @@ -1,3 +0,0 @@ -PASS|AVG RUNNING TIME|AVG PENDING TIME|JOB RUNNING TIME|AVG CLUSTER CPU UTILS -0|663|70|725,725,722,529,556,725|66.37 -AVG|663|70|N/A|66.37 diff --git a/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_9/mnist-case2-result.csv b/doc/edl/experiment/result/case2-mnist-ON-6-1-ON-400-round_9/mnist-case2-result.csv deleted file 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-631,84.90,154,0,0,6,0,309,41|2|40|41|28|2,10.48|2.17|10.26|10.48|7.71|2.17 -639,86.18,157,0,0,6,0,314,41|2|41|42|28|3,10.48|2.17|10.48|10.69|7.71|2.39 -646,86.18,157,0,0,6,0,314,2|24|41|42|28|20,2.17|6.86|10.48|10.69|7.71|6.01 -651,89.72,164,0,0,6,0,330,2|25|41|42|28|26,2.17|7.07|10.48|10.69|7.71|7.28 -657,89.72,164,0,0,6,0,330,2|25|41|42|28|26,2.17|7.07|10.48|10.69|7.71|7.28 -664,89.29,162,0,0,6,0,330,2|25|41|42|26|26,2.17|7.07|10.48|10.69|7.28|7.28 -670,88.86,160,0,0,6,0,330,2|25|40|41|26|26,2.17|7.07|10.26|10.48|7.28|7.28 -678,88.86,160,0,0,6,0,330,2|25|40|41|26|26,2.17|7.07|10.26|10.48|7.28|7.28 -684,87.16,152,0,0,6,0,330,5|20|40|41|26|20,2.81|6.01|10.26|10.48|7.28|6.01 -691,88.22,157,0,0,6,0,330,10|20|40|41|26|20,3.88|6.01|10.26|10.48|7.28|6.01 -698,88.22,157,0,0,6,0,330,10|20|40|41|26|20,3.88|6.01|10.26|10.48|7.28|6.01 -704,86.52,149,0,0,6,0,330,10|20|37|38|24|20,3.88|6.01|9.63|9.84|6.86|6.01 -710,89.29,156,0,0,6,0,340,10|20|42|38|26|20,3.88|6.01|10.69|9.84|7.28|6.01 -716,89.29,156,0,0,6,0,340,10|20|42|38|26|20,3.88|6.01|10.69|9.84|7.28|6.01 -724,88.65,153,0,0,6,0,340,9|19|42|38|26|19,3.66|5.79|10.69|9.84|7.28|5.79 -730,81.37,153,0,0,6,0,283,9|18|42|38|26|20,3.66|5.58|10.69|9.84|7.28|6.01 -736,65.01,143,0,0,5,1,181,0|17|42|38|26|20,0.55|5.37|10.69|9.84|7.28|6.01 -741,47.68,124,0,0,4,2,92,0|0|41|38|25|20,0.00|0.38|10.48|9.84|7.07|6.01 -745,33.11,102,0,0,4,0,16,0|0|20|37|25|20,0.00|0.21|6.01|9.63|7.07|6.01 -749,18.93,49,0,0,3,1,6,0|0|0|4|25|20,0.00|0.00|0.51|2.43|7.07|6.01 -754,5.09,3,0,0,1,3,0,0|0|0|0|0|3,0.00|0.00|0.34|0.00|0.21|2.39 -758,2.53,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.38 -762,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -764,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -767,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -770,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -773,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -776,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -780,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -786,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -790,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -792,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -795,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -798,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -800,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -802,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -805,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -808,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -811,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -814,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -817,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -820,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -823,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -826,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -829,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -831,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -835,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -839,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -842,2.36,1,0,0,1,0,0,0|0|0|0|0|1,0.00|0.00|0.00|0.00|0.00|0.21 -844,2.15,0,0,0,0,0,0,0|0|0|0|0|0,0.00|0.00|0.00|0.00|0.00|0.00 diff --git a/doc/edl/experiment/result/case2.png b/doc/edl/experiment/result/case2.png deleted file mode 100644 index 76d319ae..00000000 Binary files a/doc/edl/experiment/result/case2.png and /dev/null differ diff --git a/doc/edl/experiment/result/plot/plot.go b/doc/edl/experiment/result/plot/plot.go deleted file mode 100644 index a8d2113a..00000000 --- a/doc/edl/experiment/result/plot/plot.go +++ /dev/null @@ -1,432 +0,0 @@ -package main - -import ( - "bufio" - "bytes" - "flag" - "fmt" - "image/color" - "io/ioutil" - "os" - "path/filepath" - "strconv" - "strings" - - "gonum.org/v1/plot" - "gonum.org/v1/plot/plotter" - "gonum.org/v1/plot/vg" - "gonum.org/v1/plot/vg/draw" - "gonum.org/v1/plot/vg/vgimg" - - colorful "github.com/lucasb-eyer/go-colorful" -) - -type job struct { - caseNumber int - autoscaling bool - trainerCount int -} - -type row struct { - timestamp int - cpuUtil float64 - runningTrainerCount int - notExistJobCount int - pendingJobCount int - runningJobCount int - doneJobCount int - nginxCount int - jobRunningTrainerCounts []int - jobCPUUtils []float64 -} - -type jobCase []row - -func parseJobCase(path string) (j jobCase) { - b, err := ioutil.ReadFile(path) - if err != nil { - panic(err) - } - - idx := 0 - s := bufio.NewScanner(bytes.NewReader(b)) - ts := 0 - for s.Scan() { - var r row - ss := strings.Split(s.Text(), ",") - r.timestamp, err = strconv.Atoi(ss[0]) - if err != nil { - panic(err) - } - - if r.timestamp < ts { - continue - } - ts = r.timestamp - - r.cpuUtil, err = strconv.ParseFloat(ss[1], 64) - if err != nil { - panic(err) - } - - r.runningTrainerCount, err = strconv.Atoi(ss[2]) - if err != nil { - panic(err) - } - - r.notExistJobCount, err = strconv.Atoi(ss[3]) - if err != nil { - panic(err) - } - - r.pendingJobCount, err = strconv.Atoi(ss[4]) - if err != nil { - panic(err) - } - - r.runningJobCount, err = strconv.Atoi(ss[5]) - if err != nil { - panic(err) - } - - r.doneJobCount, err = strconv.Atoi(ss[6]) - if err != nil { - panic(err) - } - - r.nginxCount, err = strconv.Atoi(ss[7]) - if err != nil { - panic(err) - } - - cur := 8 - remain := len(ss) - cur - trainerCount := remain / 2 - if remain != trainerCount*2 { - panic(fmt.Errorf("unrecognized row at %s:%d", path, idx)) - } - - r.jobRunningTrainerCounts = make([]int, trainerCount) - r.jobCPUUtils = make([]float64, trainerCount) - - for i := range r.jobRunningTrainerCounts { - c, err := strconv.ParseFloat(ss[cur], 64) - if err != nil { - panic(err) - } - r.jobRunningTrainerCounts[i] = int(c) - - cur++ - } - - for i := range r.jobCPUUtils { - r.jobCPUUtils[i], err = strconv.ParseFloat(ss[cur], 64) - if err != nil { - panic(err) - } - - cur++ - } - - j = append(j, r) - idx++ - } - - return -} - -func parseJob(path string) job { - j := job{} - s := strings.Split(path, "/") - folder := s[len(s)-2] - - s = strings.Split(folder, "-") - switch s[0] { - case "case1": - j.caseNumber = 1 - case "case2": - j.caseNumber = 2 - default: - panic(fmt.Errorf("could not recognize file path: %s", path)) - } - - switch s[2] { - case "OFF": - j.autoscaling = false - case "ON": - j.autoscaling = true - default: - panic(fmt.Errorf("could not recognize file path: %s", path)) - } - - count, err := strconv.Atoi(s[3]) - if err != nil { - panic(err) - } - - j.trainerCount = count - return j -} - -type present func(c jobCase) plotter.XYs - -func casesToPoints(p present, c []jobCase) []plotter.XYs { - r := make([]plotter.XYs, len(c)) - for i := range r { - r[i] = p(c[i]) - } - return r -} - -func runningTrainerCount(c jobCase) plotter.XYs { - r := make(plotter.XYs, len(c)) - for i, row := range c { - r[i].X = float64(row.timestamp) - r[i].Y = float64(row.runningTrainerCount) - } - - return r -} - -func clusterUtil(c jobCase) plotter.XYs { - r := make(plotter.XYs, len(c)) - for i, row := range c { - r[i].X = float64(row.timestamp) - r[i].Y = row.cpuUtil - } - - return r -} - -func pendingJobs(c jobCase) plotter.XYs { - r := make(plotter.XYs, len(c)) - for i, row := range c { - r[i].X = float64(row.timestamp) - r[i].Y = float64(row.pendingJobCount) - } - - return r -} - -func nginxCount(c jobCase) plotter.XYs { - r := make(plotter.XYs, len(c)) - for i, row := range c { - r[i].X = float64(row.timestamp) - r[i].Y = float64(row.nginxCount) - } - - return r -} - -func doPlot(p *plot.Plot, caseOn, caseOff []jobCase, pre present) { - pts := casesToPoints(pre, caseOn) - for i := range pts { - l, err := plotter.NewLine(pts[i]) - if err != nil { - panic(err) - } - l.LineStyle.Width = vg.Points(1) - l.LineStyle.Color = colorful.HappyColor() - l.LineStyle.Dashes = []vg.Length{vg.Points(5), vg.Points(5)} - - p.Add(l) - - if i == 0 { - legendLine, err := plotter.NewLine(pts[i]) - if err != nil { - panic(err) - } - legendLine.LineStyle.Width = vg.Points(1) - legendLine.LineStyle.Color = color.Black - legendLine.LineStyle.Dashes = []vg.Length{vg.Points(5), vg.Points(5)} - p.Legend.Add(fmt.Sprintf("autoscaling-on"), legendLine) - } - if err != nil { - panic(err) - } - } - - pts = casesToPoints(pre, caseOff) - for i := range pts { - l, err := plotter.NewLine(pts[i]) - if err != nil { - panic(err) - } - l.LineStyle.Width = vg.Points(1) - l.LineStyle.Color = getOffColor() - - p.Add(l) - - if i == 0 { - legendLine, err := plotter.NewLine(pts[i]) - if err != nil { - panic(err) - } - legendLine.LineStyle.Width = vg.Points(1) - legendLine.LineStyle.Color = color.Black - p.Legend.Add(fmt.Sprintf("autoscaling-off"), legendLine) - } - - if err != nil { - panic(err) - } - } -} - -func getOffColor() color.Color { - c := colorful.HappyColor() - r, g, b := c.RGB255() - return color.NRGBA{r, g, b, 0x7f} -} - -var ( - case1On = job{caseNumber: 1, autoscaling: true, trainerCount: 20} - case1Off = job{caseNumber: 1, autoscaling: false, trainerCount: 20} - case2On = job{caseNumber: 2, autoscaling: true, trainerCount: 6} - case2Off = job{caseNumber: 2, autoscaling: false, trainerCount: 6} -) - -func main() { - pattern := flag.String("pattern", "", "input files") - flag.Parse() - - matches, err := filepath.Glob(*pattern) - if err != nil { - panic(err) - } - - if len(matches) == 0 { - panic("no file matched from pattern") - } - - cases := make(map[job][]jobCase) - - for _, path := range matches { - j := parseJob(path) - c := parseJobCase(path) - cases[j] = append(cases[j], c) - } - - plots := make([][]*plot.Plot, 2) - - p, err := plot.New() - if err != nil { - panic(err) - } - p.Title.Text = "Compare the pending jobs and CPU utilization when the cluster is full" - p.X.Min = 0 - p.X.Max = 600 - p.Y.Label.Text = "number of pending jobs" - p.Y.Min = 0 - p.Y.Max = 16 - p.Add(plotter.NewGrid()) - doPlot(p, cases[case1On], cases[case1Off], pendingJobs) - plots[0] = []*plot.Plot{p} - - p, err = plot.New() - if err != nil { - panic(err) - } - - p.X.Min = 0 - p.X.Max = 600 - p.Y.Label.Text = "CPU utilization (percentage)" - p.Y.Min = 0 - p.Y.Max = 100 - p.Add(plotter.NewGrid()) - doPlot(p, cases[case1On], cases[case1Off], clusterUtil) - plots[1] = []*plot.Plot{p} - p.X.Label.Text = `time (s) -each line is one pass of the experiment, 20 passes total -` - - img := vgimg.New(8*vg.Inch, 8*2/3*vg.Inch) - dc := draw.New(img) - t := draw.Tiles{ - Rows: 2, - Cols: 1, - } - canvases := plot.Align(plots, t, dc) - plots[0][0].Draw(canvases[0][0]) - plots[1][0].Draw(canvases[1][0]) - - w, err := os.Create("case1.png") - if err != nil { - panic(err) - } - - plots = make([][]*plot.Plot, 3) - png := vgimg.PngCanvas{Canvas: img} - _, err = png.WriteTo(w) - if err != nil { - panic(err) - } - w.Close() - - p, err = plot.New() - if err != nil { - panic(err) - } - p.Title.Text = "Compare the change of trainer count and CPU utilization when Nginx pod count changes" - p.X.Min = 0 - p.X.Max = 600 - p.Y.Label.Text = "number of Nginx pods" - p.Y.Min = 0 - p.Y.Max = 420 - p.Add(plotter.NewGrid()) - doPlot(p, cases[case2On], cases[case2Off], nginxCount) - plots[0] = []*plot.Plot{p} - - p, err = plot.New() - if err != nil { - panic(err) - } - - p.X.Min = 0 - p.X.Max = 600 - p.Y.Label.Text = "number of trainer pods" - p.Y.Min = 0 - p.Y.Max = 300 - p.Add(plotter.NewGrid()) - doPlot(p, cases[case2On], cases[case2Off], runningTrainerCount) - plots[1] = []*plot.Plot{p} - - p, err = plot.New() - if err != nil { - panic(err) - } - p.X.Label.Text = `time (s) -each line is one pass of the experiment, 20 passes total -` - p.X.Min = 0 - p.X.Max = 600 - p.Y.Label.Text = "CPU utilization (percentage)" - p.Y.Min = 0 - p.Y.Max = 100 - p.Add(plotter.NewGrid()) - doPlot(p, cases[case2On], cases[case2Off], clusterUtil) - plots[2] = []*plot.Plot{p} - - img = vgimg.New(8*vg.Inch, 8*vg.Inch) - dc = draw.New(img) - t = draw.Tiles{ - Rows: 3, - Cols: 1, - } - canvases = plot.Align(plots, t, dc) - plots[0][0].Draw(canvases[0][0]) - plots[1][0].Draw(canvases[1][0]) - plots[2][0].Draw(canvases[2][0]) - - w, err = os.Create("case2.png") - if err != nil { - panic(err) - } - - png = vgimg.PngCanvas{Canvas: img} - _, err = png.WriteTo(w) - if err != nil { - panic(err) - } - w.Close() -} diff --git a/doc/edl/experiment/result/plot/plot_test.go b/doc/edl/experiment/result/plot/plot_test.go deleted file mode 100644 index 3a4477d5..00000000 --- a/doc/edl/experiment/result/plot/plot_test.go +++ /dev/null @@ -1,63 +0,0 @@ -package main - -import ( - "testing" - - "github.com/stretchr/testify/assert" -) - -func TestParseJob(t *testing.T) { - testCase := []struct { - path string - job job - }{ - { - "../case1-mnist-OFF-20-1-ON-400-round_0/mnist-case1-pass0.log", - job{1, false, 20}, - }, - { - "../case1-mnist-ON-20-1-ON-400-round_0/mnist-case1-pass0.log", - job{1, true, 20}, - }, - { - "../case2-mnist-OFF-6-1-ON-400-round_1/mnist-case2.log", - job{2, false, 6}, - }, - { - "../case2-mnist-ON-6-1-ON-400-round_1/mnist-case2.log", - job{2, true, 6}, - }, - } - - for _, c := range testCase { - assert.Equal(t, c.job, parseJob(c.path)) - } -} - -func TestParseJobs(t *testing.T) { - paths := []string{"../case1-mnist-OFF-20-1-ON-400-round_0/mnist-case1-pass0.log", "../case1-mnist-OFF-20-1-ON-400-round_1/mnist-case1-pass0.log", "../case1-mnist-OFF-20-1-ON-400-round_2/mnist-case1-pass0.log", "../case1-mnist-OFF-20-1-ON-400-round_3/mnist-case1-pass0.log", "../case1-mnist-OFF-20-1-ON-400-round_4/mnist-case1-pass0.log", "../case1-mnist-OFF-20-1-ON-400-round_5/mnist-case1-pass0.log", "../case1-mnist-OFF-20-1-ON-400-round_6/mnist-case1-pass0.log", "../case1-mnist-OFF-20-1-ON-400-round_7/mnist-case1-pass0.log", "../case1-mnist-OFF-20-1-ON-400-round_8/mnist-case1-pass0.log", "../case1-mnist-OFF-20-1-ON-400-round_9/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_0/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_1/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_2/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_3/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_4/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_5/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_6/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_7/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_8/mnist-case1-pass0.log", "../case1-mnist-ON-20-1-ON-400-round_9/mnist-case1-pass0.log", "../case2-mnist-OFF-6-1-ON-400-round_0/mnist-case2.log", "../case2-mnist-OFF-6-1-ON-400-round_1/mnist-case2.log", "../case2-mnist-OFF-6-1-ON-400-round_2/mnist-case2.log", "../case2-mnist-OFF-6-1-ON-400-round_3/mnist-case2.log", "../case2-mnist-OFF-6-1-ON-400-round_4/mnist-case2.log", "../case2-mnist-OFF-6-1-ON-400-round_5/mnist-case2.log", "../case2-mnist-OFF-6-1-ON-400-round_6/mnist-case2.log", "../case2-mnist-OFF-6-1-ON-400-round_7/mnist-case2.log", "../case2-mnist-OFF-6-1-ON-400-round_8/mnist-case2.log", "../case2-mnist-OFF-6-1-ON-400-round_9/mnist-case2.log", "../case2-mnist-ON-6-1-ON-400-round_0/mnist-case2.log", "../case2-mnist-ON-6-1-ON-400-round_1/mnist-case2.log", "../case2-mnist-ON-6-1-ON-400-round_2/mnist-case2.log", "../case2-mnist-ON-6-1-ON-400-round_4/mnist-case2.log", "../case2-mnist-ON-6-1-ON-400-round_5/mnist-case2.log", "../case2-mnist-ON-6-1-ON-400-round_6/mnist-case2.log", "../case2-mnist-ON-6-1-ON-400-round_7/mnist-case2.log", "../case2-mnist-ON-6-1-ON-400-round_8/mnist-case2.log", "../case2-mnist-ON-6-1-ON-400-round_9/mnist-case2.log"} - - // we are good if nothing panics - for _, p := range paths { - parseJob(p) - } -} - -func TestParseJobCase(t *testing.T) { - c := parseJobCase("./test_data/case1.txt") - assert.Equal(t, 3, len(c)) - tc := make([]int, 20) - for i := range tc { - tc[i] = 5 + i - } - cs := make([]float64, 20) - for i := range cs { - cs[i] = float64(i + 1) - } - assert.Equal(t, row{ - 5, 10.88, 33, 19, - 1, 2, 3, 4, - tc, - cs, - }, c[1]) -} diff --git a/doc/edl/experiment/result/plot/preprocess.sh b/doc/edl/experiment/result/plot/preprocess.sh deleted file mode 100755 index 186d21b0..00000000 --- a/doc/edl/experiment/result/plot/preprocess.sh +++ /dev/null @@ -1,9 +0,0 @@ -#!/bin/bash - -hashtable=$(mktemp -d) - -for var in "$@" -do - path="$var.csv" - cat "$var" | tr '|' ',' | awk -F, '{if ($1<=550) {print}}' > "$path" -done diff --git a/doc/edl/experiment/result/plot/test_data/case1.txt b/doc/edl/experiment/result/plot/test_data/case1.txt deleted file mode 100644 index 5142a89a..00000000 --- a/doc/edl/experiment/result/plot/test_data/case1.txt +++ /dev/null @@ -1,3 +0,0 @@ -0,2.15,0,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00 -5,10.88,33,19,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,1.00,2.00,3.00,4.00,5.00,6.00,7.00,8.00,9.00,10.00,11.00,12.00,13.00,14.00,15.00,16.00,17.00,18.00,19.00,20.00 -8,16.67,60,19,0,1,0,0,60,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,14.52,1.00,2.00,3.00,4.00,5.00,6.00,7.00,8.00,9.00,10.00,11.00,12.00,13.00,0.00,0.00,0.00,0.00,0.00,0.00 diff --git a/doc/edl/experiment/run.sh b/doc/edl/experiment/run.sh deleted file mode 100755 index b14d8acf..00000000 --- a/doc/edl/experiment/run.sh +++ /dev/null @@ -1,105 +0,0 @@ -#!/bin/bash -CPU="5" -MEMORY="8Gi" -PSCPU="4" -PSMEMORY="5Gi" -JOB_NAME=${JOB_NAME:-mnist} -JOB_COUNT=${JOB_COUNT:-1} -PASSES=${PASSES:-1} -DETAILS=${DETAILS:-ON} -NGINX_REPLICAS=${NGINX_REPLICAS:-400} -AUTO_SCALING=${AUTO_SCALING:-OFF} - -ACTION=${1} -CASE=${2} - -if [ -z "${TAG-}" ]; then - echo "Must provide TAG environment variable. Exiting...." - exit 1 -fi - -export OUTDIR="./out/$CASE-$JOB_NAME-$AUTO_SCALING-$JOB_COUNT-$PASSES-$DETAILS-$NGINX_REPLICAS-$TAG" -echo "outputing output to folder: $OUTDIR" - -function submit_ft_job() { - paddlecloud submit -jobname $1 \ - -cpu $CPU \ - -gpu 0 \ - -memory $MEMORY \ - -parallelism $2 \ - -pscpu $PSCPU \ - -pservers 10 \ - -psmemory $PSMEMORY \ - -entry "python /root/train_ft.py" \ - -faulttolerant \ - -image registry.baidu.com/paddlepaddle/paddlecloud-job:mnist2 \ - ./mnist - #-entry "python ./train_ft.py train" \ -} - -function print_env() { - echo "JOB_NAME: "$JOB_NAME - echo "JOB_COUNT: "$JOB_COUNT - echo "DETAILS: "$DETAILS - echo "NGINX_REPLICAS: "$NGINX_REPLICAS - echo "AUTO_SCALING: "$AUTO_SCALING - echo "PASSES: "$PASSES -} - -function prepare() { - print_env - # Following https://apple.stackexchange.com/a/193156, - # we need to set the envrionment var for MacOS - if [ $(uname) == "Darwin" ] - then - export PATH=/usr/local/opt/coreutils/libexec/gnubin:$PATH - fi - mkdir -p $OUTDIR > /dev/null -} -function usage() { - echo "Usage: run.sh " - echo " action[required]: str[start|stop], will start or stop all the jobs." - echo " case[required]: str[case1|case2], run or stop the specify case." - echo "env var:" - echo " JOB_COUNT[optional]: int, The number of submiting jobs, defualt is 1." - echo " JOB_NAME[optional]: str, The job name." - echo " NGINX_REPLICAS[optional] int, The replicas of Nginx Deployment, default is 10." - echo " AUTO_SCALING[optional]: str[ON|OFF], whether a auto-scaling training job,\ -default is OFF." - echo " PASSES[optional]: int, The times of the experiment." - echo " DETAILS[optional: str[ON|OFF], print detail monitor information." -} - - - -if [ -z $1 ] || [ -z $2 ]; then - usage - exit 0 -fi - -if [ $CASE == "case1" ]; then - source ./case1.sh -elif [ $CASE == "case2" ]; then - source ./case2.sh -else - usage - exit 0 -fi - - -case $ACTION in - start) - prepare - start - ;; - stop) - prepare - stop - ;; - --help) - usage - ;; - *) - usage - ;; -esac diff --git a/doc/edl/pictures/lifecycle_overall.jpg b/doc/edl/pictures/lifecycle_overall.jpg deleted file mode 100644 index 6ddd1d7a..00000000 Binary files a/doc/edl/pictures/lifecycle_overall.jpg and /dev/null differ diff --git a/doc/edl/pictures/lifecycle_overall.xml b/doc/edl/pictures/lifecycle_overall.xml deleted file mode 100644 index 1956567c..00000000 --- a/doc/edl/pictures/lifecycle_overall.xml +++ /dev/null @@ -1 +0,0 @@ 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\ No newline at end of file diff --git a/doc/edl/pictures/state_machine.jpg b/doc/edl/pictures/state_machine.jpg deleted file mode 100644 index d63594c2..00000000 Binary files a/doc/edl/pictures/state_machine.jpg and /dev/null differ diff --git a/doc/edl/pictures/state_machine.xml b/doc/edl/pictures/state_machine.xml deleted file mode 100644 index cc43cb90..00000000 --- a/doc/edl/pictures/state_machine.xml +++ /dev/null @@ -1 +0,0 @@ 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\ No newline at end of file diff --git a/doc/hostnetwork/hostnetwork.md b/doc/hostnetwork/hostnetwork.md deleted file mode 100644 index 2f080deb..00000000 --- a/doc/hostnetwork/hostnetwork.md +++ /dev/null @@ -1,62 +0,0 @@ -# 背景 - -Kubernetes(k8s)中有使用宿主机网络的需求，比如高性能训练的时候需要使用RDMA，或者有些用户没有容器网络来实现k8s的网络模型。在k8s中，有HostNetwork这个选项，决定pod是否使用宿主机网络。 - -另一方面，HostNetwork可以快速使kubernetes集群运行于RDMA网络或轻量级网络配置环境。而且我们在使用flannel和calico作为k8s底层网络时，遇到一些bug，导致paddle节点直接无法正常通信。这些问题很有可能是开源overlay网络方案自身存在的bug。采用HostNetwork的方案，可以在实现更复杂的overlay network之前作为较稳定的生产环境。 - -PaddlePaddle在使用k8s进行训练的时候，用户的任务可以不依赖容器网络进行训练。只要让pserver与trainer使用HostNetwork，训练任务也能正常运行。但是如果使用HostNetwork，就需要对宿主机的端口资源进行管理，如果端口分配混乱，就有可能造成pod无法启动的情况。同时用户在提交任务时，也不应该关注端口的分配，这种场景下，就需要有一个组件来实现宿主机端口分配，在PaddleCloud发起训练任务时，能为pserver和trainer分配出宿主机端口。 - -# 设计 - -## port manager - -![](portmanager.jpg) - -Port-manager对kubernetes apiserver进行watch与list。对于需要使用HostNetwork的任务进行端口的分配。然后更新资源的配置信息。 - -这里存在两个问题： - -1. 并不是所有的`HostNetwork`任务都需要分配端口，port-manager不应该影响k8s集群正常的运行方式。 - -1. 这些真需要port-manager分配端口的任务，应该在分配完`host port`后才进行调度，执行任务流程。 - - -对于问题1，Port-manager应该不作用于所有使用HostNetwork的job,rc,rs等资源（因为有些用户自己指定了端口）。所以，port-manager可以使用kubernetes的[annotations](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/)功能来确定一个任务是否需要进行端口分配。对于需要使用port-manager来进行宿主机端口分配的replica set，job等，可在其metadata中增加使用port-manager的annotations。 - -例如： - -```yaml -port-manager/hostnetwork: "true" -``` - - -对于问题2，由于用户的训练请求是通过paddle cloud首先传递到了k8s，port-manager是对kubernetes apiserver进行watch与list后才知道有哪些任务需要分配端口。 -这种情况下，就需要在paddle cloud向k8s发起请求后，创建出资源时让k8s暂时先不运行此任务，待完成端口分配后，将宿主机端口信息增加到相关资源的spec中才可以继续运行。 -一种解决方式是可以通过把rs,job中相关的启动pod数量的字段置为0，而将真正的期望的数量写入annotations中： - -例如rc： - -```rc -annotations: - port-manager/rc.replicas: "5" -...... -...... -replicas: 0 -``` - -job: - -``` -annotations: - port-manager/parallelism: "5" -...... -...... -parallelism: 0 -``` - -在port-manager对这些任务分配完端口后，会update相关的宿主机端口，同时把真正需要的replicas、parallelism填入spec中。 - - - - - diff --git a/doc/hostnetwork/portmanager.jpg b/doc/hostnetwork/portmanager.jpg deleted file mode 100644 index 34b0b3d3..00000000 Binary files a/doc/hostnetwork/portmanager.jpg and /dev/null differ diff --git a/doc/howto/build.md b/doc/howto/build.md deleted file mode 100644 index 0d1600b4..00000000 --- a/doc/howto/build.md +++ /dev/null @@ -1,87 +0,0 @@ -# Build Components - -This article contains instructions of build all the components -of PaddlePaddle Cloud and how to pack them into Docker images -so that server-side components can run in the Kubernetes cluster. - -- Server-side components: - - Cloud Server (written in Python, only need to pack to image) - - EDL Controller - - PaddleFS (PFS) Server - - PaddlePaddle Cloud Job runtime Docker image -- Client side component: - - Command line client - -Before starting, you have to setup [Go development environment](https://golang.org/doc/install#install) and install -[glide](https://github.com/Masterminds/glide). - -## Build EDL Controller - -Run the following commands to finish the build: - -```bash -cd go -glide install --strip-vendor -cd go/cmd/edl -go build -``` - -The above step will generate a binary file named `edl` which should -run as a daemon process on the Kubernetes cluster. - - -## Build paddlectl client - -Run the following command to build paddlectl binary. - -```bash -cd go/cmd/paddlectl -go build -``` - -Then file `paddlectl` will be generated under the current directory. - - -# Build Docker Images for Server side - -## EDL Controller Image - -After you've built edl binary, run the following command to build the -corresponding Docker image. - -```bash -cd go/cmd/edl -docker build -t [your image tag] . -``` - -## Cloud Server Image - -This image is used to start the Cloud Server in Kubernetes cluster. To -build, just run: - -```bash -cd python/paddlecloud -docker build -t [your image tag] . -``` - -## PaddleFS (PFS) Server Image - -To build PaddleFS image, just run: - -```bash -cd docker/pfs -sh build.sh -``` - -## Cloud Job runtime Docker image - -To build job runtime image which do the actual cloud job running, run: - -```bash -cd docker -sh build_docker.sh [base paddlepaddle image] [target image] -``` - -- base paddlepaddle image is PaddlePaddle docker runtime image, like - paddlepaddle/paddle:latest-gpu -- target image is the cloud job image name you want to build. diff --git a/doc/howto/deploy.md b/doc/howto/deploy.md deleted file mode 100644 index 1da14b63..00000000 --- a/doc/howto/deploy.md +++ /dev/null @@ -1,146 +0,0 @@ -## Deploy PaddlePaddle Cloud - -### Pre-Requirements -- PaddlePaddle Cloud use Kubernetes as it's backend core, deploy Kubernetes cluster - using [Sextant](https://github.com/k8sp/sextant) or any tool you like. - - -### Run on minikube -Please see [here](https://github.com/PaddlePaddle/cloud/blob/develop/doc/run_on_minikube.md) - -### Run on Kubernetes -- Build Paddle Cloud Docker Image - - ```bash - # build docker image - git clone https://github.com/PaddlePaddle/cloud.git - cd cloud/paddlecloud - docker build -t [your_docker_registry]/pcloud . - # push to registry so that we can submit paddlecloud to kubernetes - docker push [your_docker_registry]/pcloud - ``` - -- We use [volume](https://kubernetes.io/docs/concepts/storage/volumes/) to mount MySQL data - cert files, and settings, in `k8s/` folder we have some samples for how to mount - stand-alone files and settings using [hostpath](https://kubernetes.io/docs/concepts/storage/volumes/#hostpath). Here's - a good tutorial of creating Kubernetes certs: https://coreos.com/kubernetes/docs/latest/getting-started.html - - - create data folder on a Kubernetes node, such as: - - ```bash - mkdir -p /home/pcloud/data/mysql - mkdir -p /home/pcloud/data/certs - ``` - - Copy Kubernetes CA files (ca.pem, ca-key.pem) to `/home/pcloud/data/certs` folder - - Copy Kubernetes admin user key (admin.pem, admin-key.pem) to `/home/pcloud/data/certs` folder (if you don't have it on Kubernetes worker node, you'll find it on Kubernetes master node) - - Optianal: copy CephFS Key file(admin.secret) to `/home/pcloud/data/certs` folder - - Copy `paddlecloud/settings.py` file to `/home/pcloud/data` folder - -- Configure `cloud_deployment.yaml` - - `spec.template.spec.containers[0].volumes` change the `hostPath` which match your data folder. - - `spec.template.spec.nodeSelector.`, edit the value `kubernetes.io/hostname` to host which data folder on.You can use `kubectl get nodes` to list all the Kubernetes nodes. -- Configure `settings.py` - - Add your domain name (or the paddle cloud server's hostname or IP address) to `ALLOWED_HOSTS`. - - Configure `DATACENTERS` to your backend storage, supports CephFS and HostPath currently. - You can use HostPath mode to make use of shared file-systems like "NFS". - If you use something like hostPath, you need to modify the DATACENTERS field in settings.py as follows: - - ``` - DATACENTERS = { - "":{ - "fstype": "hostpath", - "host_path": "/home/pcloud/data/public/", - "mount_path": "/pfs/%s/home/%s/" # mount_path % ( dc, username ) - } - } - ``` - -- Configure `cloud_ingress.yaml` is your Kubernetes cluster is using [ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/) (if you need to use Jupyter notebook, you have to configure the ingress controller) - to proxy HTTP traffics, or you can configure `cloud_service.yaml` to use [NodePort](https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport) - - if using ingress, configure `spec.rules[0].host` to your domain name -- Deploy MySQL on Kubernetes first if you don't have it on your cluster, and modify the MySQL endpoint in settings.py - - `kubectl create -f ./mysql_deployment.yaml` (you need to fill in the nodeselector field with your node's hostname or ip in yaml first) - - `kubectl create -f ./mysql_service.yaml` -- Deploy cloud on Kubernetes - - `kubectl create -f k8s/cloud_deployment.yaml`(you need to fill in the nodeselector field with your node's hostname or IP in yaml first) - - `kubectl create -f k8s/cloud_service.yaml` - - `kubectl create -f k8s/cloud_ingress.yaml`(optional if you don't need Jupyter notebook) - - -To test or visit the website, find out the Kubernetes ingress IP -addresses, or the NodePort. - -Then open your browser and visit `http://`, or -`http://:` - -- Prepare public dataset - - You can create a Kubernetes Job for preparing the public cloud dataset with RecordIO files. You should modify the YAML file as your environment: - - ``, Your cluster datacenter - - ``, Ceph monitor address - ```bash - kubectl create -f k8s/prepare_dataset.yaml - ``` - -### Run locally without docker - -- You still need a kubernetes cluster when try running locally. -- Make sure you have `Python > 2.7.10` installed. -- Python needs to support `OPENSSL 1.2`. To check it out, simply run: - ```python - >>> import ssl - >>> ssl.OPENSSL_VERSION - 'OpenSSL 1.0.2k 26 Jan 2017' - ``` -- Make sure you are using a virtual environment of some sort (e.g. `virtualenv` or -`pyenv`). - -``` -virtualenv paddlecloudenv -# enable the virtualenv -source paddlecloudenv/bin/activate -``` - -To run for the first time, you need to: - -``` -cd paddlecloud -npm install -pip install -r requirements.txt -./manage.py migrate -./manage.py loaddata sites -npm run dev -``` - -Browse to http://localhost:8000/ - -If you are starting the server for the second time, just run: -``` -./manage.py runserver -``` - -### Configure Email Sending -If you want to use `mail` command to send confirmation emails, change the below settings: - -``` -EMAIL_BACKEND = 'django_sendmail_backend.backends.EmailBackend' -``` - -You may need to use `hostNetwork` for your pod when using mail command. - -Or you can use django smtp bindings just refer to https://docs.djangoproject.com/en/1.11/topics/email/ - -## Deploy EDL on Kubernetes Cluster - -[Build EDL and it's Docker image](../build/build_edl_controller.md) first. - -Make sure you have `kubectl` -[configured](https://kubernetes.io/docs/tasks/tools/install-kubectl/) properly -before running the below commands: - -NOTE: `trainingjob_resource.yaml` is only used when you are using EDL with TPR. - -```bash -cd k8s/edl -kubectl create -f trainingjob_resource.yaml -kucectl create -f controller.yaml diff --git a/doc/howto/run_on_minikube.md b/doc/howto/run_on_minikube.md deleted file mode 100644 index c8b4164a..00000000 --- a/doc/howto/run_on_minikube.md +++ /dev/null @@ -1,115 +0,0 @@ -# Run PaddlePaddle Cloud with minikube - -This documentation explains how to run PaddlePaddle Cloud on the development computer using [minikube](https://kubernetes.io/docs/getting-started-guides/minikube/). - -## Steps - -1. Install [minikube and kubectl](https://kubernetes.io/docs/tasks/tools/install-minikube/). - -1. Start a local minikube cluster. The reason we start a 1.6.4 in this case is paddle cloud currently has some dependency on [TPR](https://kubernetes.io/docs/tasks/access-kubernetes-api/extend-api-third-party-resource/), which will be deprecated from 1.7. - - ```bash - minikube start --kubernetes-version v1.6.4 - ``` - - If you can't connect to minikube distribution server,add https_proxy like that: - - ```bash - https_proxy=YOURPROXY:PORT minikube start --kubernetes-version v1.6.4 - ``` -1. Enable ingress addon: - - ``` - minikube addons enable ingress - ``` - -1. Create workspace directory: - - ``` - mkdir $HOME/workspace - ``` - Mount this directory to `/workspce` - ``` - minikube mount $HOME/workspace:/workspace - ``` - - ***Please Note*** : minikube's `mount` might not work properly in Mac. In the other hand, `/Users` directory is automatically mounted to VM's `Users` path by default in Mac, so if you are using Mac, you can skip this step and find workspace directory from `/Users//workspace` in VM instead. - -1. Copy `ca` and generate `admin` certificate： - (We must use `ca` under `~/.minikube` rather than `~/.minikube/certs`.) - - ``` - mkdir $HOME/workspace/certs && cd $HOME/workspace/certs - openssl genrsa -out admin-key.pem 2048 - openssl req -new -key admin-key.pem -out admin.csr -subj "/CN=kube-admin" - openssl x509 -req -in admin.csr -CA ~/.minikube/ca.crt -CAkey ~/.minikube/ca.key \ - -CAcreateserial -out admin.pem -days 365 - cp ~/.minikube/ca.crt . - cp ~/.minikube/ca.key . - ``` - -1. Copy and update PaddlePaddle Cloud configurations: - - In Mac - ``` bash - $WORKSPACE_PATH=$HOME/workspace - ``` - In other OS - - ``` bash - $WORKSPACE_PATH=/workspace - ``` - - ```bash - git clone https://github.com/PaddlePaddle/cloud - cp cloud/k8s/minikube/* $HOME/workspace - sed -i'.bak' -e "s##$WORKSPACE_PATH#g" $HOME/workspace/*.yaml - ``` - -1. Edit `/etc/hosts` and add `$(minikube ip) cloud.testpcloud.org` to it. -1. Start all jobs: - - ``` - kubectl create -f cloud_ingress.yaml - kubectl create -f cloud_service.yaml - kubectl create -f mysql_deployment.yaml - kubectl create -f mysql_service.yaml - kubectl create -f pfs_deployment.yaml - kubectl create -f pfs_service.yaml - kubectl create -f cloud_deployment.yaml - ``` -1. open `cloud.testpcloud.org` in your browser and sign up a user. -1. To interact with PaddlePaddle Cloud instance, you need to use paddlecloud command line tool. Edit command line config file from `~/.paddle/config` like this: - -``` -datacenters: -- name: testpcloud - username: - password: - endpoint: http://cloud.testpcloud.org -current-datacenter: testpcloud -``` - -Now PaddlePaddle Cloud command line is ready to use. - -For further usage, please refer to the doc from [here](https://github.com/PaddlePaddle/cloud/blob/develop/doc/usage_cn.md) (in Chinese), and [here](https://github.com/PaddlePaddle/cloud/blob/develop/doc/usage_en.md) (comming soon) - - -## FAQ -1. There is nothing when open `cloud.testpcloud.org` in browser. - One possible cause is: `default-http-backend` is not ready yet. Run `minikube get po --all-namespaces` to check its status. -If it's stuck at pulling the image, one alternative is to manually download the image and load it with minikube's docker. - - run `kubectrl describe po name --namespace=kube-system` to get docker image uri. - - `docker save > .tar` to save the image to a tar file. You may need to use proxy with this step. - - `minikube ssh` to login to Minikube's command line. - - `docker load < .tar` to load the image to Kubenetes' local docker image repo. - -1. I edited a file in host file system, but it remained unchanged in Minikube virtual machine sometimes. - That might be due to the files cache mechanism of Minikube. You can try to restart the Minikube with `minikube stop` `minikube start --kubernetes-version v1.6.4` to fix it. - -## TODO - -1. Currently the `mysql` docker runs `mysqld` under user `mysql` instead of `root`, which makes it difficult to save `mysql` data to hostpath. - -1. Update TPR to CRD to be able to run on latest kubernetes - diff --git a/doc/tutorial.md b/doc/tutorial.md deleted file mode 100644 index 8d044746..00000000 --- a/doc/tutorial.md +++ /dev/null @@ -1,176 +0,0 @@ -# Getting Started with Submitting Training Jobs - -## Download and Configure paddlectl - -`paddlectl` is a command-line tool that submits distributed training jobs to the paddle cloud. - -- Step1 - - Download `paddlectl` to your system `$PATH` directory, and make it executable by running the command below - - `chmod +x paddlectl` - - Stable `paddlectl` binary can be found from the [Release Page](https://github.com/PaddlePaddle/cloud/releases). - - Or if you wish to try the latest one from our CI, please find the URLs from the table below for different OSs. - - OS | Link - -- | -- - Mac OSX| [paddlecloud.darwin](http://guest:@paddleci.ngrok.io/repository/download/PaddleCloud_Client/.lastSuccessful/paddlecloud.darwin) - Windows| [paddlecloud.exe](http://guest:@paddleci.ngrok.io/repository/download/PaddleCloud_Client/.lastSuccessful/paddlecloud.exe) - Linux | [paddlecloud.x86_64](http://guest:@paddleci.ngrok.io/repository/download/PaddleCloud_Client/.lastSuccessful/paddlecloud.x86_64) - -- Step2 - - Edit the configuration file `~/.paddle/config` (`./paddle\config` - under current user folder for Windows), - `paddlectl` supports adding multi data-center settings and switch between them on the fly. An example configuration is as follows: - - ```bash - datacenters: - - name: production - username: paddlepaddle - password: paddlecloud - endpoint: http://production.paddlecloud.com - - name: experimentation - username: paddlepaddle - password: paddlecloud - endpoint: http://experimentation.paddlecloud.com - current-datacenter: production - ``` - - We suppose you have two data-center's access, one for `production` and another one for - `experimentation`, you can select your current data-center by editing current-datacenter field. - - `username`, `password` and `endpoint` is your credential for accessing the data-center, you will - receive an email with your credential from paddle cloud administrator. - -With completion of the two steps above, execute `paddlectl` command will print the usage: - -```bash -> paddlectl -Usage: paddlecloud - -Subcommands: - commands list all command names - delete Delete the specify resource. - file Simple file operations. - get Print resources - help describe subcommands and their syntax - kill Stop the job. -rm will remove the job from history. - logs Print logs of the job. - registry Add registry secret on paddlecloud. - submit Submit job to PaddlePaddle Cloud. - -Subcommands for PFS: - cp upload or download files - ls List files on PaddlePaddle Cloud - mkdir mkdir directoies on PaddlePaddle Cloud - rm rm files on PaddlePaddle Cloud - - -Use "paddlectl flags" for a list of top-level flags -``` - -## Download the Demo Projects and Try to Submit it - -We prepare some demo projects to help users understanding how to submit -a distributed training job to PaddleCloud, these demo codes are based -on [Paddle Book](https://github.com/Paddlepaddle/book), you can find the -tutorials for each chapter. - -You can fetch the demo code and submit the job with the following command: - -```bash -> mkdir fit_a_line -> cd fit_a_line -> wget https://raw.githubusercontent.com/PaddlePaddle/cloud/develop/demo/fit_a_line/train.py -> cd .. -> paddlecloud submit -jobname fit-a-line -cpu 1 -gpu 1 -parallelism 1 -entry "python train.py train" fit_a_line/ -``` - -Options: - -- `-jobname`, STRING, the job name, you should specify a unique name. -- `-cpu`, INT, CPU cores for each trainer node. -- `-gpu`, INT, GPU cards for each trainer node, - if the cluster doesn't support GPU, please set `-gpu 0`. -- `-parallelism`, INT, the parallelism, means trainer node count. -- `-entry`, STRING, the entry point for the training job. -- `./fit_a_line`, STRING, the local directory including job package. - -**NOTE1**: You can find the complete usage by `paddlectl submit -h`. - -**NOTE2**: Submit the job by different jobnames, so that it does -not conflict with previous job with the same name. - -**NOTE3**: If you want a higher parallelism, you could modify entry point by `-entry "python train.py prepare"`, - to prepare the training data on PFS, and then submit the training job again. - -## Check the Status and Logs - -After submitting the job, you can check all the jobs by `paddlectl get jobs` - -```bash -> paddlectl get jobs -NUM NAME SUCC FAIL START COMP ACTIVE -0 fit-a-line 2017-06-26T08:41:01Z 1 -``` - -- `ACTIVE`, the number for running training node. -- `SUCC`, the number for finished training node. -- `FAIL`, the number for failed training node. - -Then, you can view the logs of a job(only running or finished status) by `paddelctl logs` - -```bash - paddlecloud logs fit-a-line -Test 28, Cost 13.184950 -append file: /pfs/dlnel/public/dataset/uci_housing/train-00000.pickle -append file: /pfs/dlnel/public/dataset/uci_housing/train-00001.pickle -append file: /pfs/dlnel/public/dataset/uci_housing/train-00002.pickle -append file: /pfs/dlnel/public/dataset/uci_housing/train-00003.pickle -append file: /pfs/dlnel/public/dataset/uci_housing/train-00004.pickle -Pass 28, Batch 0, Cost 9.695825 -Pass 28, Batch 100, Cost 14.143484 -Pass 28, Batch 200, Cost 11.380404 -Test 28, Cost 13.184950 -... -``` - -`paddlectl logs` will return the last 10 lines by default, you can also -use `-n ` argument to print the last `` of lines. - -```bash -> paddlecloud logs -n 100 fit-a-line -... -``` - -## Download the Saved Models - -When a training job finished, the output model would be saved on PFS, you can -check and fetch the output models by the following commands: - -```bash -> paddlecloud file ls /pfs/dlnel/home/wuyi05@baidu.com/jobs/fit_a_line/ -train.py -image -output -> paddlecloud file ls /pfs/dlnel/home/wuyi05@baidu.com/jobs/fit_a_line/output/ -pass-0001.tar -... -> paddlecloud file get /pfs/dlnel/home/wuyi05@baidu.com/jobs/fit_a_line/output/pass-0001.tar ./ -``` - -## Clean the Training Job - -The following command will clean the training job, after that, you can't check -the logs, but you can find the output from -`/pfs//jobs/`: - -```bash -> paddlectl kill fit-a-line -``` - ---- -More details about the usage: [usage_cn.md](./usage_cn.md) \ No newline at end of file diff --git a/doc/tutorial_cn.md b/doc/tutorial_cn.md deleted file mode 100644 index 6b78d6eb..00000000 --- a/doc/tutorial_cn.md +++ /dev/null @@ -1,172 +0,0 @@ -# 提交第一个训练任务 - ---- - -## 下载并配置paddlectl - -`paddlectl`是提交PaddlePaddleCloud分布式训练任务的命令行工具。 - -- 步骤1 - - 下载`paddlectl`客户端，并将二进制文件拷贝到环境变量 `$PATH` 所指向的目录下，例如 - `/usr/local/bin`, 然后使用命令 `chmod +x /usr/local/bin/paddlectl` 赋予 - 可执行权限。 - - 我们推荐用户优先从[Release Page](https://github.com/PaddlePaddle/cloud/releases)中下载最新 - 版本的客户端，同时您也可以在我们CI系统上下载develop分支最新编译的二进制文件。 - - 操作系统 | 下载链接 - -- | -- - Mac OSX| [paddlecloud.darwin](http://guest:@paddleci.ngrok.io/repository/download/PaddleCloud_Client/.lastSuccessful/paddlecloud.darwin) - Windows| [paddlecloud.exe](http://guest:@paddleci.ngrok.io/repository/download/PaddleCloud_Client/.lastSuccessful/paddlecloud.exe) - Linux | [paddlecloud.x86_64](http://guest:@paddleci.ngrok.io/repository/download/PaddleCloud_Client/.lastSuccessful/paddlecloud.x86_64) - -- 步骤2 - 创建`~/.paddle/config`文件(windows系统创建当前用户目录下的`.paddle\config`文件)，下面是示例文件： - - ```bash - datacenters: - - name: production - username: paddlepaddle - password: paddlecloud - endpoint: http://production.paddlecloud.com - - name: experimentation - username: paddlepaddle - password: paddlecloud - endpoint: http://experimentation.paddlecloud.com - current-datacenter: production - ``` - - 假设您有两个data-center的权限，其中一个是 `production`, 另外一个是 `experimentation`, - 您可以通过 `current-datacenter` 字段来指定当前使用哪以为data-center. - - `username`, `password` 和 `endpoint` 字段是您在data-center中的认证信息，这些信息会包含在 - 管理员发给您的邮件中。 - -以上两步骤完成后，执行 `paddelctl` 可以打印出帮助信息： - -```bash -> paddlectl -Usage: paddlecloud - -Subcommands: - commands list all command names - delete Delete the specify resource. - file Simple file operations. - get Print resources - help describe subcommands and their syntax - kill Stop the job. -rm will remove the job from history. - logs Print logs of the job. - registry Add registry secret on paddlecloud. - submit Submit job to PaddlePaddle Cloud. - -Subcommands for PFS: - cp upload or download files - ls List files on PaddlePaddle Cloud - mkdir mkdir directoies on PaddlePaddle Cloud - rm rm files on PaddlePaddle Cloud - - -Use "paddlecloud flags" for a list of top-level flags -``` - -## 下载Demo代码并尝试提交任务 - -我们准备了一些样例代码帮助理解集群训练任务的提交方法，这些示例代码都是基于 -[Paddle Book](https://github.com/PaddlePaddle/book) 编写的， 您可以在每个章节中找到说明文档。 - -您可以使用下面命令获取Demo代码并提交任务： - -```bash -> mkdir fit_a_line -> cd fit_a_line -> wget https://raw.githubusercontent.com/PaddlePaddle/cloud/develop/demo/fit_a_line/train.py -> cd .. -> paddlecloud submit -jobname fit-a-line -cpu 1 -gpu 1 -parallelism 1 -entry "python train.py train" fit_a_line/ -``` - -参数说明： - -- `-jobname`, STRING，任务名称，您需要指定一个唯一的任务名字。 -- `-cpu`, INT，Trainer节点使用的CPU核心数。 -- `-gpu 1`, INT，使用的GPU资源（卡数），若集群无GPU资源，可以去掉这个配置 -- `-parallelism`, INT, 并行度， 训练节点的个数。 -- `-entry`, STRING, 训练脚本的启动命令。 -- `fit_a_line` STRING, 任务程序目录。 - -***说明1：*** 如果希望查看完整的任务提交参数说明，可以执行`paddlecloud submit -h`。 - -***说明2：*** 每个任务推荐使用不同的jobname提交，这样之前的任务的代码和执行结果都会保存在云端。 - -***说明3：*** 如果提交的节点比较多，可以先修改启动命令中的参数`-entry "python train.py prepare"`，先将数据集下载到PFS上，再提交训练任务。 - -## 查看任务运行状态和日志 - -任务启动之后，可以用过命令`paddlecloud get jobs`查看正在运行的任务： - -```bash -> paddlecloud get jobs -NUM NAME SUCC FAIL START COMP ACTIVE -0 fit-a-line 2017-06-26T08:41:01Z 1 -``` - -- `ACTIVE`, 正在运行的节点数量。 -- `SUCC`，运行结束并成功的节点数量。 -- `FAIL`，运行失败的节点数量。 - -然后，使用下面的命令可以查看正在运行或完成运行任务的日志： - -```bash - paddlecloud logs fit-a-line -Test 28, Cost 13.184950 -append file: /pfs/dlnel/public/dataset/uci_housing/train-00000.pickle -append file: /pfs/dlnel/public/dataset/uci_housing/train-00001.pickle -append file: /pfs/dlnel/public/dataset/uci_housing/train-00002.pickle -append file: /pfs/dlnel/public/dataset/uci_housing/train-00003.pickle -append file: /pfs/dlnel/public/dataset/uci_housing/train-00004.pickle -Pass 28, Batch 0, Cost 9.695825 -Pass 28, Batch 100, Cost 14.143484 -Pass 28, Batch 200, Cost 11.380404 -Test 28, Cost 13.184950 -... -# logs命令默认返回10条末尾的日志，如果需要查看更多的日志， -# 也可以使用-n参数指定日志的条数 -paddlecloud logs -n 100 fit-a-line -... -``` - -任务执行完成后，任务的状态会显示为如下状态： - -```bash -paddlecloud get jobs -NUM NAME SUCC FAIL START COMP ACTIVE -0 fit-a-line 1 2017-06-26T08:41:01Z 2017-06-26T08:41:29Z -``` - -## 下载任务的模型输出 - -任务成功执行后，训练程序一般会将模型输出保存在云端文件系统中，可以用下面的命令查看，并下载模型的输出： - -```bash -paddlecloud file ls /pfs/dlnel/home/wuyi05@baidu.com/jobs/fit_a_line/ -train.py -image -output -paddlecloud file ls /pfs/dlnel/home/wuyi05@baidu.com/jobs/fit_a_line/output/ -pass-0001.tar -... -paddlecloud file get /pfs/dlnel/home/wuyi05@baidu.com/jobs/fit_a_line/output/pass-0001.tar ./ -``` - -模型下载之后，就可以把模型应用在预测服务等环境了。 - -## 清除任务 - -使用下面命令可以完全清除集群上的训练任务，清理之后，任务的历史日志将无法查看，但仍然可以在任务名的目录下找到之前的输出。 - -```bash -paddlecloud kill fit-a-line -``` - ---- -详细使用文档见：[中文使用文档](./usage_cn.md) diff --git a/doc/usage_cn.md b/doc/usage_cn.md deleted file mode 100644 index 48831bd7..00000000 --- a/doc/usage_cn.md +++ /dev/null @@ -1,440 +0,0 @@ -# 使用命令提交集群训练任务 - ---- - -## 下载并配置paddlecloud - -`paddlecloud`是提交PaddlePaddleCloud分布式训练任务的命令行工具。 - -步骤1: 访问链接 https://github.com/PaddlePaddle/cloud/releases 下载最新的`paddlecloud`二进制客户端，并把`paddlecloud`拷贝到环境变量$PATH中的路径下，比如：`/usr/local/bin` - -步骤2: 创建`~/.paddle/config`文件(windows系统创建当前用户目录下的`.paddle\config`文件)，并写入下面内容， - -```yaml -datacenters: -- name: datacenter1 - username: [your user name] - password: [secret] - endpoint: http://cloud.paddlepaddle.org -current-datacenter: datacenter1 -``` - -配置文件用于指定使用的PaddlePaddleCloud服务器集群的接入地址，并需要配置用户的登录信息： -- name: 自定义的datacenter名称，可以是任意字符串 -- username: PaddlePaddleCloud的用户名，账号在未开放注册前需要联系管理员分配，通常用户名为邮箱地址 -- password: 账号对应的密码 -- endpoint: PaddlePaddleCloud集群API地址，可以从集群管理员处获得 -- current-datacenter: 标明使用哪个datacenter作为当前操作的datacenter - -配置文件创建完成后，执行`paddlecloud`会显示该客户端的帮助信息： - -``` -Usage: paddlecloud - -Subcommands: - commands list all command names - delete Delete the specify resource. - file Simple file operations. - get Print resources - help describe subcommands and their syntax - kill Stop the job. -rm will remove the job from history. - logs Print logs of the job. - registry Add registry secret on paddlecloud. - submit Submit job to PaddlePaddle Cloud. - -Subcommands for PFS: - cp upload or download files - ls List files on PaddlePaddle Cloud - mkdir mkdir directoies on PaddlePaddle Cloud - rm rm files on PaddlePaddle Cloud - - -Use "paddlecloud flags" for a list of top-level flags -``` - -## 准备训练数据 - -不同的PaddlePaddleCloud集群环境会提供不同的分布式存储服务。目前PaddlePaddleCloud支持HDFS和CephFS。 - -### HDFS环境下训练数据准备 - -使用`ssh`登录到集群中的公用数据中转服务器上，进行数据上传，下载，更新等操作。您可以在中转服务器的`/mnt`路径下找到集群HDFS的目录，并可以访问当前有权限的目录。上传数据则可以使用管理普通Linux文件的方式，将数据`scp`到中转服务器`/mnt`下的用户数据目录。比如： - -```bash -scp -r my_training_data_dir/ user@tunnel-server:/mnt/hdfs_mulan/idl/idl-dl/mydir/ -``` - -***说明：您可能需要联系集群管理员以获得数据中转服务器的登录地址和权限。*** - -在训练任务提交后，每个训练节点会把HDFS挂载在`/pfs/[datacenter_name]/home/[username]/`目录下这样训练程序即可使用这个路径读取训练数据并开始训练。 - -### 使用[RecordIO](https://github.com/PaddlePaddle/recordio)对训练数据进行预处理 -用户需要在本地将数据预先处理为RecordIO的格式，再上传至集群进行训练。 -- 使用RecordIO库进行数据预处理 -```python -import paddle.v2.dataset as dataset -dataset.common.convert(output_path = "./dataset", - reader = dataset.uci_housing.train(), - line_count = 10, - name_prefix = "uci_housing_train") -``` - - `output_path` 输出路径 - - `reader` 用户自定义的[reader](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/design/reader),实现方法可以参考[paddle.v2.dataset.uci_housing.train()](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/dataset/uci_housing.py#L74) - - `num_shards` 生成的文件数量 - - `num_prefix` 生成的文件名前缀 - -执行成功后会在本地生成如下文件： -```bash -. -./dataset -./dataset/uci_houseing_train-00000-of-00009 -./dataset/uci_houseing_train-00001-of-00009 -./dataset/uci_houseing_train-00002-of-00009 -./dataset/uci_houseing_train-00003-of-00009 -... -``` - -- 编写reader来读取RecordIO格式的文件 -```python -import cPickle as pickle -import recordio -import glob -import sys -def recordio_reader(filepath, parallelism, trainer_id): - # sample filepath as "/pfs/dlnel/home/yanxu05@baidu.com/dataset/uci_housing/uci_housing_train*" - def reader(): - if trainer_id >= parallelism: - sys.stdout.write("invalied trainer_id: %d\n" % trainer_id) - return - files = glob.glob(filepath) - files.sort() - my_file_list = [] - for idx, f in enumerate(files): - if idx % parallelism == trainer_id: - my_file_list.append(f) - - for fn in my_file_list: - r = recordio.reader(fn) - while True: - d = r.read() - if not d: - break - yield pickle.loads(d) - - return reader -``` - -### 使用paddlecloud上传训练数据 - -paddlecloud命令集成了上传数据的功能，目前仅针对存储系统是CephFS的环境。如果希望上传，执行： - -```bash -paddlecloud file src dest -``` -- `src` 必须是当前目录的子目录，`../`是不允许的。 -- `src` 如果以'/'结尾，则表示上传`src`目录下的文件，不会在`dest`下创建新的目录。 -- `src` 如果没有以`/`结尾，则表示上传`src`目录，会在`dest`下创建一个新的目录。 -- `dest` 必须包含`/pfs/{datacenter}/user/{username}`目录。 - - - -### 使用公共数据集 - -不论是在HDFS环境还是CephFS环境，用户提交的任务中都可以访问目录`/pfs/public`获得公开数据集的访问。 -在分布式环境中，每个trainer希望访问一部分数据，则可以编写如下的reader代码访问已经拆分好的数据集： - -```python -TRAIN_FILES_PATTERN = os.path.join(common.DATA_HOME, - "uci_housing/train-*.pickle") -def train(): - return common.cluster_files_reader( - TRAIN_FILES_PATTERN, - trainer_count = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS", "1")), - trainer_id = int(os.getenv("PADDLE_INIT_TRAINER_ID", "0"))) - -``` - -## 训练程序包 - -训练程序包是指包含训练程序、依赖、配置文件的一个目录。这个目录必须完整的包含此训练程序的完整依赖，否则可能无法在集群中正常执行。 - -### 定义集群中的训练数据分发 - -每个集群训练任务都会在集群的多个节点上启动训练程序实例，每个训练程序实例会完成一部分训练数据的训练任务。为了能比较均匀的将大量训练数据分配在这些节点上，在编写训练程序时，通常会使用下面的方法： - -```python -TRAIN_FILE_PATTERN = "/pfs/[datacenter_name]/home/[username]/user001_space/part-*.gz" -TEST_FILE_PATTERN = "/pfs/[datacenter_name]/home/[username]/user001_space_test/part-*.gz" - -def gen_train_list(data_dir): - # write "/train.list" and "/test.list" for each node - trainer_id = -1 - trainer_count = -1 - with open("/trainer_id", "r") as f: - trainer_id = int(f.readline()[:-1]) - with open("/trainer_count", "r") as f: - trainer_count = int(f.readline()[:-1]) - - train_file_list = glob.glob(TRAIN_FILE_PATTERN) - train_file_list.sort() - my_train_list = [] - for idx, f in enumerate(train_file_list): - if idx % trainer_count == trainer_id: - my_train_list.append(f) - with open("/train.list", "w") as f: - f.write('\n'.join(my_train_list)) - - test_file_list = glob.glob(TEST_FILE_PATTERN) - test_file_list.sort() - my_test_list = [] - for idx, f in enumerate(test_file_list): - if idx % trainer_count == trainer_id: - my_test_list.append(f) - with open("/test.list", "w") as f: - f.write('\n'.join(my_test_list)) - -``` - -这段代码会根据指定的HDFS中的训练数据路径，将文件顺序的分配给每个节点，并生成两个文件`/train.list`和`/test.list`保存分配给当前节点的训练数据文件的路径。在调用`define_py_data_sources2`定义训练数据时，传入这两个文件路径即可。 - -### 上传训练程序包到HDFS（仅HDFS存储下需要） - -上传训练程序包到HDFS的方式和上传训练数据方式相同。使用公用数据中转服务器，将训练程序包上传到HDFS。比如： - -```bash -scp -r my_training_package/ user@tunnel-server:/mnt/hdfs_mulan/idl/idl-dl/mypackage/ -``` - -在下面提交任务的步骤中，需要指定集群上的程序包的位置：`/pfs/[datacenter_name]/home/[username]/idl/idl-dl/mypackage/`即可在集群中执行这个程序包中的训练程序。 - -***注意: 此方式会逐步淘汰*** - - -## 提交任务 - -执行下面的命令提交准备好的任务: - -- 提交基于V1 API的训练任务 - -```bash -paddlecloud submit -jobname my-paddlecloud-job \ - -cpu 1 \ - -gpu 0 \ - -memory 1Gi \ - -parallelism 10 \ - -pscpu 1 \ - -pservers 3 \ - -psmemory 1Gi \ - -entry "python trainer_config.py" /pfs/[datacenter_name]/home/[username]/ctr_demo_package -``` - -- 提交基于V2 API的训练任务 - -```bash -paddlecloud submit -jobname my-paddlecloud-job \ - -cpu 1 \ - -gpu 0 \ - -memory 1Gi \ - -parallelism 10 \ - -pscpu 1 \ - -pservers 3 \ - -psmemory 1Gi \ - -passes 1 \ - -entry "python trainer_config.py" \ - /pfs/[datacenter_name]/home/[username]/ctr_demo_package -``` - -参数说明： -- `jobname`：提交任务的名称，paddlecloud使用`jobname`唯一标识一个任务 - - ***注意：*** jobname必须由字母、数字、“-”和“.”组成，并且以字母数字组合结尾，***不能*** 包含下划线“_” -- `-cpu`：每个trainer进程使用的CPU资源，单位是“核” -- `-gpu`：每个trainer进程使用的GPU资源，单位是“卡” -- `-memory`：每个trainer进程使用的内存资源，格式为“数字+单位”，单位可以是：Ki，Mi，Gi -- `-parallelism`：启动trainer的个数／并发节点数 -- `-pscpu`：parameter server占用的CPU资源，单位是“核” -- `-pservers`：parameter server的节点个数 -- `-psmemory`：parameter server占用的内存资源，格式为“数字+单位”，单位可以是：Ki，Mi，Gi -- `-topology`：指定PaddlePaddle v1训练的模型配置python文件 -- `-entry`: 指定PaddlePaddle v2训练程序的启动命令 -- `-passes`：执行训练的pass个数 -- `package`：HDFS 训练任务package的路径 - -### 使用自定义的Runtime Docker Image -runtime Docker Image是实际被Kubernetes调度的Docker Image，如果在某些情况下需要自定义属于某个任务的Docker Image可以通过以下方式 -- 自定义Runtime Docker Image - ```bash - git clone https://github.com/PaddlePaddle/cloud.git && cd cloud/docker - ./build_docker.sh {PaddlePaddle production image} {runtime Docker image} - docker push {runtime Docker image} - ``` -- 使用自定义的runtime Docker Image来运行Job - ```bash - paddlecloud submit -image {runtime Docker image} -jobname ... - ``` - -- 使用私有registry的runtime Docker image - - 在PaddleCloud上添加registry认证信息 - ```bash - paddlecloud registry \ - -username {your username} - -password {your password} - -server {your registry server} - -name {your registry name} - ``` - - 使用私有registry提交任务 - ```bash - paddlecloud submit \ - -image {runtime Docker image} \ - -registry {your registry name} - ``` - - 查看所有的registry - ```bash - paddlecloud get registry - ``` - - 删除指定的registry - ```bash - paddlecloud delete registry - ``` - - -## 查看任务状态 - -用户可以查看任务、任务节点、用户空间配额的当前状态。 - -执行`paddlecloud get jobs`命令查看任务运行状态，将显示： - -``` -NUM NAME SUCC FAIL START COMP ACTIVE -0 paddle-cluster-job 1 2017-05-24T07:52:45Z 1 -``` - -执行`paddlecloud get workers paddle-cluster-job`查看worker运行状态，显示： - -``` -NAME STATUS START -paddle-cluster-job-trainer-3s4nz Running 2017-05-24T07:53:41Z -paddle-cluster-job-trainer-6sc4q Running 2017-05-24T07:53:03Z -... -``` - -## 查看任务日志 - -执行`paddlecloud logs paddle-cluster-job`显示当前任务的所有worker的日志： - -``` -label selector: paddle-job-pserver=paddle-cluster-job, desired: 3 -running pod list: [('Running', '172.17.29.47'), ('Running', '172.17.37.46'), …, ('Running', '172.17.28.244')] -sleep for 10 seconds... -running pod list: [('Running', '172.17.29.47'), ('Running', '172.17.37.46'), …, ('Running', '172.17.28.244')] -label selector: paddle-job=paddle-job-yanxu, desired: 10 -running pod list: [('Running', '172.17.31.182’),…(‘Running', '172.17.12.234'), ('Running', '172.17.22.238')] -Starting training job: /pfs/***/home/***/***/ctr_package_cloud, num_gradient_servers: 200, trainer_id: 102, version: v1 -I0524 12:00:31.511015 43 Util.cpp:166] commandline: /usr/bin/../opt/paddle/bin/paddle_trainer --port=7164 --nics= --ports_num=1 --ports_num_for_sparse=1 --num_passes=1 --trainer_count=1 --saving_period=1 --log_period=20 --local=0 --config=trainer_config.py --use_gpu=0 --trainer_id=102 --save_dir= --pservers=172.17.29.47,,172.17.28.244 --num_gradient_servers=200 -[INFO 2017-05-24 12:00:39,316 networks.py:1482] The input order is [....] -[INFO 2017-05-24 12:00:39,319 networks.py:1488] The output order is [__cost_0__] -I0524 12:00:39.330195 43 Trainer.cpp:165] trainer mode: Normal -I0524 12:00:39.514008 43 PyDataProvider2.cpp:243] loading dataprovider dataprovider::process_deep -[INFO 2017-05-24 12:00:39,814 dataprovider.py:21] hook -[INFO 2017-05-24 12:00:39,883 dataprovider.py:33] dict_size is 5231 -[INFO 2017-05-24 12:00:39,883 dataprovider.py:34] schema_pos_size is 552 -[INFO 2017-05-24 12:00:39,883 dataprovider.py:35] schema_output_size is 51 -I0524 12:00:39.884352 43 PyDataProvider2.cpp:243] loading dataprovider dataprovider::process_deep -[INFO 2017-05-24 12:00:39,884 dataprovider.py:21] hook -[INFO 2017-05-24 12:00:39,914 dataprovider.py:33] dict_size is 5231 -[INFO 2017-05-24 12:00:39,914 dataprovider.py:34] schema_pos_size is 552 -[INFO 2017-05-24 12:00:39,914 dataprovider.py:35] schema_output_size is 51 -I0524 12:00:39.915364 43 GradientMachine.cpp:86] Initing parameters.. -I0524 12:00:39.924811 43 GradientMachine.cpp:93] Init parameters done. -I0524 12:00:39.924881 43 ParameterClient2.cpp:114] pserver 0 172.17.29.47:7164 -I0524 12:00:39.925227 43 ParameterClient2.cpp:114] pserver 1 172.17.37.46:7164 -I0524 12:00:39.925472 43 ParameterClient2.cpp:114] pserver 2 172.17.55.171:7164 -I0524 12:00:39.925714 43 ParameterClient2.cpp:114] pserver 3 172.17.35.175:7164 -``` - -如果任务workers较多，可以指定查看某个worker的单独的日志：`paddlecloud logs -w paddle-cluster-job-trainer-3s4nz paddle-cluster-job`。 - -## 终止任务 -执行`paddlecloud kill paddle-cluster-job`即可停止训练任务的所有节点和进程。 - -kill命令执行成功后，集群会在后台终止集群作业的workers进程，workers并不会在kill命令之后全部停止。如果需要查看kill掉的任务正在清理的workers，可以使用命令`paddlecloud get workers paddle-cluster-job`查看。 - -***所以在kill之后提交新的任务时，要记得更改提交时的`-name`参数，防止任务名称冲突。*** - -## 如何准备一个支持分布式的dataset -由于分布式训练会同时启动多个trainer实例，为了保证每个trainer实例能够获取到同等规模的数据集，我们需要对单机dataset拆分为多个小文件, 每个trainer根据自己的运行时信息来决定读取哪些具体的文件。[这里](../demo/fit_a_line/train.py)是训练程序的样例，[这里](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/dataset/uci_housing.py)是dataset的样例。 - -### 预处理训练数据 -您可以使用PaddlePaddle提供的默认函数[paddle.v2.dataset.common.split](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/dataset/common.py#L129)将reader的数据切分为多个小文件，当然您也可以自定义一个预处理函数来切分数据： - -```python -import paddle.v2.dataset.uci_housing as uci_housing -import paddle.v2.dataset.common as common -common.split(reader = uci_housing.train(), // Your reader instance - line_count = 500, // line count for each file - suffix = "./uci_housing/train-%05d.pickle") // filename suffix for each file, must contain %05d -``` - -`split`默认会使用[cPickle](https://docs.python.org/2/library/pickle.html#module-cPickle)函数将Python对象序列化到本地文件, 上述代码会将uci_housing的数据集切分成成多个cPickle格式的小文件，您可以使用PaddlePaddle的生产环境镜像在本地运行切分数据的代码： - -```bash -docker run --rm -it -v $PWD:/work paddlepaddle/paddle:latest python /work/run.py -``` -执行成功后可以通过公用的数据中转机将数据上传至集群。 - -- 自定义序列化函数 - - 您可以用过`dumper`参数来指定序列化的函数，dumper的接口格式为 - - ```python - dumper(obj=, file=) - ``` - - 例如，使用[marshal.dump](https://docs.python.org/2.7/library/marshal.html#marshal.dump)替换默认的`cPickle.dump` - - ```python - common.split(reader = uci_housing.train(), // Your reader instance - line_count = 500, // reader iterator count for each file - suffix="./uci_housing/train-%05d.pickle", // filename suffix for each file - dumper=marshal.dump) // using pickle.dump instead of the default function: cPickle.dump - ``` - -### 读取分布式文件的reader -训练代码需要在运行时判断自己身份并决定读取哪些文件,PaddlePaddle同样提供了默认函数[paddle.v2.dataset.common.cluster_files_reader](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/dataset/common.py#L167)来读取这些文件，您也可以定义自己的函数来读取文件。通过以下环境变量可以获取到一些有用的运行时信息： -- `PADDLE_INIT_NUM_GRADIENT_SERVERS`: trainer实例的数量 -- `PADDLE_INIT_TRAINER_ID`: 当前trainer的ID,从0开始到`$TRAINERS-1` -- `PADDLE_CLOUD_CURRENT_DATACENTER`: 当前的datacenter - -样例代码： -```python -import paddle.v2.dataset.common as common - -dc = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") - -def train(): - return common.cluster_files_reader( - "/pfs/%s/public/dataset/uci_housing/train-*.pickle" % dc, - trainer_count = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS")), - train_id = int(os.getenv("PADDLE_INIT_TRAINER_ID")) - ) -``` - -- 自定义文件加载函数 - 同样您也可以通过`loader`参数来指定如何加载文件,`loader`的接口格式: - - ```python - d = loader(f = ) - ``` - - 例如,使用[marshal.load](https://docs.python.org/2.7/library/marshal.html#marshal.load)替换默认的`cPickle.load`: - - ```python - def train(): - return common.cluster_files_reader( - "/pfs/%s/public/dataset/uci_housing/train-*.pickle" % dc, - trainer_count = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS")), - train_id = int(os.getenv("PADDLE_INIT_TRAINER_ID")), - loader = marshal.load - ) - ``` - -*注意*: `"/pfs/%s/public" % dc`是公用数据的默认访问路径，所有Job对此目录具有*只读*权限。 diff --git a/doc/usage_en.md b/doc/usage_en.md deleted file mode 100644 index a695103a..00000000 --- a/doc/usage_en.md +++ /dev/null @@ -1,461 +0,0 @@ -# Submit PaddlePaddle Cluster Jobs - ---- - -## Donwload And Configure paddlectl client - -`paddlectl` is the command line tool for PaddlePaddleCloud distributed training. - -### Steps - -1. Download latest `paddlectl` client binary from https://github.com/PaddlePaddle/cloud/releases, copy `paddlectl` to system $PATH directory, I.E. `/usr/local/bin` - -1. Create `~/.paddle/config` (`.paddle\config` under current user directory for Windows users) and fill it with the following content: - -```yaml -datacenters: -- name: datacenter1 - username: [your user name] - password: [secret] - endpoint: http://cloud.paddlepaddle.org -current-datacenter: datacenter1 -``` -Above file configures PaddlePaddleCloud cluster endpoints with user credentials. - -- name: self defined datacenter name, can be any string. -- username: username for PaddlepaddleCloud, usually this is a email address, created by system administrator -- password: the password for above account. -- endpoint: URL for PaddlePaddleCloud cluster API. This info will be provided by system administrator along with username&password -- current-datacenter: To identify current datacenter - -After finish editing the config file, run `paddlectl` will show help message as follows: - -``` bash -Usage: paddlectl - -Subcommands: - commands list all command names - delete Delete the specify resource. - file Simple file operations. - get Print resources - help describe subcommands and their syntax - kill Stop the job. -rm will remove the job from history. - logs Print logs of the job. - registry Add registry secret on paddlectl. - submit Submit job to PaddlePaddle Cloud. - -Subcommands for PFS: - cp upload or download files - ls List files on PaddlePaddle Cloud - mkdir mkdir directoies on PaddlePaddle Cloud - rm rm files on PaddlePaddle Cloud - - -Use "paddlectl flags" for a list of top-level flags - -``` - -## Preparing Training Data - -Different PaddlePaddle Cloud environment may provide different storage services. PaddlePaddle Cloud currently works with HDFS and CephFS. - -### Manually upload training data to HDFS - -You can login to public data server via `ssh` to upload, download or update data. You can find cluster HDFS directory under `/mnt` and access the directories you are authorized. Data uploading is accomplished via common Linux file managing fashion, `scp` you local data to public data server's `/mnt` directory, for example: - -```bash -scp -r my_training_data_dir/ user@tunnel-server:/mnt/hdfs_mulan/idl/idl-dl/mydir/ -``` - -***Please note：You might need to contact system administrator to find the public server login address and credential*** - -When training job is submitted, each training node will mount HDFS under `/pfs/[datacenter_name]/home/[username]/`, so that the training program can access the data and start training. - -### Preprocess training data with [RecordIO](https://github.com/PaddlePaddle/recordio) - -User need to preprocess and convert local data to the format of RecordIO before uploading to training cluster. - -- Preprocessing data with RecordIO library -```python -import paddle.v2.dataset as dataset -dataset.common.convert(output_path = "./dataset", - reader = dataset.uci_housing.train(), - line_count = 10, - name_prefix = "uci_housing_train") -``` - - `output_path` output path - - `reader` user defined [reader](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/design/reader), please refer to [paddle.v2.dataset.uci_housing.train()] for implementation(https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/dataset/uci_housing.py#L74) - - `num_shards` number of files to generate - - `num_prefix` prefix of file names - -files will be generated as follows： -```bash -. -./dataset -./dataset/uci_houseing_train-00000-of-00009 -./dataset/uci_houseing_train-00001-of-00009 -./dataset/uci_houseing_train-00002-of-00009 -./dataset/uci_houseing_train-00003-of-00009 -... -``` - -- Implement RecordIO reader -```python -import cPickle as pickle -import recordio -import glob -import sys -def recordio_reader(filepath, parallelism, trainer_id): - # sample filepath as "/pfs/dlnel/home/yanxu05@baidu.com/dataset/uci_housing/uci_housing_train*" - def reader(): - if trainer_id >= parallelism: - sys.stdout.write("invalied trainer_id: %d\n" % trainer_id) - return - files = glob.glob(filepath) - files.sort() - my_file_list = [] - for idx, f in enumerate(files): - if idx % parallelism == trainer_id: - my_file_list.append(f) - - for fn in my_file_list: - r = recordio.reader(fn) - while True: - d = r.read() - if not d: - break - yield pickle.loads(d) - - return reader -``` - -### Upload training data using paddlectl - -`paddlectl` command line is able to upload data training cluster to CephFS. - -```bash -paddlectl file src dest -``` - -- `src` must be child directory of current directory，`../` is not allowed. -- if `src` ends with `/`, that means uploading files under `src`, no new directories will be created under `des`. -- if `src` does NOT end with `/`, that means `src` directory will be uploaded, which will be a sub directory of `dest`. -- `dest` must contain `/pfs/{datacenter}/user/{username}` as part of the path. - - -### Using public dataser - -In either HDFS or CephFS, user training task is able to access `/pfs/public` for public dataset. -In distributed training environment, if each trainer just need to access a subset of the data, try the following reader to access the sliced dataset - -```python -TRAIN_FILES_PATTERN = os.path.join(common.DATA_HOME, - "uci_housing/train-*.pickle") -def train(): - return common.cluster_files_reader( - TRAIN_FILES_PATTERN, - trainer_count = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS", "1")), - trainer_id = int(os.getenv("PADDLE_INIT_TRAINER_ID", "0"))) - -``` - -## Training Program Package - -Training program package is a directory which contains training program, dependencies and config files. This directory must contain all the dependencies, or it will not work properly in cluster. - -### Define the training data distribution in cluster - -Each training job will launch multiple training instances in multiple cluster nodes, each training instance will take a subset of the training task. To evenly distribute the large amount of data to each of the nodes, the following python program is an example of doing so: - -```python -TRAIN_FILE_PATTERN = "/pfs/[datacenter_name]/home/[username]/user001_space/part-*.gz" -TEST_FILE_PATTERN = "/pfs/[datacenter_name]/home/[username]/user001_space_test/part-*.gz" - -def gen_train_list(data_dir): - # write "/train.list" and "/test.list" for each node - trainer_id = -1 - trainer_count = -1 - with open("/trainer_id", "r") as f: - trainer_id = int(f.readline()[:-1]) - with open("/trainer_count", "r") as f: - trainer_count = int(f.readline()[:-1]) - - train_file_list = glob.glob(TRAIN_FILE_PATTERN) - train_file_list.sort() - my_train_list = [] - for idx, f in enumerate(train_file_list): - if idx % trainer_count == trainer_id: - my_train_list.append(f) - with open("/train.list", "w") as f: - f.write('\n'.join(my_train_list)) - - test_file_list = glob.glob(TEST_FILE_PATTERN) - test_file_list.sort() - my_test_list = [] - for idx, f in enumerate(test_file_list): - if idx % trainer_count == trainer_id: - my_test_list.append(f) - with open("/test.list", "w") as f: - f.write('\n'.join(my_test_list)) - -``` -Above program will distribute files to training nodes in order, according to the training data path in HDFS, and create `train.list`, `test.list` to store training data file path for current node. Pass the path to these 2 files when you call `define_py_data_sources2` to define training data. - - -### Upload training program package to HDFS - -Uploading training program to HDFS is the same as uploading training data. Upload training program package via public server. for example: - -```bash -scp -r my_training_package/ user@tunnel-server:/mnt/hdfs_mulan/idl/idl-dl/mypackage/ -``` - -In the following steps of submitting training jobs, you will need to set the directory of training program package with `/pfs/[datacenter_name]/home/[username]/idl/idl-dl/mypackage/` to run it. - - -***NOTE: This method will be deprecated.*** - - -## Submitting A Job - -Submitting training jobs with the following command: - -- Submitting jobs utilizing v1 API - -```bash -paddlectl submit -jobname my-paddlecloud-job \ - -cpu 1 \ - -gpu 0 \ - -memory 1Gi \ - -parallelism 10 \ - -pscpu 1 \ - -pservers 3 \ - -psmemory 1Gi \ - -entry "python trainer_config.py" /pfs/[datacenter_name]/home/[username]/ctr_demo_package -``` - -- Submitting jobs utilizing V2 API - -```bash -paddlectl submit -jobname my-paddlecloud-job \ - -cpu 1 \ - -gpu 0 \ - -memory 1Gi \ - -parallelism 10 \ - -pscpu 1 \ - -pservers 3 \ - -psmemory 1Gi \ - -passes 1 \ - -entry "python trainer_config.py" \ - /pfs/[datacenter_name]/home/[username]/ctr_demo_package -``` - -Parameters： -- `jobname`：training job's name，paddlecloud use `jobname` as unique identifier for jobs. - - ***Note：*** jobname can only contain alphabet character, number, `-` `.`, and must end with combination of character or number，*** NO *** `_` is allowed. -- `-cpu`：CPU resource for each trainer, in units of `core` -- `-gpu`：CPU resource for each trainer, in units of `card` -- `-memory`：Memory resource for each trainer, value can be a integer with a `Ki，Mi，Gi` as suffix. -- `-parallelism`：trainer/parallelism node count. -- `-pscpu`：CPU resource for parameter server, in unites of `core` -- `-pservers`：number of parameter servers -- `-psmemory`：Memory resource for parameter server, value can be a integer with a `Ki，Mi，Gi` as suffix. -- `-topology`：PaddlePaddle v1 training config file path -- `-entry`: PaddlePaddle v2 training program launch command -- `-passes`：number of passes -- `package`：path to HDFS training job - - -### Using customized Runtime Docker Image - -If your training task need to be wrapped in a docker image to be scheduled by kubernetes, here is how: - -- define Runtime Docker Image - ```bash - git clone https://github.com/PaddlePaddle/cloud.git && cd cloud/docker - ./build_docker.sh {PaddlePaddle production image} {runtime Docker image} - docker push {runtime Docker image} - ``` -- define runtime Docker Image to run training jobs - ```bash - paddlectl submit -image {runtime Docker image} -jobname ... - ``` - -- if your runtime Docker image is submitted to a private registry - - add registry credentials in PaddleCloud - ```bash - paddlectl registry \ - -username {your username} - -password {your password} - -server {your registry server} - -name {your registry name} - ``` - - submit training job via private registry - ```bash - paddlectl submit \ - -image {runtime Docker image} \ - -registry {your registry name} - ``` - - list all registries - ```bash - paddlectl get registry - ``` - - delete a registry - ```bash - paddlectl delete registry - ``` - - -## View Job Status - -User can check the status of training jobs, nodes and disk quota with the following command: - -``` bash -paddlectl get jobs - - -NUM NAME SUCC FAIL START COMP ACTIVE -0 paddle-cluster-job 1 2017-05-24T07:52:45Z 1 -``` - -To check the status of workers, run the following command: - -``` bash -paddlectl get workers paddle-cluster-job - -NAME STATUS START -paddle-cluster-job-trainer-3s4nz Running 2017-05-24T07:53:41Z -paddle-cluster-job-trainer-6sc4q Running 2017-05-24T07:53:03Z -... -``` - -## View Job Logs - -Run following command to check current training job's log from all workers: - -``` bash -paddlectl logs paddle-cluster-job - -label selector: paddle-job-pserver=paddle-cluster-job, desired: 3 -running pod list: [('Running', '172.17.29.47'), ('Running', '172.17.37.46'), …, ('Running', '172.17.28.244')] -sleep for 10 seconds... -running pod list: [('Running', '172.17.29.47'), ('Running', '172.17.37.46'), …, ('Running', '172.17.28.244')] -label selector: paddle-job=paddle-job-yanxu, desired: 10 -running pod list: [('Running', '172.17.31.182’),…(‘Running', '172.17.12.234'), ('Running', '172.17.22.238')] -Starting training job: /pfs/***/home/***/***/ctr_package_cloud, num_gradient_servers: 200, trainer_id: 102, version: v1 -I0524 12:00:31.511015 43 Util.cpp:166] commandline: /usr/bin/../opt/paddle/bin/paddle_trainer --port=7164 --nics= --ports_num=1 --ports_num_for_sparse=1 --num_passes=1 --trainer_count=1 --saving_period=1 --log_period=20 --local=0 --config=trainer_config.py --use_gpu=0 --trainer_id=102 --save_dir= --pservers=172.17.29.47,,172.17.28.244 --num_gradient_servers=200 -[INFO 2017-05-24 12:00:39,316 networks.py:1482] The input order is [....] -[INFO 2017-05-24 12:00:39,319 networks.py:1488] The output order is [__cost_0__] -I0524 12:00:39.330195 43 Trainer.cpp:165] trainer mode: Normal -I0524 12:00:39.514008 43 PyDataProvider2.cpp:243] loading dataprovider dataprovider::process_deep -[INFO 2017-05-24 12:00:39,814 dataprovider.py:21] hook -[INFO 2017-05-24 12:00:39,883 dataprovider.py:33] dict_size is 5231 -[INFO 2017-05-24 12:00:39,883 dataprovider.py:34] schema_pos_size is 552 -[INFO 2017-05-24 12:00:39,883 dataprovider.py:35] schema_output_size is 51 -I0524 12:00:39.884352 43 PyDataProvider2.cpp:243] loading dataprovider dataprovider::process_deep -[INFO 2017-05-24 12:00:39,884 dataprovider.py:21] hook -[INFO 2017-05-24 12:00:39,914 dataprovider.py:33] dict_size is 5231 -[INFO 2017-05-24 12:00:39,914 dataprovider.py:34] schema_pos_size is 552 -[INFO 2017-05-24 12:00:39,914 dataprovider.py:35] schema_output_size is 51 -I0524 12:00:39.915364 43 GradientMachine.cpp:86] Initing parameters.. -I0524 12:00:39.924811 43 GradientMachine.cpp:93] Init parameters done. -I0524 12:00:39.924881 43 ParameterClient2.cpp:114] pserver 0 172.17.29.47:7164 -I0524 12:00:39.925227 43 ParameterClient2.cpp:114] pserver 1 172.17.37.46:7164 -I0524 12:00:39.925472 43 ParameterClient2.cpp:114] pserver 2 172.17.55.171:7164 -I0524 12:00:39.925714 43 ParameterClient2.cpp:114] pserver 3 172.17.35.175:7164 - -``` - - - -## Terminating Jobs - -Run `paddlectl kill paddle-cluster-job` to terminate the training job. - -When above command is successful, cluster will try to terminate all the workers process in background, this procedure might take some time and works might not be terminated immediately. If you need to check if your work has been cleared, run `paddlectl get workers paddle-cluster-job` - -*** When submitting a new job after terminating one, make sure -name is different to prevent name conflicting *** - -## To prepare a dataset for distributed training - -Since distributed training will start multiple training instances, to ensure data is evenly distributed and delivered to each trainer, we need to split dataset into small pieces, each trainer will decide files to read based on its runtime state. [here](../demo/fit_a_line/train.py) is an example training program, [here](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/dataset/uci_housing.py) is an example of dataset. - - -### Preprocessing training data. - -You can utilize PaddlePaddle's [paddle.v2.dataset.common.split]((https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/dataset/common.py#L129)) to chop reader's data into small pieces, or you can define your own as follows: - -```python -import paddle.v2.dataset.uci_housing as uci_housing -import paddle.v2.dataset.common as common -common.split(reader = uci_housing.train(), // Your reader instance - line_count = 500, // line count for each file - suffix = "./uci_housing/train-%05d.pickle") // filename suffix for each file, must contain %05d -``` - -`split` uses [cPickle](https://docs.python.org/2/library/pickle.html#module-cPickle) to serialize pythonb objects to local file by default. Above program will split uci_housing dataset into multipule cPcikle file. You can use PaddlePaddle production docker image to split dataset locally. - -```bash -docker run --rm -it -v $PWD:/work paddlepaddle/paddle:latest python /work/run.py -``` - - -- Customize serialization function - - You can set your own serialization function by passing it with `dumper` parameter. Dumper's interface spec is as follows: - - ```python - dumper(obj=, file=) - ``` - - For an example，use [marshal.dump](https://docs.python.org/2.7/library/marshal.html#marshal.dump) instead - - ```python - common.split(reader = uci_housing.train(), // Your reader instance - line_count = 500, // reader iterator count for each file - suffix="./uci_housing/train-%05d.pickle", // filename suffix for each file - dumper=marshal.dump) // using pickle.dump instead of the default function: cPickle.dump - ``` - -### Reader to read from distributed files - -Training program need to decide files to read based on it's runtime role, PaddlePaddle provides default file reader [paddle.v2.dataset.common.cluster_files_reader](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/dataset/common.py#L167) to read these files, or you can customize it with your own function utilizing following environment variables. -- `PADDLE_INIT_NUM_GRADIENT_SERVERS`: number of trainers -- `PADDLE_INIT_TRAINER_ID`: current trainer id, starts from 0 -- `PADDLE_CLOUD_CURRENT_DATACENTER`: current data center. - -code example: -```python -import paddle.v2.dataset.common as common - -dc = os.getenv("PADDLE_CLOUD_CURRENT_DATACENTER") - -def train(): - return common.cluster_files_reader( - "/pfs/%s/public/dataset/uci_housing/train-*.pickle" % dc, - trainer_count = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS")), - train_id = int(os.getenv("PADDLE_INIT_TRAINER_ID")) - ) -``` - -- Customize file loading function. - - You can also customize `loader` to define how the the file is loaded, the interface spec for loader is as follows: - - ```python - d = loader(f = ) - ``` - - For an example, use [marshal.load](https://docs.python.org/2.7/library/marshal.html#marshal.load)to replace `cPickle.load`: - - ```python - def train(): - return common.cluster_files_reader( - "/pfs/%s/public/dataset/uci_housing/train-*.pickle" % dc, - trainer_count = int(os.getenv("PADDLE_INIT_NUM_GRADIENT_SERVERS")), - train_id = int(os.getenv("PADDLE_INIT_TRAINER_ID")), - loader = marshal.load - ) - ``` - -*Please Node*: `"/pfs/%s/public" % dc` is the default path for all the public training datasets, which is *READ ONLY* for all jobs. \ No newline at end of file diff --git a/docker/.gitignore b/docker/.gitignore deleted file mode 100644 index d7a2f354..00000000 --- a/docker/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -Dockerfile -*.pyc diff --git a/docker/README.md b/docker/README.md deleted file mode 100644 index 6d9b1b6b..00000000 --- a/docker/README.md +++ /dev/null @@ -1,21 +0,0 @@ -## Build Runtime Docker Image for Kubernetes - -For the distributed training job on Kubernetes, we package Paddle binary files and some tools for Kubernetes into a runtime Docker image, the runtime Docker image gets scheduled by Kubernetes to run during training. - -You can build CPU and GPU Docker image which based on different PaddlePaddle product Docker image: - -```bash -./build_docker.sh -``` - -- Build CPU runtime Docker image - -```bash -./build_docker.sh paddlepaddle/paddle:0.10.0 paddlepaddle/paddlecloud-job:0.10.0 -``` - -- Build GPU runtime Docker image - -```bash -./build_docker.sh paddlepaddle/paddle:0.10.0-gpu paddlepaddle/paddlecloud-job:0.10.0-gpu -``` diff --git a/docker/build_docker.sh b/docker/build_docker.sh deleted file mode 100755 index a29f52ce..00000000 --- a/docker/build_docker.sh +++ /dev/null @@ -1,33 +0,0 @@ -#!/bin/bash -cur_path="$(cd "$(dirname "$0")" && pwd -P)" - -#base Docker image -if [ ! -n "$1" ]; then - base_image=paddlepaddle/paddle:latest -else - base_image=$1 -fi - -#PaddleCloud job Docker image -if [ ! -n "$2" ]; then - pcloudjob_image=paddlepaddle/cloud-job -else - pcloudjob_image=$2 -fi - -echo "base_image": $base_image -echo "pcloudjob_image": $pcloudjob_image - -#Build Docker Image -cat > Dockerfile <2.5 - if exc.errno == errno.EEXIST and os.path.isdir(path): - pass - else: - raise - - -def convert(output_path, name): - logger.info("proc " + name) - mod = __import__("paddle.v2.dataset." + name, fromlist=['']) - - path = os.path.join(output_path, name) - mkdir_p(path) - - mod.convert(path) - - -if __name__ == '__main__': - if len(sys.argv) != 2: - logger.error("input format:python convert.py output_path") - sys.exit(1) - - output_path = sys.argv[1] - logger.info("output path:" + output_path) - - a = [ - 'cifar', 'conll05', 'imdb', 'imikolov', 'mnist', 'movielens', - 'sentiment', 'uci_housing', 'wmt14' - ] - for m in a: - convert(output_path, m) diff --git a/docker/convert/convert_app.yaml b/docker/convert/convert_app.yaml deleted file mode 100644 index 2ae8c518..00000000 --- a/docker/convert/convert_app.yaml +++ /dev/null @@ -1,30 +0,0 @@ -apiVersion: batch/v1 -kind: Job -metadata: - name: convertdataset - namespace: paddlecloud -spec: - template: - metadata: - name: convertdataset - spec: - volumes: - - name: data-storage - cephfs: - monitors: - - 172.19.32.166:6789 - path: "/public" - user: "admin" - secretRef: - name: ceph-secret - containers: - - name: convertdataset - image: paddlepaddle/recordiodataset - env: - - name: CURRENT_DATACENTER - value: "meiyan" - command: ["/convert/run.sh", "/pfs/meiyan/public/dataset"] - volumeMounts: - - name: data-storage - mountPath: /pfs/meiyan/public - restartPolicy: Never diff --git a/docker/convert/run.sh b/docker/convert/run.sh deleted file mode 100755 index a89c1c2a..00000000 --- a/docker/convert/run.sh +++ /dev/null @@ -1,3 +0,0 @@ -#!/bin/bash -cd /convert/ -python convert.py $1 diff --git a/docker/k8s_tools.py b/docker/k8s_tools.py deleted file mode 100644 index 44752014..00000000 --- a/docker/k8s_tools.py +++ /dev/null @@ -1,107 +0,0 @@ -#!/bin/env python -import os -import sys -import time -import socket -from kubernetes import client, config -NAMESPACE = os.getenv("NAMESPACE") -if os.getenv("KUBERNETES_SERVICE_HOST", None): - config.load_incluster_config() -else: - config.load_kube_config() -v1 = client.CoreV1Api() - - -def get_pod_status(item): - phase = item.status.phase - - # check terminate time although phase is Running. - if item.metadata.deletion_timestamp != None: - return "Terminating" - - return phase - - -def fetch_pods_info(label_selector, phase=None): - api_response = v1.list_namespaced_pod( - namespace=NAMESPACE, pretty=True, label_selector=label_selector) - pod_list = [] - for item in api_response.items: - if phase is not None and get_pod_status(item) != phase: - continue - - pod_list.append((item.status.phase, item.status.pod_ip)) - return pod_list - - -def wait_pods_running(label_selector, desired): - print "label selector: %s, desired: %s" % (label_selector, desired) - while True: - count = count_pods_by_phase(label_selector, 'Running') - # NOTE: pods may be scaled. - if count >= int(desired): - break - print 'current cnt: %d sleep for 5 seconds...' % count - time.sleep(5) - - -def count_pods_by_phase(label_selector, phase): - pod_list = fetch_pods_info(label_selector, phase) - return len(pod_list) - - -def fetch_ips_list(label_selector, phase=None): - pod_list = fetch_pods_info(label_selector, phase) - ips = [item[1] for item in pod_list] - ips.sort() - return ips - - -def fetch_ips_string(label_selector, phase=None): - ips = fetch_ips_list(label_selector, phase) - return ",".join(ips) - - -def fetch_endpoints_string(label_selector, port, phase=None): - ips = fetch_ips_list(label_selector, phase) - ips = ["{0}:{1}".format(ip, port) for ip in ips] - return ",".join(ips) - - -def fetch_pod_id(label_selector, phase=None): - ips = fetch_ips_list(label_selector, phase=phase) - - local_ip = socket.gethostbyname(socket.gethostname()) - for i in xrange(len(ips)): - if ips[i] == local_ip: - return i - - return None - - -def fetch_ips(label_selector): - return fetch_ips_string(label_selector, phase="Running") - - -def fetch_endpoints(label_selector, port): - return fetch_endpoints_string(label_selector, port=port, phase="Running") - - -def fetch_id(label_selector): - return fetch_pod_id(label_selector, phase="Running") - - -if __name__ == "__main__": - command = sys.argv[1] - if command == "fetch_ips": - print fetch_ips(sys.argv[2]) - if command == "fetch_ips_string": - print fetch_ips_string(sys.argv[2], sys.argv[3]) - elif command == "fetch_endpoints": - print fetch_endpoints(sys.argv[2], sys.argv[3]) - elif command == "fetch_id": - print fetch_id(sys.argv[2]) - elif command == "count_pods_by_phase": - print count_pods_by_phase(sys.argv[2], sys.argv[3]) - elif command == "wait_pods_running": - wait_pods_running(sys.argv[2], sys.argv[3]) diff --git a/docker/paddle_k8s b/docker/paddle_k8s deleted file mode 100755 index 2efa13a1..00000000 --- a/docker/paddle_k8s +++ /dev/null @@ -1,223 +0,0 @@ -#!/bin/bash -set -x -start_pserver() { - stdbuf -oL paddle pserver \ - --use_gpu=0 \ - --port=$PADDLE_INIT_PORT \ - --ports_num=$PADDLE_INIT_PORTS_NUM \ - --ports_num_for_sparse=$PADDLE_INIT_PORTS_NUM_FOR_SPARSE \ - --nics=$PADDLE_INIT_NICS \ - --comment=paddle_process_k8s \ - --num_gradient_servers=$PADDLE_INIT_NUM_GRADIENT_SERVERS -} - -start_new_pserver() { - master_label="paddle-job-master=${PADDLE_JOB_NAME}" - - stdbuf -oL python /root/k8s_tools.py wait_pods_running ${master_label} 1 - export MASTER_IP=$(python /root/k8s_tools.py fetch_ips ${master_label}) - stdbuf -oL /usr/bin/pserver \ - -port=$PADDLE_INIT_PORT \ - -num-pservers=$PSERVERS \ - -log-level=debug \ - -etcd-endpoint=http://$MASTER_IP:2379 -} - -start_master() { - stdbuf -oL /usr/bin/master \ - -port=8080 \ - -chunk-per-task=1\ - -task-timout-dur=16s\ - -endpoints=http://127.0.0.1:2379 -} - -check_failed_cnt() { - max_failed=$1 - failed_count=$(python /root/k8s_tools.py count_pods_by_phase paddle-job=${PADDLE_JOB_NAME} Failed) - if [ $failed_count -gt $max_failed ]; then - stdbuf -oL echo "Failed trainer count beyond the threadhold: "$max_failed - echo "Failed trainer count beyond the threshold: " $max_failed > /dev/termination-log - exit 0 - fi -} - -check_trainer_ret() { - ret=$1 - stdbuf -oL echo "job returned $ret...setting pod return message..." - stdbuf -oL echo "===============================" - - if [ $ret -eq 136 ] ; then - echo "Error Arithmetic Operation(Floating Point Exception)" > /dev/termination-log - elif [ $ret -eq 139 ] ; then - echo "Segmentation Fault" > /dev/termination-log - elif [ $ret -eq 1 ] ; then - echo "General Error" > /dev/termination-log - elif [ $ret -eq 134 ] ; then - echo "Program Abort" > /dev/termination-log - fi - stdbuf -oL echo "termination log wroted..." - exit $ret -} - -start_fluid_process() { - pserver_label="paddle-job-pserver=${PADDLE_JOB_NAME}" - trainer_label="paddle-job=${PADDLE_JOB_NAME}" - task_index="" - - stdbuf -oL python /root/k8s_tools.py wait_pods_running ${pserver_label} ${PSERVERS} - - if [ "${TRAINING_ROLE}" == "TRAINER" ]; then - stdbuf -oL python /root/k8s_tools.py wait_pods_running ${trainer_label} ${TRAINERS} - fi - - export PADDLE_INIT_PSERVERS=$(python /root/k8s_tools.py fetch_ips ${pserver_label} ${PADDLE_INIT_PORT}) - - if [ "${TRAINING_ROLE}" == "TRAINER" ]; then - check_failed_cnt ${TRAINERS} - task_index=$(python /root/k8s_tools.py fetch_id ${trainer_label}) - else - task_index=$(python /root/k8s_tools.py fetch_id ${pserver_label}) - fi - - export PADDLE_INIT_TRAINER_ID=${task_index} - - stdbuf -oL sh -c "${ENTRY}" - check_trainer_ret $? -} - -start_new_trainer() { - # FIXME(Yancey1989): use command-line interface to configure the max failed count - check_failed_cnt ${TRAINERS} - - master_label="paddle-job-master=${PADDLE_JOB_NAME}" - pserver_label="paddle-job-pserver=${PADDLE_JOB_NAME}" - - stdbuf -oL python /root/k8s_tools.py wait_pods_running ${pserver_label} ${PSERVERS} - sleep 5 - stdbuf -oL python /root/k8s_tools.py wait_pods_running ${master_label} 1 - export MASTER_IP=$(python /root/k8s_tools.py fetch_ips ${master_label}) - export ETCD_IP="$MASTER_IP" - - # NOTE: $TRAINER_PACKAGE may be large, do not copy - export PYTHONPATH=$TRAINER_PACKAGE:$PYTHONPATH - cd $TRAINER_PACKAGE - - stdbuf -oL echo "Starting training job: " $TRAINER_PACKAGE, "num_gradient_servers:" \ - $PADDLE_INIT_NUM_GRADIENT_SERVERS, "version: " $1 - - stdbuf -oL sh -c "${ENTRY}" - check_trainer_ret $? -} - -start_trainer() { - # paddle v1 and V2 distributed training does not allow any trainer failed. - check_failed_cnt 0 - - pserver_label="paddle-job-pserver=${PADDLE_JOB_NAME}" - trainer_label="paddle-job=${PADDLE_JOB_NAME}" - - stdbuf -oL python /root/k8s_tools.py wait_pods_running ${pserver_label} ${PSERVERS} - stdbuf -oL python /root/k8s_tools.py wait_pods_running ${trainer_label} ${TRAINERS} - - export PADDLE_INIT_PSERVERS=$(python /root/k8s_tools.py fetch_ips ${pserver_label}) - export PADDLE_INIT_TRAINER_ID=$(python /root/k8s_tools.py fetch_id ${trainer_label}) - stdbuf -oL echo $PADDLE_INIT_TRAINER_ID > /trainer_id - # FIXME: /trainer_count = PADDLE_INIT_NUM_GRADIENT_SERVERS - stdbuf -oL echo $PADDLE_INIT_NUM_GRADIENT_SERVERS > /trainer_count - - # NOTE: $TRAINER_PACKAGE may be large, do not copy - export PYTHONPATH=$TRAINER_PACKAGE:$PYTHONPATH - cd $TRAINER_PACKAGE - - stdbuf -oL echo "Starting training job: " $TRAINER_PACKAGE, "num_gradient_servers:" \ - $PADDLE_INIT_NUM_GRADIENT_SERVERS, "trainer_id: " $PADDLE_INIT_TRAINER_ID, \ - "version: " $1 - - # FIXME: If we use the new PServer by Golang, add Kubernetes healthz - # to wait PServer process get ready.Now only sleep 20 seconds. - sleep 20 - - case "$1" in - "v1") - FILE_COUNT=$(wc -l $TRAIN_LIST | awk '{print $1}') - if [ $FILE_COUNT -le $PADDLE_INIT_NUM_GRADIENT_SERVERS ]; then - echo "file count less than trainers" - check_trainer_ret 0 - fi - let lines_per_node="$FILE_COUNT / ($PADDLE_INIT_NUM_GRADIENT_SERVERS + 1)" - echo "spliting file to" $lines_per_node - cp $TRAIN_LIST / - cd / - split -l $lines_per_node -d -a 3 $TRAIN_LIST train.list - CURRENT_LIST=$(printf "train.list%03d" $PADDLE_INIT_TRAINER_ID) - # always use /train.list for paddle v1 for each node. - echo "File for current node ${CURRENT_LIST}" - sleep 10 - cp $CURRENT_LIST train.list - - cd $TRAINER_PACKAGE - - stdbuf -oL paddle train \ - --port=$PADDLE_INIT_PORT \ - --nics=$PADDLE_INIT_NICS \ - --ports_num=$PADDLE_INIT_PORTS_NUM \ - --ports_num_for_sparse=$PADDLE_INIT_PORTS_NUM_FOR_SPARSE \ - --num_passes=$PADDLE_INIT_NUM_PASSES \ - --trainer_count=$PADDLE_INIT_TRAINER_COUNT \ - --saving_period=1 \ - --log_period=20 \ - --local=0 \ - --rdma_tcp=tcp \ - --config=$TOPOLOGY \ - --use_gpu=$PADDLE_INIT_USE_GPU \ - --trainer_id=$PADDLE_INIT_TRAINER_ID \ - --save_dir=$OUTPUT \ - --pservers=$PADDLE_INIT_PSERVERS \ - --num_gradient_servers=$PADDLE_INIT_NUM_GRADIENT_SERVERS - # paddle v1 API does not allow any trainer failed. - check_trainer_ret $? - ;; - "v2") - stdbuf -oL sh -c "${ENTRY}" - # paddle v2 API does not allow any trainer failed. - check_trainer_ret $? - ;; - *) - ;; - esac -} - -usage() { - echo "usage: paddle_k8s []:" - echo " start_trainer [v1|v2] Start a trainer process with v1 or v2 API" - echo " start_pserver Start a pserver process" - echo " start_new_pserver Start a new pserver process" - echo " start_new_trainer Start a new triner process" -} - -case "$1" in - start_pserver) - start_pserver - ;; - start_trainer) - start_trainer $2 - ;; - start_new_trainer) - start_new_trainer - ;; - start_new_pserver) - start_new_pserver - ;; - start_master) - start_master - ;; - start_fluid) - start_fluid_process - ;; - --help) - usage - ;; - *) - usage - ;; -esac diff --git a/docker/pfs/build.sh b/docker/pfs/build.sh deleted file mode 100755 index 618253bb..00000000 --- a/docker/pfs/build.sh +++ /dev/null @@ -1,19 +0,0 @@ -cat > ./Dockerfile << EOF -FROM ubuntu:16.04 - -RUN apt-get update && \ - apt-get install -y wget git && \ - wget -O go.tgz https://storage.googleapis.com/golang/go1.8.1.linux-amd64.tar.gz && \ - tar -C /usr/local -xzf go.tgz && \ - mkdir /root/gopath && \ - rm go.tgz - -ENV GOROOT=/usr/local/go GOPATH=/root/gopath -ENV PATH=\${PATH}:\${GOROOT}/bin - -CMD ["sh", "-c", "cd /root/gopath/src/github.com/PaddlePaddle/cloud/go/cmd/pfsserver && go get ./... && go build"] -EOF - -docker build . -t pfsserver:dev - -rm -f Dockerfile diff --git a/glide.lock b/glide.lock index 1909f011..5136062b 100644 --- a/glide.lock +++ b/glide.lock @@ -1,14 +1,6 @@ -hash: dc954636d4f45f9c1701099d5cde3d3dd8fb01a21a82eca350a98d820f7f9f5f -updated: 2018-02-11T17:30:59.574062881+08:00 +hash: b583cdcf4c3f9b3a5ad36c509a476690c8ee3c9e96e10b899ce077f5f075cdf9 +updated: 2018-03-02T14:11:31.695488-08:00 imports: -- name: bitbucket.org/zombiezen/gopdf - version: 1c63dc69751bc45441c2ce1f56b631c55294b4d5 - subpackages: - - pdf -- name: github.com/ajstarks/svgo - version: f9be02f22f2c23fbdd01ed76e5c7f5af79e13f9b -- name: github.com/bitly/go-simplejson - version: aabad6e819789e569bd6aabf444c935aa9ba1e44 - name: github.com/davecgh/go-spew version: 782f4967f2dc4564575ca782fe2d04090b5faca8 subpackages: @@ -19,8 +11,6 @@ imports: - log - name: github.com/emicklei/go-restful-swagger12 version: dcef7f55730566d41eae5db10e7d6981829720f6 -- name: github.com/fatih/color - version: 5df930a27be2502f99b292b7cc09ebad4d0891f4 - name: github.com/ghodss/yaml version: 73d445a93680fa1a78ae23a5839bad48f32ba1ee - name: github.com/go-openapi/jsonpointer @@ -38,11 +28,6 @@ imports: subpackages: - proto - sortkeys -- name: github.com/golang/freetype - version: e2365dfdc4a05e4b8299a783240d4a7d5a65d4e4 - subpackages: - - raster - - truetype - name: github.com/golang/glog version: 44145f04b68cf362d9c4df2182967c2275eaefed - name: github.com/golang/protobuf @@ -57,18 +42,12 @@ imports: version: 7d79101e329e5a3adf994758c578dab82b90c017 - name: github.com/google/gofuzz version: 44d81051d367757e1c7c6a5a86423ece9afcf63c -- name: github.com/google/subcommands - version: ce3d4cfc062faac7115d44e5befec8b5a08c3faa - name: github.com/googleapis/gnostic version: 0c5108395e2debce0d731cf0287ddf7242066aba subpackages: - OpenAPIv2 - compiler - extensions -- name: github.com/gorilla/context - version: 215affda49addc4c8ef7e2534915df2c8c35c6cd -- name: github.com/gorilla/mux - version: 53c1911da2b537f792e7cafcb446b05ffe33b996 - name: github.com/gregjones/httpcache version: 787624de3eb7bd915c329cba748687a3b22666a6 subpackages: @@ -87,13 +66,6 @@ imports: version: 36b14963da70d11297d313183d7e6388c8510e1e - name: github.com/juju/ratelimit version: 5b9ff866471762aa2ab2dced63c9fb6f53921342 -- name: github.com/llgcode/draw2d - version: 274031cf2abe8acd15c4a911e1f7f1295fc4830c - subpackages: - - draw2dbase - - draw2dimg -- name: github.com/lucasb-eyer/go-colorful - version: 231272389856c976b7500c4fffcc52ddf06ff4eb - name: github.com/mailru/easyjson version: d5b7844b561a7bc640052f1b935f7b800330d7e0 subpackages: @@ -118,19 +90,11 @@ imports: version: 81e90905daefcd6fd217b62423c0908922eadb30 subpackages: - ssh/terminal -- name: golang.org/x/image - version: 12117c17ca67ffa1ce22e9409f3b0b0a93ac08c7 - subpackages: - - draw - - font - - math/f64 - - math/fixed - - tiff - - tiff/lzw - name: golang.org/x/net version: 1c05540f6879653db88113bc4a2b70aec4bd491f subpackages: - context + - context/ctxhttp - http2 - http2/hpack - idna @@ -154,23 +118,10 @@ imports: - unicode/bidi - unicode/norm - width -- name: gonum.org/v1/plot - version: feab214a240f4312b98ab52baf662b55ff1ee377 - subpackages: - - palette - - plotter - - tools/bezier - - vg - - vg/draw - - vg/fonts - - vg/vgeps - - vg/vgimg - - vg/vgpdf - - vg/vgsvg - name: gopkg.in/inf.v0 version: 3887ee99ecf07df5b447e9b00d9c0b2adaa9f3e4 - name: gopkg.in/yaml.v2 - version: d670f9405373e636a5a2765eea47fac0c9bc91a4 + version: 53feefa2559fb8dfa8d81baad31be332c97d6c77 - name: k8s.io/api version: 389dfa299845bcf399c16af89987e8775718ea48 subpackages: @@ -199,7 +150,7 @@ imports: - storage/v1 - storage/v1beta1 - name: k8s.io/apimachinery - version: bc110fd540ab678abbf2bc71d9ce908eb9325ef6 + version: 019ae5ada31de202164b118aee88ee2d14075c31 subpackages: - pkg/api/equality - pkg/api/errors @@ -232,23 +183,29 @@ imports: - pkg/util/diff - pkg/util/errors - pkg/util/framer + - pkg/util/httpstream + - pkg/util/httpstream/spdy - pkg/util/intstr - pkg/util/json + - pkg/util/mergepatch - pkg/util/net + - pkg/util/remotecommand - pkg/util/runtime - pkg/util/sets + - pkg/util/strategicpatch - pkg/util/validation - pkg/util/validation/field - pkg/util/wait - pkg/util/yaml - pkg/version - pkg/watch + - third_party/forked/golang/json + - third_party/forked/golang/netutil - third_party/forked/golang/reflect - name: k8s.io/client-go version: 35874c597fed17ca62cd197e516d7d5ff9a2958c subpackages: - discovery - - discovery/fake - kubernetes - kubernetes/scheme - kubernetes/typed/admissionregistration/v1alpha1 @@ -278,7 +235,6 @@ imports: - pkg/version - rest - rest/watch - - testing - tools/auth - tools/cache - tools/clientcmd @@ -293,14 +249,12 @@ imports: - util/flowcontrol - util/homedir - util/integer -- name: k8s.io/code-generator - version: 25fd8c8ddbf75b223882df4479f8b8e615da05ae - name: k8s.io/kube-openapi version: 868f2f29720b192240e18284659231b440f9cda5 subpackages: - pkg/common - name: k8s.io/kubernetes - version: 849d464b18a9897b5aa696a14420914b6abbb0ca + version: ed7147fdc1fa64981096eb76b86001eac0f00af6 subpackages: - pkg/api testImports: @@ -312,4 +266,3 @@ testImports: version: f6abca593680b2315d2075e0f5e2a9751e3f431a subpackages: - assert - - require diff --git a/glide.yaml b/glide.yaml index 8497dbb8..3333f431 100644 --- a/glide.yaml +++ b/glide.yaml @@ -1,25 +1,11 @@ -package: github.com/PaddlePaddle/cloud +package: github.com/paddlepaddle/edl import: -- package: github.com/bitly/go-simplejson - version: ^0.5.0 -- package: github.com/golang/glog -- package: github.com/google/subcommands -- package: github.com/gorilla/mux - version: ^1.4.0 -- package: gopkg.in/yaml.v2 -- package: github.com/fatih/color - package: k8s.io/client-go - version: v5.0.0 + version: kubernetes-1.8.0 - package: k8s.io/kubernetes version: release-1.8 - package: k8s.io/api version: release-1.8 - package: github.com/inconshreveable/log15 version: v2.13 -- package: github.com/go-stack/stack - version: v1.6.0 -- package: k8s.io/code-generator - version: kubernetes-1.8.5 - package: github.com/wangkuiyi/candy -- package: gonum.org/v1/plot -- package: github.com/lucasb-eyer/go-colorful diff --git a/go/.gitignore b/go/.gitignore deleted file mode 100644 index c27f2914..00000000 --- a/go/.gitignore +++ /dev/null @@ -1 +0,0 @@ -.glide/ diff --git a/go/Dockerfile b/go/Dockerfile deleted file mode 100644 index a12b202a..00000000 --- a/go/Dockerfile +++ /dev/null @@ -1,3 +0,0 @@ -FROM ubuntu:16.04 -ADD ./cmd/pfsserver/pfsserver /pfsserver/ -RUN mkdir /pfsserver/log diff --git a/go/apis/paddlepaddle/register.go b/go/apis/paddlepaddle/register.go deleted file mode 100644 index 90d23c9b..00000000 --- a/go/apis/paddlepaddle/register.go +++ /dev/null @@ -1,22 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ - -package paddlepaddle - -const ( - // GroupName is the name of group. - GroupName = "paddlepaddle.org" -) diff --git a/go/apis/paddlepaddle/v1/doc.go b/go/apis/paddlepaddle/v1/doc.go deleted file mode 100644 index 42a1dbc5..00000000 --- a/go/apis/paddlepaddle/v1/doc.go +++ /dev/null @@ -1,21 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ - -// +k8s:deepcopy-gen=package - -// Package v1 is the v1 version of the API. -// +groupName=paddlepaddle.org -package v1 diff --git a/go/apis/paddlepaddle/v1/register.go b/go/apis/paddlepaddle/v1/register.go deleted file mode 100644 index 84239b68..00000000 --- a/go/apis/paddlepaddle/v1/register.go +++ /dev/null @@ -1,32 +0,0 @@ -package v1 - -import ( - metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" - "k8s.io/apimachinery/pkg/runtime" - "k8s.io/apimachinery/pkg/runtime/schema" -) - -var ( - // SchemeBuilder will call register - SchemeBuilder = runtime.NewSchemeBuilder(addKnownTypes) - // AddToScheme will apply all the stored functions to the scheme - AddToScheme = SchemeBuilder.AddToScheme -) - -// SchemeGroupVersion is the group version used to register these objects. -var SchemeGroupVersion = schema.GroupVersion{Group: CRDGroup, Version: CRDVersion} - -// Resource takes an unqualified resource and returns a Group-qualified GroupResource. -func Resource(resource string) schema.GroupResource { - return SchemeGroupVersion.WithResource(resource).GroupResource() -} - -// addKnownTypes adds the set of types defined in this package to the supplied scheme. -func addKnownTypes(scheme *runtime.Scheme) error { - scheme.AddKnownTypes(SchemeGroupVersion, - &TrainingJob{}, - &TrainingJobList{}, - ) - metav1.AddToGroupVersion(scheme, SchemeGroupVersion) - return nil -} diff --git a/go/apis/paddlepaddle/v1/types.go b/go/apis/paddlepaddle/v1/types.go deleted file mode 100644 index dbf8039c..00000000 --- a/go/apis/paddlepaddle/v1/types.go +++ /dev/null @@ -1,171 +0,0 @@ -package v1 - -import ( - "fmt" - - batchv1 "k8s.io/api/batch/v1" - apiv1 "k8s.io/api/core/v1" - v1beta1 "k8s.io/api/extensions/v1beta1" - metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" -) - -const ( - // CRDKind is the kind of K8s CRD. - CRDKind = "TrainingJob" - // CRDKindPlural is the plural of CRDKind. - CRDKindPlural = "trainingjobs" - // CRDShortName is the short name of CRD. - CRDShortName = "tj" - // CRDGroup is the name of group. - CRDGroup = "paddlepaddle.org" - // CRDVersion is the version of CRD. - CRDVersion = "v1" -) - -// CRDName returns name of crd -func CRDName() string { - return fmt.Sprintf("%s.%s", CRDKindPlural, CRDGroup) -} - -// +genclient -// +genclient:noStatus -// +k8s:deepcopy-gen:interfaces=k8s.io/apimachinery/pkg/runtime.Object -// +resource:path=trainingjob - -// TrainingJob is a specification for a TrainingJob resource -type TrainingJob struct { - metav1.TypeMeta `json:",inline"` - metav1.ObjectMeta `json:"metadata,omitempty"` - Spec TrainingJobSpec `json:"spec"` - Status TrainingJobStatus `json:"status"` -} - -// TrainingJobSpec is the spec for a TrainingJob resource -type TrainingJobSpec struct { - // General job attributes. - Image string `json:"image,omitempty"` - // If you want to use the hostnetwork instead of container network - // portmanager is necessary. About portmanager, please refer to - // https://github.com/PaddlePaddle/cloud/blob/develop/doc/hostnetwork/hostnetwork.md - HostNetwork bool `json:"host_network,omitempty"` - Port int `json:"port,omitempty"` - PortsNum int `json:"ports_num,omitempty"` - PortsNumForSparse int `json:"ports_num_for_sparse,omitempty"` - FaultTolerant bool `json:"fault_tolerant,omitempty"` - Passes int `json:"passes,omitempty"` - Volumes []apiv1.Volume `json:"volumes"` - VolumeMounts []apiv1.VolumeMount `json:"VolumeMounts"` - //TrainingJob components. - Master MasterSpec `json:"master"` - Pserver PserverSpec `json:"pserver"` - Trainer TrainerSpec `json:"trainer"` -} - -// MasterSpec is the spec for a master in the paddle job -type MasterSpec struct { - EtcdEndpoint string `json:"etcd-endpoint"` - Resources apiv1.ResourceRequirements `json:"resources"` - ReplicaSpec *v1beta1.ReplicaSet `json:"replicaSpec"` -} - -// PserverSpec is the spec for pservers in the paddle job -type PserverSpec struct { - MinInstance int `json:"min-instance"` - MaxInstance int `json:"max-instance"` - Resources apiv1.ResourceRequirements `json:"resources"` - ReplicaSpec *v1beta1.ReplicaSet `json:"replicaSpec"` -} - -// TrainerSpec is the spec for trainers in the paddle job -type TrainerSpec struct { - EtcdEndpoint string `json:"etcd-endpoint"` - Entrypoint string `json:"entrypoint"` - Workspace string `json:"workspace"` - MinInstance int `json:"min-instance"` - MaxInstance int `json:"max-instance"` - Resources apiv1.ResourceRequirements `json:"resources"` - ReplicaSpec *batchv1.Job `json:"replicaSpec"` -} - -// TrainingJobPhase is the phase of TrainingJob -type TrainingJobPhase string - -const ( - // TrainingJobPhaseNone is empty TrainingJobPhase. - TrainingJobPhaseNone TrainingJobPhase = "" - // TrainingJobPhaseCreating is creating TrainingJobPhase. - TrainingJobPhaseCreating = "creating" - // TrainingJobPhaseRunning is running TrainingJobPhase. - TrainingJobPhaseRunning = "running" - // TrainingJobPhaseSucceeded is succeeded TrainingJobPhase. - TrainingJobPhaseSucceeded = "succeeded" - // TrainingJobPhaseFailed is failed TrainingJobPhase. - TrainingJobPhaseFailed = "failed" -) - -// TrainerJobScaleStatus is status of trainer jobs. -type TrainerJobScaleStatus struct { -} - -// TrainingResourceType the type of TrainingJob resource, include MASTER PSERVER and TRAINER -type TrainingResourceType string - -const ( - // MASTER is the master name of TrainingResourceType. - MASTER TrainingResourceType = "MASTER" - // PSERVER is the pserver name of TrainingResourceType. - PSERVER TrainingResourceType = "PSERVER" - // TRAINER is the trainer name of TrainingResourceType. - TRAINER TrainingResourceType = "TRAINER" -) - -// ResourceState is the state of a type of resource -type ResourceState string - -const ( - // ResourceStateNone is the initial state of training job - ResourceStateNone ResourceState = "" - // ResourceStateStarting is the starting state of ResourceState. - ResourceStateStarting = "starting" - // ResourceStateRunning is the running state of ResourceState. - ResourceStateRunning = "running" - // ResourceStateFailed is the failed state of ResourceState. - ResourceStateFailed = "failed" - // ResourceStateSucceeded is the succeeded state of ResourceState - ResourceStateSucceeded = "succeeded" -) - -// TrainingResourceStatus is the status of every resource -type TrainingResourceStatus struct { - // TrainingResourceType the type of TrainingJob resource, include MASTER PSERVER and TRAINER - TrainingResourceType `json:"training_resource_type"` - // State is the state of a type of resource - State ResourceState `json:"state"` - // ResourceStates is the number of resource in different state - ResourceStates map[ResourceState]int `json:"resource_states"` -} - -// TrainingJobStatus is the status for a TrainingJob resource. -type TrainingJobStatus struct { - // Phase is phase of TrainingJob - Phase TrainingJobPhase `json:"phase"` - // Reason is the reason of job phase failed - Reason string `json:"reason"` - // ScaleStatus is autoscale status of trainer jobs - // TODO(ZhengQi): this will used in autoscale mode in future. - ScaleStatus TrainerJobScaleStatus `json:"scale_status"` - // ReplicaStatuses is detail status of resources - // TODO(ZhengQi): should we only considered trainer job now? - ReplicaStatuses []*TrainingResourceStatus `json:"replica_statuses"` -} - -// +k8s:deepcopy-gen:interfaces=k8s.io/apimachinery/pkg/runtime.Object -// +resource:path=trainingjobs - -// TrainingJobList is a list of TrainingJob resources -type TrainingJobList struct { - metav1.TypeMeta `json:",inline"` - metav1.ListMeta `json:"metadata"` - // Items means the list of paddle job/TrainingJob - Items []TrainingJob `json:"items"` -} diff --git a/go/apis/paddlepaddle/v1/zz_generated.deepcopy.go b/go/apis/paddlepaddle/v1/zz_generated.deepcopy.go deleted file mode 100644 index 737b8d28..00000000 --- a/go/apis/paddlepaddle/v1/zz_generated.deepcopy.go +++ /dev/null @@ -1,315 +0,0 @@ -// +build !ignore_autogenerated - -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This file was autogenerated by deepcopy-gen. Do not edit it manually! - -package v1 - -import ( - batch_v1 "k8s.io/api/batch/v1" - core_v1 "k8s.io/api/core/v1" - v1beta1 "k8s.io/api/extensions/v1beta1" - conversion "k8s.io/apimachinery/pkg/conversion" - runtime "k8s.io/apimachinery/pkg/runtime" - reflect "reflect" -) - -// GetGeneratedDeepCopyFuncs returns the generated funcs, since we aren't registering them. -// -// Deprecated: deepcopy registration will go away when static deepcopy is fully implemented. -func GetGeneratedDeepCopyFuncs() []conversion.GeneratedDeepCopyFunc { - return []conversion.GeneratedDeepCopyFunc{ - {Fn: func(in interface{}, out interface{}, c *conversion.Cloner) error { - in.(*MasterSpec).DeepCopyInto(out.(*MasterSpec)) - return nil - }, InType: reflect.TypeOf(&MasterSpec{})}, - {Fn: func(in interface{}, out interface{}, c *conversion.Cloner) error { - in.(*PserverSpec).DeepCopyInto(out.(*PserverSpec)) - return nil - }, InType: reflect.TypeOf(&PserverSpec{})}, - {Fn: func(in interface{}, out interface{}, c *conversion.Cloner) error { - in.(*TrainerJobScaleStatus).DeepCopyInto(out.(*TrainerJobScaleStatus)) - return nil - }, InType: reflect.TypeOf(&TrainerJobScaleStatus{})}, - {Fn: func(in interface{}, out interface{}, c *conversion.Cloner) error { - in.(*TrainerSpec).DeepCopyInto(out.(*TrainerSpec)) - return nil - }, InType: reflect.TypeOf(&TrainerSpec{})}, - {Fn: func(in interface{}, out interface{}, c *conversion.Cloner) error { - in.(*TrainingJob).DeepCopyInto(out.(*TrainingJob)) - return nil - }, InType: reflect.TypeOf(&TrainingJob{})}, - {Fn: func(in interface{}, out interface{}, c *conversion.Cloner) error { - in.(*TrainingJobList).DeepCopyInto(out.(*TrainingJobList)) - return nil - }, InType: reflect.TypeOf(&TrainingJobList{})}, - {Fn: func(in interface{}, out interface{}, c *conversion.Cloner) error { - in.(*TrainingJobSpec).DeepCopyInto(out.(*TrainingJobSpec)) - return nil - }, InType: reflect.TypeOf(&TrainingJobSpec{})}, - {Fn: func(in interface{}, out interface{}, c *conversion.Cloner) error { - in.(*TrainingJobStatus).DeepCopyInto(out.(*TrainingJobStatus)) - return nil - }, InType: reflect.TypeOf(&TrainingJobStatus{})}, - {Fn: func(in interface{}, out interface{}, c *conversion.Cloner) error { - in.(*TrainingResourceStatus).DeepCopyInto(out.(*TrainingResourceStatus)) - return nil - }, InType: reflect.TypeOf(&TrainingResourceStatus{})}, - } -} - -// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. -func (in *MasterSpec) DeepCopyInto(out *MasterSpec) { - *out = *in - in.Resources.DeepCopyInto(&out.Resources) - if in.ReplicaSpec != nil { - in, out := &in.ReplicaSpec, &out.ReplicaSpec - if *in == nil { - *out = nil - } else { - *out = new(v1beta1.ReplicaSet) - (*in).DeepCopyInto(*out) - } - } - return -} - -// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new MasterSpec. -func (in *MasterSpec) DeepCopy() *MasterSpec { - if in == nil { - return nil - } - out := new(MasterSpec) - in.DeepCopyInto(out) - return out -} - -// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. -func (in *PserverSpec) DeepCopyInto(out *PserverSpec) { - *out = *in - in.Resources.DeepCopyInto(&out.Resources) - if in.ReplicaSpec != nil { - in, out := &in.ReplicaSpec, &out.ReplicaSpec - if *in == nil { - *out = nil - } else { - *out = new(v1beta1.ReplicaSet) - (*in).DeepCopyInto(*out) - } - } - return -} - -// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new PserverSpec. -func (in *PserverSpec) DeepCopy() *PserverSpec { - if in == nil { - return nil - } - out := new(PserverSpec) - in.DeepCopyInto(out) - return out -} - -// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. -func (in *TrainerJobScaleStatus) DeepCopyInto(out *TrainerJobScaleStatus) { - *out = *in - return -} - -// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TrainerJobScaleStatus. -func (in *TrainerJobScaleStatus) DeepCopy() *TrainerJobScaleStatus { - if in == nil { - return nil - } - out := new(TrainerJobScaleStatus) - in.DeepCopyInto(out) - return out -} - -// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. -func (in *TrainerSpec) DeepCopyInto(out *TrainerSpec) { - *out = *in - in.Resources.DeepCopyInto(&out.Resources) - if in.ReplicaSpec != nil { - in, out := &in.ReplicaSpec, &out.ReplicaSpec - if *in == nil { - *out = nil - } else { - *out = new(batch_v1.Job) - (*in).DeepCopyInto(*out) - } - } - return -} - -// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TrainerSpec. -func (in *TrainerSpec) DeepCopy() *TrainerSpec { - if in == nil { - return nil - } - out := new(TrainerSpec) - in.DeepCopyInto(out) - return out -} - -// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. -func (in *TrainingJob) DeepCopyInto(out *TrainingJob) { - *out = *in - out.TypeMeta = in.TypeMeta - in.ObjectMeta.DeepCopyInto(&out.ObjectMeta) - in.Spec.DeepCopyInto(&out.Spec) - in.Status.DeepCopyInto(&out.Status) - return -} - -// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TrainingJob. -func (in *TrainingJob) DeepCopy() *TrainingJob { - if in == nil { - return nil - } - out := new(TrainingJob) - in.DeepCopyInto(out) - return out -} - -// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. -func (in *TrainingJob) DeepCopyObject() runtime.Object { - if c := in.DeepCopy(); c != nil { - return c - } else { - return nil - } -} - -// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. -func (in *TrainingJobList) DeepCopyInto(out *TrainingJobList) { - *out = *in - out.TypeMeta = in.TypeMeta - out.ListMeta = in.ListMeta - if in.Items != nil { - in, out := &in.Items, &out.Items - *out = make([]TrainingJob, len(*in)) - for i := range *in { - (*in)[i].DeepCopyInto(&(*out)[i]) - } - } - return -} - -// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TrainingJobList. -func (in *TrainingJobList) DeepCopy() *TrainingJobList { - if in == nil { - return nil - } - out := new(TrainingJobList) - in.DeepCopyInto(out) - return out -} - -// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. -func (in *TrainingJobList) DeepCopyObject() runtime.Object { - if c := in.DeepCopy(); c != nil { - return c - } else { - return nil - } -} - -// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. -func (in *TrainingJobSpec) DeepCopyInto(out *TrainingJobSpec) { - *out = *in - if in.Volumes != nil { - in, out := &in.Volumes, &out.Volumes - *out = make([]core_v1.Volume, len(*in)) - for i := range *in { - (*in)[i].DeepCopyInto(&(*out)[i]) - } - } - if in.VolumeMounts != nil { - in, out := &in.VolumeMounts, &out.VolumeMounts - *out = make([]core_v1.VolumeMount, len(*in)) - for i := range *in { - (*in)[i].DeepCopyInto(&(*out)[i]) - } - } - in.Master.DeepCopyInto(&out.Master) - in.Pserver.DeepCopyInto(&out.Pserver) - in.Trainer.DeepCopyInto(&out.Trainer) - return -} - -// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TrainingJobSpec. -func (in *TrainingJobSpec) DeepCopy() *TrainingJobSpec { - if in == nil { - return nil - } - out := new(TrainingJobSpec) - in.DeepCopyInto(out) - return out -} - -// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. -func (in *TrainingJobStatus) DeepCopyInto(out *TrainingJobStatus) { - *out = *in - out.ScaleStatus = in.ScaleStatus - if in.ReplicaStatuses != nil { - in, out := &in.ReplicaStatuses, &out.ReplicaStatuses - *out = make([]*TrainingResourceStatus, len(*in)) - for i := range *in { - if (*in)[i] == nil { - (*out)[i] = nil - } else { - (*out)[i] = new(TrainingResourceStatus) - (*in)[i].DeepCopyInto((*out)[i]) - } - } - } - return -} - -// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TrainingJobStatus. -func (in *TrainingJobStatus) DeepCopy() *TrainingJobStatus { - if in == nil { - return nil - } - out := new(TrainingJobStatus) - in.DeepCopyInto(out) - return out -} - -// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. -func (in *TrainingResourceStatus) DeepCopyInto(out *TrainingResourceStatus) { - *out = *in - if in.ResourceStates != nil { - in, out := &in.ResourceStates, &out.ResourceStates - *out = make(map[ResourceState]int, len(*in)) - for key, val := range *in { - (*out)[key] = val - } - } - return -} - -// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TrainingResourceStatus. -func (in *TrainingResourceStatus) DeepCopy() *TrainingResourceStatus { - if in == nil { - return nil - } - out := new(TrainingResourceStatus) - in.DeepCopyInto(out) - return out -} diff --git a/go/cfs/cfs.go b/go/cfs/cfs.go deleted file mode 100644 index 56e42078..00000000 --- a/go/cfs/cfs.go +++ /dev/null @@ -1,80 +0,0 @@ -/* Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. */ - -package cfs - -// We can import a RB Tree implementation from here in initial -// implement, and refine it later - -// import ( -// "github.com/sakeven/RbTree" -// ) - -// PrioLevel is enum type indicating priority levels. -type PrioLevel int - -const ( - // Experiement priority level - Experiement PrioLevel = 0 - // Offline job - Offline = 3 - // Normal jobs - Normal = 7 - // Production level job - Production = 11 -) - -// Node is the atimic schedule unit for the scheduler. -type Node interface { - // GetPrio returns the current priority level. - GetPrio() PrioLevel - // SetPrio set the node priority level directly. - SetPrio(prio PrioLevel) - - // MaxInstances returns the desired max parallelism of the job. - MaxInstances() int - // MinInstances returns the minimal parallelism the job can be running. - MinInstances() int - // ResourceScore returns resource score of a single pod. It's - // caculated by sum(weight*ResourceValue). - ResourceScore() int64 - - // Expected returns expected parallelism (how much pods) to run for - // current scheduling step. - Expected() int64 - // Running returns the current parrallelism of the node. - // If Running == 0 means the job is waiting for resources. - Running() int64 - - // Obj returns inner scheduling unit. - Obj() *interface{} -} - -// GpuPriorityCFS is a scheduler to schedule jobs/processes to use -// multiple kind of processers, like both CPU and GPU, or mix with FPGA etc. -type GpuPriorityCFS interface { - // AddNode insert new node to the scheduler. - AddNode(node *Node) error - // DelNode remove the completed node from scheduler. - DelNode(node *Node) error - // GetLeftMost return the smallest valued node in the scheduler's tree. - GetLeftMost() *Node - // GetRightMost return the maximum valued node in the scheduler's tree. - GetRightMost() *Node - // Len return number of nodes in the scheduler. - Len() int - - // Tranverse go thought every nodes in the scheduler. - Tranverse(callback ...func(*Node)) error -} diff --git a/go/client/clientset/versioned/clientset.go b/go/client/clientset/versioned/clientset.go deleted file mode 100644 index e22b2204..00000000 --- a/go/client/clientset/versioned/clientset.go +++ /dev/null @@ -1,96 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/package versioned - -import ( - paddlepaddlev1 "github.com/PaddlePaddle/cloud/go/client/clientset/versioned/typed/paddlepaddle/v1" - glog "github.com/golang/glog" - discovery "k8s.io/client-go/discovery" - rest "k8s.io/client-go/rest" - flowcontrol "k8s.io/client-go/util/flowcontrol" -) - -type Interface interface { - Discovery() discovery.DiscoveryInterface - PaddlepaddleV1() paddlepaddlev1.PaddlepaddleV1Interface - // Deprecated: please explicitly pick a version if possible. - Paddlepaddle() paddlepaddlev1.PaddlepaddleV1Interface -} - -// Clientset contains the clients for groups. Each group has exactly one -// version included in a Clientset. -type Clientset struct { - *discovery.DiscoveryClient - paddlepaddleV1 *paddlepaddlev1.PaddlepaddleV1Client -} - -// PaddlepaddleV1 retrieves the PaddlepaddleV1Client -func (c *Clientset) PaddlepaddleV1() paddlepaddlev1.PaddlepaddleV1Interface { - return c.paddlepaddleV1 -} - -// Deprecated: Paddlepaddle retrieves the default version of PaddlepaddleClient. -// Please explicitly pick a version. -func (c *Clientset) Paddlepaddle() paddlepaddlev1.PaddlepaddleV1Interface { - return c.paddlepaddleV1 -} - -// Discovery retrieves the DiscoveryClient -func (c *Clientset) Discovery() discovery.DiscoveryInterface { - if c == nil { - return nil - } - return c.DiscoveryClient -} - -// NewForConfig creates a new Clientset for the given config. -func NewForConfig(c *rest.Config) (*Clientset, error) { - configShallowCopy := *c - if configShallowCopy.RateLimiter == nil && configShallowCopy.QPS > 0 { - configShallowCopy.RateLimiter = flowcontrol.NewTokenBucketRateLimiter(configShallowCopy.QPS, configShallowCopy.Burst) - } - var cs Clientset - var err error - cs.paddlepaddleV1, err = paddlepaddlev1.NewForConfig(&configShallowCopy) - if err != nil { - return nil, err - } - - cs.DiscoveryClient, err = discovery.NewDiscoveryClientForConfig(&configShallowCopy) - if err != nil { - glog.Errorf("failed to create the DiscoveryClient: %v", err) - return nil, err - } - return &cs, nil -} - -// NewForConfigOrDie creates a new Clientset for the given config and -// panics if there is an error in the config. -func NewForConfigOrDie(c *rest.Config) *Clientset { - var cs Clientset - cs.paddlepaddleV1 = paddlepaddlev1.NewForConfigOrDie(c) - - cs.DiscoveryClient = discovery.NewDiscoveryClientForConfigOrDie(c) - return &cs -} - -// New creates a new Clientset for the given RESTClient. -func New(c rest.Interface) *Clientset { - var cs Clientset - cs.paddlepaddleV1 = paddlepaddlev1.New(c) - - cs.DiscoveryClient = discovery.NewDiscoveryClient(c) - return &cs -} diff --git a/go/client/clientset/versioned/doc.go b/go/client/clientset/versioned/doc.go deleted file mode 100644 index 97b89cd3..00000000 --- a/go/client/clientset/versioned/doc.go +++ /dev/null @@ -1,19 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This package is generated by client-gen with custom arguments. - -// This package has the automatically generated clientset. -package versioned diff --git a/go/client/clientset/versioned/fake/clientset_generated.go b/go/client/clientset/versioned/fake/clientset_generated.go deleted file mode 100644 index ed0307df..00000000 --- a/go/client/clientset/versioned/fake/clientset_generated.go +++ /dev/null @@ -1,69 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/package fake - -import ( - clientset "github.com/PaddlePaddle/cloud/go/client/clientset/versioned" - paddlepaddlev1 "github.com/PaddlePaddle/cloud/go/client/clientset/versioned/typed/paddlepaddle/v1" - fakepaddlepaddlev1 "github.com/PaddlePaddle/cloud/go/client/clientset/versioned/typed/paddlepaddle/v1/fake" - "k8s.io/apimachinery/pkg/runtime" - "k8s.io/apimachinery/pkg/watch" - "k8s.io/client-go/discovery" - fakediscovery "k8s.io/client-go/discovery/fake" - "k8s.io/client-go/testing" -) - -// NewSimpleClientset returns a clientset that will respond with the provided objects. -// It's backed by a very simple object tracker that processes creates, updates and deletions as-is, -// without applying any validations and/or defaults. It shouldn't be considered a replacement -// for a real clientset and is mostly useful in simple unit tests. -func NewSimpleClientset(objects ...runtime.Object) *Clientset { - o := testing.NewObjectTracker(scheme, codecs.UniversalDecoder()) - for _, obj := range objects { - if err := o.Add(obj); err != nil { - panic(err) - } - } - - fakePtr := testing.Fake{} - fakePtr.AddReactor("*", "*", testing.ObjectReaction(o)) - fakePtr.AddWatchReactor("*", testing.DefaultWatchReactor(watch.NewFake(), nil)) - - return &Clientset{fakePtr, &fakediscovery.FakeDiscovery{Fake: &fakePtr}} -} - -// Clientset implements clientset.Interface. Meant to be embedded into a -// struct to get a default implementation. This makes faking out just the method -// you want to test easier. -type Clientset struct { - testing.Fake - discovery *fakediscovery.FakeDiscovery -} - -func (c *Clientset) Discovery() discovery.DiscoveryInterface { - return c.discovery -} - -var _ clientset.Interface = &Clientset{} - -// PaddlepaddleV1 retrieves the PaddlepaddleV1Client -func (c *Clientset) PaddlepaddleV1() paddlepaddlev1.PaddlepaddleV1Interface { - return &fakepaddlepaddlev1.FakePaddlepaddleV1{Fake: &c.Fake} -} - -// Paddlepaddle retrieves the PaddlepaddleV1Client -func (c *Clientset) Paddlepaddle() paddlepaddlev1.PaddlepaddleV1Interface { - return &fakepaddlepaddlev1.FakePaddlepaddleV1{Fake: &c.Fake} -} diff --git a/go/client/clientset/versioned/fake/doc.go b/go/client/clientset/versioned/fake/doc.go deleted file mode 100644 index 98428601..00000000 --- a/go/client/clientset/versioned/fake/doc.go +++ /dev/null @@ -1,19 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This package is generated by client-gen with custom arguments. - -// This package has the automatically generated fake clientset. -package fake diff --git a/go/client/clientset/versioned/fake/register.go b/go/client/clientset/versioned/fake/register.go deleted file mode 100644 index ad1096a9..00000000 --- a/go/client/clientset/versioned/fake/register.go +++ /dev/null @@ -1,51 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/package fake - -import ( - paddlepaddlev1 "github.com/PaddlePaddle/cloud/go/apis/paddlepaddle/v1" - v1 "k8s.io/apimachinery/pkg/apis/meta/v1" - runtime "k8s.io/apimachinery/pkg/runtime" - schema "k8s.io/apimachinery/pkg/runtime/schema" - serializer "k8s.io/apimachinery/pkg/runtime/serializer" -) - -var scheme = runtime.NewScheme() -var codecs = serializer.NewCodecFactory(scheme) -var parameterCodec = runtime.NewParameterCodec(scheme) - -func init() { - v1.AddToGroupVersion(scheme, schema.GroupVersion{Version: "v1"}) - AddToScheme(scheme) -} - -// AddToScheme adds all types of this clientset into the given scheme. This allows composition -// of clientsets, like in: -// -// import ( -// "k8s.io/client-go/kubernetes" -// clientsetscheme "k8s.io/client-go/kuberentes/scheme" -// aggregatorclientsetscheme "k8s.io/kube-aggregator/pkg/client/clientset_generated/clientset/scheme" -// ) -// -// kclientset, _ := kubernetes.NewForConfig(c) -// aggregatorclientsetscheme.AddToScheme(clientsetscheme.Scheme) -// -// After this, RawExtensions in Kubernetes types will serialize kube-aggregator types -// correctly. -func AddToScheme(scheme *runtime.Scheme) { - paddlepaddlev1.AddToScheme(scheme) - -} diff --git a/go/client/clientset/versioned/scheme/doc.go b/go/client/clientset/versioned/scheme/doc.go deleted file mode 100644 index 962c99c1..00000000 --- a/go/client/clientset/versioned/scheme/doc.go +++ /dev/null @@ -1,19 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This package is generated by client-gen with custom arguments. - -// This package contains the scheme of the automatically generated clientset. -package scheme diff --git a/go/client/clientset/versioned/scheme/register.go b/go/client/clientset/versioned/scheme/register.go deleted file mode 100644 index 23226eab..00000000 --- a/go/client/clientset/versioned/scheme/register.go +++ /dev/null @@ -1,51 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/package scheme - -import ( - paddlepaddlev1 "github.com/PaddlePaddle/cloud/go/apis/paddlepaddle/v1" - v1 "k8s.io/apimachinery/pkg/apis/meta/v1" - runtime "k8s.io/apimachinery/pkg/runtime" - schema "k8s.io/apimachinery/pkg/runtime/schema" - serializer "k8s.io/apimachinery/pkg/runtime/serializer" -) - -var Scheme = runtime.NewScheme() -var Codecs = serializer.NewCodecFactory(Scheme) -var ParameterCodec = runtime.NewParameterCodec(Scheme) - -func init() { - v1.AddToGroupVersion(Scheme, schema.GroupVersion{Version: "v1"}) - AddToScheme(Scheme) -} - -// AddToScheme adds all types of this clientset into the given scheme. This allows composition -// of clientsets, like in: -// -// import ( -// "k8s.io/client-go/kubernetes" -// clientsetscheme "k8s.io/client-go/kuberentes/scheme" -// aggregatorclientsetscheme "k8s.io/kube-aggregator/pkg/client/clientset_generated/clientset/scheme" -// ) -// -// kclientset, _ := kubernetes.NewForConfig(c) -// aggregatorclientsetscheme.AddToScheme(clientsetscheme.Scheme) -// -// After this, RawExtensions in Kubernetes types will serialize kube-aggregator types -// correctly. -func AddToScheme(scheme *runtime.Scheme) { - paddlepaddlev1.AddToScheme(scheme) - -} diff --git a/go/client/clientset/versioned/typed/paddlepaddle/v1/doc.go b/go/client/clientset/versioned/typed/paddlepaddle/v1/doc.go deleted file mode 100644 index aa756941..00000000 --- a/go/client/clientset/versioned/typed/paddlepaddle/v1/doc.go +++ /dev/null @@ -1,19 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This package is generated by client-gen with custom arguments. - -// This package has the automatically generated typed clients. -package v1 diff --git a/go/client/clientset/versioned/typed/paddlepaddle/v1/fake/doc.go b/go/client/clientset/versioned/typed/paddlepaddle/v1/fake/doc.go deleted file mode 100644 index 600b5875..00000000 --- a/go/client/clientset/versioned/typed/paddlepaddle/v1/fake/doc.go +++ /dev/null @@ -1,19 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This package is generated by client-gen with custom arguments. - -// Package fake has the automatically generated clients. -package fake diff --git a/go/client/clientset/versioned/typed/paddlepaddle/v1/fake/fake_paddlepaddle_client.go b/go/client/clientset/versioned/typed/paddlepaddle/v1/fake/fake_paddlepaddle_client.go deleted file mode 100644 index 9b82da99..00000000 --- a/go/client/clientset/versioned/typed/paddlepaddle/v1/fake/fake_paddlepaddle_client.go +++ /dev/null @@ -1,36 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/package fake - -import ( - v1 "github.com/PaddlePaddle/cloud/go/client/clientset/versioned/typed/paddlepaddle/v1" - rest "k8s.io/client-go/rest" - testing "k8s.io/client-go/testing" -) - -type FakePaddlepaddleV1 struct { - *testing.Fake -} - -func (c *FakePaddlepaddleV1) TrainingJobs(namespace string) v1.TrainingJobInterface { - return &FakeTrainingJobs{c, namespace} -} - -// RESTClient returns a RESTClient that is used to communicate -// with API server by this client implementation. -func (c *FakePaddlepaddleV1) RESTClient() rest.Interface { - var ret *rest.RESTClient - return ret -} diff --git a/go/client/clientset/versioned/typed/paddlepaddle/v1/fake/fake_trainingjob.go b/go/client/clientset/versioned/typed/paddlepaddle/v1/fake/fake_trainingjob.go deleted file mode 100644 index 8a065d91..00000000 --- a/go/client/clientset/versioned/typed/paddlepaddle/v1/fake/fake_trainingjob.go +++ /dev/null @@ -1,124 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/package fake - -import ( - paddlepaddle_v1 "github.com/PaddlePaddle/cloud/go/apis/paddlepaddle/v1" - v1 "k8s.io/apimachinery/pkg/apis/meta/v1" - labels "k8s.io/apimachinery/pkg/labels" - schema "k8s.io/apimachinery/pkg/runtime/schema" - types "k8s.io/apimachinery/pkg/types" - watch "k8s.io/apimachinery/pkg/watch" - testing "k8s.io/client-go/testing" -) - -// FakeTrainingJobs implements TrainingJobInterface -type FakeTrainingJobs struct { - Fake *FakePaddlepaddleV1 - ns string -} - -var trainingjobsResource = schema.GroupVersionResource{Group: "paddlepaddle.org", Version: "v1", Resource: "trainingjobs"} - -var trainingjobsKind = schema.GroupVersionKind{Group: "paddlepaddle.org", Version: "v1", Kind: "TrainingJob"} - -// Get takes name of the trainingJob, and returns the corresponding trainingJob object, and an error if there is any. -func (c *FakeTrainingJobs) Get(name string, options v1.GetOptions) (result *paddlepaddle_v1.TrainingJob, err error) { - obj, err := c.Fake. - Invokes(testing.NewGetAction(trainingjobsResource, c.ns, name), &paddlepaddle_v1.TrainingJob{}) - - if obj == nil { - return nil, err - } - return obj.(*paddlepaddle_v1.TrainingJob), err -} - -// List takes label and field selectors, and returns the list of TrainingJobs that match those selectors. -func (c *FakeTrainingJobs) List(opts v1.ListOptions) (result *paddlepaddle_v1.TrainingJobList, err error) { - obj, err := c.Fake. - Invokes(testing.NewListAction(trainingjobsResource, trainingjobsKind, c.ns, opts), &paddlepaddle_v1.TrainingJobList{}) - - if obj == nil { - return nil, err - } - - label, _, _ := testing.ExtractFromListOptions(opts) - if label == nil { - label = labels.Everything() - } - list := &paddlepaddle_v1.TrainingJobList{} - for _, item := range obj.(*paddlepaddle_v1.TrainingJobList).Items { - if label.Matches(labels.Set(item.Labels)) { - list.Items = append(list.Items, item) - } - } - return list, err -} - -// Watch returns a watch.Interface that watches the requested trainingJobs. -func (c *FakeTrainingJobs) Watch(opts v1.ListOptions) (watch.Interface, error) { - return c.Fake. - InvokesWatch(testing.NewWatchAction(trainingjobsResource, c.ns, opts)) - -} - -// Create takes the representation of a trainingJob and creates it. Returns the server's representation of the trainingJob, and an error, if there is any. -func (c *FakeTrainingJobs) Create(trainingJob *paddlepaddle_v1.TrainingJob) (result *paddlepaddle_v1.TrainingJob, err error) { - obj, err := c.Fake. - Invokes(testing.NewCreateAction(trainingjobsResource, c.ns, trainingJob), &paddlepaddle_v1.TrainingJob{}) - - if obj == nil { - return nil, err - } - return obj.(*paddlepaddle_v1.TrainingJob), err -} - -// Update takes the representation of a trainingJob and updates it. Returns the server's representation of the trainingJob, and an error, if there is any. -func (c *FakeTrainingJobs) Update(trainingJob *paddlepaddle_v1.TrainingJob) (result *paddlepaddle_v1.TrainingJob, err error) { - obj, err := c.Fake. - Invokes(testing.NewUpdateAction(trainingjobsResource, c.ns, trainingJob), &paddlepaddle_v1.TrainingJob{}) - - if obj == nil { - return nil, err - } - return obj.(*paddlepaddle_v1.TrainingJob), err -} - -// Delete takes name of the trainingJob and deletes it. Returns an error if one occurs. -func (c *FakeTrainingJobs) Delete(name string, options *v1.DeleteOptions) error { - _, err := c.Fake. - Invokes(testing.NewDeleteAction(trainingjobsResource, c.ns, name), &paddlepaddle_v1.TrainingJob{}) - - return err -} - -// DeleteCollection deletes a collection of objects. -func (c *FakeTrainingJobs) DeleteCollection(options *v1.DeleteOptions, listOptions v1.ListOptions) error { - action := testing.NewDeleteCollectionAction(trainingjobsResource, c.ns, listOptions) - - _, err := c.Fake.Invokes(action, &paddlepaddle_v1.TrainingJobList{}) - return err -} - -// Patch applies the patch and returns the patched trainingJob. -func (c *FakeTrainingJobs) Patch(name string, pt types.PatchType, data []byte, subresources ...string) (result *paddlepaddle_v1.TrainingJob, err error) { - obj, err := c.Fake. - Invokes(testing.NewPatchSubresourceAction(trainingjobsResource, c.ns, name, data, subresources...), &paddlepaddle_v1.TrainingJob{}) - - if obj == nil { - return nil, err - } - return obj.(*paddlepaddle_v1.TrainingJob), err -} diff --git a/go/client/clientset/versioned/typed/paddlepaddle/v1/generated_expansion.go b/go/client/clientset/versioned/typed/paddlepaddle/v1/generated_expansion.go deleted file mode 100644 index 4a471c78..00000000 --- a/go/client/clientset/versioned/typed/paddlepaddle/v1/generated_expansion.go +++ /dev/null @@ -1,17 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/package v1 - -type TrainingJobExpansion interface{} diff --git a/go/client/clientset/versioned/typed/paddlepaddle/v1/paddlepaddle_client.go b/go/client/clientset/versioned/typed/paddlepaddle/v1/paddlepaddle_client.go deleted file mode 100644 index 0a1474ed..00000000 --- a/go/client/clientset/versioned/typed/paddlepaddle/v1/paddlepaddle_client.go +++ /dev/null @@ -1,86 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/package v1 - -import ( - v1 "github.com/PaddlePaddle/cloud/go/apis/paddlepaddle/v1" - "github.com/PaddlePaddle/cloud/go/client/clientset/versioned/scheme" - serializer "k8s.io/apimachinery/pkg/runtime/serializer" - rest "k8s.io/client-go/rest" -) - -type PaddlepaddleV1Interface interface { - RESTClient() rest.Interface - TrainingJobsGetter -} - -// PaddlepaddleV1Client is used to interact with features provided by the paddlepaddle.org group. -type PaddlepaddleV1Client struct { - restClient rest.Interface -} - -func (c *PaddlepaddleV1Client) TrainingJobs(namespace string) TrainingJobInterface { - return newTrainingJobs(c, namespace) -} - -// NewForConfig creates a new PaddlepaddleV1Client for the given config. -func NewForConfig(c *rest.Config) (*PaddlepaddleV1Client, error) { - config := *c - if err := setConfigDefaults(&config); err != nil { - return nil, err - } - client, err := rest.RESTClientFor(&config) - if err != nil { - return nil, err - } - return &PaddlepaddleV1Client{client}, nil -} - -// NewForConfigOrDie creates a new PaddlepaddleV1Client for the given config and -// panics if there is an error in the config. -func NewForConfigOrDie(c *rest.Config) *PaddlepaddleV1Client { - client, err := NewForConfig(c) - if err != nil { - panic(err) - } - return client -} - -// New creates a new PaddlepaddleV1Client for the given RESTClient. -func New(c rest.Interface) *PaddlepaddleV1Client { - return &PaddlepaddleV1Client{c} -} - -func setConfigDefaults(config *rest.Config) error { - gv := v1.SchemeGroupVersion - config.GroupVersion = &gv - config.APIPath = "/apis" - config.NegotiatedSerializer = serializer.DirectCodecFactory{CodecFactory: scheme.Codecs} - - if config.UserAgent == "" { - config.UserAgent = rest.DefaultKubernetesUserAgent() - } - - return nil -} - -// RESTClient returns a RESTClient that is used to communicate -// with API server by this client implementation. -func (c *PaddlepaddleV1Client) RESTClient() rest.Interface { - if c == nil { - return nil - } - return c.restClient -} diff --git a/go/client/clientset/versioned/typed/paddlepaddle/v1/trainingjob.go b/go/client/clientset/versioned/typed/paddlepaddle/v1/trainingjob.go deleted file mode 100644 index 81bb8a64..00000000 --- a/go/client/clientset/versioned/typed/paddlepaddle/v1/trainingjob.go +++ /dev/null @@ -1,153 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/package v1 - -import ( - v1 "github.com/PaddlePaddle/cloud/go/apis/paddlepaddle/v1" - scheme "github.com/PaddlePaddle/cloud/go/client/clientset/versioned/scheme" - meta_v1 "k8s.io/apimachinery/pkg/apis/meta/v1" - types "k8s.io/apimachinery/pkg/types" - watch "k8s.io/apimachinery/pkg/watch" - rest "k8s.io/client-go/rest" -) - -// TrainingJobsGetter has a method to return a TrainingJobInterface. -// A group's client should implement this interface. -type TrainingJobsGetter interface { - TrainingJobs(namespace string) TrainingJobInterface -} - -// TrainingJobInterface has methods to work with TrainingJob resources. -type TrainingJobInterface interface { - Create(*v1.TrainingJob) (*v1.TrainingJob, error) - Update(*v1.TrainingJob) (*v1.TrainingJob, error) - Delete(name string, options *meta_v1.DeleteOptions) error - DeleteCollection(options *meta_v1.DeleteOptions, listOptions meta_v1.ListOptions) error - Get(name string, options meta_v1.GetOptions) (*v1.TrainingJob, error) - List(opts meta_v1.ListOptions) (*v1.TrainingJobList, error) - Watch(opts meta_v1.ListOptions) (watch.Interface, error) - Patch(name string, pt types.PatchType, data []byte, subresources ...string) (result *v1.TrainingJob, err error) - TrainingJobExpansion -} - -// trainingJobs implements TrainingJobInterface -type trainingJobs struct { - client rest.Interface - ns string -} - -// newTrainingJobs returns a TrainingJobs -func newTrainingJobs(c *PaddlepaddleV1Client, namespace string) *trainingJobs { - return &trainingJobs{ - client: c.RESTClient(), - ns: namespace, - } -} - -// Get takes name of the trainingJob, and returns the corresponding trainingJob object, and an error if there is any. -func (c *trainingJobs) Get(name string, options meta_v1.GetOptions) (result *v1.TrainingJob, err error) { - result = &v1.TrainingJob{} - err = c.client.Get(). - Namespace(c.ns). - Resource("trainingjobs"). - Name(name). - VersionedParams(&options, scheme.ParameterCodec). - Do(). - Into(result) - return -} - -// List takes label and field selectors, and returns the list of TrainingJobs that match those selectors. -func (c *trainingJobs) List(opts meta_v1.ListOptions) (result *v1.TrainingJobList, err error) { - result = &v1.TrainingJobList{} - err = c.client.Get(). - Namespace(c.ns). - Resource("trainingjobs"). - VersionedParams(&opts, scheme.ParameterCodec). - Do(). - Into(result) - return -} - -// Watch returns a watch.Interface that watches the requested trainingJobs. -func (c *trainingJobs) Watch(opts meta_v1.ListOptions) (watch.Interface, error) { - opts.Watch = true - return c.client.Get(). - Namespace(c.ns). - Resource("trainingjobs"). - VersionedParams(&opts, scheme.ParameterCodec). - Watch() -} - -// Create takes the representation of a trainingJob and creates it. Returns the server's representation of the trainingJob, and an error, if there is any. -func (c *trainingJobs) Create(trainingJob *v1.TrainingJob) (result *v1.TrainingJob, err error) { - result = &v1.TrainingJob{} - err = c.client.Post(). - Namespace(c.ns). - Resource("trainingjobs"). - Body(trainingJob). - Do(). - Into(result) - return -} - -// Update takes the representation of a trainingJob and updates it. Returns the server's representation of the trainingJob, and an error, if there is any. -func (c *trainingJobs) Update(trainingJob *v1.TrainingJob) (result *v1.TrainingJob, err error) { - result = &v1.TrainingJob{} - err = c.client.Put(). - Namespace(c.ns). - Resource("trainingjobs"). - Name(trainingJob.Name). - Body(trainingJob). - Do(). - Into(result) - return -} - -// Delete takes name of the trainingJob and deletes it. Returns an error if one occurs. -func (c *trainingJobs) Delete(name string, options *meta_v1.DeleteOptions) error { - return c.client.Delete(). - Namespace(c.ns). - Resource("trainingjobs"). - Name(name). - Body(options). - Do(). - Error() -} - -// DeleteCollection deletes a collection of objects. -func (c *trainingJobs) DeleteCollection(options *meta_v1.DeleteOptions, listOptions meta_v1.ListOptions) error { - return c.client.Delete(). - Namespace(c.ns). - Resource("trainingjobs"). - VersionedParams(&listOptions, scheme.ParameterCodec). - Body(options). - Do(). - Error() -} - -// Patch applies the patch and returns the patched trainingJob. -func (c *trainingJobs) Patch(name string, pt types.PatchType, data []byte, subresources ...string) (result *v1.TrainingJob, err error) { - result = &v1.TrainingJob{} - err = c.client.Patch(pt). - Namespace(c.ns). - Resource("trainingjobs"). - SubResource(subresources...). - Name(name). - Body(data). - Do(). - Into(result) - return -} diff --git a/go/client/informers/externalversions/factory.go b/go/client/informers/externalversions/factory.go deleted file mode 100644 index 51010798..00000000 --- a/go/client/informers/externalversions/factory.go +++ /dev/null @@ -1,117 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This file was automatically generated by informer-gen - -package externalversions - -import ( - versioned "github.com/PaddlePaddle/cloud/go/client/clientset/versioned" - internalinterfaces "github.com/PaddlePaddle/cloud/go/client/informers/externalversions/internalinterfaces" - paddlepaddle "github.com/PaddlePaddle/cloud/go/client/informers/externalversions/paddlepaddle" - runtime "k8s.io/apimachinery/pkg/runtime" - schema "k8s.io/apimachinery/pkg/runtime/schema" - cache "k8s.io/client-go/tools/cache" - reflect "reflect" - sync "sync" - time "time" -) - -type sharedInformerFactory struct { - client versioned.Interface - lock sync.Mutex - defaultResync time.Duration - - informers map[reflect.Type]cache.SharedIndexInformer - // startedInformers is used for tracking which informers have been started. - // This allows Start() to be called multiple times safely. - startedInformers map[reflect.Type]bool -} - -// NewSharedInformerFactory constructs a new instance of sharedInformerFactory -func NewSharedInformerFactory(client versioned.Interface, defaultResync time.Duration) SharedInformerFactory { - return &sharedInformerFactory{ - client: client, - defaultResync: defaultResync, - informers: make(map[reflect.Type]cache.SharedIndexInformer), - startedInformers: make(map[reflect.Type]bool), - } -} - -// Start initializes all requested informers. -func (f *sharedInformerFactory) Start(stopCh <-chan struct{}) { - f.lock.Lock() - defer f.lock.Unlock() - - for informerType, informer := range f.informers { - if !f.startedInformers[informerType] { - go informer.Run(stopCh) - f.startedInformers[informerType] = true - } - } -} - -// WaitForCacheSync waits for all started informers' cache were synced. -func (f *sharedInformerFactory) WaitForCacheSync(stopCh <-chan struct{}) map[reflect.Type]bool { - informers := func() map[reflect.Type]cache.SharedIndexInformer { - f.lock.Lock() - defer f.lock.Unlock() - - informers := map[reflect.Type]cache.SharedIndexInformer{} - for informerType, informer := range f.informers { - if f.startedInformers[informerType] { - informers[informerType] = informer - } - } - return informers - }() - - res := map[reflect.Type]bool{} - for informType, informer := range informers { - res[informType] = cache.WaitForCacheSync(stopCh, informer.HasSynced) - } - return res -} - -// InternalInformerFor returns the SharedIndexInformer for obj using an internal -// client. -func (f *sharedInformerFactory) InformerFor(obj runtime.Object, newFunc internalinterfaces.NewInformerFunc) cache.SharedIndexInformer { - f.lock.Lock() - defer f.lock.Unlock() - - informerType := reflect.TypeOf(obj) - informer, exists := f.informers[informerType] - if exists { - return informer - } - informer = newFunc(f.client, f.defaultResync) - f.informers[informerType] = informer - - return informer -} - -// SharedInformerFactory provides shared informers for resources in all known -// API group versions. -type SharedInformerFactory interface { - internalinterfaces.SharedInformerFactory - ForResource(resource schema.GroupVersionResource) (GenericInformer, error) - WaitForCacheSync(stopCh <-chan struct{}) map[reflect.Type]bool - - Paddlepaddle() paddlepaddle.Interface -} - -func (f *sharedInformerFactory) Paddlepaddle() paddlepaddle.Interface { - return paddlepaddle.New(f) -} diff --git a/go/client/informers/externalversions/generic.go b/go/client/informers/externalversions/generic.go deleted file mode 100644 index 9f5aa332..00000000 --- a/go/client/informers/externalversions/generic.go +++ /dev/null @@ -1,60 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This file was automatically generated by informer-gen - -package externalversions - -import ( - "fmt" - v1 "github.com/PaddlePaddle/cloud/go/apis/paddlepaddle/v1" - schema "k8s.io/apimachinery/pkg/runtime/schema" - cache "k8s.io/client-go/tools/cache" -) - -// GenericInformer is type of SharedIndexInformer which will locate and delegate to other -// sharedInformers based on type -type GenericInformer interface { - Informer() cache.SharedIndexInformer - Lister() cache.GenericLister -} - -type genericInformer struct { - informer cache.SharedIndexInformer - resource schema.GroupResource -} - -// Informer returns the SharedIndexInformer. -func (f *genericInformer) Informer() cache.SharedIndexInformer { - return f.informer -} - -// Lister returns the GenericLister. -func (f *genericInformer) Lister() cache.GenericLister { - return cache.NewGenericLister(f.Informer().GetIndexer(), f.resource) -} - -// ForResource gives generic access to a shared informer of the matching type -// TODO extend this to unknown resources with a client pool -func (f *sharedInformerFactory) ForResource(resource schema.GroupVersionResource) (GenericInformer, error) { - switch resource { - // Group=Paddlepaddle, Version=V1 - case v1.SchemeGroupVersion.WithResource("trainingjobs"): - return &genericInformer{resource: resource.GroupResource(), informer: f.Paddlepaddle().V1().TrainingJobs().Informer()}, nil - - } - - return nil, fmt.Errorf("no informer found for %v", resource) -} diff --git a/go/client/informers/externalversions/internalinterfaces/factory_interfaces.go b/go/client/informers/externalversions/internalinterfaces/factory_interfaces.go deleted file mode 100644 index 8cd3882c..00000000 --- a/go/client/informers/externalversions/internalinterfaces/factory_interfaces.go +++ /dev/null @@ -1,33 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This file was automatically generated by informer-gen - -package internalinterfaces - -import ( - versioned "github.com/PaddlePaddle/cloud/go/client/clientset/versioned" - runtime "k8s.io/apimachinery/pkg/runtime" - cache "k8s.io/client-go/tools/cache" - time "time" -) - -type NewInformerFunc func(versioned.Interface, time.Duration) cache.SharedIndexInformer - -// SharedInformerFactory a small interface to allow for adding an informer without an import cycle -type SharedInformerFactory interface { - Start(stopCh <-chan struct{}) - InformerFor(obj runtime.Object, newFunc NewInformerFunc) cache.SharedIndexInformer -} diff --git a/go/client/informers/externalversions/paddlepaddle/interface.go b/go/client/informers/externalversions/paddlepaddle/interface.go deleted file mode 100644 index 4c2710a2..00000000 --- a/go/client/informers/externalversions/paddlepaddle/interface.go +++ /dev/null @@ -1,43 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This file was automatically generated by informer-gen - -package paddlepaddle - -import ( - internalinterfaces "github.com/PaddlePaddle/cloud/go/client/informers/externalversions/internalinterfaces" - v1 "github.com/PaddlePaddle/cloud/go/client/informers/externalversions/paddlepaddle/v1" -) - -// Interface provides access to each of this group's versions. -type Interface interface { - // V1 provides access to shared informers for resources in V1. - V1() v1.Interface -} - -type group struct { - internalinterfaces.SharedInformerFactory -} - -// New returns a new Interface. -func New(f internalinterfaces.SharedInformerFactory) Interface { - return &group{f} -} - -// V1 returns a new v1.Interface. -func (g *group) V1() v1.Interface { - return v1.New(g.SharedInformerFactory) -} diff --git a/go/client/informers/externalversions/paddlepaddle/v1/interface.go b/go/client/informers/externalversions/paddlepaddle/v1/interface.go deleted file mode 100644 index bf3e3a5b..00000000 --- a/go/client/informers/externalversions/paddlepaddle/v1/interface.go +++ /dev/null @@ -1,42 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This file was automatically generated by informer-gen - -package v1 - -import ( - internalinterfaces "github.com/PaddlePaddle/cloud/go/client/informers/externalversions/internalinterfaces" -) - -// Interface provides access to all the informers in this group version. -type Interface interface { - // TrainingJobs returns a TrainingJobInformer. - TrainingJobs() TrainingJobInformer -} - -type version struct { - internalinterfaces.SharedInformerFactory -} - -// New returns a new Interface. -func New(f internalinterfaces.SharedInformerFactory) Interface { - return &version{f} -} - -// TrainingJobs returns a TrainingJobInformer. -func (v *version) TrainingJobs() TrainingJobInformer { - return &trainingJobInformer{factory: v.SharedInformerFactory} -} diff --git a/go/client/informers/externalversions/paddlepaddle/v1/trainingjob.go b/go/client/informers/externalversions/paddlepaddle/v1/trainingjob.go deleted file mode 100644 index f3f3c051..00000000 --- a/go/client/informers/externalversions/paddlepaddle/v1/trainingjob.go +++ /dev/null @@ -1,72 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This file was automatically generated by informer-gen - -package v1 - -import ( - paddlepaddle_v1 "github.com/PaddlePaddle/cloud/go/apis/paddlepaddle/v1" - versioned "github.com/PaddlePaddle/cloud/go/client/clientset/versioned" - internalinterfaces "github.com/PaddlePaddle/cloud/go/client/informers/externalversions/internalinterfaces" - v1 "github.com/PaddlePaddle/cloud/go/client/listers/paddlepaddle/v1" - meta_v1 "k8s.io/apimachinery/pkg/apis/meta/v1" - runtime "k8s.io/apimachinery/pkg/runtime" - watch "k8s.io/apimachinery/pkg/watch" - cache "k8s.io/client-go/tools/cache" - time "time" -) - -// TrainingJobInformer provides access to a shared informer and lister for -// TrainingJobs. -type TrainingJobInformer interface { - Informer() cache.SharedIndexInformer - Lister() v1.TrainingJobLister -} - -type trainingJobInformer struct { - factory internalinterfaces.SharedInformerFactory -} - -// NewTrainingJobInformer constructs a new informer for TrainingJob type. -// Always prefer using an informer factory to get a shared informer instead of getting an independent -// one. This reduces memory footprint and number of connections to the server. -func NewTrainingJobInformer(client versioned.Interface, namespace string, resyncPeriod time.Duration, indexers cache.Indexers) cache.SharedIndexInformer { - return cache.NewSharedIndexInformer( - &cache.ListWatch{ - ListFunc: func(options meta_v1.ListOptions) (runtime.Object, error) { - return client.PaddlepaddleV1().TrainingJobs(namespace).List(options) - }, - WatchFunc: func(options meta_v1.ListOptions) (watch.Interface, error) { - return client.PaddlepaddleV1().TrainingJobs(namespace).Watch(options) - }, - }, - &paddlepaddle_v1.TrainingJob{}, - resyncPeriod, - indexers, - ) -} - -func defaultTrainingJobInformer(client versioned.Interface, resyncPeriod time.Duration) cache.SharedIndexInformer { - return NewTrainingJobInformer(client, meta_v1.NamespaceAll, resyncPeriod, cache.Indexers{cache.NamespaceIndex: cache.MetaNamespaceIndexFunc}) -} - -func (f *trainingJobInformer) Informer() cache.SharedIndexInformer { - return f.factory.InformerFor(&paddlepaddle_v1.TrainingJob{}, defaultTrainingJobInformer) -} - -func (f *trainingJobInformer) Lister() v1.TrainingJobLister { - return v1.NewTrainingJobLister(f.Informer().GetIndexer()) -} diff --git a/go/client/listers/paddlepaddle/v1/expansion_generated.go b/go/client/listers/paddlepaddle/v1/expansion_generated.go deleted file mode 100644 index 11cd782b..00000000 --- a/go/client/listers/paddlepaddle/v1/expansion_generated.go +++ /dev/null @@ -1,26 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This file was automatically generated by lister-gen - -package v1 - -// TrainingJobListerExpansion allows custom methods to be added to -// TrainingJobLister. -type TrainingJobListerExpansion interface{} - -// TrainingJobNamespaceListerExpansion allows custom methods to be added to -// TrainingJobNamespaceLister. -type TrainingJobNamespaceListerExpansion interface{} diff --git a/go/client/listers/paddlepaddle/v1/trainingjob.go b/go/client/listers/paddlepaddle/v1/trainingjob.go deleted file mode 100644 index 350a2f3e..00000000 --- a/go/client/listers/paddlepaddle/v1/trainingjob.go +++ /dev/null @@ -1,93 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ -// This file was automatically generated by lister-gen - -package v1 - -import ( - v1 "github.com/PaddlePaddle/cloud/go/apis/paddlepaddle/v1" - "k8s.io/apimachinery/pkg/api/errors" - "k8s.io/apimachinery/pkg/labels" - "k8s.io/client-go/tools/cache" -) - -// TrainingJobLister helps list TrainingJobs. -type TrainingJobLister interface { - // List lists all TrainingJobs in the indexer. - List(selector labels.Selector) (ret []*v1.TrainingJob, err error) - // TrainingJobs returns an object that can list and get TrainingJobs. - TrainingJobs(namespace string) TrainingJobNamespaceLister - TrainingJobListerExpansion -} - -// trainingJobLister implements the TrainingJobLister interface. -type trainingJobLister struct { - indexer cache.Indexer -} - -// NewTrainingJobLister returns a new TrainingJobLister. -func NewTrainingJobLister(indexer cache.Indexer) TrainingJobLister { - return &trainingJobLister{indexer: indexer} -} - -// List lists all TrainingJobs in the indexer. -func (s *trainingJobLister) List(selector labels.Selector) (ret []*v1.TrainingJob, err error) { - err = cache.ListAll(s.indexer, selector, func(m interface{}) { - ret = append(ret, m.(*v1.TrainingJob)) - }) - return ret, err -} - -// TrainingJobs returns an object that can list and get TrainingJobs. -func (s *trainingJobLister) TrainingJobs(namespace string) TrainingJobNamespaceLister { - return trainingJobNamespaceLister{indexer: s.indexer, namespace: namespace} -} - -// TrainingJobNamespaceLister helps list and get TrainingJobs. -type TrainingJobNamespaceLister interface { - // List lists all TrainingJobs in the indexer for a given namespace. - List(selector labels.Selector) (ret []*v1.TrainingJob, err error) - // Get retrieves the TrainingJob from the indexer for a given namespace and name. - Get(name string) (*v1.TrainingJob, error) - TrainingJobNamespaceListerExpansion -} - -// trainingJobNamespaceLister implements the TrainingJobNamespaceLister -// interface. -type trainingJobNamespaceLister struct { - indexer cache.Indexer - namespace string -} - -// List lists all TrainingJobs in the indexer for a given namespace. -func (s trainingJobNamespaceLister) List(selector labels.Selector) (ret []*v1.TrainingJob, err error) { - err = cache.ListAllByNamespace(s.indexer, s.namespace, selector, func(m interface{}) { - ret = append(ret, m.(*v1.TrainingJob)) - }) - return ret, err -} - -// Get retrieves the TrainingJob from the indexer for a given namespace and name. -func (s trainingJobNamespaceLister) Get(name string) (*v1.TrainingJob, error) { - obj, exists, err := s.indexer.GetByKey(s.namespace + "/" + name) - if err != nil { - return nil, err - } - if !exists { - return nil, errors.NewNotFound(v1.Resource("trainingjob"), name) - } - return obj.(*v1.TrainingJob), nil -} diff --git a/go/cmd/edl/Dockerfile b/go/cmd/edl/Dockerfile deleted file mode 100644 index 4990d135..00000000 --- a/go/cmd/edl/Dockerfile +++ /dev/null @@ -1,9 +0,0 @@ -FROM golang:1.8 -RUN go get github.com/Masterminds/glide -RUN apt-get update && apt-get install -y git -WORKDIR $GOPATH/src/github.com/PaddlePaddle -RUN git clone https://github.com/PaddlePaddle/cloud.git -WORKDIR $GOPATH/src/github.com/PaddlePaddle/cloud/go -RUN glide install --strip-vendor -RUN go build -o /usr/local/bin/edl github.com/PaddlePaddle/cloud/go/cmd/edl -CMD ["edl"] diff --git a/go/cmd/paddlecloud/.gitignore b/go/cmd/paddlecloud/.gitignore deleted file mode 100644 index 6ca6d6c8..00000000 --- a/go/cmd/paddlecloud/.gitignore +++ /dev/null @@ -1 +0,0 @@ -paddlecloud diff --git a/go/cmd/paddlecloud/paddlecloud.go b/go/cmd/paddlecloud/paddlecloud.go deleted file mode 100644 index 5128c6e9..00000000 --- a/go/cmd/paddlecloud/paddlecloud.go +++ /dev/null @@ -1,36 +0,0 @@ -package main - -import ( - "context" - "flag" - "os" - - pfsmod "github.com/PaddlePaddle/cloud/go/filemanager/pfsmodules" - "github.com/PaddlePaddle/cloud/go/paddlecloud" - "github.com/PaddlePaddle/cloud/go/utils/config" - "github.com/google/subcommands" -) - -func main() { - pfsmod.Config = config.ParseDefaultConfig() - paddlecloud.Config = pfsmod.Config - - subcommands.Register(subcommands.HelpCommand(), "") - subcommands.Register(subcommands.CommandsCommand(), "") - subcommands.Register(&paddlecloud.SubmitCmd{}, "") - subcommands.Register(&paddlecloud.LogsCommand{}, "") - subcommands.Register(&paddlecloud.GetCommand{}, "") - subcommands.Register(&paddlecloud.KillCommand{}, "") - subcommands.Register(&paddlecloud.SimpleFileCmd{}, "") - subcommands.Register(&paddlecloud.RegistryCmd{}, "") - subcommands.Register(&paddlecloud.DeleteCommand{}, "") - subcommands.Register(&paddlecloud.PublishCmd{}, "") - subcommands.Register(&pfsmod.LsCmd{}, "PFS") - subcommands.Register(&pfsmod.CpCmd{}, "PFS") - subcommands.Register(&pfsmod.RmCmd{}, "PFS") - subcommands.Register(&pfsmod.MkdirCmd{}, "PFS") - - flag.Parse() - ctx := context.Background() - os.Exit(int(subcommands.Execute(ctx))) -} diff --git a/go/cmd/paddlectl/main.go b/go/cmd/paddlectl/main.go deleted file mode 100644 index b2f6ab5e..00000000 --- a/go/cmd/paddlectl/main.go +++ /dev/null @@ -1,29 +0,0 @@ -package main - -import ( - "context" - "flag" - "os" - - pfsmod "github.com/PaddlePaddle/cloud/go/filemanager/pfsmodules" - "github.com/PaddlePaddle/cloud/go/paddlecloud" - "github.com/PaddlePaddle/cloud/go/paddlectl" - "github.com/PaddlePaddle/cloud/go/utils/config" - "github.com/google/subcommands" -) - -func main() { - pfsmod.Config = config.ParseDefaultConfig() - paddlecloud.Config = pfsmod.Config - - subcommands.Register(subcommands.HelpCommand(), "") - subcommands.Register(subcommands.CommandsCommand(), "") - subcommands.Register(&paddlectl.SubmitCmd{}, "") - - // TODO(gongwb): add more commands. - subcommands.Register(&paddlectl.SimpleFileCmd{}, "") - - flag.Parse() - ctx := context.Background() - os.Exit(int(subcommands.Execute(ctx))) -} diff --git a/go/cmd/pfsserver/main.go b/go/cmd/pfsserver/main.go deleted file mode 100644 index f736bd29..00000000 --- a/go/cmd/pfsserver/main.go +++ /dev/null @@ -1,24 +0,0 @@ -package main - -import ( - "flag" - "fmt" - "net/http" - - "github.com/PaddlePaddle/cloud/go/filemanager/pfsserver" - log "github.com/golang/glog" -) - -func main() { - port := flag.Int("port", 8080, "port of server") - ip := flag.String("ip", "0.0.0.0", "ip of server") - tokenURI := flag.String("tokenuri", "http://cloud.paddlepaddle.org", "uri of token server") - flag.Parse() - - router := pfsserver.NewRouter() - addr := fmt.Sprintf("%s:%d", *ip, *port) - pfsserver.TokenURI = *tokenURI - - log.Infof("server on:%s and tokenuri:%s\n", addr, *tokenURI) - log.Fatal(http.ListenAndServe(addr, router)) -} diff --git a/go/edl/README.md b/go/edl/README.md deleted file mode 100644 index 30c9b065..00000000 --- a/go/edl/README.md +++ /dev/null @@ -1,21 +0,0 @@ -# PaddlePaddle EDL: Elastic Deep Learning - -While many hardware and software manufacturers are working on improving the running time of deep learning jobs, EDL optimizes (1) the global utilization of the cluster and (2) the waiting time of job submitters. - -For more about the project EDL, please refer to this [invited blog post](http://blog.kubernetes.io/2017/12/paddle-paddle-fluid-elastic-learning.html) on the Kubernetes official blog. - -EDL includes two parts: - -1. a Kubernetes controller for the elastic scheduling of distributed deep learning jobs, and - -1. making PaddlePaddle a fault-tolerable deep learning framework. This directory contains the Kubernetes controller. For more information about fault-tolerance, please refer to this [PaddlePaddle design doc](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/design/cluster_train). - -We deployed EDL on a real Kubernetes cluster, dlnel.com, opened for graduate students of Tsinghua University. The performance test report of EDL on this cluster is [here](https://github.com/PaddlePaddle/cloud/blob/develop/doc/autoscale/experiment/README.md). - - -## Build - -```bash -glide install --strip-vendor -go build -o path/to/output github.com/PaddlePaddle/cloud/go/cmd/edl -``` diff --git a/go/filemanager/README_CN.md b/go/filemanager/README_CN.md deleted file mode 100644 index 0dff235b..00000000 --- a/go/filemanager/README_CN.md +++ /dev/null @@ -1,62 +0,0 @@ -1. 如何构建PFSServer的DockerImage - - 构建PFSServer的编译环境 - - ``` - cd cloud/docker/pfs - bash build.sh - ``` - - - 编译PFSServer - - ``` - cd cloud/go - docker run --rm -v $(pwd):/root/gopath/src/github.com/PaddlePaddle/cloud/go pfsserver:dev - ``` - - - 构建PFSServer的DockerImage - - ``` - cd cloud/go - docker build . -t pfsserver:latest - ``` - - PFSServer启动命令 - - ``` - docker run pfsserver:latest /pfsserver/pfsserver -tokenuri http://cloud.paddlepaddle.org -logtostderr=true -v=3 - ``` - -2. 如何部署PFSServer - - ``` - cd ../k8s - kuberctl create -f cloud_pfsserver.yaml - ``` - -3. 如何使用PFSClient - - cp - - ``` - upload: - paddlecloud cp ./file /pfs/$DATACENTER/home/$USER/file - - download: - paddlecloud cp /pfs/$DATACENTER/home/$USER/file ./file - ``` - - ls - - ``` - paddlecloud ls /pfs/$DATACENTER/home/$USER/folder - ``` - - - rm - - ``` - paddlecloud rm /pfs/$DATACENTER/home/$USER/file - paddlecloud rm -r /pfs/$DATACENTER/home/$USER/folder - ``` - - - mkdir - - ``` - paddlecloud mkdir /pfs/$DATACENTER/home/$USER/folder - ``` diff --git a/go/filemanager/pfsmodules/chunk.go b/go/filemanager/pfsmodules/chunk.go deleted file mode 100644 index 1482cf98..00000000 --- a/go/filemanager/pfsmodules/chunk.go +++ /dev/null @@ -1,83 +0,0 @@ -package pfsmodules - -import ( - "errors" - "fmt" - "net/url" - "strconv" -) - -// ChunkParam respresents a chunk info. -type ChunkParam struct { - Path string - Offset int64 - Size int64 -} - -// String packs info of ChunkParam. -func (p *ChunkParam) String() string { - return fmt.Sprintf("Path:%s Offset:%d Size:%d", p.Path, p.Offset, p.Size) -} - -// ToURLParam encodes variables to url encoding parameters. -func (p *ChunkParam) ToURLParam() url.Values { - parameters := url.Values{} - parameters.Add("path", p.Path) - - str := fmt.Sprint(p.Offset) - parameters.Add("offset", str) - - str = fmt.Sprint(p.Size) - parameters.Add("chunksize", str) - - return parameters -} - -// ParseChunkParam get a Chunk struct from path. -// path example: -// path=/pfs/datacenter1/1.txt&offset=4096&chunksize=4096 -func ParseChunkParam(path string) (*ChunkParam, error) { - cmd := ChunkParam{} - - m, err := url.ParseQuery(path) - if err != nil || - len(m["path"]) == 0 || - len(m["offset"]) == 0 || - len(m["chunksize"]) == 0 { - return nil, errors.New(StatusJSONErr) - } - - cmd.Path = m["path"][0] - cmd.Offset, err = strconv.ParseInt(m["offset"][0], 10, 64) - if err != nil { - return nil, errors.New(StatusJSONErr) - } - - chunkSize, err := strconv.ParseInt(m["chunksize"][0], 10, 64) - if err != nil { - return nil, errors.New(StatusBadChunkSize) - } - cmd.Size = chunkSize - - return &cmd, nil -} - -// Chunk is struct. -type Chunk struct { - Offset int64 - Len int64 - Checksum string - Data []byte -} - -// String packs info of Chunk -func (c *Chunk) String() string { - return fmt.Sprintf("Offset:%d Len:%d Checksum:%s", c.Offset, c.Len, c.Checksum) -} - -// NewChunk make a Chunk struct. -func NewChunk(capcity int64) *Chunk { - c := Chunk{} - c.Data = make([]byte, capcity) - return &c -} diff --git a/go/filemanager/pfsmodules/chunkmeta.go b/go/filemanager/pfsmodules/chunkmeta.go deleted file mode 100644 index cfbf6b9b..00000000 --- a/go/filemanager/pfsmodules/chunkmeta.go +++ /dev/null @@ -1,167 +0,0 @@ -package pfsmodules - -import ( - "encoding/json" - "errors" - "fmt" - "io" - "net/http" - "net/url" - "os" - "strconv" - "strings" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" -) - -const ( - defaultMaxChunkSize = 32 * 1024 * 1024 - defaultMinChunkSize = 4 * 1024 -) -const ( - // ChunkMetaCmdName is the name of GetChunkMeta command. - ChunkMetaCmdName = "GetChunkMeta" -) - -// ChunkMeta holds the chunk meta's info. -type ChunkMeta struct { - Offset int64 `json:"offset"` - Checksum string `json:"checksum"` - Len int64 `json:"len"` -} - -// String pack a info tring of ChunkMeta. -func (m *ChunkMeta) String() string { - return fmt.Sprintf("Offset:%d Checksum:%s Len:%d", m.Offset, m.Checksum, m.Len) -} - -// ChunkMetaCmd is a command. -type ChunkMetaCmd struct { - Method string `json:"method"` - FilePath string `json:"path"` - Offset int64 `json:"offset"` - ChunkSize int64 `json:"chunksize"` -} - -// ToURLParam encodes ChunkMetaCmd to URL encoding string. -func (p *ChunkMetaCmd) ToURLParam() url.Values { - parameters := url.Values{} - parameters.Add("method", p.Method) - parameters.Add("path", p.FilePath) - - str := fmt.Sprint(p.ChunkSize) - parameters.Add("chunksize", str) - - str = fmt.Sprint(p.Offset) - parameters.Add("offset", str) - - return parameters -} - -// ToJSON encodes ChunkMetaCmd to JSON string. -func (p *ChunkMetaCmd) ToJSON() ([]byte, error) { - return json.Marshal(p) -} - -// Run is a functions which run ChunkMetaCmd. -func (p *ChunkMetaCmd) Run() (interface{}, error) { - f := FileHandle{} - if err := f.Open(p.FilePath, os.O_RDONLY, 0); err != nil { - return nil, err - } - - defer f.Close() - - return f.GetChunkMeta(p.Offset, p.ChunkSize) -} - -func (p *ChunkMetaCmd) checkChunkSize() error { - if p.ChunkSize < defaultMinChunkSize || - p.ChunkSize > defaultMaxChunkSize { - return errors.New(StatusBadChunkSize) - } - - return nil -} - -// ValidateCloudArgs checks the conditions when running on cloud. -func (p *ChunkMetaCmd) ValidateCloudArgs(userName string) error { - if err := ValidatePfsPath([]string{p.FilePath}, userName, ChunkMetaCmdName); err != nil { - return err - } - - return p.checkChunkSize() -} - -// ValidateLocalArgs checks the conditions when running locally. -func (p *ChunkMetaCmd) ValidateLocalArgs() error { - return p.checkChunkSize() -} - -// NewChunkMetaCmdFromURLParam get a new ChunkMetaCmd. -func NewChunkMetaCmdFromURLParam(r *http.Request) (*ChunkMetaCmd, error) { - method := r.URL.Query().Get("method") - path := r.URL.Query().Get("path") - chunkStr := r.URL.Query().Get("chunksize") - offsetStr := r.URL.Query().Get("offset") - - if len(method) == 0 || - method != ChunkMetaCmdName || - len(path) == 0 || - len(chunkStr) == 0 || - len(offsetStr) == 0 { - return nil, errors.New(http.StatusText(http.StatusBadRequest)) - } - - chunkSize, err := strconv.ParseInt(chunkStr, 10, 64) - if err != nil { - return nil, errors.New(StatusBadChunkSize) - } - - offset, err := strconv.ParseInt(offsetStr, 10, 64) - if err != nil { - return nil, errors.New(StatusBadChunkSize) - } - - return &ChunkMetaCmd{ - Method: method, - FilePath: path, - ChunkSize: chunkSize, - Offset: offset, - }, nil -} -func remoteChunkMeta(path string, offset int64, - chunkSize int64) (*ChunkMeta, error) { - cmd := ChunkMetaCmd{ - Method: ChunkMetaCmdName, - FilePath: path, - ChunkSize: chunkSize, - Offset: offset, - } - - t := fmt.Sprintf("%s/%s", Config.ActiveConfig.Endpoint, RESTChunksPath) - ret, err := restclient.GetCall(t, cmd.ToURLParam()) - if err != nil { - return nil, err - } - - type chunkMetaResponse struct { - Err string `json:"err"` - Results ChunkMeta `json:"results"` - } - - resp := chunkMetaResponse{} - if err := json.Unmarshal(ret, &resp); err != nil { - return nil, err - } - - if resp.Err == "" { - return &resp.Results, nil - } - - if strings.Contains(resp.Err, StatusFileEOF) { - return &resp.Results, io.EOF - } - - return &resp.Results, errors.New(resp.Err) -} diff --git a/go/filemanager/pfsmodules/command.go b/go/filemanager/pfsmodules/command.go deleted file mode 100644 index e4eec9c6..00000000 --- a/go/filemanager/pfsmodules/command.go +++ /dev/null @@ -1,119 +0,0 @@ -package pfsmodules - -import ( - "errors" - "io" - "net/url" - "path" - "strings" - - log "github.com/golang/glog" -) - -const ( - // DefaultMultiPartBoundary is the default multipart form boudary. - DefaultMultiPartBoundary = "8d7b0e5709d756e21e971ff4d9ac3b20" - - // MaxJSONRequestSize is the max body size when server receives a request. - MaxJSONRequestSize = 2048 -) - -const ( - // RESTChunksStoragePath is chunk's storage path of REST API. - RESTChunksStoragePath = "api/v1/pfs/storage/chunks" - // RESTFilesPath is files' path of REST API. - RESTFilesPath = "api/v1/pfs/files" - // RESTChunksPath is chunks' path of REST API. - RESTChunksPath = "api/v1/pfs/chunks" - // RESTTokenPath is token's path of REST API. - RESTTokenPath = "api/v1/token2user/" -) - -// Command is a interface of all commands. -type Command interface { - // ToURLParam generates url.Values of the command struct. - ToURLParam() url.Values - // ToJSON generates JSON string of the command struct. - ToJSON() ([]byte, error) - // Run runs a command. - Run() (interface{}, error) - // ValidateLocalArgs validates arguments when running locally. - ValidateLocalArgs() error - // ValidateCloudArgs validates arguments when running on cloud. - ValidateCloudArgs(userName string) error -} - -// CheckUser checks if a user has authority to access a path. -// path example:/pfs/$datacenter/home/$user -func checkUser(pathStr string, user string) error { - pathStr = path.Clean(strings.TrimSpace(pathStr)) - a := strings.Split(pathStr, "/") - // the first / is convert to " " - if len(a) < 5 { - return errors.New(StatusBadPath) - } - - if a[4] != user { - log.V(4).Infof("request path:%s user:%s split_path:%s\n", pathStr, user, a[4]) - return errors.New(StatusUnAuthorized) - } - return nil -} - -func isPublic(pathStr string) bool { - pathStr = path.Clean(strings.TrimSpace(pathStr)) - a := strings.Split(pathStr, "/") - - if len(a) >= 4 && a[3] == "public" { - return true - } - - return false -} - -func checkPublic(cmdName string) error { - switch cmdName { - case "ls", "stat", "GetChunk": - return nil - default: - return errors.New("public data supports only ls or stat command") - } -} - -// ValidatePfsPath returns whether a pfspath is valid and autorized -func ValidatePfsPath(paths []string, userName string, cmdName string) error { - if len(paths) == 0 { - return errors.New(StatusNotEnoughArgs) - } - - for _, path := range paths { - if !strings.HasPrefix(path, "/pfs/") { - return errors.New(StatusShouldBePfsPath + ":" + path) - } - - if isPublic(path) { - if err := checkPublic(cmdName); err != nil { - return err - } - continue - } - - if err := checkUser(path, userName); err != nil { - return err - } - } - return nil -} - -// IsCloudPath returns whether a path is a pfspath. -func IsCloudPath(path string) bool { - return strings.HasPrefix(path, "/pfs/") -} - -// Close closes c and log it. -func Close(c io.Closer) { - err := c.Close() - if err != nil { - log.Error(err) - } -} diff --git a/go/filemanager/pfsmodules/command_test.go b/go/filemanager/pfsmodules/command_test.go deleted file mode 100644 index c106d932..00000000 --- a/go/filemanager/pfsmodules/command_test.go +++ /dev/null @@ -1,28 +0,0 @@ -package pfsmodules - -import "testing" - -func TestValidPfsPath(t *testing.T) { - path := []string{"/pfs/xxx/public/dataset"} - err := ValidatePfsPath(path, "user", "ls") - if err != nil { - t.Error("valid meets error") - } - - err = ValidatePfsPath(path, "user", "mkdir") - if err == nil { - t.Error("valid meets error") - } - - path = []string{"/pfs/xxx/home/user/dataset"} - err = ValidatePfsPath(path, "user1", "ls") - if err == nil { - t.Error("valid meets error") - } - - path = []string{"/pfs/xxx/home/user/dataset"} - err = ValidatePfsPath(path, "user", "ls") - if err != nil { - t.Errorf("valid meets error:%v", err) - } -} diff --git a/go/filemanager/pfsmodules/cp.go b/go/filemanager/pfsmodules/cp.go deleted file mode 100644 index 4d7a21b0..00000000 --- a/go/filemanager/pfsmodules/cp.go +++ /dev/null @@ -1,162 +0,0 @@ -package pfsmodules - -import ( - "context" - "errors" - "flag" - "fmt" - "strconv" - - log "github.com/golang/glog" - "github.com/google/subcommands" -) - -const ( - cpCmdName = "cp" - defaultChunkSize int64 = 4 * 1024 * 1024 -) - -// CpCmdResult means the copy-command's result. -type CpCmdResult struct { - Src string `json:"Path"` - Dst string `json:"Dst"` -} - -// CpCmd means copy-command. -type CpCmd struct { - Method string - V bool - Src []string - Dst string - ChunkSize int64 -} - -func newCpCmdFromFlag(f *flag.FlagSet) (*CpCmd, error) { - cmd := CpCmd{} - - cmd.Method = cpCmdName - cmd.Src = make([]string, 0, f.NArg()) - - var err error - f.Visit(func(flag *flag.Flag) { - if flag.Name == "v" { - cmd.V, err = strconv.ParseBool(flag.Value.String()) - if err != nil { - log.Errorln("meets error when parsing argument v") - return - } - } - - if flag.Name == "chunksize" { - cmd.ChunkSize, err = strconv.ParseInt(flag.Value.String(), 10, 64) - if err != nil { - log.Errorln("meets error when parsing argument v") - return - } - - cmd.ChunkSize = cmd.ChunkSize * 1024 - - if cmd.ChunkSize > defaultMaxChunkSize || - cmd.ChunkSize < defaultMinChunkSize { - log.Errorln("ChunkSize should be in [%d, %d]", defaultMinChunkSize, defaultMaxChunkSize) - return - } - } - - }) - - if err != nil { - return nil, err - } - - for i, arg := range f.Args() { - if i >= len(f.Args())-1 { - break - } - cmd.Src = append(cmd.Src, arg) - } - - cmd.Dst = f.Args()[len(f.Args())-1] - - return &cmd, nil -} - -// PartToString prints command's info. -func (p *CpCmd) PartToString(src, dst string) string { - return fmt.Sprintf("cp %s %s", src, dst) -} - -// Name returns CpCmd's name. -func (*CpCmd) Name() string { return "cp" } - -// Synopsis returns synopsis of CpCmd. -func (*CpCmd) Synopsis() string { return "upload or download files" } - -// Usage returns usage of CpCmd. -func (*CpCmd) Usage() string { - return `cp [-v] [-chunksize] ... - upload or downlod files, does't support directories this version - Options: - ` -} - -// SetFlags sets CpCmd's parameter. -func (p *CpCmd) SetFlags(f *flag.FlagSet) { - f.Int64Var(&p.ChunkSize, "chunksize", defaultChunkSize, "Upload or download unit KB.") - f.BoolVar(&p.V, "v", false, "Cause cp to be verbose, showing files after they are copied.") -} - -// Execute runs CpCmd. -func (p *CpCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() < 2 { - f.Usage() - return subcommands.ExitFailure - } - - cmd, err := newCpCmdFromFlag(f) - if err != nil { - return subcommands.ExitSuccess - } - - if err := RunCp(cmd); err != nil { - return subcommands.ExitFailure - } - - return subcommands.ExitSuccess -} - -// RunCp runs CpCmd. -func RunCp(cmd *CpCmd) error { - var results []CpCmdResult - - for _, arg := range cmd.Src { - var ret []CpCmdResult - var err error - - if IsCloudPath(arg) { - if IsCloudPath(cmd.Dst) { - err = errors.New(StatusOnlySupportFiles) - } else { - err = download(arg, cmd.Dst, cmd.V, cmd.ChunkSize) - } - } else { - if IsCloudPath(cmd.Dst) { - err = upload(arg, cmd.Dst, cmd.V, cmd.ChunkSize) - } else { - //can't do that - err = errors.New(StatusOnlySupportFiles) - } - } - - if err != nil { - ColorError("proc %s err:%s\n", arg, err) - return err - } - - if ret != nil { - results = append(results, ret...) - } - } - - return nil -} diff --git a/go/filemanager/pfsmodules/cp_test.go b/go/filemanager/pfsmodules/cp_test.go deleted file mode 100644 index 38521fa9..00000000 --- a/go/filemanager/pfsmodules/cp_test.go +++ /dev/null @@ -1,47 +0,0 @@ -package pfsmodules - -import ( - "flag" - "strings" - "testing" -) - -func TestNewCpCmdFromFlag(t *testing.T) { - cmdLine := "cp -v /pfs/datacenter/home/user1/1.txt /pfs/datacenter/home/user1/2.txt ./user1/" - a := strings.Split(cmdLine, " ") - - flag := flag.NewFlagSet("cp", flag.ExitOnError) - flag.Bool("v", false, "") - - if err := flag.Parse(a[1:]); err != nil { - t.Error(err.Error()) - } - - d, err := newCpCmdFromFlag(flag) - if err != nil { - t.Error(err.Error()) - } - - if d.Method != "cp" { - t.Error(d.Method) - } - - if !d.V { - t.Error(d.V) - } - - if d.Dst != "./user1/" { - t.Error(d.Dst) - } - - if len(d.Src) != 2 { - t.Error(len(d.Src)) - } - - for _, s := range d.Src { - if s != "/pfs/datacenter/home/user1/1.txt" && - s != "/pfs/datacenter/home/user1/2.txt" { - t.Error(s) - } - } -} diff --git a/go/filemanager/pfsmodules/download.go b/go/filemanager/pfsmodules/download.go deleted file mode 100644 index cb4bcf11..00000000 --- a/go/filemanager/pfsmodules/download.go +++ /dev/null @@ -1,136 +0,0 @@ -package pfsmodules - -import ( - "errors" - "fmt" - "io" - "os" - "path/filepath" - "time" - - log "github.com/golang/glog" -) - -func downloadFile(src string, srcFileSize int64, dst string, verbose bool, chunkSize int64) error { - w := FileHandle{} - if err := w.Open(dst, os.O_RDWR, srcFileSize); err != nil { - return err - } - defer w.Close() - - r := RemoteFile{} - if err := r.Open(src, os.O_RDONLY, 0); err != nil { - return err - } - defer r.Close() - - offset := int64(0) - if chunkSize <= 0 { - chunkSize = defaultChunkSize - } - - for { - start := time.Now() - sm, errs := r.GetChunkMeta(offset, chunkSize) - if errs != nil && errs != io.EOF { - return errs - } - log.V(2).Infoln("remote chunk info:", sm) - - wm, errw := w.GetChunkMeta(offset, chunkSize) - if errw != nil && errw != io.EOF { - return errw - } - log.V(2).Infoln("local chunk info:", wm) - - if sm.Checksum == wm.Checksum { - if verbose { - used := time.Since(start).Nanoseconds() / time.Millisecond.Nanoseconds() - ColorInfoOverWrite("%s download %d%% %dKB/s", src, offset*100/srcFileSize, sm.Len/used) - } - offset += sm.Len - log.V(2).Infoln("remote chunk is same as local chunk:", sm) - if errs == io.EOF || errw == io.EOF { - break - } - continue - } - - c, err := r.ReadChunk(offset, sm.Len) - if err != nil && err != io.EOF { - return err - } - - if err := w.WriteChunk(c); err != nil { - return err - } - offset += sm.Len - - if verbose { - used := time.Since(start).Nanoseconds() / time.Millisecond.Nanoseconds() - ColorInfoOverWrite("%s download %d%% %dKB/s", src, offset*100/srcFileSize, sm.Len/used) - } - - log.V(2).Infof("downlod chunk:%s ok\n\n", c.String()) - if errs == io.EOF || errw == io.EOF { - break - } - } - - if offset != srcFileSize { - return fmt.Errorf("expect %d but read %d", srcFileSize, offset) - } - - return nil -} - -func checkBeforeDownLoad(src []LsResult, dst string) (bool, error) { - var bDir bool - fi, err := os.Stat(dst) - if err == nil { - bDir = fi.IsDir() - if !fi.IsDir() && len(src) > 1 { - return bDir, errors.New(StatusDestShouldBeDirectory) - } - } else if os.IsNotExist(err) { - return false, nil - } - - return bDir, err -} - -func download(src, dst string, verbose bool, chunkSize int64) error { - log.V(1).Infof("download %s to %s\n", src, dst) - lsRet, err := RemoteLs(NewLsCmd(true, src)) - if err != nil { - return err - } - - bDir, err := checkBeforeDownLoad(lsRet, dst) - if err != nil { - return err - } - - for _, attr := range lsRet { - if attr.IsDir { - ColorError("Download %s error info:%s\n", StatusOnlySupportFiles) - return errors.New(StatusOnlySupportFiles) - } - - realSrc := attr.Path - realDst := dst - - if bDir { - _, file := filepath.Split(attr.Path) - realDst = dst + "/" + file - } - - if err := downloadFile(realSrc, attr.Size, realDst, verbose, chunkSize); err != nil { - ColorError("Download %s to %s error info:%s\n", realSrc, realDst, err) - return err - } - ColorInfoOverWrite("Downloaded %s\n", realSrc) - } - - return nil -} diff --git a/go/filemanager/pfsmodules/localfile.go b/go/filemanager/pfsmodules/localfile.go deleted file mode 100644 index b1db58c8..00000000 --- a/go/filemanager/pfsmodules/localfile.go +++ /dev/null @@ -1,164 +0,0 @@ -package pfsmodules - -import ( - "bytes" - "crypto/md5" - "encoding/hex" - "errors" - "io" - "os" - - log "github.com/golang/glog" -) - -// FileHandle is a local *os.File with offset. -type FileHandle struct { - F *os.File - Offset int64 -} - -// Close closes FileHandle. -func (f *FileHandle) Close() { - if f.F != nil { - f.F.Close() - } - - f.Offset = 0 -} - -// Open opens a file. -func (f *FileHandle) Open(path string, flag int, size int64) error { - if flag != os.O_RDONLY && - flag != os.O_WRONLY && - flag != os.O_RDWR { - return errors.New("only support os.O_RDONLY, os.O_WRONLY, os.O_RDWR") - } - - if (flag == os.O_WRONLY || - flag == os.O_RDWR) && size >= 0 { - - cmd := TouchCmd{ - Method: TouchCmdName, - Path: path, - FileSize: size, - } - - // attempt to create sized file if it does't exist or - // file's size != size - if err := localTouch(&cmd); err != nil { - return err - } - } - - fd, err := os.OpenFile(path, flag, 0666) - if err != nil { - return err - } - - f.F = fd - return nil -} - -func (f *FileHandle) checkOffset(offset int64) error { - if offset != f.Offset { - if _, err := f.F.Seek(offset, 0); err != nil { - return err - } - f.Offset = offset - } - return nil -} - -// GetChunkMeta returns ChunkMeta at offset with size. -func (f *FileHandle) GetChunkMeta(offset, size int64) (*ChunkMeta, error) { - c, err := f.ReadChunk(offset, size) - if err != nil && err != io.EOF { - return nil, err - } - - return &ChunkMeta{ - Offset: offset, - Checksum: c.Checksum, - Len: c.Len, - }, err -} - -// ReadChunk loads a chunk at offset with len. -func (f *FileHandle) ReadChunk(offset int64, size int64) (*Chunk, error) { - if err := f.checkOffset(offset); err != nil { - return nil, err - } - - c := NewChunk(size) - - //n, err := f.F.Read(c.Data) - n, err := io.ReadFull(f.F, c.Data) - if err != nil && err != io.EOF && err != io.ErrUnexpectedEOF { - return nil, err - } - f.Offset += int64(n) - - c.Offset = offset - c.Len = int64(n) - sum := md5.Sum(c.Data[:n]) - c.Checksum = hex.EncodeToString(sum[:]) - - log.V(3).Infof("f:%d offset:%d need offset:%d size:%d Readed Chunk:%s error_info:%v\n", - f.F, f.Offset-int64(n), offset, size, c.String(), err) - - fi, errfi := f.F.Stat() - log.V(3).Infof("f.stat size:%d error:%v", fi.Size(), errfi) - - if err == io.ErrUnexpectedEOF { - err = io.EOF - } - - return c, err -} - -// CopyN loads filedata to io.Writer. -func (f *FileHandle) CopyN(w io.Writer, offset, len int64) error { - if err := f.checkOffset(offset); err != nil { - return err - } - - n, err := io.CopyN(w, f.F, len) - log.V(2).Infof("CopyN expect %d real %d\n", len, n) - - if err != nil && err != io.EOF && err != io.ErrUnexpectedEOF { - return err - } - f.Offset += int64(n) - - if err == io.ErrUnexpectedEOF { - err = io.EOF - } - - return err -} - -// WriteChunk writes data to file. -func (f *FileHandle) WriteChunk(c *Chunk) error { - if c.Len == 0 { - return nil - } - - return f.Write(bytes.NewReader(c.Data), c.Offset, c.Len) -} - -// Write writes data from io.Reader. -func (f *FileHandle) Write(r io.Reader, offset int64, size int64) error { - if err := f.checkOffset(offset); err != nil { - return err - } - - n, err := io.CopyN(f.F, r, size) - if n > 0 { - f.Offset += n - } - - log.V(3).Infof("f:%d offset:%d need offset:%d size:%d writen:%d\n", - f.F, f.Offset-n, offset, size, n) - - return err -} diff --git a/go/filemanager/pfsmodules/ls.go b/go/filemanager/pfsmodules/ls.go deleted file mode 100644 index 86097ad5..00000000 --- a/go/filemanager/pfsmodules/ls.go +++ /dev/null @@ -1,313 +0,0 @@ -package pfsmodules - -import ( - "context" - "encoding/json" - "errors" - "flag" - "fmt" - "net/http" - "net/url" - "os" - "path/filepath" - "strconv" - "time" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - log "github.com/golang/glog" - "github.com/google/subcommands" -) - -const ( - lsCmdName = "ls" -) - -// LsResult represents a LsCmd's result. -type LsResult struct { - Path string `json:"Path"` - ModTime int64 `json:"ModTime"` - Size int64 `json:"Size"` - IsDir bool `json:"IsDir"` -} - -// LsCmd means LsCmd structure. -type LsCmd struct { - Method string - R bool - Args []string -} - -// ToURLParam encoding LsCmd to URL Encoding string. -func (p *LsCmd) ToURLParam() url.Values { - parameters := url.Values{} - parameters.Add("method", p.Method) - parameters.Add("r", strconv.FormatBool(p.R)) - - for _, arg := range p.Args { - parameters.Add("arg", arg) - } - - return parameters -} - -// ToJSON encodes cmd members to json string. -func (p *LsCmd) ToJSON() ([]byte, error) { - return json.Marshal(p) -} - -func newLsCmdFromFlag(f *flag.FlagSet) (*LsCmd, error) { - cmd := LsCmd{} - - cmd.Method = lsCmdName - cmd.Args = make([]string, 0, f.NArg()) - - var err error - f.Visit(func(flag *flag.Flag) { - if flag.Name == "r" { - cmd.R, err = strconv.ParseBool(flag.Value.String()) - if err != nil { - log.Errorln("meets error when parsing argument r") - return - } - } - }) - - if err != nil { - return nil, err - } - - for _, arg := range f.Args() { - log.V(2).Info(arg) - cmd.Args = append(cmd.Args, arg) - } - - return &cmd, nil -} - -// NewLsCmdFromURLParam returns a new LsCmd according path variable. -func NewLsCmdFromURLParam(path string) (*LsCmd, error) { - cmd := LsCmd{} - - m, err := url.ParseQuery(path) - if err != nil { - return nil, err - } - - if len(m["method"]) == 0 || - len(m["r"]) == 0 || - len(m["arg"]) == 0 { - return nil, errors.New(StatusNotEnoughArgs) - } - - cmd.Method = m["method"][0] - if cmd.Method != lsCmdName { - return nil, errors.New(http.StatusText(http.StatusMethodNotAllowed) + ":" + cmd.Method) - } - - cmd.R, err = strconv.ParseBool(m["r"][0]) - if err != nil { - return nil, errors.New(StatusInvalidArgs + ":r") - } - - cmd.Args = m["arg"] - - return &cmd, nil -} - -// NewLsCmd return a new LsCmd according r and path variable. -func NewLsCmd(r bool, path string) *LsCmd { - return &LsCmd{ - Method: lsCmdName, - R: r, - Args: []string{path}, - } -} - -func lsPath(path string, r bool) ([]LsResult, error) { - var ret []LsResult - - err := filepath.Walk(path, func(subpath string, info os.FileInfo, err error) error { - - if err != nil { - return err - } - - m := LsResult{} - m.Path = subpath - m.Size = info.Size() - m.ModTime = info.ModTime().UnixNano() - m.IsDir = info.IsDir() - - if subpath == path { - if info.IsDir() { - } else { - ret = append(ret, m) - } - } else { - ret = append(ret, m) - } - - if info.IsDir() && !r && subpath != path { - return filepath.SkipDir - } - - return nil - }) - - return ret, err -} - -// ValidateCloudArgs checks the conditions when running on cloud. -func (p *LsCmd) ValidateCloudArgs(userName string) error { - return ValidatePfsPath(p.Args, userName, lsCmdName) -} - -// ValidateLocalArgs checks the conditions when running local. -func (p *LsCmd) ValidateLocalArgs() error { - if len(p.Args) == 0 { - return errors.New(StatusNotEnoughArgs) - } - return nil -} - -// Run functions runs LsCmd and return LsResult and error if any happened. -func (p *LsCmd) Run() (interface{}, error) { - var results []LsResult - - for _, arg := range p.Args { - log.V(1).Infof("ls %s\n", arg) - - list, err := filepath.Glob(arg) - if err != nil { - return nil, err - } - - if len(list) == 0 { - return results, errors.New(StatusFileNotFound) - } - - for _, path := range list { - ret, err := lsPath(path, p.R) - if err != nil { - return results, err - } - results = append(results, ret...) - } - } - - return results, nil -} - -// Name returns LsCmd's name. -func (*LsCmd) Name() string { return "ls" } - -// Synopsis returns Synopsis of LsCmd. -func (*LsCmd) Synopsis() string { return "List files on PaddlePaddle Cloud" } - -// Usage returns usage of LsCmd. -func (*LsCmd) Usage() string { - return `ls [-r] : - List files on PaddlePaddleCloud - Options: -` -} - -// SetFlags sets LsCmd's parameters. -func (p *LsCmd) SetFlags(f *flag.FlagSet) { - f.BoolVar(&p.R, "r", false, "list files recursively") -} - -// getFormatPrint gets max width of filesize and return format string to print. -func getFormatString(result []LsResult) string { - max := 0 - for _, t := range result { - str := fmt.Sprintf("%d", t.Size) - - if len(str) > max { - max = len(str) - } - } - - return fmt.Sprintf("%%s %%s %%%dd %%s\n", max) -} - -func formatPrint(result []LsResult) { - formatStr := getFormatString(result) - - for _, t := range result { - timeStr := time.Unix(0, t.ModTime).Format("2006-01-02 15:04:05") - - if t.IsDir { - fmt.Printf(formatStr, timeStr, "d", t.Size, t.Path) - } else { - fmt.Printf(formatStr, timeStr, "f", t.Size, t.Path) - } - } - - fmt.Printf("\n") -} - -// RemoteLs gets LsCmd result from cloud. -func RemoteLs(cmd *LsCmd) ([]LsResult, error) { - t := fmt.Sprintf("%s/%s", Config.ActiveConfig.Endpoint, RESTFilesPath) - body, err := restclient.GetCall(t, cmd.ToURLParam()) - if err != nil { - return nil, err - } - - type lsResponse struct { - Err string `json:"err"` - Results []LsResult `json:"results"` - } - - log.V(4).Infoln(string(body[:])) - - resp := lsResponse{} - if err := json.Unmarshal(body, &resp); err != nil { - return resp.Results, err - } - - if len(resp.Err) == 0 { - return resp.Results, nil - } - - return resp.Results, errors.New(resp.Err) -} - -func remoteLs(cmd *LsCmd) error { - for _, arg := range cmd.Args { - subcmd := NewLsCmd( - cmd.R, - arg, - ) - result, err := RemoteLs(subcmd) - - fmt.Printf("%s :\n", arg) - if err != nil { - fmt.Printf(" error:%s\n\n", err.Error()) - return err - } - - formatPrint(result) - } - return nil -} - -// Execute runs a LsCmd. -func (p *LsCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() < 1 { - f.Usage() - return subcommands.ExitFailure - } - - cmd, err := newLsCmdFromFlag(f) - if err != nil { - return subcommands.ExitFailure - } - log.V(1).Infof("%#v\n", cmd) - - if err := remoteLs(cmd); err != nil { - return subcommands.ExitFailure - } - return subcommands.ExitSuccess -} diff --git a/go/filemanager/pfsmodules/ls_test.go b/go/filemanager/pfsmodules/ls_test.go deleted file mode 100644 index 1045b1c8..00000000 --- a/go/filemanager/pfsmodules/ls_test.go +++ /dev/null @@ -1,73 +0,0 @@ -package pfsmodules - -import ( - "flag" - "reflect" - "strings" - "testing" -) - -func TestNewLsCmdFromURLParam(t *testing.T) { - s := LsCmd{ - Method: "ls", - R: false, - Args: []string{"/pfs/test1/", "/pfs/test2/"}, - } - - path := "arg=%2Fpfs%2Ftest1%2F&arg=%2Fpfs%2Ftest2%2F&method=ls&r=false" - - d, err := NewLsCmdFromURLParam(path) - if err != nil { - t.Error(err.Error()) - } - - if s.Method != d.Method { - t.Error(d.Method) - } - - if s.R != d.R { - t.Error(d.R) - } - - eq := reflect.DeepEqual(s.Args, d.Args) - if !eq { - t.Error(s.Args) - t.Error(d.Args) - } -} - -func TestNewLsCmdFromFlag(t *testing.T) { - cmdLine := "ls -r /pfs/datacenter/home/user1/1.txt /pfs/datacenter/home/user1/" - a := strings.Split(cmdLine, " ") - - flag := flag.NewFlagSet("ls", flag.ExitOnError) - flag.Bool("r", false, "") - - if err := flag.Parse(a[1:]); err != nil { - t.Error(err.Error()) - } - - d, err := newLsCmdFromFlag(flag) - if err != nil { - t.Error(err.Error()) - } - - if d.Method != "ls" { - t.Error(d.Method) - } - - if !d.R { - t.Error(d.R) - } - - if len(d.Args) != 2 { - t.Error(len(d.Args)) - } - - for _, s := range d.Args { - if s != "/pfs/datacenter/home/user1/1.txt" && - s != "/pfs/datacenter/home/user1/" { - t.Error(s) - } - } -} diff --git a/go/filemanager/pfsmodules/mkdir.go b/go/filemanager/pfsmodules/mkdir.go deleted file mode 100644 index 1813f27f..00000000 --- a/go/filemanager/pfsmodules/mkdir.go +++ /dev/null @@ -1,187 +0,0 @@ -package pfsmodules - -import ( - "context" - "encoding/json" - "errors" - "flag" - "fmt" - "net/url" - "os" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - log "github.com/golang/glog" - "github.com/google/subcommands" -) - -const ( - mkdirCmdName = "mkdir" -) - -// MkdirResult means Mkdir command's result. -type MkdirResult struct { - Path string `json:"path"` -} - -// MkdirCmd means Mkdir command. -type MkdirCmd struct { - Method string `json:"method"` - Args []string `json:"path"` -} - -// ValidateLocalArgs checks the conditions when running on local. -func (p *MkdirCmd) ValidateLocalArgs() error { - if len(p.Args) == 0 { - return errors.New(StatusNotEnoughArgs) - } - return nil -} - -// ValidateCloudArgs checks the conditions when running on cloud. -func (p *MkdirCmd) ValidateCloudArgs(userName string) error { - return ValidatePfsPath(p.Args, userName, mkdirCmdName) -} - -// ToURLParam need not to be implemented. -func (p *MkdirCmd) ToURLParam() url.Values { - panic("not implemented") -} - -// ToJSON encodes MkdirCmd to JSON string. -func (p *MkdirCmd) ToJSON() ([]byte, error) { - return json.Marshal(p) -} - -// NewMkdirCmd returns a new MkdirCmd. -func NewMkdirCmd(path string) *MkdirCmd { - return &MkdirCmd{ - Method: mkdirCmdName, - Args: []string{path}, - } -} - -// newMkdirCmdFromFlag returns a new MkdirCmd from parsed flags. -func newMkdirCmdFromFlag(f *flag.FlagSet) (*MkdirCmd, error) { - cmd := MkdirCmd{} - - cmd.Method = mkdirCmdName - cmd.Args = make([]string, 0, f.NArg()) - - for _, arg := range f.Args() { - log.V(2).Info(arg) - cmd.Args = append(cmd.Args, arg) - } - - return &cmd, nil -} - -// Run runs MkdirCmd. -func (p *MkdirCmd) Run() (interface{}, error) { - var results []MkdirResult - for _, path := range p.Args { - fi, err := os.Stat(path) - - if os.IsExist(err) && !fi.IsDir() { - return results, errors.New(StatusAlreadyExist) - } - - if err := os.MkdirAll(path, 0700); err != nil { - return results, err - } - - results = append(results, MkdirResult{Path: path}) - } - - return results, nil -} - -// Name returns name of MkdirComand. -func (*MkdirCmd) Name() string { return "mkdir" } - -// Synopsis returns synopsis of MkdirCmd. -func (*MkdirCmd) Synopsis() string { return "mkdir directoies on PaddlePaddle Cloud" } - -// Usage returns usage of MkdirCmd. -func (*MkdirCmd) Usage() string { - return `mkdir : - mkdir directories on PaddlePaddleCloud - Options: -` -} - -// SetFlags sets MkdirCmd's parameters. -func (p *MkdirCmd) SetFlags(f *flag.FlagSet) { -} - -func formatMkdirPrint(results []MkdirResult, err error) { - if err != nil { - fmt.Println("\t" + err.Error()) - } -} - -// RemoteMkdir creat a directory on cloud. -func RemoteMkdir(cmd *MkdirCmd) ([]MkdirResult, error) { - j, err := cmd.ToJSON() - if err != nil { - return nil, err - } - - t := fmt.Sprintf("%s/%s", Config.ActiveConfig.Endpoint, RESTFilesPath) - log.V(2).Infoln(t) - body, err := restclient.PostCall(t, j) - if err != nil { - return nil, err - } - - log.V(3).Info(string(body[:])) - - type mkdirResponse struct { - Err string `json:"err"` - Results []MkdirResult `json:"results"` - } - - resp := mkdirResponse{} - if err := json.Unmarshal(body, &resp); err != nil { - return resp.Results, err - } - - log.V(1).Infof("%#v\n", resp) - - if len(resp.Err) == 0 { - return resp.Results, nil - } - - return resp.Results, errors.New(resp.Err) -} - -func remoteMkdir(cmd *MkdirCmd) error { - for _, arg := range cmd.Args { - subcmd := NewMkdirCmd(arg) - - fmt.Printf("mkdir %s\n", arg) - results, err := RemoteMkdir(subcmd) - formatMkdirPrint(results, err) - } - return nil - -} - -// Execute runs a MkdirCmd. -func (p *MkdirCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() < 1 { - f.Usage() - return subcommands.ExitFailure - } - - cmd, err := newMkdirCmdFromFlag(f) - if err != nil { - return subcommands.ExitFailure - } - log.V(1).Infof("%#v\n", cmd) - - if err := remoteMkdir(cmd); err != nil { - return subcommands.ExitFailure - } - - return subcommands.ExitSuccess -} diff --git a/go/filemanager/pfsmodules/remotefile.go b/go/filemanager/pfsmodules/remotefile.go deleted file mode 100644 index a5e5b8db..00000000 --- a/go/filemanager/pfsmodules/remotefile.go +++ /dev/null @@ -1,162 +0,0 @@ -package pfsmodules - -import ( - "bytes" - "encoding/json" - "errors" - "fmt" - "io" - "mime/multipart" - "os" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - log "github.com/golang/glog" -) - -// RemoteFile is a remote file's handle. -type RemoteFile struct { - Path string - Flag int - Size int64 -} - -// Open file to read ,write or read-write. -// if flag == O_WRONLY or flag == O_RDWR, this function will -// attempt to create a sized file on remote if it does't exist. -func (f *RemoteFile) Open(path string, flag int, size int64) error { - if flag != os.O_RDONLY && - flag != os.O_WRONLY && - flag != os.O_RDWR { - return errors.New("only support os.O_RDONLY, os.O_WRONLY, os.O_RDWR") - } - - f.Path = path - f.Flag = flag - f.Size = size - - if flag == os.O_WRONLY || - flag == os.O_RDWR { - - cmd := TouchCmd{ - Method: TouchCmdName, - Path: path, - FileSize: size, - } - - // create sized file. - if err := remoteTouch(&cmd); err != nil { - return err - } - } - return nil -} - -func getChunkData(m ChunkParam) (*Chunk, error) { - t := fmt.Sprintf("%s/%s", Config.ActiveConfig.Endpoint, RESTChunksStoragePath) - log.V(1).Info("target url: " + t) - - resp, err := restclient.GetChunk(t, m.ToURLParam()) - if err != nil { - return nil, err - } - defer Close(resp.Body) - - if resp.Status != restclient.HTTPOK { - return nil, errors.New("http server returned non-200 status: " + resp.Status) - } - - var c = &Chunk{} - partReader := multipart.NewReader(resp.Body, DefaultMultiPartBoundary) - for { - part, err := partReader.NextPart() - if err == io.EOF { - break - } - - if part.FormName() != "chunk" { - continue - } - - log.V(2).Infof("received post chunk param:%s\n", part.FileName()) - m1, err := ParseChunkParam(part.FileName()) - if err != nil { - return nil, errors.New(err.Error()) - } - - c = NewChunk(m1.Size) - c.Len = m1.Size - c.Offset = m1.Offset - n, err := io.ReadFull(part, c.Data) - if err != nil { - return c, err - } - - if int64(n) != m1.Size { - log.V(2).Infof("download chunk data error expected %d real %d", m1.Size, n) - } - } - - return c, nil -} - -// ReadChunk reads Chunk data from f. -func (f *RemoteFile) ReadChunk(offset int64, len int64) (*Chunk, error) { - if len == 0 { - return &Chunk{}, nil - } - - m := ChunkParam{ - Path: f.Path, - Offset: offset, - Size: len, - } - - return getChunkData(m) -} - -// GetChunkMeta gets ChunkMeta info from f. -func (f *RemoteFile) GetChunkMeta(offset int64, len int64) (*ChunkMeta, error) { - if len == 0 { - return &ChunkMeta{}, nil - } - - return remoteChunkMeta(f.Path, offset, len) -} - -// WriteChunk writes chunk data to f. -func (f *RemoteFile) WriteChunk(c *Chunk) error { - t := fmt.Sprintf("%s/%s", Config.ActiveConfig.Endpoint, RESTChunksStoragePath) - log.V(3).Infoln("chunk's URI:" + t) - - p := ChunkParam{ - Path: f.Path, - Offset: c.Offset, - Size: c.Len, - } - log.V(3).Infof("write chunk param:%v\n", p) - param := p.ToURLParam().Encode() - - body, err := restclient.PostChunk(t, param, - bytes.NewReader(c.Data), c.Len, DefaultMultiPartBoundary) - - if err != nil { - return err - } - - log.V(3).Info("received body:" + string(body[:])) - - resp := uploadChunkResponse{} - if err := json.Unmarshal(body, &resp); err != nil { - return err - } - - if len(resp.Err) == 0 { - return nil - } - - return errors.New(resp.Err) -} - -// Close is function not need implement. -func (f *RemoteFile) Close() { -} diff --git a/go/filemanager/pfsmodules/rm.go b/go/filemanager/pfsmodules/rm.go deleted file mode 100644 index a3e05104..00000000 --- a/go/filemanager/pfsmodules/rm.go +++ /dev/null @@ -1,225 +0,0 @@ -package pfsmodules - -import ( - "context" - "encoding/json" - "errors" - "flag" - "fmt" - "net/url" - "os" - "path/filepath" - "strconv" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - log "github.com/golang/glog" - "github.com/google/subcommands" -) - -const ( - rmCmdName = "rm" -) - -// RmResult means Rm-command's result. -type RmResult struct { - Path string `json:"path"` -} - -// RmCmd means Rm command. -type RmCmd struct { - Method string `json:"method"` - R bool `json:"r"` - Args []string `json:"path"` -} - -// ValidateLocalArgs checks the conditions when running local. -func (p *RmCmd) ValidateLocalArgs() error { - if len(p.Args) == 0 { - return errors.New(StatusInvalidArgs) - } - return nil -} - -// ValidateCloudArgs checks the conditions when running on cloud. -func (p *RmCmd) ValidateCloudArgs(userName string) error { - return ValidatePfsPath(p.Args, userName, rmCmdName) -} - -// ToURLParam needs not to be implemented. -func (p *RmCmd) ToURLParam() url.Values { - panic("not implemented") -} - -// ToJSON encodes RmCmd to JSON string. -func (p *RmCmd) ToJSON() ([]byte, error) { - return json.Marshal(p) -} - -// NewRmCmd returns a new RmCmd. -func NewRmCmd(r bool, path string) *RmCmd { - return &RmCmd{ - Method: rmCmdName, - R: r, - Args: []string{path}, - } -} - -func newRmCmdFromFlag(f *flag.FlagSet) (*RmCmd, error) { - cmd := RmCmd{} - - cmd.Method = rmCmdName - cmd.Args = make([]string, 0, f.NArg()) - - var err error - f.Visit(func(flag *flag.Flag) { - if flag.Name == "r" { - cmd.R, err = strconv.ParseBool(flag.Value.String()) - if err != nil { - log.Errorln("meets error when parsing argument r") - return - } - } - }) - - if err != nil { - return nil, err - } - - for _, arg := range f.Args() { - log.V(2).Info(arg) - cmd.Args = append(cmd.Args, arg) - } - - return &cmd, nil -} - -// Run runs RmCmd. -func (p *RmCmd) Run() (interface{}, error) { - var result []RmResult - - for _, path := range p.Args { - list, err := filepath.Glob(path) - if err != nil { - return result, err - } - - for _, arg := range list { - fi, err := os.Stat(arg) - if err != nil { - return result, err - } - - if fi.IsDir() && !p.R { - return result, errors.New(StatusCannotDelDirectory + ":" + arg) - } - - if err := os.RemoveAll(arg); err != nil { - return result, err - } - - result = append(result, RmResult{Path: arg}) - } - } - - return result, nil -} - -// Name returns RmCmd's name. -func (*RmCmd) Name() string { return "rm" } - -// Synopsis returns synopsis of RmCmd. -func (*RmCmd) Synopsis() string { return "rm files on PaddlePaddle Cloud" } - -// Usage returns usage of RmCmd. -func (*RmCmd) Usage() string { - return `rm -r : - rm files on PaddlePaddleCloud - Options: -` -} - -// SetFlags sets RmCmd's parameters. -func (p *RmCmd) SetFlags(f *flag.FlagSet) { - f.BoolVar(&p.R, "r", false, "rm files recursively") -} - -func formatRmPrint(results []RmResult, err error) { - for _, result := range results { - fmt.Printf("rm %s\n", result.Path) - } - - if err != nil { - fmt.Println("\t" + err.Error()) - } - - return -} - -// RemoteRm gets RmCmd Result from cloud. -func RemoteRm(cmd *RmCmd) ([]RmResult, error) { - j, err := cmd.ToJSON() - if err != nil { - return nil, err - } - - t := fmt.Sprintf("%s/%s", Config.ActiveConfig.Endpoint, RESTFilesPath) - body, err := restclient.DeleteCall(t, j) - if err != nil { - return nil, err - } - - log.V(3).Info(string(body[:])) - - type rmResponse struct { - Err string `json:"err"` - Results []RmResult `json:"path"` - } - - resp := rmResponse{} - if err := json.Unmarshal(body, &resp); err != nil { - return resp.Results, err - } - - log.V(1).Infof("%#v\n", resp) - - if len(resp.Err) == 0 { - return resp.Results, nil - } - - return resp.Results, errors.New(resp.Err) -} - -func remoteRm(cmd *RmCmd) error { - for _, arg := range cmd.Args { - subcmd := NewRmCmd( - cmd.R, - arg, - ) - - fmt.Printf("rm %s\n", arg) - result, err := RemoteRm(subcmd) - formatRmPrint(result, err) - } - return nil - -} - -// Execute runs a RmCmd. -func (p *RmCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() < 1 { - f.Usage() - return subcommands.ExitFailure - } - - cmd, err := newRmCmdFromFlag(f) - if err != nil { - return subcommands.ExitFailure - } - log.V(1).Infof("%#v\n", cmd) - - if err := remoteRm(cmd); err != nil { - return subcommands.ExitFailure - } - - return subcommands.ExitSuccess -} diff --git a/go/filemanager/pfsmodules/stat.go b/go/filemanager/pfsmodules/stat.go deleted file mode 100644 index 867c20d8..00000000 --- a/go/filemanager/pfsmodules/stat.go +++ /dev/null @@ -1,110 +0,0 @@ -package pfsmodules - -import ( - "encoding/json" - "errors" - "fmt" - "net/http" - "net/url" - "os" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - log "github.com/golang/glog" -) - -const ( - // StatCmdName means stat command name. - StatCmdName = "stat" -) - -// StatCmd means stat command. -type StatCmd struct { - Method string - Path string -} - -// ToURLParam encodes StatCmd to URL Encoding string. -func (p *StatCmd) ToURLParam() url.Values { - parameters := url.Values{} - parameters.Add("method", p.Method) - parameters.Add("path", p.Path) - - return parameters -} - -// ToJSON encodes memebers to json string. -func (p *StatCmd) ToJSON() ([]byte, error) { - return json.Marshal(p) -} - -// NewStatCmdFromURLParam return a new StatCmd. -func NewStatCmdFromURLParam(path string) (*StatCmd, error) { - cmd := StatCmd{} - - m, err := url.ParseQuery(path) - if err != nil || - len(m["method"]) == 0 || - len(m["path"]) == 0 { - return nil, errors.New(StatusNotEnoughArgs) - } - - cmd.Method = m["method"][0] - if cmd.Method != StatCmdName { - return nil, errors.New(http.StatusText(http.StatusMethodNotAllowed) + ":" + cmd.Method) - } - - cmd.Path = m["path"][0] - return &cmd, nil -} - -// ValidateLocalArgs checks the condition when running local. -func (p *StatCmd) ValidateLocalArgs() error { - panic("not implement") -} - -// ValidateCloudArgs checks the conditions when running on cloud. -func (p *StatCmd) ValidateCloudArgs(userName string) error { - return ValidatePfsPath([]string{p.Path}, userName, StatCmdName) -} - -// Run runs the StatCmd. -func (p *StatCmd) Run() (interface{}, error) { - fi, err := os.Stat(p.Path) - if err != nil { - return nil, err - } - - return &LsResult{ - Path: p.Path, - ModTime: fi.ModTime().UnixNano(), - IsDir: fi.IsDir(), - Size: fi.Size(), - }, nil -} - -func remoteStat(cmd *StatCmd) (*LsResult, error) { - t := fmt.Sprintf("%s/%s", Config.ActiveConfig.Endpoint, RESTFilesPath) - log.V(3).Infoln("remotestat target URI:" + t) - body, err := restclient.GetCall(t, cmd.ToURLParam()) - if err != nil { - return nil, err - } - - type statResponse struct { - Err string `json:"err"` - Results LsResult `json:"results"` - } - - resp := statResponse{} - if err := json.Unmarshal(body, &resp); err != nil { - return nil, err - } - - log.V(1).Infof("result:%#v\n", resp) - - if len(resp.Err) != 0 { - return nil, errors.New(resp.Err) - } - - return &resp.Results, nil -} diff --git a/go/filemanager/pfsmodules/status.go b/go/filemanager/pfsmodules/status.go deleted file mode 100644 index 93e31196..00000000 --- a/go/filemanager/pfsmodules/status.go +++ /dev/null @@ -1,42 +0,0 @@ -package pfsmodules - -// TODO -// need a custom error type? - -const ( - // StatusFileNotFound is a error string of that there is no file or directory. - StatusFileNotFound = "no such file or directory" - // StatusDirectoryNotAFile is a error string of that the destination should be a file. - StatusDirectoryNotAFile = "should be a file not a directory" - // StatusCopyFromLocalToLocal is a error string of that this system does't support copy local to local. - StatusCopyFromLocalToLocal = "don't support copy local to local" - // StatusDestShouldBeDirectory is a error string of that destination shoule be a directory. - StatusDestShouldBeDirectory = "dest should be a directory" - // StatusOnlySupportFiles is a error string of that the system only support upload or download files not directories. - StatusOnlySupportFiles = "only support upload or download files not directories" - // StatusBadFileSize is a error string of that the file size is no valid. - StatusBadFileSize = "bad file size" - // StatusDirectoryAlreadyExist is a error string of that the directory is already exist. - StatusDirectoryAlreadyExist = "directory already exist" - // StatusBadChunkSize is a error string of that the chunksize is error. - StatusBadChunkSize = "chunksize error" - // StatusShouldBePfsPath is a error string of that a path should be a pfs path. - StatusShouldBePfsPath = "should be pfs path" - // StatusNotEnoughArgs is a error string of that there is not enough arguments. - StatusNotEnoughArgs = "not enough arguments" - // StatusInvalidArgs is a error string of that arguments are not valid. - StatusInvalidArgs = "invalid arguments" - // StatusUnAuthorized is a error string of that what you request should have authorization. - StatusUnAuthorized = "what you request is unauthorized" - // StatusJSONErr is a error string of that the system parses json error. - StatusJSONErr = "parse json error" - // StatusCannotDelDirectory is a error string of that what you input can't delete a directory. - StatusCannotDelDirectory = "can't del directory" - // StatusAlreadyExist is a error string of that the destination is already exist. - StatusAlreadyExist = "already exist" - // StatusBadPath is a error string of that the form of path is not correct. - StatusBadPath = "the path should be in format eg:/pf/datacentername/" - - // StatusFileEOF is a status string indicates that the file reaches end - StatusFileEOF = "this file reaches end" -) diff --git a/go/filemanager/pfsmodules/touch.go b/go/filemanager/pfsmodules/touch.go deleted file mode 100644 index 2860e171..00000000 --- a/go/filemanager/pfsmodules/touch.go +++ /dev/null @@ -1,184 +0,0 @@ -package pfsmodules - -import ( - "encoding/json" - "errors" - "fmt" - "net/http" - "net/url" - "os" - "strconv" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - log "github.com/golang/glog" -) - -const ( - defaultMaxCreateFileSize = int64(1 * 1024 * 1024 * 1024 * 1024) -) - -const ( - // TouchCmdName is the name of touch command. - TouchCmdName = "touch" -) - -// TouchResult represents touch-command's result. -type TouchResult struct { - Path string `json:"path"` -} - -// TouchCmd is holds touch command's variables. -type TouchCmd struct { - Method string `json:"method"` - FileSize int64 `json:"filesize"` - Path string `json:"path"` -} - -func (p *TouchCmd) checkFileSize() error { - if p.FileSize < 0 || p.FileSize > defaultMaxCreateFileSize { - return errors.New(StatusBadFileSize + ":" + fmt.Sprint(p.FileSize)) - } - return nil -} - -// ValidateLocalArgs check the conditions when running local. -func (p *TouchCmd) ValidateLocalArgs() error { - return p.checkFileSize() -} - -// ValidateCloudArgs checks the conditions when running on cloud. -func (p *TouchCmd) ValidateCloudArgs(userName string) error { - if err := ValidatePfsPath([]string{p.Path}, userName, TouchCmdName); err != nil { - return err - } - - return p.checkFileSize() -} - -// ToURLParam encodes a TouchCmd to a URL encoding string. -func (p *TouchCmd) ToURLParam() url.Values { - parameters := url.Values{} - parameters.Add("method", p.Method) - parameters.Add("path", p.Path) - - str := fmt.Sprint(p.FileSize) - parameters.Add("path", str) - - return parameters -} - -// ToJSON encodes a TouchCmd to a JSON string. -func (p *TouchCmd) ToJSON() ([]byte, error) { - return json.Marshal(p) -} - -// NewTouchCmdFromURLParam return a new TouchCmd with specified path. -func NewTouchCmdFromURLParam(path string) (*TouchCmd, int32) { - cmd := TouchCmd{} - - m, err := url.ParseQuery(path) - if err != nil || - len(m["method"]) == 0 || - len(m["filesize"]) == 0 || - len(m["path"]) == 0 { - return nil, http.StatusBadRequest - } - - cmd.Method = m["method"][0] - if cmd.Method != TouchCmdName { - return nil, http.StatusBadRequest - } - - cmd.FileSize, err = strconv.ParseInt(m["filesize"][0], 0, 64) - if err != nil { - return nil, http.StatusBadRequest - } - - cmd.Path = m["path"][0] - - return &cmd, http.StatusOK -} - -// CreateSizedFile creates a file with specified size. -func CreateSizedFile(path string, size int64) error { - fd, err := os.Create(path) - if err != nil { - log.Errorf("create path:%v error:%v\n", path, err) - return err - } - defer Close(fd) - - if size <= 0 { - return nil - } - - _, err = fd.Seek(size-1, 0) - if err != nil { - log.Errorf("seek path:%v size:%v error:%v\n", path, size, err) - return err - } - - _, err = fd.Write([]byte{0}) - if err != nil { - log.Errorf("write byte{0} fd:%v path:%v size:%v error:%v\n", fd, path, size, err) - } - return err -} - -// Run is a function runs TouchCmd. -func (p *TouchCmd) Run() (interface{}, error) { - if p.FileSize < 0 || p.FileSize > defaultMaxCreateFileSize { - return nil, errors.New(StatusBadFileSize) - } - - fi, err := os.Stat(p.Path) - if os.IsExist(err) && fi.IsDir() { - return nil, errors.New(StatusDirectoryAlreadyExist) - } - - if os.IsNotExist(err) || fi.Size() != p.FileSize { - if err := CreateSizedFile(p.Path, p.FileSize); err != nil { - return nil, err - } - } - - return &TouchResult{ - Path: p.Path, - }, nil -} - -func localTouch(cmd *TouchCmd) error { - if _, err := cmd.Run(); err != nil { - return err - } - - return nil -} -func remoteTouch(cmd *TouchCmd) error { - j, err := cmd.ToJSON() - if err != nil { - return err - } - - t := fmt.Sprintf("%s/%s", Config.ActiveConfig.Endpoint, RESTFilesPath) - body, err := restclient.PostCall(t, j) - if err != nil { - return err - } - - type touchResponse struct { - Err string `json:"err"` - Results TouchResult `json:"results"` - } - - resp := touchResponse{} - if err := json.Unmarshal(body, &resp); err != nil { - return err - } - - if len(resp.Err) == 0 { - return nil - } - - return errors.New(resp.Err) -} diff --git a/go/filemanager/pfsmodules/upload.go b/go/filemanager/pfsmodules/upload.go deleted file mode 100644 index 9ceacab1..00000000 --- a/go/filemanager/pfsmodules/upload.go +++ /dev/null @@ -1,166 +0,0 @@ -package pfsmodules - -import ( - "errors" - "fmt" - "io" - "os" - "path/filepath" - "strings" - "time" - - "github.com/PaddlePaddle/cloud/go/utils/config" - "github.com/fatih/color" - log "github.com/golang/glog" -) - -// Config is global config object for pfs commandline -var Config *config.SubmitConfig - -type uploadChunkResponse struct { - Err string `json:"err"` -} - -func getChunkReader(path string, offset int64) (*os.File, error) { - f, err := os.Open(path) - if err != nil { - return nil, err - } - - _, err = f.Seek(offset, 0) - if err != nil { - Close(f) - return nil, err - } - - return f, nil -} - -func uploadFile(src, dst string, srcFileSize int64, verbose bool, chunkSize int64) error { - r := FileHandle{} - if err := r.Open(src, os.O_RDONLY, 0); err != nil { - return err - } - defer r.Close() - - w := RemoteFile{} - if err := w.Open(dst, os.O_RDWR, srcFileSize); err != nil { - return err - } - defer w.Close() - - // upload chunks. - if chunkSize <= 0 { - chunkSize = defaultChunkSize - } - - offset := int64(0) - for { - start := time.Now() - c, errc := r.ReadChunk(offset, chunkSize) - if errc != nil && errc != io.EOF { - return errc - } - log.V(2).Infoln("local chunk info:" + c.String()) - - m, errm := w.GetChunkMeta(offset, chunkSize) - if errm != nil && errm != io.EOF { - return errm - } - log.V(2).Infoln("remote chunk info:" + m.String()) - offset += c.Len - - if c.Checksum == m.Checksum { - if verbose { - used := time.Since(start).Nanoseconds() / time.Millisecond.Nanoseconds() - ColorInfoOverWrite("%s upload %d%% %dKB/s", src, offset*100/srcFileSize, c.Len/used) - } - log.V(2).Infof("remote and local chunk are same chunk info:%s\n", c.String()) - if errm == io.EOF || errc == io.EOF { - break - } - continue - } - - if verbose { - used := time.Since(start).Nanoseconds() / time.Millisecond.Nanoseconds() - ColorInfoOverWrite("%s upload %d%% %dKB/s", src, offset*100/srcFileSize, c.Len/used) - } - - if err := w.WriteChunk(c); err != nil { - return err - } - log.V(2).Infof("upload chunk:%s ok\n\n", c.String()) - if errm == io.EOF || errc == io.EOF { - break - } - } - - if offset != srcFileSize { - return fmt.Errorf("expect %d upload %d", srcFileSize, offset) - } - - return nil -} - -// ColorError print red ERROR before message. -func ColorError(format string, a ...interface{}) { - color.New(color.FgRed).Printf("[ERROR] ") - fmt.Printf(format, a...) -} - -// ColorInfo print green INFO before message. -func ColorInfo(format string, a ...interface{}) { - color.New(color.FgGreen).Printf("[INFO] ") - fmt.Printf(format, a...) -} - -// ColorInfoOverWrite print green INFO before message overwrite last line. -func ColorInfoOverWrite(format string, a ...interface{}) { - fmt.Printf("\r%c[2K", 27) - color.New(color.FgGreen).Printf("[INFO] ") - fmt.Printf(format, a...) -} - -func upload(src, dst string, verbose bool, chunkSize int64) error { - lsCmd := NewLsCmd(true, src) - srcRet, err := lsCmd.Run() - if err != nil { - return err - } - log.V(3).Infof("ls src:%s result:%#v\n", src, srcRet) - - dstMeta, err := remoteStat(&StatCmd{Path: dst, Method: StatCmdName}) - if err != nil && !strings.Contains(err.Error(), StatusFileNotFound) { - ColorError("Upload %s to %s error info:%s\n", src, dst, err) - return err - } - log.V(3).Infof("stat dst:%s result:%#v\n", dst, dstMeta) - - srcMetas := srcRet.([]LsResult) - - for _, srcMeta := range srcMetas { - if srcMeta.IsDir { - return errors.New(StatusOnlySupportFiles) - } - - realSrc := srcMeta.Path - realDst := dst - - _, file := filepath.Split(srcMeta.Path) - if dstMeta != nil && dstMeta.IsDir { - realDst = dst + "/" + file - } - - log.V(1).Infof("upload src_path:%s src_file_size:%d dst_path:%s\n", - realSrc, srcMeta.Size, realDst) - - if err := uploadFile(realSrc, realDst, srcMeta.Size, verbose, chunkSize); err != nil { - ColorError("Upload %s to %s error:%v\n", realSrc, realDst, err) - return err - } - ColorInfoOverWrite("Uploaded %s\n", realSrc) - } - - return nil -} diff --git a/go/filemanager/pfsserver/handler.go b/go/filemanager/pfsserver/handler.go deleted file mode 100644 index 5d46c0d3..00000000 --- a/go/filemanager/pfsserver/handler.go +++ /dev/null @@ -1,444 +0,0 @@ -package pfsserver - -import ( - "encoding/json" - "errors" - "fmt" - "io" - "io/ioutil" - "mime/multipart" - "net/http" - "os" - - pfsmod "github.com/PaddlePaddle/cloud/go/filemanager/pfsmodules" - "github.com/PaddlePaddle/cloud/go/utils/restclient" - sjson "github.com/bitly/go-simplejson" - log "github.com/golang/glog" -) - -type response struct { - Err string `json:"err"` - Results interface{} `json:"results"` -} - -// TokenURI is the address of token server -var TokenURI = "" - -func getUserName(uri string, token string) (string, error) { - authHeader := make(map[string]string) - authHeader["Authorization"] = token - - str := fmt.Sprintf("get uri with token error uri:%s token:%s\n", uri, token) - - req, err := restclient.MakeRequest(uri, "GET", nil, "", nil, authHeader) - if err != nil { - log.Errorln(str) - return "", err - } - - body, err := restclient.GetResponse(req) - if err != nil { - log.Errorln(str) - return "", err - } - - log.V(4).Infoln("get token2user resp:" + string(body[:])) - var resp interface{} - if err := json.Unmarshal(body, &resp); err != nil { - log.Errorln(string(body[:])) - return "", err - } - - user := resp.(map[string]interface{})["user"].(string) - if len(user) < 1 { - log.Errorln(resp) - return "", errors.New("can't get username") - } - - return user, nil -} - -func cmdHandler(w http.ResponseWriter, req string, cmd pfsmod.Command, header http.Header) { - resp := response{} - - user, err := getUserName(TokenURI+"/"+pfsmod.RESTTokenPath, header.Get("Authorization")) - if err != nil { - resp.Err = "get username error:" + err.Error() - writeJSONResponse(w, req, http.StatusOK, resp) - return - } - - if err := cmd.ValidateCloudArgs(user); err != nil { - resp.Err = err.Error() - writeJSONResponse(w, req, http.StatusOK, resp) - return - } - - ret, _ := cmd.ToJSON() - log.Infof("user:%s cmd:%s\n", user, string(ret[:])) - - result, err := cmd.Run() - if err != nil && err != io.EOF { - resp.Err = err.Error() - writeJSONResponse(w, req, http.StatusOK, resp) - return - } - - resp.Results = result - writeJSONResponse(w, req, http.StatusOK, resp) -} - -func lsHandler(w http.ResponseWriter, r *http.Request) { - cmd, err := pfsmod.NewLsCmdFromURLParam(r.URL.RawQuery) - - resp := response{} - if err != nil { - resp.Err = err.Error() - writeJSONResponse(w, r.URL.RawQuery, http.StatusOK, resp) - return - } - - cmdHandler(w, r.URL.RawQuery, cmd, r.Header) -} - -func statHandler(w http.ResponseWriter, r *http.Request) { - log.V(1).Info("begin stathandler") - cmd, err := pfsmod.NewStatCmdFromURLParam(r.URL.RawQuery) - - resp := response{} - if err != nil { - resp.Err = err.Error() - writeJSONResponse(w, r.URL.RawQuery, http.StatusOK, resp) - return - } - - cmdHandler(w, r.URL.RawQuery, cmd, r.Header) -} - -func writeJSONResponse(w http.ResponseWriter, - req string, - httpStatus int, - resp response) { - if httpStatus != http.StatusOK || len(resp.Err) > 0 { - log.Errorf("%s httpStatus:%d resp:=%v\n", - req, httpStatus, resp.Err) - } else { - log.V(1).Infof("%s httpStatus:%d resp:%#v\n", - req, httpStatus, resp) - } - - w.Header().Set("Content-Type", "application/json; charset=UTF-8") - w.WriteHeader(httpStatus) - - if err := json.NewEncoder(w).Encode(resp); err != nil { - log.Error(err) - } -} - -// GetFilesHandler processes files's GET request. -func GetFilesHandler(w http.ResponseWriter, r *http.Request) { - method := r.URL.Query().Get("method") - log.V(3).Infoln(r.URL.RawQuery) - - switch method { - case "ls": - lsHandler(w, r) - case "md5sum": - // TODO - // err := md5Handler(w, r) - case "stat": - statHandler(w, r) - default: - resp := response{} - writeJSONResponse(w, r.URL.RawQuery, - http.StatusMethodNotAllowed, resp) - } -} - -func rmHandler(w http.ResponseWriter, body []byte, header http.Header) { - log.V(1).Infof("begin proc rmHandler\n") - cmd := pfsmod.RmCmd{} - - resp := response{} - if err := json.Unmarshal(body, &cmd); err != nil { - writeJSONResponse(w, string(body[:]), http.StatusOK, resp) - return - } - - log.V(1).Infof("request :%#v\n", cmd) - - cmdHandler(w, string(body[:]), &cmd, header) - log.V(1).Infof("end proc handler\n") - -} - -func mkdirHandler(w http.ResponseWriter, body []byte, header http.Header) { - log.V(1).Infof("begin proc mkdir\n") - cmd := pfsmod.MkdirCmd{} - - resp := response{} - if err := json.Unmarshal(body, &cmd); err != nil { - writeJSONResponse(w, string(body[:]), http.StatusOK, resp) - return - } - - log.V(1).Infof("request :%#v\n", cmd) - - cmdHandler(w, string(body[:]), &cmd, header) - log.V(1).Infof("end proc mkdir\n") - -} - -func touchHandler(w http.ResponseWriter, body []byte, header http.Header) { - log.V(1).Infof("begin proc touch\n") - cmd := pfsmod.TouchCmd{} - - resp := response{} - if err := json.Unmarshal(body, &cmd); err != nil { - writeJSONResponse(w, string(body[:]), http.StatusOK, resp) - return - } - - log.V(1).Infof("request :%#v\n", cmd) - - cmdHandler(w, string(body[:]), &cmd, header) - log.V(1).Infof("end proc touch\n") -} - -func getBody(r *http.Request) ([]byte, error) { - body, err := ioutil.ReadAll(io.LimitReader(r.Body, pfsmod.MaxJSONRequestSize)) - if err != nil { - return nil, err - } - - if err := r.Body.Close(); err != nil { - return nil, err - } - - return body, nil -} - -func getMethod(body []byte) (string, error) { - o, err := sjson.NewJson(body) - if err != nil { - return "", errors.New(pfsmod.StatusJSONErr) - } - - j := o.Get("method") - if j == nil { - return "", errors.New(pfsmod.StatusJSONErr) - } - - method, _ := j.String() - if err != nil { - return "", errors.New(pfsmod.StatusJSONErr) - } - - return method, nil -} - -func modifyFilesHandler(w http.ResponseWriter, r *http.Request) { - resp := response{} - body, err := getBody(r) - log.V(3).Infof(string(body[:])) - if err != nil { - resp.Err = err.Error() - writeJSONResponse(w, string(body[:]), http.StatusOK, resp) - return - } - - method, err := getMethod(body) - if err != nil { - resp.Err = err.Error() - writeJSONResponse(w, string(body[:]), http.StatusOK, resp) - return - } - - switch method { - case "rm": - rmHandler(w, body, r.Header) - case "touch": - touchHandler(w, body, r.Header) - case "mkdir": - mkdirHandler(w, body, r.Header) - default: - resp := response{} - writeJSONResponse(w, string(body[:]), http.StatusMethodNotAllowed, resp) - } -} - -// DeleteFilesHandler processes files' DELETE request. -func DeleteFilesHandler(w http.ResponseWriter, r *http.Request) { - log.V(1).Infof("begin DeleteFilesHandler") - - modifyFilesHandler(w, r) - - log.V(1).Infof("end DeleteFilesHandler") -} - -// PostFilesHandler processes files' POST request. -func PostFilesHandler(w http.ResponseWriter, r *http.Request) { - log.V(1).Infof("begin PostFilesHandler\n") - - modifyFilesHandler(w, r) - - log.V(1).Infof("end PostFilesHandler\n") -} - -func getChunkMetaHandler(w http.ResponseWriter, r *http.Request) { - log.V(1).Infof("begin proc getChunkMeta\n") - cmd, err := pfsmod.NewChunkMetaCmdFromURLParam(r) - resp := response{} - - if err != nil { - resp.Err = err.Error() - writeJSONResponse(w, r.URL.RawQuery, http.StatusOK, resp) - return - } - - cmdHandler(w, r.URL.RawQuery, cmd, r.Header) - log.V(1).Infof("end proc getChunkMeta\n") -} - -// GetChunkMetaHandler processes GET ChunkMeta request. -func GetChunkMetaHandler(w http.ResponseWriter, r *http.Request) { - method := r.URL.Query().Get("method") - - switch method { - case "GetChunkMeta": - getChunkMetaHandler(w, r) - default: - writeJSONResponse(w, r.URL.RawQuery, http.StatusMethodNotAllowed, response{}) - } -} - -func checkChunkAuthorization(path string, header http.Header, cmdName string) (string, response) { - resp := response{} - // Check user authorization. - user, err := getUserName(TokenURI+"/"+pfsmod.RESTTokenPath, header.Get("Authorization")) - if err != nil { - resp.Err = "get username error:" + err.Error() - return "", resp - } - - if err := pfsmod.ValidatePfsPath([]string{path}, user, cmdName); err != nil { - resp.Err = err.Error() - return user, resp - } - - return user, resp -} - -func getChunk(w http.ResponseWriter, r *http.Request, param *pfsmod.ChunkParam) error { - writer := multipart.NewWriter(w) - writer.SetBoundary(pfsmod.DefaultMultiPartBoundary) - - fileName := param.ToURLParam().Encode() - part, err := writer.CreateFormFile("chunk", fileName) - if err != nil { - return err - } - defer writer.Close() - - fr := pfsmod.FileHandle{} - if err := fr.Open(param.Path, os.O_RDONLY, 0); err != nil { - return err - } - defer fr.Close() - - err = fr.CopyN(part, param.Offset, param.Size) - if err != nil { - if err != io.EOF { - return err - } - - return errors.New(pfsmod.StatusFileEOF) - } - return nil -} - -// GetChunkHandler processes GET Chunk request. -func GetChunkHandler(w http.ResponseWriter, r *http.Request) { - log.V(1).Infof("begin proc GetChunkHandler") - - p, err := pfsmod.ParseChunkParam(r.URL.RawQuery) - if err != nil { - writeJSONResponse(w, r.URL.RawQuery, http.StatusOK, response{}) - return - } - - user, resp := checkChunkAuthorization(p.Path, r.Header, "GetChunk") - if resp.Err != "" { - writeJSONResponse(w, r.URL.RawQuery, http.StatusOK, resp) - return - } - log.Infof("user:%s download %s\n", user, p.String()) - - err = getChunk(w, r, p) - if err != nil { - if err.Error() != pfsmod.StatusFileEOF { - log.Errorln("cmd %s error info:%s", p.String(), err) - } - resp.Err = err.Error() - } - - writeJSONResponse(w, r.URL.RawQuery, http.StatusOK, resp) - log.V(1).Info("end proc GetChunkHandler") - return -} - -// PostChunkHandler processes POST Chunk request. -func PostChunkHandler(w http.ResponseWriter, r *http.Request) { - log.V(1).Infoln("") - log.V(1).Infof("begin proc PostChunksHandler\n") - - resp := response{} - partReader, err := r.MultipartReader() - if err != nil { - writeJSONResponse(w, "ChunkHandler", http.StatusBadRequest, resp) - return - } - - for { - part, err := partReader.NextPart() - if err == io.EOF { - break - } - - if part.FormName() != "chunk" { - continue - } - - param, err := pfsmod.ParseChunkParam(part.FileName()) - if err != nil { - resp.Err = err.Error() - writeJSONResponse(w, part.FileName(), http.StatusOK, resp) - return - } - - user, resp := checkChunkAuthorization(param.Path, r.Header, "PostChunk") - if resp.Err != "" { - writeJSONResponse(w, r.URL.RawQuery, http.StatusOK, resp) - return - } - - log.V(2).Infof("received post chunk param:%s\n", param.String()) - log.Infof("user:%s upload %s\n", user, param.String()) - - fw := pfsmod.FileHandle{} - if err := fw.Open(param.Path, os.O_RDWR, -1); err != nil { - resp.Err = err.Error() - writeJSONResponse(w, part.FileName(), http.StatusOK, resp) - } - - if err := fw.Write(part, param.Offset, param.Size); err != nil { - resp.Err = err.Error() - writeJSONResponse(w, part.FileName(), http.StatusOK, resp) - } - defer fw.Close() - - writeJSONResponse(w, part.FileName(), http.StatusOK, resp) - } - - log.V(1).Infof("end proc PostChunksHandler\n\n") -} diff --git a/go/filemanager/pfsserver/handler_test.go b/go/filemanager/pfsserver/handler_test.go deleted file mode 100644 index 40e938b2..00000000 --- a/go/filemanager/pfsserver/handler_test.go +++ /dev/null @@ -1,64 +0,0 @@ -package pfsserver - -import ( - "crypto/md5" - "encoding/hex" - "fmt" - "io" - "mime/multipart" - "net/http/httptest" - "reflect" - "testing" - - pfsmod "github.com/PaddlePaddle/cloud/go/filemanager/pfsmodules" -) - -func TestGetChunk(t *testing.T) { - param := pfsmod.ChunkParam{} - param.Path = "./testdata/test_lt_chunk.dat" - param.Offset = 0 - param.Size = int64(4096) - - req := httptest.NewRequest("GET", "http://example.com/foo", nil) - w := httptest.NewRecorder() - err := getChunk(w, req, ¶m) - if err == nil || - err.Error() != pfsmod.StatusFileEOF { - t.Error(err) - } - - fmt.Println(w) - - partReader := multipart.NewReader(w.Body, pfsmod.DefaultMultiPartBoundary) - for { - part, err := partReader.NextPart() - if err == io.EOF { - break - } - - if part.FormName() != "chunk" { - continue - } - - m1, err := pfsmod.ParseChunkParam(part.FileName()) - if err != nil { - t.Error(err) - } - - if reflect.DeepEqual(m1, param) { - t.Error("m1 != param, m1:%v", m1) - } - - data := make([]byte, m1.Size) - n, err := io.ReadFull(part, data) - if err != io.ErrUnexpectedEOF { - t.Error(err) - } - - sum := md5.Sum(data[:n]) - checksum := hex.EncodeToString(sum[:]) - if checksum != "77c58f04583c86f78c51df158e3f35e8" { - t.Error("checksum error") - } - } -} diff --git a/go/filemanager/pfsserver/router.go b/go/filemanager/pfsserver/router.go deleted file mode 100644 index 2f4f6c86..00000000 --- a/go/filemanager/pfsserver/router.go +++ /dev/null @@ -1,46 +0,0 @@ -package pfsserver - -import ( - "net/http" - "time" - - log "github.com/golang/glog" - "github.com/gorilla/mux" -) - -func logger(inner http.Handler, name string) http.Handler { - return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) { - start := time.Now() - - inner.ServeHTTP(w, r) - - log.Infof( - "%s\t%s\t%s\t%s", - r.Method, - r.RequestURI, - name, - time.Since(start), - ) - }) -} - -// NewRouter returns a new Router struct. -func NewRouter() *mux.Router { - - router := mux.NewRouter().StrictSlash(true) - for _, route := range routes { - var handler http.Handler - - handler = route.HandlerFunc - handler = logger(handler, route.Name) - - router. - Methods(route.Method). - Path(route.Pattern). - Name(route.Name). - Handler(handler) - - } - - return router -} diff --git a/go/filemanager/pfsserver/routes.go b/go/filemanager/pfsserver/routes.go deleted file mode 100644 index 41c3e010..00000000 --- a/go/filemanager/pfsserver/routes.go +++ /dev/null @@ -1,59 +0,0 @@ -package pfsserver - -import ( - "net/http" - - pfsmod "github.com/PaddlePaddle/cloud/go/filemanager/pfsmodules" -) - -// Route represents route struct. -type Route struct { - Name string - Method string - Pattern string - HandlerFunc http.HandlerFunc -} - -// Routes is the a Route array -type Routes []Route - -var routes = Routes{ - Route{ - "GetFiles", - "GET", - "/" + pfsmod.RESTFilesPath, - GetFilesHandler, - }, - Route{ - "PostFiles", - "POST", - "/" + pfsmod.RESTFilesPath, - PostFilesHandler, - }, - Route{ - "DeleteFiles", - "DELETE", - "/" + pfsmod.RESTFilesPath, - DeleteFilesHandler, - }, - - Route{ - "GetChunksMeta", - "GET", - "/" + pfsmod.RESTChunksPath, - GetChunkMetaHandler, - }, - Route{ - "GetChunksData", - "GET", - "/" + pfsmod.RESTChunksStoragePath, - GetChunkHandler, - }, - - Route{ - "PostChunksData", - "POST", - "/" + pfsmod.RESTChunksStoragePath, - PostChunkHandler, - }, -} diff --git a/go/filemanager/pfsserver/testdata/test_lt_chunk.dat b/go/filemanager/pfsserver/testdata/test_lt_chunk.dat deleted file mode 100644 index 06e567b1..00000000 --- a/go/filemanager/pfsserver/testdata/test_lt_chunk.dat +++ /dev/null @@ -1,7 +0,0 @@ -1 -2 -3 -4 -5 -6 -7 diff --git a/go/paddlecloud/delete.go b/go/paddlecloud/delete.go deleted file mode 100644 index 7f0d1a77..00000000 --- a/go/paddlecloud/delete.go +++ /dev/null @@ -1,52 +0,0 @@ -package paddlecloud - -import ( - "context" - "flag" - "fmt" - "os" - - "github.com/google/subcommands" -) - -// DeleteCommand do job killings -type DeleteCommand struct { -} - -// Name is subcommands name -func (*DeleteCommand) Name() string { return "delete" } - -// Synopsis is subcommands synopsis -func (*DeleteCommand) Synopsis() string { return "Delete the specify resource." } - -// Usage is subcommands usage -func (*DeleteCommand) Usage() string { - return `delete registry [registry-name] -` -} - -// SetFlags registers subcommands flags -func (p *DeleteCommand) SetFlags(f *flag.FlagSet) { -} - -// Execute kill command -func (p *DeleteCommand) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() != 2 { - f.Usage() - return subcommands.ExitFailure - } - if f.Arg(0) == RegistryCmdName { - name := f.Arg(1) - r := RegistryCmd{SecretName: KubeRegistryName(name)} - err := r.Delete() - if err != nil { - fmt.Fprintf(os.Stderr, "error delete registry: %v\n", err) - return subcommands.ExitFailure - } - fmt.Fprintf(os.Stdout, "registry: [%s] is deleted\n", name) - } else { - f.Usage() - return subcommands.ExitFailure - } - return subcommands.ExitSuccess -} diff --git a/go/paddlecloud/get.go b/go/paddlecloud/get.go deleted file mode 100644 index 4f0719be..00000000 --- a/go/paddlecloud/get.go +++ /dev/null @@ -1,248 +0,0 @@ -package paddlecloud - -import ( - "context" - "encoding/json" - "flag" - "fmt" - "net/url" - "os" - "strings" - "text/tabwriter" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - "github.com/google/subcommands" -) - -// GetCommand exports get subcommand for fetching status -type GetCommand struct { - a bool -} - -// Name is subcommands name -func (*GetCommand) Name() string { return "get" } - -// Synopsis is subcommands synopsis -func (*GetCommand) Synopsis() string { return "Print resources" } - -// Usage is subcommands usage -func (*GetCommand) Usage() string { - return `get [jobs|workers|registry [jobname]|quota]: - Print resources. -` -} - -// SetFlags registers subcommands flags -func (p *GetCommand) SetFlags(f *flag.FlagSet) { - f.BoolVar(&p.a, "a", false, "Get all resources.") -} - -// Execute get command -func (p *GetCommand) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() < 1 || f.NArg() > 2 { - f.Usage() - return subcommands.ExitFailure - } - if f.Arg(0) == "jobs" { - jobs() - } else if f.Arg(0) == "quota" { - quota() - } else if f.Arg(0) == "registry" { - registry() - } else if f.Arg(0) == "workers" { - if f.NArg() != 2 { - f.Usage() - return subcommands.ExitFailure - } - workers(f.Arg(1)) - } else { - f.Usage() - return subcommands.ExitFailure - } - - return subcommands.ExitSuccess -} - -func workers(jobname string) error { - queryMap := url.Values{} - queryMap.Add("jobname", jobname) - respBody, err := restclient.GetCall(Config.ActiveConfig.Endpoint+"/api/v1/workers/", queryMap) - if err != nil { - fmt.Fprintf(os.Stderr, "error getting workers: %v\n", err) - return err - } - var respObj interface{} - err = json.Unmarshal(respBody, &respObj) - if err != nil { - fmt.Fprintf(os.Stderr, "bad server return: %s", respBody) - return err - } - - w := tabwriter.NewWriter(os.Stdout, 0, 0, 3, ' ', 0) - - fmt.Fprintln(w, "NAME\tSTATUS\tSTART\tEXIT_CODE\tMSG\t") - if err != nil { - fmt.Fprintf(os.Stderr, "error parsing: %s", err) - return err - } - for _, item := range respObj.(map[string]interface{})["items"].([]interface{}) { - var exitCode, msg interface{} - terminateState := item.(map[string]interface{})["status"].(map[string]interface{})["container_statuses"].([]interface{})[0].(map[string]interface{})["state"].(map[string]interface{})["terminated"] - - if terminateState != nil { - exitCode = terminateState.(map[string]interface{})["exit_code"] - msg = terminateState.(map[string]interface{})["message"] - } - - fmt.Fprintf(w, "%s\t%s\t%v\t%v\t%v\t\n", - item.(map[string]interface{})["metadata"].(map[string]interface{})["name"].(string), - item.(map[string]interface{})["status"].(map[string]interface{})["phase"].(string), - item.(map[string]interface{})["status"].(map[string]interface{})["start_time"], - exitCode, msg) - } - w.Flush() - return nil -} -func registry() error { - respBody, err := restclient.GetCall(Config.ActiveConfig.Endpoint+"/api/v1/registry/", nil) - if err != nil { - fmt.Fprintf(os.Stderr, "err getting registry secret: %v\n", err) - return err - } - var respObj interface{} - err = json.Unmarshal(respBody, &respObj) - if err != nil { - return err - } - items := respObj.(map[string]interface{})["msg"].(map[string]interface{})["items"].([]interface{}) - w := tabwriter.NewWriter(os.Stdout, 0, 0, 3, ' ', 0) - if len(items) >= 0 { - fmt.Fprintf(w, "ID\tNAME\tDATA\n") - } - idx := 0 - for _, r := range items { - metadata := r.(map[string]interface{})["metadata"].(map[string]interface{}) - name := RegistryName(metadata["name"].(string)) - if len(name) != 0 { - cTime := metadata["creation_timestamp"].(string) - fmt.Fprintf(w, "%d\t%s\t%s\n", idx, name, cTime) - idx++ - } - } - w.Flush() - return err -} - -func jobs() error { - // NOTE: a job include pserver replicaset and a trainers job, display them - // get pserver replicaset - // "status": { - // "available_replicas": 1, - // "conditions": null, - // "fully_labeled_replicas": 1, - // "observed_generation": 1, - // "ready_replicas": 1, - // "replicas": 1 - var respObj interface{} - - respBody, err := restclient.GetCall(Config.ActiveConfig.Endpoint+"/api/v1/pservers/", nil) - if err != nil { - fmt.Fprintf(os.Stderr, "error getting pservers: %v\n", err) - return err - } - err = json.Unmarshal(respBody, &respObj) - if err != nil { - return err - } - - pserverItems := respObj.(map[string]interface{})["items"].([]interface{}) - - // get kubernetes jobs info - respBody, err = restclient.GetCall(Config.ActiveConfig.Endpoint+"/api/v1/jobs/", nil) - if err != nil { - fmt.Fprintf(os.Stderr, "error getting jobs: %v\n", err) - return err - } - - err = json.Unmarshal(respBody, &respObj) - if err != nil { - return err - } - itemsRaw, ok := respObj.(map[string]interface{})["items"] - if !ok { - // nothing to print - return nil - } - items := itemsRaw.([]interface{}) - // NOTE: terminating section may not exist - var termJobs []interface{} - if termJobsRaw, ok := respObj.(map[string]interface{})["terminating"]; ok { - termJobs = termJobsRaw.([]interface{}) - } else { - termJobs = []interface{}{} - } - - w := tabwriter.NewWriter(os.Stdout, 0, 0, 3, ' ', 0) - if len(items) >= 0 { - fmt.Fprintf(w, "NAME\tACTIVE\tSUCC\tFAIL\tSTART\tCOMP\tPS_READY\tPS_TOTAL\t\n") - } - for _, j := range items { - jobnameTrainer := j.(map[string]interface{})["metadata"].(map[string]interface{})["name"].(string) - jobnameParts := strings.Split(jobnameTrainer, "-") - jobname := strings.Join(jobnameParts[0:len(jobnameParts)-1], "-") - // get info for job pservers - var psrsname string - var readyReplicas, replicas interface{} - for _, psrs := range pserverItems { - psrsname = psrs.(map[string]interface{})["metadata"].(map[string]interface{})["name"].(string) - if psrsname == jobname+"-pserver" { - readyReplicas = psrs.(map[string]interface{})["status"].(map[string]interface{})["ready_replicas"] - replicas = psrs.(map[string]interface{})["status"].(map[string]interface{})["replicas"] - break - } - } - - fmt.Fprintf(w, "%s\t%v\t%v\t%v\t%v\t%v\t%v\t%v\t\n", - jobname, - j.(map[string]interface{})["status"].(map[string]interface{})["active"], - j.(map[string]interface{})["status"].(map[string]interface{})["succeeded"], - j.(map[string]interface{})["status"].(map[string]interface{})["failed"], - j.(map[string]interface{})["status"].(map[string]interface{})["start_time"], - j.(map[string]interface{})["status"].(map[string]interface{})["completion_time"], - readyReplicas, replicas) - } - - for _, t := range termJobs { - fmt.Fprintf(w, "%s\t%s\t%v\t%v\t%v\t%v\t%v\t%v\t\n", - t, - "Terminating", - nil, nil, nil, nil, nil, nil) - } - w.Flush() - return err -} - -func quota() error { - respBody, err := restclient.GetCall(Config.ActiveConfig.Endpoint+"/api/v1/quota/", nil) - if err != nil { - fmt.Fprintf(os.Stderr, "error getting quota: %v\n", err) - return err - } - var respObj interface{} - err = json.Unmarshal(respBody, &respObj) - if err != nil { - return err - } - w := tabwriter.NewWriter(os.Stdout, 0, 0, 3, ' ', 0) - fmt.Fprintf(w, "RESOURCE\tLIMIT\t\n") - for _, item := range respObj.(map[string]interface{})["items"].([]interface{}) { - fmt.Fprintf(w, "-----\t-----\t\n") - hardLimits := item.(map[string]interface{})["status"].(map[string]interface{})["hard"].(map[string]interface{}) - fmt.Fprintf(w, "Memory\t%s\t\n", hardLimits["requests.memory"]) - fmt.Fprintf(w, "CPU\t%s\t\n", hardLimits["requests.cpu"]) - fmt.Fprintf(w, "GPU\t%s\t\n", hardLimits["alpha.kubernetes.io/nvidia-gpu"]) - fmt.Fprintf(w, "MaxParallism\t%s\t\n", hardLimits["pods"]) - } - w.Flush() - return nil -} diff --git a/go/paddlecloud/kill.go b/go/paddlecloud/kill.go deleted file mode 100644 index 7c3eca4c..00000000 --- a/go/paddlecloud/kill.go +++ /dev/null @@ -1,61 +0,0 @@ -package paddlecloud - -import ( - "context" - "encoding/json" - "flag" - "fmt" - "os" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - "github.com/google/subcommands" -) - -// KillCommand do job killings -type KillCommand struct { - rm bool -} - -// Name is subcommands name -func (*KillCommand) Name() string { return "kill" } - -// Synopsis is subcommands synopsis -func (*KillCommand) Synopsis() string { return "Stop the job. -rm will remove the job from history." } - -// Usage is subcommands usage -func (*KillCommand) Usage() string { - return `kill: - Stop the job. -rm will remove the job from history. -` -} - -// SetFlags registers subcommands flags -func (p *KillCommand) SetFlags(f *flag.FlagSet) { - f.BoolVar(&p.rm, "rm", false, "remove the job from history") -} - -// Execute kill command -func (p *KillCommand) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() != 1 { - f.Usage() - return subcommands.ExitFailure - } - - body, err := restclient.DeleteCall(Config.ActiveConfig.Endpoint+"/api/v1/jobs/", []byte("{\"jobname\": \""+f.Arg(0)+"\"}")) - if err != nil { - fmt.Fprintf(os.Stderr, "error kill job: %v\n", err) - return subcommands.ExitFailure - } - var jsonObj interface{} - err = json.Unmarshal(body, &jsonObj) - if err != nil { - fmt.Fprintf(os.Stderr, "error kill job: %v\n", err) - return subcommands.ExitFailure - } - respCode := jsonObj.(map[string]interface{})["code"].(float64) - if respCode != 200 { - fmt.Fprintf(os.Stderr, "error kill job: %s\n", jsonObj.(map[string]interface{})["msg"].(string)) - } - - return subcommands.ExitSuccess -} diff --git a/go/paddlecloud/logs.go b/go/paddlecloud/logs.go deleted file mode 100644 index 526edbae..00000000 --- a/go/paddlecloud/logs.go +++ /dev/null @@ -1,66 +0,0 @@ -package paddlecloud - -import ( - "context" - "encoding/json" - "flag" - "fmt" - "net/url" - "os" - "strconv" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - "github.com/google/subcommands" -) - -// LogsCommand print aggregated job logs -type LogsCommand struct { - n int - w string -} - -// Name is subcommands name -func (*LogsCommand) Name() string { return "logs" } - -// Synopsis is subcommands synopsis -func (*LogsCommand) Synopsis() string { return "Print logs of the job." } - -// Usage is subcommands usage -func (*LogsCommand) Usage() string { - return `logs : - Print logs of the job. - Options: -` -} - -// SetFlags registers subcommands flags -func (p *LogsCommand) SetFlags(f *flag.FlagSet) { - f.IntVar(&p.n, "n", 10, "Number of lines to print from tail.") - f.StringVar(&p.w, "w", "", "Print logs for a single worker.") -} - -// Execute logs command -func (p *LogsCommand) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() != 1 { - f.Usage() - return subcommands.ExitFailure - } - - queryMap := url.Values{} - queryMap.Add("n", strconv.FormatInt(int64(p.n), 10)) - queryMap.Add("w", p.w) - queryMap.Add("jobname", f.Arg(0)) - - respBody, err := restclient.GetCall(Config.ActiveConfig.Endpoint+"/api/v1/logs", queryMap) - if err != nil { - fmt.Fprintf(os.Stderr, "call paddle cloud error %v, %v", err, respBody) - return subcommands.ExitFailure - } - var respObj interface{} - errJSON := json.Unmarshal(respBody, &respObj) - if errJSON != nil { - fmt.Fprintf(os.Stderr, "bad server return: %s", respBody) - } - fmt.Printf("%s\n", respObj.(map[string]interface{})["msg"].(string)) - return subcommands.ExitSuccess -} diff --git a/go/paddlecloud/publish.go b/go/paddlecloud/publish.go deleted file mode 100644 index c7ec0d73..00000000 --- a/go/paddlecloud/publish.go +++ /dev/null @@ -1,57 +0,0 @@ -package paddlecloud - -import ( - "context" - "flag" - "fmt" - "net/url" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - "github.com/google/subcommands" -) - -// PublishCmd used for publish file for download and list published files. -type PublishCmd struct { -} - -// Name is subcommands name. -func (*PublishCmd) Name() string { return "publish" } - -// Synopsis is subcommands synopsis. -func (*PublishCmd) Synopsis() string { - return "publish file for download and list published files." -} - -// Usage is subcommands Usage. -func (*PublishCmd) Usage() string { - return `publish [path] - path must be like /pfs/[datacenter]/home/[username] - if path not specified, will return a list of current published files. -` -} - -// SetFlags registers subcommands flags. -func (p *PublishCmd) SetFlags(f *flag.FlagSet) { -} - -// Execute publish ops. -func (p *PublishCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() > 1 { - f.Usage() - return subcommands.ExitFailure - } - if f.NArg() == 0 { - queries := url.Values{} - ret, err := restclient.GetCall(Config.ActiveConfig.Endpoint+"/api/v1/publish/", queries) - if err != nil { - return subcommands.ExitFailure - } - fmt.Printf("%s\n", ret) - } else if f.NArg() == 1 { - queries := url.Values{} - queries.Set("path", f.Arg(0)) - restclient.PostCall(Config.ActiveConfig.Endpoint+"/api/v1/publish/", []byte("{\"path\": \""+f.Arg(0)+"\"}")) - } - - return subcommands.ExitSuccess -} diff --git a/go/paddlecloud/registry.go b/go/paddlecloud/registry.go deleted file mode 100644 index 04429c49..00000000 --- a/go/paddlecloud/registry.go +++ /dev/null @@ -1,123 +0,0 @@ -package paddlecloud - -import ( - "context" - "encoding/json" - "errors" - "flag" - "fmt" - "os" - "strings" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - "github.com/golang/glog" - "github.com/google/subcommands" -) - -const ( - // RegistryCmdName is subcommand name - RegistryCmdName = "registry" - // RegistryPrefix is the prefix for Kubernetes secret name - RegistryPrefix = "pcloud-registry" -) - -// RegistryCmd is Docker registry secret information -type RegistryCmd struct { - SecretName string `json:"name"` - Username string `json:"username"` - Password string `json:"password"` - Server string `json:"server"` -} - -// Name is the subcommand name -func (r *RegistryCmd) Name() string { return RegistryCmdName } - -// Synopsis is the subcommand's synopsis -func (r *RegistryCmd) Synopsis() string { return "Add registry secret on paddlecloud." } - -// Usage is the subcommand's usage -func (r *RegistryCmd) Usage() string { - return `registry [add|del]: -` -} - -// SetFlags registers subcommands flags. -func (r *RegistryCmd) SetFlags(f *flag.FlagSet) { - f.StringVar(&r.SecretName, "name", "", "registry secret name") - f.StringVar(&r.Username, "username", "", "your Docker registry username") - f.StringVar(&r.Password, "password", "", "your Docker registry password") - f.StringVar(&r.Server, "server", "", "your Docker registry Server") -} -func (r *RegistryCmd) addRegistrySecret() error { - jsonString, err := json.Marshal(r) - if err != nil { - return err - } - glog.V(10).Infof("Add registry secret: %s to %s\n", jsonString, Config.ActiveConfig.Endpoint+"/api/v1/registry/") - respBody, err := restclient.PostCall(Config.ActiveConfig.Endpoint+"/api/v1/registry/", jsonString) - if err != nil { - return err - } - var respObj interface{} - if err = json.Unmarshal(respBody, &respObj); err != nil { - return err - } - // FIXME: Return an error if error message is not empty. Use response code instead - errMsg := respObj.(map[string]interface{})["msg"].(string) - if len(errMsg) > 0 { - return errors.New(errMsg) - } - return nil -} - -// Delete the specify registry -func (r *RegistryCmd) Delete() error { - jsonString, err := json.Marshal(r) - if err != nil { - return err - } - glog.V(10).Infof("Delete registry secret: %s to %s\n", jsonString, Config.ActiveConfig.Endpoint+"/api/v1/registry/") - respBody, err := restclient.DeleteCall(Config.ActiveConfig.Endpoint+"/api/v1/registry/", jsonString) - if err != nil { - return err - } - - var respObj interface{} - if err = json.Unmarshal(respBody, &respObj); err != nil { - return err - } - // FIXME: Return an error if error message is not empty. Use response code instead - errMsg := respObj.(map[string]interface{})["msg"].(string) - if len(errMsg) > 0 { - return errors.New(errMsg) - } - return nil -} - -// Execute runs RegistryCmd command. -func (r *RegistryCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if r.SecretName == "" || r.Username == "" || r.Password == "" || r.Server == "" { - f.Usage() - return subcommands.ExitFailure - } - r.SecretName = strings.Join([]string{RegistryPrefix, r.SecretName}, "-") - err := r.addRegistrySecret() - if err != nil { - fmt.Fprintf(os.Stderr, "add registry secret failed: %s\n", err) - return subcommands.ExitFailure - } - return subcommands.ExitSuccess -} - -// KubeRegistryName add a prefix for the name -func KubeRegistryName(name string) string { - return RegistryPrefix + "-" + name -} - -// RegistryName is registry secret name for PaddleCloud -func RegistryName(name string) string { - if strings.HasPrefix(name, RegistryPrefix) { - return name[len(RegistryPrefix)+1 : len(name)] - } - return "" -} diff --git a/go/paddlecloud/simplefile.go b/go/paddlecloud/simplefile.go deleted file mode 100644 index bf69b99c..00000000 --- a/go/paddlecloud/simplefile.go +++ /dev/null @@ -1,196 +0,0 @@ -package paddlecloud - -import ( - "context" - "encoding/json" - "errors" - "flag" - "fmt" - "io" - "net/url" - "os" - "path" - "path/filepath" - "strings" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - "github.com/google/subcommands" -) - -// SimpleFileCmd define the subcommand of simple file operations. -type SimpleFileCmd struct { -} - -// Name is subcommands name. -func (*SimpleFileCmd) Name() string { return "file" } - -// Synopsis is subcommands synopsis. -func (*SimpleFileCmd) Synopsis() string { return "Simple file operations." } - -// Usage is subcommands Usage. -func (*SimpleFileCmd) Usage() string { - return `file [put|get] or file ls : - dst must be like /pfs/[datacenter]/home/[username] - Options: -` -} - -// SetFlags registers subcommands flags. -func (p *SimpleFileCmd) SetFlags(f *flag.FlagSet) { -} - -// Execute file ops. -func (p *SimpleFileCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() < 1 || f.NArg() > 3 { - f.Usage() - return subcommands.ExitFailure - } - switch f.Arg(0) { - case "put": - err := putFiles(f.Arg(1), f.Arg(2)) - if err != nil { - fmt.Fprintf(os.Stderr, "put file error: %s\n", err) - return subcommands.ExitFailure - } - case "get": - err := getFile(f.Arg(1), f.Arg(2)) - if err != nil { - fmt.Fprintf(os.Stderr, "get file error: %s\n", err) - return subcommands.ExitFailure - } - case "ls": - err := lsFile(f.Arg(1)) - if err != nil { - fmt.Fprintf(os.Stderr, "ls file error: %s\n", err) - return subcommands.ExitFailure - } - default: - f.Usage() - return subcommands.ExitFailure - } - return subcommands.ExitSuccess -} - -func lsFile(dst string) error { - query := url.Values{} - query.Set("path", dst) - query.Set("dc", Config.ActiveConfig.Name) - respStr, err := restclient.GetCall(Config.ActiveConfig.Endpoint+"/api/v1/filelist/", query) - if err != nil { - return err - } - var respObj interface{} - if err = json.Unmarshal(respStr, &respObj); err != nil { - return err - } - // FIXME: Print an error if error message is not empty. Use response code instead - errMsg := respObj.(map[string]interface{})["msg"].(string) - if len(errMsg) > 0 { - return errors.New("list file error: " + errMsg) - } - items := respObj.(map[string]interface{})["items"].([]interface{}) - for _, fn := range items { - fmt.Println(fn.(string)) - } - return nil -} - -func putFiles(src string, dest string) error { - f, err := os.Stat(src) - if err != nil { - return err - } - if strings.HasPrefix(src, "..") { - return errors.New("src path should be inside your submiting path") - } - switch mode := f.Mode(); { - case mode.IsDir(): - if err := filepath.Walk(src, func(path string, info os.FileInfo, err error) error { - if info.Mode().IsRegular() { - srcs := strings.Split(filepath.Clean(src), string(os.PathSeparator)) - paths := strings.Split(path, string(os.PathSeparator)) - var destFile string - if strings.HasSuffix(src, "/") { - destFile = filepath.Join(dest, strings.Join(paths[len(srcs):len(paths)], string(os.PathSeparator))) - } else { - destFile = filepath.Join(dest, strings.Join(paths[len(srcs)-1:len(paths)], string(os.PathSeparator))) - } - putFile(path, destFile) - } - return nil - }); err != nil { - return err - } - - case mode.IsRegular(): - _, f := filepath.Split(src) - return putFile(src, filepath.Join(dest, f)) - } - return nil -} - -func putFile(src string, dest string) error { - fmt.Printf("Uploading ... %s %s\n", src, dest) - query := url.Values{} - _, srcFile := path.Split(src) - destDir, destFile := path.Split(dest) - var destFullPath string - if len(destFile) == 0 { - destFullPath = path.Join(destDir, srcFile) - } else { - destFullPath = dest - } - query.Set("path", destFullPath) - respStr, err := restclient.PostFile(Config.ActiveConfig.Endpoint+"/api/v1/file/", src, query) - if err != nil { - return err - } - var respObj interface{} - if err = json.Unmarshal(respStr, &respObj); err != nil { - return err - } - // FIXME: Print an error if error message is not empty. Use response code instead - errMsg := respObj.(map[string]interface{})["msg"].(string) - if len(errMsg) > 0 { - fmt.Fprintf(os.Stderr, "upload file error: %s\n", errMsg) - } - return nil -} - -func getFile(src string, dest string) error { - query := url.Values{} - query.Set("path", src) - req, err := restclient.MakeRequestToken(Config.ActiveConfig.Endpoint+"/api/v1/file/", "GET", nil, "", query) - if err != nil { - return err - } - resp, err := restclient.HTTPClient.Do(req) - if err != nil { - return err - } - defer resp.Body.Close() - if resp.Status != restclient.HTTPOK { - return errors.New("server error: " + resp.Status) - } - _, srcFile := path.Split(src) - destDir, destFile := path.Split(dest) - var destFullPath string - if len(destFile) == 0 { - destFullPath = path.Join(destDir, srcFile) - } else { - destFullPath = dest - } - if _, err = os.Stat(destFullPath); err == nil { - return errors.New("file already exist: " + destFullPath) - } - out, err := os.Create(destFullPath) - if err != nil { - return err - } - defer out.Close() - _, err = io.Copy(out, resp.Body) - if err != nil { - return err - } - return nil -} diff --git a/go/paddlecloud/submit.go b/go/paddlecloud/submit.go deleted file mode 100644 index 36f19c57..00000000 --- a/go/paddlecloud/submit.go +++ /dev/null @@ -1,166 +0,0 @@ -package paddlecloud - -import ( - "context" - "encoding/json" - "errors" - "flag" - "fmt" - "os" - "path" - "strings" - - "github.com/PaddlePaddle/cloud/go/utils/config" - "github.com/PaddlePaddle/cloud/go/utils/restclient" - "github.com/golang/glog" - "github.com/google/subcommands" -) - -const ( - invalidJobName = "jobname can not contain '.' or '_'" -) - -// Config is global config object for paddlecloud commandline -var Config *config.SubmitConfig - -// SubmitCmd define the subcommand of submitting paddle training jobs. -type SubmitCmd struct { - Jobname string `json:"name"` - Jobpackage string `json:"jobPackage"` - Parallelism int `json:"parallelism"` - CPU int `json:"cpu"` - GPU int `json:"gpu"` - Memory string `json:"memory"` - Pservers int `json:"pservers"` - PSCPU int `json:"pscpu"` - PSMemory string `json:"psmemory"` - Entry string `json:"entry"` - Topology string `json:"topology"` - Datacenter string `json:"datacenter"` - Passes int `json:"passes"` - // docker image to run jobs - Image string `json:"image"` - Registry string `json:"registry"` - // Alpha features: - // TODO: separate API versions - FaultTolerant bool `json:"faulttolerant"` - MaxInstance int `json:"maxInstance"` - MinInstance int `json:"minInstance"` -} - -// Name is subcommands name. -func (*SubmitCmd) Name() string { return "submit" } - -// Synopsis is subcommands synopsis. -func (*SubmitCmd) Synopsis() string { return "Submit job to PaddlePaddle Cloud." } - -// Usage is subcommands Usage. -func (*SubmitCmd) Usage() string { - return `submit [options] : - Submit job to PaddlePaddle Cloud. - Options: -` -} - -// SetFlags registers subcommands flags. -func (p *SubmitCmd) SetFlags(f *flag.FlagSet) { - f.StringVar(&p.Jobname, "jobname", "paddle-cluster-job", "Cluster job name.") - f.IntVar(&p.Parallelism, "parallelism", 1, "Number of parrallel trainers. Defaults to 1.") - f.IntVar(&p.CPU, "cpu", 1, "CPU resource each trainer will use. Defaults to 1.") - f.IntVar(&p.GPU, "gpu", 0, "GPU resource each trainer will use. Defaults to 0.") - f.StringVar(&p.Memory, "memory", "1Gi", " Memory resource each trainer will use. Defaults to 1Gi.") - f.IntVar(&p.Pservers, "pservers", 0, "Number of parameter servers. Defaults equal to -p") - f.IntVar(&p.PSCPU, "pscpu", 1, "Parameter server CPU resource. Defaults to 1.") - f.StringVar(&p.PSMemory, "psmemory", "1Gi", "Parameter server momory resource. Defaults to 1Gi.") - f.StringVar(&p.Entry, "entry", "", "Command of starting trainer process. Defaults to paddle train") - f.StringVar(&p.Topology, "topology", "", "Will Be Deprecated .py file contains paddle v1 job configs") - f.IntVar(&p.Passes, "passes", 1, "Pass count for training job") - f.StringVar(&p.Image, "image", "", "Runtime Docker image for the job") - f.StringVar(&p.Registry, "registry", "", "Registry secret name for the runtime Docker image") - f.IntVar(&p.MinInstance, "min_instance", 1, "The minimum number of trainers"+ - "only used fo faulttolerant. Default to 1.") - f.IntVar(&p.MaxInstance, "max_instance", 1, "The minimum number of trainers,"+ - "only used for faulttolerant, Default to 1.") - f.BoolVar(&p.FaultTolerant, "faulttolerant", false, "if true, use new fault-tolerant pservers") -} - -// Execute submit command. -func (p *SubmitCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() != 1 { - f.Usage() - return subcommands.ExitFailure - } - // default pservers count equals to trainers count. - if p.Pservers == 0 { - p.Pservers = p.Parallelism - } - p.Jobpackage = f.Arg(0) - p.Datacenter = Config.ActiveConfig.Name - - s := NewSubmitter(p) - errS := s.Submit(f.Arg(0), p.Jobname) - if errS != nil { - fmt.Fprintf(os.Stderr, "error submiting job: %v\n", errS) - return subcommands.ExitFailure - } - fmt.Printf("%s submited.\n", p.Jobname) - return subcommands.ExitSuccess -} - -// Submitter submit job to cloud. -type Submitter struct { - args *SubmitCmd -} - -// NewSubmitter returns a submitter object. -func NewSubmitter(cmd *SubmitCmd) *Submitter { - s := Submitter{cmd} - return &s -} - -// Submit current job. -func (s *Submitter) Submit(jobPackage string, jobName string) error { - if err := checkJobName(jobName); err != nil { - return err - } - // if jobPackage is not a local dir, skip uploading package. - _, pkgerr := os.Stat(jobPackage) - if pkgerr == nil { - dest := path.Join("/pfs", Config.ActiveConfig.Name, "home", Config.ActiveConfig.Username, "jobs", jobName) - if !strings.HasSuffix(jobPackage, "/") { - jobPackage = jobPackage + "/" - } - err := putFiles(jobPackage, dest) - if err != nil { - return err - } - } else if os.IsNotExist(pkgerr) { - glog.Warning("jobpackage not a local dir, skip upload.") - } - // 2. call paddlecloud server to create kubernetes job - jsonString, err := json.Marshal(s.args) - if err != nil { - return err - } - glog.V(10).Infof("Submitting job: %s to %s\n", jsonString, Config.ActiveConfig.Endpoint+"/api/v1/jobs") - respBody, err := restclient.PostCall(Config.ActiveConfig.Endpoint+"/api/v1/jobs/", jsonString) - if err != nil { - return err - } - var respObj interface{} - if err = json.Unmarshal(respBody, &respObj); err != nil { - return err - } - // FIXME: Return an error if error message is not empty. Use response code instead - errMsg := respObj.(map[string]interface{})["msg"].(string) - if len(errMsg) > 0 { - return errors.New(errMsg) - } - return nil -} -func checkJobName(jobName string) error { - if strings.Contains(jobName, "_") || strings.Contains(jobName, ".") { - return errors.New(invalidJobName) - } - return nil -} diff --git a/go/paddlectl/simplefile.go b/go/paddlectl/simplefile.go deleted file mode 100644 index 3258b0f6..00000000 --- a/go/paddlectl/simplefile.go +++ /dev/null @@ -1,198 +0,0 @@ -package paddlectl - -import ( - "context" - "encoding/json" - "errors" - "flag" - "fmt" - "io" - "net/url" - "os" - "path" - "path/filepath" - "strings" - - "github.com/PaddlePaddle/cloud/go/utils/restclient" - "github.com/google/subcommands" -) - -// TODO(gongwb): rm simplefile.go under paddlecloud/ - -// SimpleFileCmd define the subcommand of simple file operations. -type SimpleFileCmd struct { -} - -// Name is subcommands name. -func (*SimpleFileCmd) Name() string { return "file" } - -// Synopsis is subcommands synopsis. -func (*SimpleFileCmd) Synopsis() string { return "Simple file operations." } - -// Usage is subcommands Usage. -func (*SimpleFileCmd) Usage() string { - return `file [put|get] or file ls : - dst must be like /pfs/[datacenter]/home/[username] - Options: -` -} - -// SetFlags registers subcommands flags. -func (p *SimpleFileCmd) SetFlags(f *flag.FlagSet) { -} - -// Execute file ops. -func (p *SimpleFileCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() < 1 || f.NArg() > 3 { - f.Usage() - return subcommands.ExitFailure - } - switch f.Arg(0) { - case "put": - err := putFiles(f.Arg(1), f.Arg(2)) - if err != nil { - fmt.Fprintf(os.Stderr, "put file error: %s\n", err) - return subcommands.ExitFailure - } - case "get": - err := getFile(f.Arg(1), f.Arg(2)) - if err != nil { - fmt.Fprintf(os.Stderr, "get file error: %s\n", err) - return subcommands.ExitFailure - } - case "ls": - err := lsFile(f.Arg(1)) - if err != nil { - fmt.Fprintf(os.Stderr, "ls file error: %s\n", err) - return subcommands.ExitFailure - } - default: - f.Usage() - return subcommands.ExitFailure - } - return subcommands.ExitSuccess -} - -func lsFile(dst string) error { - query := url.Values{} - query.Set("path", dst) - query.Set("dc", Config.ActiveConfig.Name) - respStr, err := restclient.GetCall(Config.ActiveConfig.Endpoint+"/api/v1/filelist/", query) - if err != nil { - return err - } - var respObj interface{} - if err = json.Unmarshal(respStr, &respObj); err != nil { - return err - } - // FIXME: Print an error if error message is not empty. Use response code instead - errMsg := respObj.(map[string]interface{})["msg"].(string) - if len(errMsg) > 0 { - return errors.New("list file error: " + errMsg) - } - items := respObj.(map[string]interface{})["items"].([]interface{}) - for _, fn := range items { - fmt.Println(fn.(string)) - } - return nil -} - -func putFiles(src string, dest string) error { - f, err := os.Stat(src) - if err != nil { - return err - } - if strings.HasPrefix(src, "..") { - return errors.New("src path should be inside your submiting path") - } - switch mode := f.Mode(); { - case mode.IsDir(): - if err := filepath.Walk(src, func(path string, info os.FileInfo, err error) error { - if info.Mode().IsRegular() { - srcs := strings.Split(filepath.Clean(src), string(os.PathSeparator)) - paths := strings.Split(path, string(os.PathSeparator)) - var destFile string - if strings.HasSuffix(src, "/") { - destFile = filepath.Join(dest, strings.Join(paths[len(srcs):len(paths)], string(os.PathSeparator))) - } else { - destFile = filepath.Join(dest, strings.Join(paths[len(srcs)-1:len(paths)], string(os.PathSeparator))) - } - putFile(path, destFile) - } - return nil - }); err != nil { - return err - } - - case mode.IsRegular(): - _, f := filepath.Split(src) - return putFile(src, filepath.Join(dest, f)) - } - return nil -} - -func putFile(src string, dest string) error { - fmt.Printf("Uploading ... %s %s\n", src, dest) - query := url.Values{} - _, srcFile := path.Split(src) - destDir, destFile := path.Split(dest) - var destFullPath string - if len(destFile) == 0 { - destFullPath = path.Join(destDir, srcFile) - } else { - destFullPath = dest - } - query.Set("path", destFullPath) - respStr, err := restclient.PostFile(Config.ActiveConfig.Endpoint+"/api/v1/file/", src, query) - if err != nil { - return err - } - var respObj interface{} - if err = json.Unmarshal(respStr, &respObj); err != nil { - return err - } - // FIXME: Print an error if error message is not empty. Use response code instead - errMsg := respObj.(map[string]interface{})["msg"].(string) - if len(errMsg) > 0 { - fmt.Fprintf(os.Stderr, "upload file error: %s\n", errMsg) - } - return nil -} - -func getFile(src string, dest string) error { - query := url.Values{} - query.Set("path", src) - req, err := restclient.MakeRequestToken(Config.ActiveConfig.Endpoint+"/api/v1/file/", "GET", nil, "", query) - if err != nil { - return err - } - resp, err := restclient.HTTPClient.Do(req) - if err != nil { - return err - } - defer resp.Body.Close() - if resp.Status != restclient.HTTPOK { - return errors.New("server error: " + resp.Status) - } - _, srcFile := path.Split(src) - destDir, destFile := path.Split(dest) - var destFullPath string - if len(destFile) == 0 { - destFullPath = path.Join(destDir, srcFile) - } else { - destFullPath = dest - } - if _, err = os.Stat(destFullPath); err == nil { - return errors.New("file already exist: " + destFullPath) - } - out, err := os.Create(destFullPath) - if err != nil { - return err - } - defer out.Close() - _, err = io.Copy(out, resp.Body) - if err != nil { - return err - } - return nil -} diff --git a/go/paddlectl/submit.go b/go/paddlectl/submit.go deleted file mode 100644 index 9cda26f2..00000000 --- a/go/paddlectl/submit.go +++ /dev/null @@ -1,196 +0,0 @@ -package paddlectl - -import ( - "context" - "encoding/json" - "errors" - "flag" - "fmt" - "os" - "path" - "strings" - - "github.com/PaddlePaddle/cloud/go/utils/config" - "github.com/PaddlePaddle/cloud/go/utils/restclient" - "github.com/golang/glog" - "github.com/google/subcommands" -) - -const ( - invalidJobName = "jobname can not contain '.' or '_'" - trainingjobsPath = "/api/v1/trainingjobs/" -) - -// Config is global config object for paddlectl commandline -var Config *config.SubmitConfig - -// SubmitCmd define the subcommand of submitting paddle training jobs. -type SubmitCmd struct { - Jobname string `json:"name"` - Jobpackage string `json:"jobPackage"` - CPU int `json:"cpu"` - GPU int `json:"gpu"` - Memory string `json:"memory"` - Pservers int `json:"pservers"` - PSCPU int `json:"pscpu"` - PSMemory string `json:"psmemory"` - Entry string `json:"entry"` - Topology string `json:"topology"` - Datacenter string `json:"datacenter"` - Passes int `json:"passes"` - - // docker image to run jobs - Image string `json:"image"` - Registry string `json:"registry"` - - // Alpha features: - // TODO: separate API versions - FaultTolerant bool `json:"faulttolerant"` - MaxInstance int `json:"maxInstance"` - MinInstance int `json:"minInstance"` - - // TODO(gongwb): create from yaml. -} - -// Name is subcommands name. -func (*SubmitCmd) Name() string { return "submit" } - -// Synopsis is subcommands synopsis. -func (*SubmitCmd) Synopsis() string { return "Submit job to PaddlePaddle Cloud." } - -// Usage is subcommands Usage. -func (*SubmitCmd) Usage() string { - return `submit [options] : - Submit job to PaddlePaddle Cloud. - Options: -` -} - -// SetFlags registers subcommands flags. -func (p *SubmitCmd) SetFlags(f *flag.FlagSet) { - f.StringVar(&p.Jobname, "jobname", "paddle-cluster-job", "Cluster job name.") - f.IntVar(&p.CPU, "cpu", 1, "CPU resource each trainer will use. Defaults to 1.") - f.IntVar(&p.GPU, "gpu", 0, "GPU resource each trainer will use. Defaults to 0.") - f.StringVar(&p.Memory, "memory", "1Gi", " Memory resource each trainer will use. Defaults to 1Gi.") - f.IntVar(&p.Pservers, "pservers", 1, "Number of parameter servers. Defaults equal to -p") - f.IntVar(&p.PSCPU, "pscpu", 1, "Parameter server CPU resource. Defaults to 1.") - f.StringVar(&p.PSMemory, "psmemory", "1Gi", "Parameter server momory resource. Defaults to 1Gi.") - f.StringVar(&p.Entry, "entry", "", "Command of starting trainer process. Defaults to paddle train") - f.StringVar(&p.Topology, "topology", "", "Will Be Deprecated .py file contains paddle v1 job configs") - f.IntVar(&p.Passes, "passes", 1, "Pass count for training job") - f.StringVar(&p.Image, "image", "paddlepaddle/paddlecloud-job", "Runtime Docker image for the job") - f.StringVar(&p.Registry, "registry", "", "Registry secret name for the runtime Docker image") - f.IntVar(&p.MinInstance, "min_instance", 1, "The minimum number of trainers"+ - "only used fo faulttolerant. Default to 1.") - f.IntVar(&p.MaxInstance, "max_instance", 1, "The minimum number of trainers,"+ - "only used for faulttolerant, Default to 1.") - f.BoolVar(&p.FaultTolerant, "faulttolerant", false, "if true, use new fault-tolerant pservers") -} - -// Execute submit command. -func (p *SubmitCmd) Execute(_ context.Context, f *flag.FlagSet, _ ...interface{}) subcommands.ExitStatus { - if f.NArg() != 1 { - f.Usage() - return subcommands.ExitFailure - } - - p.Jobpackage = f.Arg(0) - p.Datacenter = Config.ActiveConfig.Name - - s := NewSubmitter(p) - if err := s.Submit(f.Arg(0), p.Jobname); err != nil { - fmt.Fprintf(os.Stderr, "error submiting job: %v\n", err) - return subcommands.ExitFailure - } - - fmt.Printf("%s submited.\n", p.Jobname) - return subcommands.ExitSuccess -} - -// Submitter submit job to cloud. -type Submitter struct { - args *SubmitCmd -} - -// NewSubmitter returns a submitter object. -func NewSubmitter(cmd *SubmitCmd) *Submitter { - s := Submitter{cmd} - return &s -} - -func getJobPfsPath(jobPackage, jobName string) string { - _, err := os.Stat(jobPackage) - if os.IsNotExist(err) { - return jobPackage - } - - return path.Join("/pfs", Config.ActiveConfig.Name, "home", Config.ActiveConfig.Username, "jobs", jobName) -} - -// putFiles puts files to pfs and -// if jobPackage is not a local dir, skip uploading package. -func putFilesToPfs(jobPackage, jobName string) error { - _, pkgerr := os.Stat(jobPackage) - if pkgerr == nil { - dest := getJobPfsPath(jobPackage, jobName) - if !strings.HasSuffix(jobPackage, "/") { - jobPackage = jobPackage + "/" - } - err := putFiles(jobPackage, dest) - if err != nil { - return err - } - } else if os.IsNotExist(pkgerr) { - glog.Warning("jobpackage not a local dir, skip upload.") - } - - return nil -} - -func (s *Submitter) createJobs() error { - jsonString, err := json.Marshal(s.args) - if err != nil { - return err - } - - apiPath := Config.ActiveConfig.Endpoint + trainingjobsPath - respBody, err := restclient.PostCall(apiPath, jsonString) - if err != nil { - return err - } - - var respObj map[string]string - if err = json.Unmarshal(respBody, &respObj); err != nil { - return err - } - - // FIXME: Return an error if error message is not empty. Use response code instead. - errMsg := respObj["msg"] - if len(errMsg) > 0 { - return errors.New(errMsg) - } - - glog.Infof("Submitting job: %s\n", s.args.Jobname) - return nil -} - -// Submit current job. -func (s *Submitter) Submit(jobPackage string, jobName string) error { - if err := checkJobName(jobName); err != nil { - return err - } - - if err := putFilesToPfs(jobPackage, jobName); err != nil { - return err - } - - return s.createJobs() -} - -func checkJobName(jobName string) error { - if strings.Contains(jobName, "_") || strings.Contains(jobName, ".") { - return errors.New(invalidJobName) - } - - return nil -} diff --git a/go/scripts/custom-boilerplate.go.txt b/go/scripts/custom-boilerplate.go.txt deleted file mode 100644 index ff3d883c..00000000 --- a/go/scripts/custom-boilerplate.go.txt +++ /dev/null @@ -1,15 +0,0 @@ -/* -Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - -http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -*/ \ No newline at end of file diff --git a/go/scripts/update-codegen.sh b/go/scripts/update-codegen.sh deleted file mode 100755 index f9c4959d..00000000 --- a/go/scripts/update-codegen.sh +++ /dev/null @@ -1,42 +0,0 @@ -#!/bin/bash - -# Copyright 2017 The Kubernetes Authors. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -# This shell is used to auto generate some useful tools for k8s, such as lister, -# informer, deepcopy, defaulter and so on. - -set -o errexit -set -o nounset -set -o pipefail - -SCRIPT_ROOT=$(dirname ${BASH_SOURCE})/.. -echo ${SCRIPT_ROOT} -CODEGEN_PKG=${CODEGEN_PKG:-$(cd ${SCRIPT_ROOT}; ls -d -1 ../vendor/k8s.io/code-generator 2>/dev/null || echo ../code-generator)} -echo ${CODEGEN_PKG} - -# generate the code with: -# --output-base because this script should also be able to run inside the vendor dir of -# k8s.io/kubernetes. The output-base is needed for the generators to output into the vendor dir -# instead of the $GOPATH directly. For normal projects this can be dropped. -${CODEGEN_PKG}/generate-groups.sh "deepcopy,client,informer,lister" \ - github.com/PaddlePaddle/cloud/go/client github.com/PaddlePaddle/cloud/go/apis \ - paddlepaddle:v1 \ - --go-header-file ${SCRIPT_ROOT}/scripts/custom-boilerplate.go.txt - -grep "github.com/paddlepaddle/cloud" -nR client | awk -F ':' '{print $1}' | \ - xargs sed -i "" 's|github.com/paddlepaddle/cloud|github.com/PaddlePaddle/cloud|g' - -## format codes -gofmt -w client diff --git a/go/scripts/verify-codegen.sh b/go/scripts/verify-codegen.sh deleted file mode 100755 index 24e78d19..00000000 --- a/go/scripts/verify-codegen.sh +++ /dev/null @@ -1,48 +0,0 @@ -#!/bin/bash - -# Copyright 2017 The Kubernetes Authors. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -set -o errexit -set -o nounset -set -o pipefail - -SCRIPT_ROOT=$(dirname "${BASH_SOURCE}")/.. - -DIFFROOT="${SCRIPT_ROOT}/../go/client" -TMP_DIFFROOT="${SCRIPT_ROOT}/../_tmp/go/client" -_tmp="${SCRIPT_ROOT}/../_tmp" - -cleanup() { - rm -rf "${_tmp}" -} -trap "cleanup" EXIT SIGINT - -cleanup - -mkdir -p "${TMP_DIFFROOT}" -cp -a "${DIFFROOT}"/* "${TMP_DIFFROOT}" - -"${SCRIPT_ROOT}/scripts/update-codegen.sh" -echo "diffing ${DIFFROOT} against freshly generated codegen" -ret=0 -diff -Naupr "${DIFFROOT}" "${TMP_DIFFROOT}" || ret=$? -cp -a "${TMP_DIFFROOT}"/* "${DIFFROOT}" -if [[ $ret -eq 0 ]] -then - echo "${DIFFROOT} up to date." -else - echo "${DIFFROOT} is out of date. Please run scripts/update-codegen.sh" - exit 1 -fi diff --git a/go/updater/trainingJobUpdater.go b/go/updater/trainingJobUpdater.go deleted file mode 100644 index dd2a5d4f..00000000 --- a/go/updater/trainingJobUpdater.go +++ /dev/null @@ -1,81 +0,0 @@ -package updater - -import ( - padv1 "github.com/PaddlePaddle/cloud/go/apis/paddlepaddle/v1" - trainingJobClient "github.com/PaddlePaddle/cloud/go/client/clientset/versioned" - log "github.com/golang/glog" - "k8s.io/client-go/kubernetes" - "time" -) - -const ( - retryTimes = 5 - convertedTimerTicker = 10 * time.Second - confirmResourceTicker = 5 * time.Second -) - -type trainingJobEventType string - -const ( - trainingJobEventDelete trainingJobEventType = "Delete" - trainingJobEventModify trainingJobEventType = "Modify" -) - -type trainingJobEvent struct { - // pet is the TrainingJobEventType of TrainingJob - pet trainingJobEventType - // The job transfer the information fo job - job *padv1.TrainingJob -} - -// TrainingJobUpdater is used to manage a specific TrainingJob -type TrainingJobUpdater struct { - // Job is the job the TrainingJob manager. - job *padv1.TrainingJob - - // kubeClient is standard kubernetes client. - kubeClient kubernetes.Interface - - // TrainingJobClient is the client of TrainingJob. - trainingJobClient trainingJobClient.Interface - - // Status is the status in memory, update when TrainingJob status changed and update the CRD resource status. - status padv1.TrainingJobStatus - - // EventCh receives events from the controller, include Modify and Delete. - // When trainingJobEvent is Delete it will delete all resources - // The capacity is 1000. - eventCh chan *trainingJobEvent -} - -func initUpdater(job *padv1.TrainingJob, kubeClient kubernetes.Interface, trainingJobClient trainingJobClient.Interface) (*TrainingJobUpdater, - error) { - jobber := &TrainingJobUpdater{ - job: job, - kubeClient: kubeClient, - trainingJobClient: trainingJobClient, - status: job.Status, - eventCh: make(chan *trainingJobEvent, 1000), - } - return jobber, nil -} - -// NewUpdater return a trainingJobUpdater for controller. -func NewUpdater(job *padv1.TrainingJob, kubeClient kubernetes.Interface, trainingJobClient trainingJobClient.Interface) (*TrainingJobUpdater, - error) { - log.Infof("NewJobber namespace=%v name=%v", job.Namespace, job.Name) - jobber, err := initUpdater(job, kubeClient, trainingJobClient) - if err != nil { - return nil, err - } - - go jobber.start() - return jobber, nil -} - -// Start is the main process of life cycle of a TrainingJob, including create resources, event process handle and -// status convert. -func (updater *TrainingJobUpdater) start() { - // TODO(zhengqi): this will commit in the next pr - -} diff --git a/go/utils/config/config.go b/go/utils/config/config.go deleted file mode 100644 index fb3142dd..00000000 --- a/go/utils/config/config.go +++ /dev/null @@ -1,84 +0,0 @@ -package config - -import ( - "io/ioutil" - "net/url" - "path/filepath" - "regexp" - - "github.com/PaddlePaddle/cloud/go/utils/pathutil" - "github.com/golang/glog" - - yaml "gopkg.in/yaml.v2" -) - -// SubmitConfigDataCenter is inner conf for paddlecloud -type SubmitConfigDataCenter struct { - Name string `yaml:"name"` - Username string `yaml:"username"` - Password string `yaml:"password"` - Usercert string `yaml:"usercert"` - Userkey string `yaml:"userkey"` - Endpoint string `yaml:"endpoint"` -} - -// SubmitConfig is configuration load from user config yaml files -type SubmitConfig struct { - DC []SubmitConfigDataCenter `yaml:"datacenters"` - ActiveConfig *SubmitConfigDataCenter - CurrentDatacenter string `yaml:"current-datacenter"` -} - -// DefaultConfigFile returns the path of paddlecloud default config file path -func DefaultConfigFile() string { - return filepath.Join(pathutil.UserHomeDir(), ".paddle", "config") -} - -// ParseDefaultConfig returns default parsed config struct in ~/.paddle/config -func ParseDefaultConfig() *SubmitConfig { - return ParseConfig(DefaultConfigFile()) -} - -func isValidURL(toTest string) bool { - _, err := url.ParseRequestURI(toTest) - if err != nil { - return false - } - - return true -} - -// ParseConfig parse paddlecloud config to a struct -func ParseConfig(configFile string) *SubmitConfig { - // ------------------- load paddle config ------------------- - buf, err := ioutil.ReadFile(configFile) - config := SubmitConfig{} - if err == nil { - yamlErr := yaml.Unmarshal(buf, &config) - if yamlErr != nil { - glog.Errorf("load config %s error: %v\n", configFile, yamlErr) - return nil - } - - var re = regexp.MustCompile(`(/|\\)*$`) - for _, t := range config.DC { - if !isValidURL(t.Endpoint) { - glog.Errorf("DC:%v Endpoint:%v is not a valid URL\n", config.DC, t.Endpoint) - return nil - } - t.Endpoint = re.ReplaceAllString(t.Endpoint, "") - } - - // put active config - config.ActiveConfig = nil - for _, item := range config.DC { - if item.Name == config.CurrentDatacenter { - config.ActiveConfig = &item - break - } - } - return &config - } - glog.Errorf("config %s error: %v\n", configFile, err) - return nil -} diff --git a/go/utils/config/config_test.go b/go/utils/config/config_test.go deleted file mode 100644 index cd501505..00000000 --- a/go/utils/config/config_test.go +++ /dev/null @@ -1,70 +0,0 @@ -package config - -import ( - "io/ioutil" - "os" - "strconv" - "testing" -) - -func TestConfigParse(t *testing.T) { - port := 8000 - sampleConfig := `current-datacenter: dc1 -datacenters: -- name: dc1 - username: testuser - password: 123123 - endpoint: http://127.0.0.1:` + strconv.Itoa(port) + ` -- name: dc2 - username: testuser2 - password: 123123 - endpoint: http://abc.com:8448` - - tmpfile, err := ioutil.TempFile("", "config") - if err != nil { - t.Fatal(err) - } - defer os.Remove(tmpfile.Name()) // clean up temp file - if _, err := tmpfile.Write([]byte(sampleConfig)); err != nil { - t.Fatal(err) - } - if err := tmpfile.Close(); err != nil { - t.Fatal(err) - } - tempconfig := ParseConfig(tmpfile.Name()) - if tempconfig.ActiveConfig.Endpoint != "http://127.0.0.1:"+strconv.Itoa(port) { - t.Error("config parse error") - } -} - -func TestErrorConfigParse(t *testing.T) { - sampleErrorConfig := `current-datacenter: dc2 -datacenters: -- name: dc1 - username:,, testuser - password123123 - endpoint: http://cloud.paddlepaddle.org` - - tmpfile, err := ioutil.TempFile("", "config") - if err != nil { - t.Fatal(err) - } - defer os.Remove(tmpfile.Name()) // clean up temp file - if _, err := tmpfile.Write([]byte(sampleErrorConfig)); err != nil { - t.Fatal(err) - } - if err := tmpfile.Close(); err != nil { - t.Fatal(err) - } - tempconfig := ParseConfig(tmpfile.Name()) - if tempconfig != nil { - t.Error("config error not return nil") - } -} - -func TestNonExistFile(t *testing.T) { - tempconfig := ParseConfig("/path/to/non/exist/file") - if tempconfig != nil { - t.Error("non exist file should return nil") - } -} diff --git a/go/utils/kubeutil/kubeutil.go b/go/utils/kubeutil/kubeutil.go deleted file mode 100644 index 50f950de..00000000 --- a/go/utils/kubeutil/kubeutil.go +++ /dev/null @@ -1,114 +0,0 @@ -package kubeutil - -import ( - "fmt" - "os" - "strings" - - edlresource "github.com/PaddlePaddle/cloud/go/edl/resource" - "k8s.io/api/core/v1" - "k8s.io/api/extensions/v1beta1" - "k8s.io/apimachinery/pkg/api/errors" - metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" - "k8s.io/client-go/kubernetes" - "k8s.io/client-go/rest" - "k8s.io/client-go/tools/clientcmd" -) - -func buildConfig(kubeconfig string) (*rest.Config, error) { - return clientcmd.BuildConfigFromFlags("", kubeconfig) -} - -// CreateClient creates ClientSet and rest.RESTClient used by client. -func CreateClient(kubeconfig string) (*rest.RESTClient, *kubernetes.Clientset, error) { - config, err := buildConfig(kubeconfig) - if err != nil { - return nil, nil, fmt.Errorf("init from config '%s' error: %v", kubeconfig, err) - } - - clientset, err := kubernetes.NewForConfig(config) - if err != nil { - return nil, nil, fmt.Errorf("create clientset from config '%s' error: %v", kubeconfig, err) - } - - edlresource.RegisterResource(config, &edlresource.TrainingJob{}, &edlresource.TrainingJobList{}) - - client, err := rest.RESTClientFor(config) - if err != nil { - return nil, nil, fmt.Errorf("create rest client from config '%s' error: %v", kubeconfig, err) - } - - return client, clientset, nil -} - -// FindNamespace finds whether a namespace exists. -func FindNamespace(clientset *kubernetes.Clientset, namespace string) error { - n := v1.Namespace{} - n.SetName(namespace) - - if _, err := clientset.CoreV1().Namespaces().Get(namespace, metav1.GetOptions{}); err != nil { - return fmt.Errorf("get namespace '%s' error:%v", namespace, err) - } - - return nil -} - -// EnsureTPR ensure a TPR should exists and create it if not. -func EnsureTPR(clientset *kubernetes.Clientset, resourceName, apiversion string) error { - tpr, err := clientset.ExtensionsV1beta1().ThirdPartyResources().Get(resourceName, metav1.GetOptions{}) - if err != nil { - if errors.IsNotFound(err) { - tpr := &v1beta1.ThirdPartyResource{ - TypeMeta: metav1.TypeMeta{ - Kind: "ThirdPartyResource", - APIVersion: "extensions/v1beta1", - }, - - ObjectMeta: metav1.ObjectMeta{ - Name: resourceName, - }, - - Versions: []v1beta1.APIVersion{ - {Name: apiversion}, - }, - Description: "PaddlePaddle TrainingJob operator", - } - - _, err := clientset.ExtensionsV1beta1().ThirdPartyResources().Create(tpr) - if err != nil { - return err - } - } else { - return err - } - } else { - fmt.Printf("SKIPPING: already exists %#v\n", tpr) - } - - return nil -} - -// CreateTrainingJob try to create a training-job under namespace. -func CreateTrainingJob(restClient *rest.RESTClient, namespace string, job *edlresource.TrainingJob) error { - var result edlresource.TrainingJob - err := restClient.Post(). - Resource("trainingjobs"). - Namespace(namespace). - Body(job). - Do().Into(&result) - - if err != nil { - fmt.Fprintf(os.Stderr, "can't create TPR extenion TrainningJob: %s\n", job) - return err - } - - return nil -} - -// NameEscape replace characters not supported by Kubernetes. -func NameEscape(name string) string { - name = strings.Replace(name, "@", "-", -1) - name = strings.Replace(name, ".", "-", -1) - name = strings.Replace(name, "_", "-", -1) - return name -} diff --git a/go/utils/pathutil/pathutil.go b/go/utils/pathutil/pathutil.go deleted file mode 100644 index f0652b01..00000000 --- a/go/utils/pathutil/pathutil.go +++ /dev/null @@ -1,18 +0,0 @@ -package pathutil - -import ( - "os" - "runtime" -) - -// UserHomeDir get user home dierctory on different platforms -func UserHomeDir() string { - if runtime.GOOS == "windows" { - home := os.Getenv("HOMEDRIVE") + os.Getenv("HOMEPATH") - if home == "" { - home = os.Getenv("USERPROFILE") - } - return home - } - return os.Getenv("HOME") -} diff --git a/go/utils/restclient/restclient.go b/go/utils/restclient/restclient.go deleted file mode 100644 index c1316321..00000000 --- a/go/utils/restclient/restclient.go +++ /dev/null @@ -1,185 +0,0 @@ -package restclient - -import ( - "bytes" - "errors" - "fmt" - "io" - "io/ioutil" - "mime/multipart" - "net/http" - "net/url" - "os" - - "github.com/PaddlePaddle/cloud/go/utils/config" - log "github.com/golang/glog" -) - -// HTTPOK is ok status of http api call. -const HTTPOK = "200 OK" - -// HTTPClient is a global Http client obj conains one persist connection. -var HTTPClient = http.DefaultClient - -// MakeRequest returns a general HTTP request object. -func MakeRequest(uri string, method string, body io.Reader, - contentType string, query url.Values, - authHeader map[string]string) (*http.Request, error) { - req, err := http.NewRequest(method, uri, body) - if err != nil { - log.Errorf("new request %v\n", err) - return nil, err - } - - // default contentType is application/json. - if len(contentType) == 0 { - req.Header.Set("Content-Type", "application/json") - } else { - req.Header.Set("Content-Type", contentType) - } - - for k, v := range authHeader { - req.Header.Set(k, v) - } - - if query != nil { - req.URL.RawQuery = query.Encode() - } - return req, nil -} - -// MakeRequestToken use client token to make a authorized request. -func MakeRequestToken(uri string, method string, body io.Reader, - contentType string, query url.Values) (*http.Request, error) { - // get client token - c := config.ParseDefaultConfig() - token, err := Token(c) - if err != nil { - return nil, errors.New("get token error:" + err.Error()) - } - authHeader := make(map[string]string) - authHeader["Authorization"] = "Token " + token - return MakeRequest(uri, method, body, contentType, query, authHeader) -} - -// NOTE: add other request makers if we need other auth methods. - -// GetResponse will do the request and get response from server. -func GetResponse(req *http.Request) ([]byte, error) { - resp, err := HTTPClient.Do(req) - if err != nil { - log.Errorf("HTTPClient do error %v\n", err) - return []byte{}, err - } - defer resp.Body.Close() - if resp.Status != HTTPOK { - return []byte{}, errors.New("server error: " + resp.Status) - } - // FIXME: add more resp.Status checks. - return ioutil.ReadAll(resp.Body) -} - -// GetCall make a GET call to targetURL with query. -func GetCall(targetURL string, query url.Values) ([]byte, error) { - req, err := MakeRequestToken(targetURL, "GET", nil, "", query) - if err != nil { - return []byte{}, err - } - return GetResponse(req) -} - -// PostCall make a POST call to targetURL with a json body. -func PostCall(targetURL string, jsonString []byte) ([]byte, error) { - req, err := MakeRequestToken(targetURL, "POST", bytes.NewBuffer(jsonString), "", nil) - if err != nil { - return []byte{}, err - } - return GetResponse(req) -} - -// DeleteCall make a DELETE call to targetURL with a json body. -func DeleteCall(targetURL string, jsonString []byte) ([]byte, error) { - req, err := MakeRequestToken(targetURL, "DELETE", bytes.NewBuffer(jsonString), "", nil) - if err != nil { - return []byte{}, err - } - return GetResponse(req) -} - -// PostFile make a POST call to HTTP server to upload a file. -func PostFile(targetURL string, filename string, query url.Values) ([]byte, error) { - bodyBuf := &bytes.Buffer{} - bodyWriter := multipart.NewWriter(bodyBuf) - fileWriter, err := bodyWriter.CreateFormFile("file", filename) - if err != nil { - fmt.Fprintf(os.Stderr, "error writing to buffer: %v\n", err) - return []byte{}, err - } - fh, err := os.Open(filename) - defer fh.Close() - if err != nil { - fmt.Fprintf(os.Stderr, "error opening file: %v\n", err) - return []byte{}, err - } - _, err = io.Copy(fileWriter, fh) - if err != nil { - return []byte{}, err - } - - contentType := bodyWriter.FormDataContentType() - if err = bodyWriter.Close(); err != nil { - return []byte{}, err - } - - req, err := MakeRequestToken(targetURL, "POST", bodyBuf, contentType, query) - if err != nil { - return []byte{}, err - } - return GetResponse(req) -} - -// PostChunk makes a POST call to HTTP server to upload chunkdata. -func PostChunk(targetURL string, - chunkName string, reader io.Reader, len int64, boundary string) ([]byte, error) { - body := &bytes.Buffer{} - writer := multipart.NewWriter(body) - if err := writer.SetBoundary(boundary); err != nil { - return nil, err - } - - log.V(4).Infoln(chunkName) - part, err := writer.CreateFormFile("chunk", chunkName) - if err != nil { - return nil, err - } - - _, err = io.CopyN(part, reader, len) - if err != nil { - return nil, err - } - - err = writer.Close() - if err != nil { - return nil, err - } - - contentType := writer.FormDataContentType() - - req, err := MakeRequestToken(targetURL, "POST", body, contentType, nil) - if err != nil { - return nil, err - } - - return GetResponse(req) -} - -// GetChunk makes a GET call to HTTP server to download chunk data. -func GetChunk(targetURL string, - query url.Values) (*http.Response, error) { - req, err := MakeRequestToken(targetURL, "GET", nil, "", query) - if err != nil { - return nil, err - } - - return HTTPClient.Do(req) -} diff --git a/go/utils/restclient/token.go b/go/utils/restclient/token.go deleted file mode 100644 index e8674ebb..00000000 --- a/go/utils/restclient/token.go +++ /dev/null @@ -1,50 +0,0 @@ -package restclient - -import ( - "bytes" - "encoding/json" - "fmt" - "io/ioutil" - "os" - "path/filepath" - - "github.com/PaddlePaddle/cloud/go/utils/config" - "github.com/PaddlePaddle/cloud/go/utils/pathutil" -) - -func getToken(uri string, body []byte) ([]byte, error) { - req, err := MakeRequest(uri, "POST", bytes.NewBuffer(body), "", nil, nil) - if err != nil { - return nil, err - } - return GetResponse(req) -} - -// Token fetch and caches the token for current configured user -func Token(config *config.SubmitConfig) (string, error) { - tokenbytes, err := ioutil.ReadFile(filepath.Join(pathutil.UserHomeDir(), ".paddle", "token_cache")) - if err != nil { - fmt.Fprintf(os.Stderr, "previous token not found, fetching a new one...\n") - // Authenticate to the cloud endpoint - authJSON := map[string]string{} - authJSON["username"] = config.ActiveConfig.Username - authJSON["password"] = config.ActiveConfig.Password - authStr, _ := json.Marshal(authJSON) - body, err := getToken(config.ActiveConfig.Endpoint+"/api-token-auth/", authStr) - if err != nil { - return "", err - } - var respObj interface{} - if errJSON := json.Unmarshal(body, &respObj); errJSON != nil { - return "", errJSON - } - tokenStr := respObj.(map[string]interface{})["token"].(string) - err = ioutil.WriteFile(filepath.Join(pathutil.UserHomeDir(), ".paddle", "token_cache"), []byte(tokenStr), 0600) - if err != nil { - fmt.Fprintf(os.Stderr, "write cache token file error: %v", err) - } - // Ignore write token error, fetch a new one next time - return tokenStr, nil - } - return string(tokenbytes), nil -} diff --git a/go/utils/restclient/token_test.go b/go/utils/restclient/token_test.go deleted file mode 100644 index 688368a3..00000000 --- a/go/utils/restclient/token_test.go +++ /dev/null @@ -1,84 +0,0 @@ -package restclient - -import ( - "errors" - "fmt" - "net" - "net/http" - "os" - "path/filepath" - "testing" - "time" - - "github.com/PaddlePaddle/cloud/go/utils/config" - "github.com/PaddlePaddle/cloud/go/utils/pathutil" - "github.com/stretchr/testify/require" -) - -func fakeServer() (*http.Server, int) { - http.HandleFunc("/api-token-auth/", func(w http.ResponseWriter, r *http.Request) { - w.Write([]byte("{\"token\": \"testtokenvalue\"}")) - }) - http.HandleFunc("/fake-api/", func(w http.ResponseWriter, r *http.Request) { - w.Write([]byte("fakeresult")) - }) - listener, err := net.Listen("tcp", ":0") - if err != nil { - panic(err) - } - - fmt.Println("Using port:", listener.Addr().(*net.TCPAddr).Port) - - srv := &http.Server{Addr: listener.Addr().String()} - go func() { - if err := srv.Serve(listener); err != nil { - return - } - }() - time.Sleep(50 * time.Millisecond) - return srv, listener.Addr().(*net.TCPAddr).Port -} - -func mkdirP(path string) error { - fi, err := os.Stat(path) - - if os.IsExist(err) { - if !fi.IsDir() { - return errors.New("exist a same name file") - } - - return nil - } - - return os.MkdirAll(path, 0700) -} - -func TestTokenParse(t *testing.T) { - srv, port := fakeServer() - defer srv.Shutdown(nil) - - // test token fetching - path := filepath.Join(pathutil.UserHomeDir(), ".paddle") - require.Nil(t, mkdirP(path), "mkdir ", path) - - os.Remove(filepath.Join(path, "token_cache")) - tmpconf := &config.SubmitConfig{ActiveConfig: &config.SubmitConfigDataCenter{ - Name: "test", - Username: "testuser", - Password: "fff", - Endpoint: fmt.Sprintf("http://127.0.0.1:%d", port), - }} - - token, err := Token(tmpconf) - require.Nil(t, err, "get token") - require.Equal(t, "testtokenvalue", token, "token not equal to the server") - - // FIXME: separate these tests - // test token request - uri := fmt.Sprintf("http://127.0.0.1:%d/fake-api/", port) - req, err := MakeRequest(uri, "GET", nil, "", nil, nil) - require.Nil(t, err, "make request") - resp, err := GetResponse(req) - require.Nil(t, err, "get request") - require.Equal(t, "fakeresult", string(resp)) -} diff --git a/k8s/cloud_deployment.yaml b/k8s/cloud_deployment.yaml deleted file mode 100644 index 8290154e..00000000 --- a/k8s/cloud_deployment.yaml +++ /dev/null @@ -1,75 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Deployment -metadata: - name: paddle-cloud -spec: - replicas: 1 - template: - metadata: - labels: - app: paddle-cloud - spec: - volumes: - - name: cert-volume - hostPath: - path: /home/pcloud/data/certs - - name: mysql-data - hostPath: - path: /home/pcloud/data/mysql - - name: settings - hostPath: - path: /home/pcloud/data/settings.py - #- name: email-tmp-msg: - # hostPath: - # path: /home/pcloud/templates/email_confirmation_message.txt - #- name: email-tmp-subj: - # hostPath: - # path: /home/pcloud/templates/email_confirmation_subject.txt - #- name: homepage - # hostPath: - # path: /home/pcloud/templates/homepage.html - # - name: data-storage - # cephfs: - # name: cephfs - # monitors: ["172.19.32.166:6789"] - # path: "/" - # user: "admin" - # secretRef: - # name: ceph-secret - containers: - - name: paddle-cloud - imagePullPolicy: Always - image: paddlepaddle/cloud - volumeMounts: - - name: cert-volume - mountPath: /certs - - name: settings - mountPath: /pcloud/paddlecloud/settings.py - # - name: data-storage - # mountPath: /pfs - #- name: homepage - # mountPath: /pcloud/paddlecloud/templates/homepage.html - #- name: email-tmp-msg: - # mountPath: /pcloud/notebook/templates/account/email/email_confirmation_message.txt - #- name: email-tmp-subj: - # mountPath: /pcloud/notebook/templates/account/email/email_confirmation_subject.txt - ports: - - containerPort: 8000 - env: - - name: POD_IP - valueFrom: - fieldRef: - fieldPath: status.podIP - - name: PORT - value: "8000" -# livenessProbe: -# httpGet: -# path: /healthz/ -# port: 8000 -# httpHeaders: -# - name: User-Agent -# value: kubernetes-health-check -# initialDelaySeconds: 3 -# periodSeconds: 5 - nodeSelector: - kubernetes.io/hostname: your-host-name diff --git a/k8s/cloud_ingress.yaml b/k8s/cloud_ingress.yaml deleted file mode 100644 index 20bbaa21..00000000 --- a/k8s/cloud_ingress.yaml +++ /dev/null @@ -1,18 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Ingress -metadata: - name: paddle-cloud-ingress -spec: - rules: - - host: cloud.paddlepaddle.org - http: - paths: - - path: /api/v1/files - backend: - serviceName: pfs-service - servicePort: 8080 - - path: / - backend: - serviceName: paddle-cloud-service - servicePort: 8000 - diff --git a/k8s/cloud_service.yaml b/k8s/cloud_service.yaml deleted file mode 100644 index a0192013..00000000 --- a/k8s/cloud_service.yaml +++ /dev/null @@ -1,11 +0,0 @@ -kind: Service -apiVersion: v1 -metadata: - name: paddle-cloud-service -spec: - selector: - app: paddle-cloud - ports: - - protocol: TCP - port: 8000 - targetPort: 8000 diff --git a/k8s/config b/k8s/config deleted file mode 100644 index df9f943b..00000000 --- a/k8s/config +++ /dev/null @@ -1,12 +0,0 @@ -apiVersion: v1 -clusters: -- cluster: - server: http://localhost:8080 - name: default-cluster -contexts: -- context: - cluster: default-cluster - name: default-context -current-context: default-context -kind: Config -preferences: {} diff --git a/k8s/default_quota.yaml b/k8s/default_quota.yaml deleted file mode 100644 index c1e48f89..00000000 --- a/k8s/default_quota.yaml +++ /dev/null @@ -1,12 +0,0 @@ -apiVersion: v1 -kind: ResourceQuota -metadata: - name: compute-resources -spec: - hard: - pods: "10" - requests.cpu: "10" - requests.memory: 100Gi - limits.cpu: "10" - limits.memory: 100Gi - persistentvolumeclaims: "1" diff --git a/k8s/edl/autoscale_job/example_job.yaml b/k8s/edl/autoscale_job/example_job.yaml deleted file mode 100644 index 2a0e2eb8..00000000 --- a/k8s/edl/autoscale_job/example_job.yaml +++ /dev/null @@ -1,34 +0,0 @@ -apiVersion: paddlepaddle.org/v1 -kind: TrainingJob -metadata: - name: example -spec: - image: "paddlepaddle/paddlecloud-job" - port: 7164 - ports_num: 1 - ports_num_for_sparse: 1 - fault_tolerant: true - trainer: - entrypoint: "python train.py" - workspace: "/home/job-1/" - passes: 10 - min-instance: 2 - max-instance: 6 - resources: - limits: - #alpha.kubernetes.io/nvidia-gpu: 1 - cpu: "200m" - memory: "200Mi" - requests: - cpu: "200m" - memory: "200Mi" - pserver: - min-instance: 2 - max-instance: 2 - resources: - limits: - cpu: "800m" - memory: "1Gi" - requests: - cpu: "500m" - memory: "600Mi" diff --git a/k8s/edl/autoscale_job/master.yaml b/k8s/edl/autoscale_job/master.yaml deleted file mode 100644 index f4c16e29..00000000 --- a/k8s/edl/autoscale_job/master.yaml +++ /dev/null @@ -1,82 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: ReplicaSet -metadata: - name: example-master -spec: - replicas: 1 - template: - metadata: - labels: - paddle-job-master: example - spec: - volumes: - - name: example-workspace - hostPath: - path: /workspace - containers: - - name: master - image: paddlepaddle/paddlecloud-job - imagePullPolicy: Always - ports: - - name: master-port - containerPort: 8080 - - name: etcd-port - containerPort: 2379 - volumeMounts: - - mountPath: /workspace - name: example-workspace - env: - command: ["paddle_k8s", "start_master"] - resources: - requests: - memory: 200Mi - cpu: 200m - limits: - memory: 200Mi - cpu: 200m - - name: example-etcd - image: quay.io/coreos/etcd:v3.2.1 - env: - - name: PADDLE_JOB_NAME - value: example - - name: TRAINERS - value: "2" - - name: PSERVERS - value: "2" - - name: TOPOLOGY - value: "" - - name: ENTRY - value: "python train.py" - - name: TRAINER_PACKAGE - value: "/tmp" - - name: PADDLE_INIT_PORT - value: "7164" - - name: PADDLE_INIT_TRAINER_COUNT - value: "1" - - name: PADDLE_INIT_PORTS_NUM - value: "1" - - name: PADDLE_INIT_PORTS_NUM_FOR_SPARSE - value: "1" - - name: PADDLE_INIT_NUM_GRADIENT_SERVERS - value: "2" - - name: PADDLE_INIT_NUM_PASSES - value: "1" - - name: PADDLE_INIT_USE_GPU - value: "1" - - name: LD_LIBRARY_PATH - value: "/usr/local/nvidia/lib64" - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: "metadata.namespace" - - name: POD_IP - valueFrom: - fieldRef: - fieldPath: status.podIP - command: ["etcd", "-name", "etcd0", - "-advertise-client-urls", "http://$(POD_IP):2379,http://$(POD_IP):4001", - "-listen-client-urls", "http://0.0.0.0:2379,http://0.0.0.0:4001", - "-initial-advertise-peer-urls", "http://$(POD_IP):2380", - "-listen-peer-urls", "http://0.0.0.0:2380", - "-initial-cluster", "etcd0=http://$(POD_IP):2380", - "-initial-cluster-state", "new"] diff --git a/k8s/edl/autoscale_job/pserver.yaml b/k8s/edl/autoscale_job/pserver.yaml deleted file mode 100644 index c127f9f5..00000000 --- a/k8s/edl/autoscale_job/pserver.yaml +++ /dev/null @@ -1,62 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: ReplicaSet -metadata: - name: example-pserver -spec: - replicas: 2 - template: - metadata: - labels: - paddle-job-pserver: example - spec: - containers: - - name: pserver - image: paddlepaddle/paddlecloud-job - imagePullPolicy: Always - ports: - - name: jobport-7164 - containerPort: 7164 - - name: jobport-7165 - containerPort: 7165 - env: - - name: PADDLE_JOB_NAME - value: example - - name: TRAINERS - value: "2" - - name: PSERVERS - value: "2" - - name: TOPOLOGY - value: "" - - name: ENTRY - value: "python train.py" - - name: TRAINER_PACKAGE - value: "/tmp" - - name: PADDLE_INIT_PORT - value: "7164" - - name: PADDLE_INIT_TRAINER_COUNT - value: "1" - - name: PADDLE_INIT_PORTS_NUM - value: "1" - - name: PADDLE_INIT_PORTS_NUM_FOR_SPARSE - value: "1" - - name: PADDLE_INIT_NUM_GRADIENT_SERVERS - value: "2" - - name: PADDLE_INIT_NUM_PASSES - value: "1" - - name: PADDLE_INIT_USE_GPU - value: "1" - - name: LD_LIBRARY_PATH - value: "/usr/local/nvidia/lib64" - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: "metadata.namespace" - command: ["paddle_k8s", "start_new_pserver"] - resources: - requests: - memory: 200Mi - cpu: 200m - limits: - memory: 200Mi - cpu: 200m - diff --git a/k8s/edl/autoscale_job/trainer.yaml b/k8s/edl/autoscale_job/trainer.yaml deleted file mode 100644 index bf875f8f..00000000 --- a/k8s/edl/autoscale_job/trainer.yaml +++ /dev/null @@ -1,67 +0,0 @@ -apiVersion: batch/v1 -kind: Job -metadata: - name: example-trainer -spec: - parallelism: 2 -# completions: 2 - template: - metadata: - labels: - paddle-job: example - spec: - volumes: - - name: example-workspace - hostPath: - path: /workspace - containers: - - name: trainer - image: helinwang/paddlecloud-job - imagePullPolicy: Always - command: ["paddle_k8s", "start_new_trainer"] - volumeMounts: - - mountPath: /workspace - name: example-workspace - env: - - name: PADDLE_JOB_NAME - value: example - - name: TRAINERS - value: "2" - - name: PSERVERS - value: "2" - - name: TOPOLOGY - value: "" - - name: ENTRY - value: "cd /workspace && python /workspace/train_ft.py" - - name: TRAINER_PACKAGE - value: "/tmp" - - name: PADDLE_INIT_PORT - value: "7164" - - name: PADDLE_INIT_TRAINER_COUNT - value: "1" - - name: PADDLE_INIT_PORTS_NUM - value: "1" - - name: PADDLE_INIT_PORTS_NUM_FOR_SPARSE - value: "1" - - name: PADDLE_INIT_NUM_GRADIENT_SERVERS - value: "2" - - name: PADDLE_INIT_NUM_PASSES - value: "1" - - name: PADDLE_INIT_USE_GPU - value: "0" - - name: LD_LIBRARY_PATH - value: "/usr/local/nvidia/lib64" - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: "metadata.namespace" - resources: - requests: - memory: 200Mi - cpu: 200m - limits: - memory: 200Mi - cpu: 200m - #alpha.kubernetes.io/nvidia-gpu: 1 - restartPolicy: Never - diff --git a/k8s/edl/autoscale_load/autoscale_load.yaml b/k8s/edl/autoscale_load/autoscale_load.yaml deleted file mode 100644 index ff00570b..00000000 --- a/k8s/edl/autoscale_load/autoscale_load.yaml +++ /dev/null @@ -1,22 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Deployment -metadata: - name: autoscale-load -spec: - replicas: 1 - template: - metadata: - labels: - app: autoscale-load - spec: - containers: - - name: autoscale-load - image: paddlepaddle/paddlecloud-job - command: ["sleep", "3600"] - resources: - limits: - cpu: 400m - memory: 100Mi - requests: - cpu: 400m - memory: 100Mi diff --git a/k8s/edl/controller.yaml b/k8s/edl/controller.yaml deleted file mode 100644 index 2c7b2f2c..00000000 --- a/k8s/edl/controller.yaml +++ /dev/null @@ -1,19 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Deployment -metadata: - name: training-job-controller - namespace: paddlecloud -spec: - replicas: 1 - template: - metadata: - labels: - name: training-job-controller - spec: - containers: - - name: training-job-controller - image: registry.baidu.com/paddlepaddle/controller - imagePullPolicy: Always - command: ["/controller", "-logtostderr", "-log_level", "debug"] - imagePullSecrets: - - name: regsecret diff --git a/k8s/edl/trainingjob_resource.yaml b/k8s/edl/trainingjob_resource.yaml deleted file mode 100644 index 21c27cce..00000000 --- a/k8s/edl/trainingjob_resource.yaml +++ /dev/null @@ -1,7 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: ThirdPartyResource -metadata: - name: training-job.paddlepaddle.org -description: "PaddlePaddle TrainingJob operator" -versions: -- name: v1 \ No newline at end of file diff --git a/k8s/minikube/cloud_deployment.yaml b/k8s/minikube/cloud_deployment.yaml deleted file mode 100644 index 59b58a9b..00000000 --- a/k8s/minikube/cloud_deployment.yaml +++ /dev/null @@ -1,38 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Deployment -metadata: - name: paddle-cloud -spec: - replicas: 1 - template: - metadata: - labels: - app: paddle-cloud - spec: - volumes: - - name: cert-volume - hostPath: - path: /certs - - name: settings - hostPath: - path: /settings.py - containers: - - name: paddle-cloud - imagePullPolicy: IfNotPresent - image: paddlepaddle/cloud - volumeMounts: - - name: cert-volume - mountPath: /certs - - name: settings - mountPath: /pcloud/paddlecloud/settings.py - ports: - - containerPort: 8000 - env: - - name: POD_IP - valueFrom: - fieldRef: - fieldPath: status.podIP - - name: PORT - value: "8000" - nodeSelector: - kubernetes.io/hostname: minikube diff --git a/k8s/minikube/cloud_ingress.yaml b/k8s/minikube/cloud_ingress.yaml deleted file mode 100644 index 18a8a655..00000000 --- a/k8s/minikube/cloud_ingress.yaml +++ /dev/null @@ -1,18 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Ingress -metadata: - name: paddle-cloud-ingress -spec: - rules: - - host: cloud.testpcloud.org - http: - paths: - - path: /api/v1/pfs - backend: - serviceName: pfs-service - servicePort: 8080 - - path: / - backend: - serviceName: paddle-cloud-service - servicePort: 8000 - diff --git a/k8s/minikube/cloud_service.yaml b/k8s/minikube/cloud_service.yaml deleted file mode 100644 index a0192013..00000000 --- a/k8s/minikube/cloud_service.yaml +++ /dev/null @@ -1,11 +0,0 @@ -kind: Service -apiVersion: v1 -metadata: - name: paddle-cloud-service -spec: - selector: - app: paddle-cloud - ports: - - protocol: TCP - port: 8000 - targetPort: 8000 diff --git a/k8s/minikube/mysql_deployment.yaml b/k8s/minikube/mysql_deployment.yaml deleted file mode 100644 index eb3aa6f5..00000000 --- a/k8s/minikube/mysql_deployment.yaml +++ /dev/null @@ -1,30 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Deployment -metadata: - name: paddle-cloud-mysql -spec: - replicas: 1 - template: - metadata: - labels: - app: paddle-cloud-mysql - spec: - volumes: - - name: mysql-data - hostPath: - path: "/mysql" - containers: - - name: mysql - image: mysql:5.7 - imagePullPolicy: IfNotPresent - #volumeMounts: - #- name: mysql-data - #mountPath: /var/lib/mysql2 - env: - - name: MYSQL_ROOT_PASSWORD - value: root - - name: MYSQL_DATABASE - value: paddlecloud - args: ["--character-set-server=utf8mb4", "--collation-server=utf8mb4_unicode_ci"] - nodeSelector: - kubernetes.io/hostname: minikube diff --git a/k8s/minikube/mysql_service.yaml b/k8s/minikube/mysql_service.yaml deleted file mode 100644 index 11385d31..00000000 --- a/k8s/minikube/mysql_service.yaml +++ /dev/null @@ -1,11 +0,0 @@ -kind: Service -apiVersion: v1 -metadata: - name: paddle-cloud-mysql-service -spec: - selector: - app: paddle-cloud-mysql - ports: - - protocol: TCP - port: 3306 - targetPort: 3306 diff --git a/k8s/minikube/pfs_deployment.yaml b/k8s/minikube/pfs_deployment.yaml deleted file mode 100644 index 0819b26f..00000000 --- a/k8s/minikube/pfs_deployment.yaml +++ /dev/null @@ -1,36 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Deployment -metadata: - name: pfsserver -spec: - replicas: 1 - template: - metadata: - labels: - app: pfsserver - spec: - volumes: - - name: public-data-storage - hostPath: - path: "/public" - - name: data-storage - hostPath: - path: "/users" - containers: - - name: pfs - imagePullPolicy: IfNotPresent - image: paddlepaddle/pfsserver:latest - env: - - name: CURRENT_DATACENTER - value: "datacenter" - command: ["/pfsserver/pfsserver", "-tokenuri", "http://paddle-cloud-service:8000", "-logtostderr=true", "-log_dir=./log", "-v=4"] - volumeMounts: - - name: data-storage - mountPath: /pfs/datacenter/home - - name: public-data-storage - mountPath: /pfs/datacenter/public/dataset - ports: - - containerPort: 8080 - nodeSelector: - kubernetes.io/hostname: minikube - diff --git a/k8s/minikube/pfs_service.yaml b/k8s/minikube/pfs_service.yaml deleted file mode 100644 index 4e23103a..00000000 --- a/k8s/minikube/pfs_service.yaml +++ /dev/null @@ -1,12 +0,0 @@ -kind: Service -apiVersion: v1 -metadata: - name: pfs-service -spec: - selector: - app: pfsserver - ports: - - protocol: TCP - port: 8080 - targetPort: 8080 - type: NodePort diff --git a/k8s/minikube/settings.py b/k8s/minikube/settings.py deleted file mode 100644 index 0723d99b..00000000 --- a/k8s/minikube/settings.py +++ /dev/null @@ -1,338 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -from kubernetes import config - -PROJECT_ROOT = os.path.abspath( - os.path.join(os.path.dirname(__file__), os.pardir)) -PACKAGE_ROOT = os.path.abspath(os.path.dirname(__file__)) -BASE_DIR = PACKAGE_ROOT - -DEBUG = True - -DATABASES = { - "default": { - "ENGINE": "django.db.backends.mysql", - "NAME": "paddlecloud", - 'USER': 'root', - 'PASSWORD': 'root', - 'HOST': - 'paddle-cloud-mysql-service', # Or an IP Address that your DB is hosted on - 'PORT': '3306', - } -} - -ALLOWED_HOSTS = ["127.0.0.1", "cloud.testpcloud.org", "testpcloud.org"] - -POD_IP = os.getenv("POD_IP") -if POD_IP: - ALLOWED_HOSTS.append(POD_IP) - -REST_FRAMEWORK = { - # Use Django's standard `django.contrib.auth` permissions, - # or allow read-only access for unauthenticated users. - 'DEFAULT_AUTHENTICATION_CLASSES': ( - 'rest_framework.authentication.BasicAuthentication', - 'rest_framework.authentication.SessionAuthentication', - 'rest_framework.authentication.TokenAuthentication', ), - 'DEFAULT_PERMISSION_CLASSES': - ['rest_framework.permissions.DjangoModelPermissionsOrAnonReadOnly'] -} - -# Local time zone for this installation. Choices can be found here: -# http://en.wikipedia.org/wiki/List_of_tz_zones_by_name -# although not all choices may be available on all operating systems. -# On Unix systems, a value of None will cause Django to use the same -# timezone as the operating system. -# If running in a Windows environment this must be set to the same as your -# system time zone. -TIME_ZONE = "UTC" - -# Language code for this installation. All choices can be found here: -# http://www.i18nguy.com/unicode/language-identifiers.html -LANGUAGE_CODE = "en-us" - -SITE_ID = int(os.environ.get("SITE_ID", 1)) - -# If you set this to False, Django will make some optimizations so as not -# to load the internationalization machinery. -USE_I18N = True - -# If you set this to False, Django will not format dates, numbers and -# calendars according to the current locale. -USE_L10N = True - -# If you set this to False, Django will not use timezone-aware datetimes. -USE_TZ = True - -# Absolute filesystem path to the directory that will hold user-uploaded files. -# Example: "/home/media/media.lawrence.com/media/" -MEDIA_ROOT = os.path.join(PACKAGE_ROOT, "site_media", "media") - -# URL that handles the media served from MEDIA_ROOT. Make sure to use a -# trailing slash. -# Examples: "http://media.lawrence.com/media/", "http://example.com/media/" -MEDIA_URL = "/site_media/media/" - -# Absolute path to the directory static files should be collected to. -# Don"t put anything in this directory yourself; store your static files -# in apps" "static/" subdirectories and in STATICFILES_DIRS. -# Example: "/home/media/media.lawrence.com/static/" -STATIC_ROOT = os.path.join(PACKAGE_ROOT, "site_media", "static") - -# URL prefix for static files. -# Example: "http://media.lawrence.com/static/" -STATIC_URL = "/site_media/static/" - -# Additional locations of static files -STATICFILES_DIRS = [os.path.join(PROJECT_ROOT, "static", "dist"), ] - -STATICFILES_STORAGE = "django.contrib.staticfiles.storage.ManifestStaticFilesStorage" - -# List of finder classes that know how to find static files in -# various locations. -STATICFILES_FINDERS = [ - "django.contrib.staticfiles.finders.FileSystemFinder", - "django.contrib.staticfiles.finders.AppDirectoriesFinder", -] - -# Make this unique, and don't share it with anybody. -SECRET_KEY = "vpu^(5mjr)*tloao^m$wlh)oc(fn1yoiqoq@m0$er((qlocq1k" - -TEMPLATES = [{ - "BACKEND": "django.template.backends.django.DjangoTemplates", - "DIRS": [os.path.join(PACKAGE_ROOT, "templates"), ], - "APP_DIRS": True, - "OPTIONS": { - "debug": DEBUG, - "context_processors": [ - "django.contrib.auth.context_processors.auth", - "django.template.context_processors.debug", - "django.template.context_processors.i18n", - "django.template.context_processors.media", - "django.template.context_processors.static", - "django.template.context_processors.tz", - "django.template.context_processors.request", - "django.contrib.messages.context_processors.messages", - "account.context_processors.account", - "pinax_theme_bootstrap.context_processors.theme", - ], - }, -}, ] - -MIDDLEWARE = [ - "django.contrib.sessions.middleware.SessionMiddleware", - "django.middleware.common.CommonMiddleware", - "django.middleware.csrf.CsrfViewMiddleware", - "django.contrib.auth.middleware.AuthenticationMiddleware", - "django.contrib.auth.middleware.SessionAuthenticationMiddleware", - "django.contrib.messages.middleware.MessageMiddleware", - "django.middleware.clickjacking.XFrameOptionsMiddleware", - "account.middleware.ExpiredPasswordMiddleware", -] - -ROOT_URLCONF = "paddlecloud.urls" - -# Python dotted path to the WSGI application used by Django's runserver. -WSGI_APPLICATION = "paddlecloud.wsgi.application" - -INSTALLED_APPS = [ - "django.contrib.admin", - "django.contrib.auth", - "django.contrib.contenttypes", - "django.contrib.messages", - "django.contrib.sessions", - "django.contrib.sites", - "django.contrib.staticfiles", - # token auth - "rest_framework", - "rest_framework.authtoken", - # paddlecloud apps - # NOTE: load before pinax_theme_bootstrap to customize the theme - "notebook", - - # theme - "bootstrapform", - "pinax_theme_bootstrap", - - # external - "account", - "pinax.eventlog", - "pinax.webanalytics", - - # project - "paddlecloud", -] - -# A sample logging configuration. The only tangible logging -# performed by this configuration is to send an email to -# the site admins on every HTTP 500 error when DEBUG=False. -# See http://docs.djangoproject.com/en/dev/topics/logging for -# more details on how to customize your logging configuration. -LOGGING = { - "version": 1, - "disable_existing_loggers": False, - "filters": { - "require_debug_false": { - "()": "django.utils.log.RequireDebugFalse" - } - }, - 'formatters': { - 'verbose': { - 'format': '[%(levelname)s %(asctime)s @ %(process)d] - %(message)s' - }, - 'simple': { - 'format': '%(levelname)s %(message)s' - }, - }, - "handlers": { - "mail_admins": { - "level": "INFO", - "filters": ["require_debug_false"], - "class": "django.utils.log.AdminEmailHandler" - }, - "stdout": { - "level": "INFO", - "class": "logging.StreamHandler", - "formatter": "verbose" - }, - }, - "loggers": { - "": { - "handlers": ["stdout"], - "level": "INFO", - "propagate": True, - }, - "django.request": { - "handlers": ["mail_admins"], - "level": "INFO", - "propagate": True, - }, - } -} - -FIXTURE_DIRS = [os.path.join(PROJECT_ROOT, "fixtures"), ] - -EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend" - -LOGIN_URL = "/account/login" - -ACCOUNT_OPEN_SIGNUP = True -ACCOUNT_EMAIL_UNIQUE = True -ACCOUNT_EMAIL_CONFIRMATION_REQUIRED = False -ACCOUNT_LOGIN_REDIRECT_URL = "home" -ACCOUNT_LOGOUT_REDIRECT_URL = "home" -ACCOUNT_EMAIL_CONFIRMATION_EXPIRE_DAYS = 2 -ACCOUNT_USE_AUTH_AUTHENTICATE = True -ACCOUNT_USER_DISPLAY = lambda user: user.email - -ACCOUNT_PASSWORD_EXPIRY = 60 * 60 * 24 * 5 # seconds until pw expires, this example shows five days -ACCOUNT_PASSWORD_USE_HISTORY = True - -AUTHENTICATION_BACKENDS = [ - "account.auth_backends.UsernameAuthenticationBackend", -] - -# secret places to store ca and users keys -CA_PATH = "/certs/ca.crt" -CA_KEY_PATH = "/certs/ca.key" -USER_CERTS_PATH = "/certs" - -K8S_HOST = "https://%s:%s" % (os.getenv("KUBERNETES_SERVICE_HOST"), - os.getenv("KUBERNETES_SERVICE_PORT_HTTPS")) -PADDLE_BOOK_IMAGE = "paddlepaddle/book" -PADDLE_BOOK_PORT = 8888 - -# ============== Datacenter Storage Config Samples ============== -#if Paddle cloud use CephFS as backend storage, configure CEPHFS_CONFIGURATION -#the following is an example: - -#DATACENTERS = { -# "datacenter1":{ -# "fstype": "cephfs", -# "monitors_addr": "172.19.32.166:6789", -# "secret": "ceph-secret", -# "user": "admin", -# "mount_path": "/pfs/%s/home/%s/", # mount_path % ( dc, username ) -# "cephfs_path": "/%s" # cephfs_path % username -# "admin_key": "/certs/admin.secret" -# } -#} -#for HostPath example: -DATACENTERS = { - "testpcloud": { - "fstype": "hostpath", - "host_path": "/%s", - "mount_path": "/pfs/%s/home/%s/" # mount_path % ( dc, username ) - } -} -FSTYPE_CEPHFS = "cephfs" -FSTYPE_HOSTPATH = "hostpath" -#DATACENTERS = { -# "meiyan":{ -# "fstype": FSTYPE_CEPHFS, -# "monitors_addr": ["172.19.32.166:6789"], # must be a list -# "secret": "ceph-secret", -# "user": "admin", -# "mount_path": "/pfs/%s/home/%s/", # mount_path % ( dc, username ) -# "cephfs_path": "/%s", # cephfs_path % username -# "admin_key": "/certs/admin.secret", -# }, -# "public": { -# "fstype": FSTYPE_CEPHFS, -# "monitors_addr": ["172.19.32.166:6789"], # must be a list -# "secret": "ceph-secret", -# "user": "admin", -# "mount_path": "/pfs/%s/public/", # mount_path % ( dc, username ) -# "cephfs_path": "/public", # cephfs_path % username -# "admin_key": "/certs/admin.secret", -# "read_only": True -# } -#} -# where cephfs root is mounted when using cephfs storage service -STORAGE_PATH = "/pfs" -# HACK: define use HDFS or CEPHFS, in cephfs mode jobpath will be /pfs/jobs/[jobname] -STORAGE_MODE = "HDFS" - -# ===================== Docker image registry ===================== -JOB_DOCKER_IMAGE = { - # These images are built by `docker/build_docker.sh` under this repo. - "image": "typhoon1986/paddlecloud-job", - "image_gpu": "typhoon1986/paddlecloud-job:gpu", - # docker registry credentials - "registry_secret": - "job-registry-secret", # put this to None if not using registry login - "docker_config": { - "auths": { - "registry.baidu.com": { - "auth": "eWFueHUwNTpRTndVSGV1Rldl" - } - } - } -} - -# Path store all cuda, nvidia driver libs -NVIDIA_LIB_PATH = "/usr/local/nvidia/lib64" -# etcd image for fault-tolerant jobs -ETCD_IMAGE = "quay.io/coreos/etcd:v3.2.1" - -# domains that allow notebook to enter -NOTEBOOK_DOMAINS = ["cloud.testpcloud.org", "cloud.testpcloud.com"] - -# GPU limit for users -# TODO(Yancey1989): -# 1. Implement -# 2. Move GPU quota to Kubernetes -GPU_QUOTA = {"DEFAULT": {"limit": 2}, "yanxu05@baidu.com": {"limit": 5}} diff --git a/k8s/mysql_deployment.yaml b/k8s/mysql_deployment.yaml deleted file mode 100644 index 57946958..00000000 --- a/k8s/mysql_deployment.yaml +++ /dev/null @@ -1,29 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Deployment -metadata: - name: paddle-cloud-mysql -spec: - replicas: 1 - template: - metadata: - labels: - app: paddle-cloud-mysql - spec: - volumes: - - name: mysql-data - hostPath: - path: /home/pcloud/data/mysql - containers: - - name: mysql - image: mysql:5.7 - volumeMounts: - - name: mysql-data - mountPath: /var/lib/mysql - env: - - name: MYSQL_ROOT_PASSWORD - value: root - - name: MYSQL_DATABASE - value: paddlecloud - args: ["--character-set-server=utf8mb4", "--collation-server=utf8mb4_unicode_ci"] - nodeSelector: - kubernetes.io/hostname: your-host-name diff --git a/k8s/mysql_service.yaml b/k8s/mysql_service.yaml deleted file mode 100644 index 11385d31..00000000 --- a/k8s/mysql_service.yaml +++ /dev/null @@ -1,11 +0,0 @@ -kind: Service -apiVersion: v1 -metadata: - name: paddle-cloud-mysql-service -spec: - selector: - app: paddle-cloud-mysql - ports: - - protocol: TCP - port: 3306 - targetPort: 3306 diff --git a/k8s/pfs_deployment.yaml b/k8s/pfs_deployment.yaml deleted file mode 100644 index d94c5436..00000000 --- a/k8s/pfs_deployment.yaml +++ /dev/null @@ -1,47 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: Deployment -metadata: - name: pfsserver - namespace: paddlecloud -spec: - replicas: 1 - template: - metadata: - labels: - app: pfsserver - spec: - volumes: - - name: public-data-storage - cephfs: - # Notice: change ip to your's - monitors: ["ip:6789"] - user: "admin" - path: "/public/dataset" - secretRef: - name: ceph-secret - readOnly: true - - name: data-storage - cephfs: - # Notice: change ip to your's - monitors: ["ip:6789"] - user: "admin" - path: "/" - secretRef: - name: ceph-secret - containers: - - name: pfs - imagePullPolicy: Always - # Notice: change repo to your's - image: /paddlepaddle/pfsserver:latest - env: - - name: CURRENT_DATACENTER - value: "datacenter" - command: ["/pfsserver/pfsserver", "-tokenuri", "http://paddle-cloud-service:8000", "-logtostderr=true", "-log_dir=./log", "-v=4"] - volumeMounts: - - name: data-storage - mountPath: /pfs/datacenter/home - - name: public-data-storage - mountPath: /pfs/datacenter/public/dataset - ports: - - containerPort: 8080 - diff --git a/k8s/pfs_service.yaml b/k8s/pfs_service.yaml deleted file mode 100644 index 4e23103a..00000000 --- a/k8s/pfs_service.yaml +++ /dev/null @@ -1,12 +0,0 @@ -kind: Service -apiVersion: v1 -metadata: - name: pfs-service -spec: - selector: - app: pfsserver - ports: - - protocol: TCP - port: 8080 - targetPort: 8080 - type: NodePort diff --git a/k8s/prepare_dataset.yaml b/k8s/prepare_dataset.yaml deleted file mode 100644 index d9dde207..00000000 --- a/k8s/prepare_dataset.yaml +++ /dev/null @@ -1,27 +0,0 @@ -apiVersion: batch/v1 -kind: Job -metadata: - name: prepare-cloud-dataset -spec: - template: - metadata: - name: prepare-cloud-dataset - spec: - volumes: - - name: data-storage - cephfs: - monitors: - - - path: "/public" - user: "admin" - secretRef: - name: ceph-secret - containers: - - name: prepare - image: yancey1989/paddlecloud-job - command: ["sh", "-c", "python -c \"import paddle.v2.dataset as dataset; dataset.common.convert('/pfs//public/dataset')\""] - volumeMounts: - - name: data-storage - mountPath: /pfs//public - restartPolicy: Never - diff --git a/k8s/raw_job/Dockerfile b/k8s/raw_job/Dockerfile deleted file mode 100644 index e3aabf76..00000000 --- a/k8s/raw_job/Dockerfile +++ /dev/null @@ -1,6 +0,0 @@ -FROM paddlepaddle/paddlecloud-job - -RUN mkdir -p /workspace -ADD prepare_data.py train.py /workspace/ -RUN python /workspace/prepare_data.py - diff --git a/k8s/raw_job/prepare_data.py b/k8s/raw_job/prepare_data.py deleted file mode 100644 index b10e298f..00000000 --- a/k8s/raw_job/prepare_data.py +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import paddle.v2 as paddle - -paddle.dataset.mnist.train() diff --git a/k8s/raw_job/pserver.yaml b/k8s/raw_job/pserver.yaml deleted file mode 100644 index ec21d88b..00000000 --- a/k8s/raw_job/pserver.yaml +++ /dev/null @@ -1,65 +0,0 @@ -apiVersion: extensions/v1beta1 -kind: ReplicaSet -metadata: - name: rawjob-pserver -spec: - replicas: 4 - template: - metadata: - labels: - paddle-job-pserver: rawjob - spec: - hostNetwork: true - imagePullSecrets: - - name: job-registry-secret - containers: - - name: pserver - image: "yourimage" - imagePullPolicy: Always - ports: - - name: jobport-30487 - containerPort: 30487 - env: - - name: PADDLE_JOB_NAME - value: rawjob - - name: TRAINERS - value: "4" - - name: PSERVERS - value: "4" - - name: TOPOLOGY - value: "" - - name: ENTRY - value: "python train.py" - - name: TRAINER_PACKAGE - value: "/workspace" - - name: PADDLE_INIT_PORT - value: "30487" - - name: PADDLE_INIT_NICS - value: "xgbe0" - - name: PADDLE_INIT_TRAINER_COUNT - value: "1" - - name: PADDLE_INIT_PORTS_NUM - value: "1" - - name: PADDLE_INIT_PORTS_NUM_FOR_SPARSE - value: "1" - - name: PADDLE_INIT_NUM_GRADIENT_SERVERS - value: "4" - - name: PADDLE_INIT_NUM_PASSES - value: "1" - - name: PADDLE_INIT_USE_GPU - value: "0" - - name: LD_LIBRARY_PATH - value: "/usr/local/nvidia/lib64" - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: "metadata.namespace" - command: ["paddle_k8s", "start_pserver"] - resources: - requests: - memory: 2Gi - cpu: 1 - limits: - memory: 2Gi - cpu: 1 - diff --git a/k8s/raw_job/train.py b/k8s/raw_job/train.py deleted file mode 100644 index d99c2b4b..00000000 --- a/k8s/raw_job/train.py +++ /dev/null @@ -1,153 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -from PIL import Image -import numpy as np -import paddle.v2 as paddle - -with_gpu = os.getenv('WITH_GPU', '0') != '0' - - -def softmax_regression(img): - predict = paddle.layer.fc(input=img, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def multilayer_perceptron(img): - # The first fully-connected layer - hidden1 = paddle.layer.fc(input=img, - size=128, - act=paddle.activation.Relu()) - # The second fully-connected layer and the according activation function - hidden2 = paddle.layer.fc(input=hidden1, - size=64, - act=paddle.activation.Relu()) - # The thrid fully-connected layer, note that the hidden size should be 10, - # which is the number of unique digits - predict = paddle.layer.fc(input=hidden2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def convolutional_neural_network(img): - # first conv layer - conv_pool_1 = paddle.networks.simple_img_conv_pool( - input=img, - filter_size=5, - num_filters=20, - num_channel=1, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # second conv layer - conv_pool_2 = paddle.networks.simple_img_conv_pool( - input=conv_pool_1, - filter_size=5, - num_filters=50, - num_channel=20, - pool_size=2, - pool_stride=2, - act=paddle.activation.Relu()) - # fully-connected layer - predict = paddle.layer.fc(input=conv_pool_2, - size=10, - act=paddle.activation.Softmax()) - return predict - - -def main(): - paddle.init(use_gpu=with_gpu, trainer_count=1) - - # define network topology - images = paddle.layer.data( - name='pixel', type=paddle.data_type.dense_vector(784)) - label = paddle.layer.data( - name='label', type=paddle.data_type.integer_value(10)) - - # Here we can build the prediction network in different ways. Please - # choose one by uncomment corresponding line. - # predict = softmax_regression(images) - # predict = multilayer_perceptron(images) - predict = convolutional_neural_network(images) - - cost = paddle.layer.classification_cost(input=predict, label=label) - - parameters = paddle.parameters.create(cost) - - optimizer = paddle.optimizer.Momentum( - learning_rate=0.1 / 128.0, - momentum=0.9, - regularization=paddle.optimizer.L2Regularization(rate=0.0005 * 128)) - - trainer = paddle.trainer.SGD(cost=cost, - parameters=parameters, - update_equation=optimizer, - is_local=False) - - lists = [] - - def event_handler(event): - if isinstance(event, paddle.event.EndIteration): - if event.batch_id % 100 == 0: - print "Pass %d, Batch %d, Cost %f, %s" % ( - event.pass_id, event.batch_id, event.cost, event.metrics) - if isinstance(event, paddle.event.EndPass): - # save parameters - with open('params_pass_%d.tar' % event.pass_id, 'w') as f: - trainer.save_parameter_to_tar(f) - - result = trainer.test(reader=paddle.batch( - paddle.dataset.mnist.test(), batch_size=128)) - print "Test with Pass %d, Cost %f, %s\n" % ( - event.pass_id, result.cost, result.metrics) - lists.append((event.pass_id, result.cost, - result.metrics['classification_error_evaluator'])) - - trainer.train( - reader=paddle.batch( - paddle.reader.shuffle( - paddle.dataset.mnist.train(), buf_size=8192), - batch_size=128), - event_handler=event_handler, - num_passes=5) - - # find the best pass - best = sorted(lists, key=lambda list: float(list[1]))[0] - print 'Best pass is %s, testing Avgcost is %s' % (best[0], best[1]) - print 'The classification accuracy is %.2f%%' % ( - 100 - float(best[2]) * 100) - - def load_image(file): - im = Image.open(file).convert('L') - im = im.resize((28, 28), Image.ANTIALIAS) - im = np.array(im).astype(np.float32).flatten() - im = im / 255.0 * 2.0 - 1.0 - return im - - test_data = [] - cur_dir = os.path.dirname(os.path.realpath(__file__)) - test_data.append((load_image(cur_dir + '/image/infer_3.png'), )) - - probs = paddle.infer( - output_layer=predict, parameters=parameters, input=test_data) - lab = np.argsort(-probs) # probs and lab are the results of one batch data - print "Label of image/infer_3.png is: %d" % lab[0][0] - - -if __name__ == '__main__': - main() diff --git a/k8s/raw_job/trainer.yaml b/k8s/raw_job/trainer.yaml deleted file mode 100644 index 8c5aee2b..00000000 --- a/k8s/raw_job/trainer.yaml +++ /dev/null @@ -1,65 +0,0 @@ -apiVersion: batch/v1 -kind: Job -metadata: - name: rawjob-trainer -spec: - parallelism: 4 - completions: 4 - template: - metadata: - labels: - paddle-job: rawjob - spec: - imagePullSecrets: - - name: job-registry-secret - hostNetwork: true - containers: - - name: trainer - image: "yourimage" - imagePullPolicy: Always - command: ["paddle_k8s", "start_trainer", "v2"] - env: - - name: PADDLE_JOB_NAME - value: rawjob - - name: TRAINERS - value: "4" - - name: PSERVERS - value: "4" - - name: TOPOLOGY - value: "" - - name: ENTRY - value: "cd /workspace && python train.py" - - name: TRAINER_PACKAGE - value: "/workspace" - - name: PADDLE_INIT_PORT - value: "30487" - - name: PADDLE_INIT_NICS - value: "xgbe0" - - name: PADDLE_INIT_TRAINER_COUNT - value: "1" - - name: PADDLE_INIT_PORTS_NUM - value: "1" - - name: PADDLE_INIT_PORTS_NUM_FOR_SPARSE - value: "1" - - name: PADDLE_INIT_NUM_GRADIENT_SERVERS - value: "4" - - name: PADDLE_INIT_NUM_PASSES - value: "1" - - name: PADDLE_INIT_USE_GPU - value: "0" - - name: LD_LIBRARY_PATH - value: "/usr/local/nvidia/lib64" - - name: NAMESPACE - valueFrom: - fieldRef: - fieldPath: "metadata.namespace" - resources: - requests: - memory: 1Gi - cpu: 1 - limits: - memory: 1Gi - cpu: 1 - #alpha.kubernetes.io/nvidia-gpu: 1 - restartPolicy: Never - diff --git a/go/edl/autoscaler.go b/pkg/autoscaler.go similarity index 99% rename from go/edl/autoscaler.go rename to pkg/autoscaler.go index a98198e9..52b0cef1 100644 --- a/go/edl/autoscaler.go +++ b/pkg/autoscaler.go @@ -23,8 +23,8 @@ import ( batchv1 "k8s.io/api/batch/v1" "k8s.io/apimachinery/pkg/api/resource" - edlresource "github.com/PaddlePaddle/cloud/go/edl/resource" log "github.com/inconshreveable/log15" + edlresource "github.com/paddlepaddle/edl/pkg/resource" ) const ( diff --git a/go/edl/autoscaler_internal_test.go b/pkg/autoscaler_internal_test.go similarity index 99% rename from go/edl/autoscaler_internal_test.go rename to pkg/autoscaler_internal_test.go index 0d6cd3ac..8df81e58 100644 --- a/go/edl/autoscaler_internal_test.go +++ b/pkg/autoscaler_internal_test.go @@ -21,7 +21,7 @@ import ( "k8s.io/api/core/v1" "k8s.io/apimachinery/pkg/api/resource" - edlresource "github.com/PaddlePaddle/cloud/go/edl/resource" + edlresource "github.com/paddlepaddle/edl/pkg/resource" "github.com/stretchr/testify/assert" ) diff --git a/go/edl/autoscaler_test.go b/pkg/autoscaler_test.go similarity index 100% rename from go/edl/autoscaler_test.go rename to pkg/autoscaler_test.go diff --git a/go/edl/cluster.go b/pkg/cluster.go similarity index 99% rename from go/edl/cluster.go rename to pkg/cluster.go index dd9cdc21..21844735 100644 --- a/go/edl/cluster.go +++ b/pkg/cluster.go @@ -17,7 +17,7 @@ package edl import ( "fmt" - edlresource "github.com/PaddlePaddle/cloud/go/edl/resource" + edlresource "github.com/paddlepaddle/edl/pkg/resource" batchv1 "k8s.io/api/batch/v1" "k8s.io/api/core/v1" "k8s.io/api/extensions/v1beta1" diff --git a/go/edl/controller.go b/pkg/controller.go similarity index 98% rename from go/edl/controller.go rename to pkg/controller.go index 9f729e8e..cd00868e 100644 --- a/go/edl/controller.go +++ b/pkg/controller.go @@ -37,7 +37,7 @@ import ( "k8s.io/client-go/rest" "k8s.io/client-go/tools/cache" - edlresource "github.com/PaddlePaddle/cloud/go/edl/resource" + edlresource "github.com/paddlepaddle/edl/pkg/resource" ) // Controller for dispatching TrainingJob resource. diff --git a/go/edl/jobparser.go b/pkg/jobparser.go similarity index 99% rename from go/edl/jobparser.go rename to pkg/jobparser.go index ae1a8c13..0f7e2805 100644 --- a/go/edl/jobparser.go +++ b/pkg/jobparser.go @@ -19,7 +19,7 @@ import ( "fmt" "strconv" - edlresource "github.com/PaddlePaddle/cloud/go/edl/resource" + edlresource "github.com/paddlepaddle/edl/pkg/resource" batchv1 "k8s.io/api/batch/v1" "k8s.io/api/core/v1" v1beta1 "k8s.io/api/extensions/v1beta1" diff --git a/go/edl/resource/deepcopy_gen.sh b/pkg/resource/deepcopy_gen.sh similarity index 100% rename from go/edl/resource/deepcopy_gen.sh rename to pkg/resource/deepcopy_gen.sh diff --git a/go/edl/resource/training_job.go b/pkg/resource/training_job.go similarity index 100% rename from go/edl/resource/training_job.go rename to pkg/resource/training_job.go diff --git a/go/edl/resource/training_job_test.go b/pkg/resource/training_job_test.go similarity index 95% rename from go/edl/resource/training_job_test.go rename to pkg/resource/training_job_test.go index f81d608e..a3dade55 100644 --- a/go/edl/resource/training_job_test.go +++ b/pkg/resource/training_job_test.go @@ -20,7 +20,7 @@ import ( "k8s.io/api/core/v1" "k8s.io/apimachinery/pkg/api/resource" - edlresource "github.com/PaddlePaddle/cloud/go/edl/resource" + edlresource "github.com/paddlepaddle/edl/pkg/resource" "github.com/stretchr/testify/assert" ) diff --git a/go/edl/resource/zz_generated.deepcopy.go b/pkg/resource/zz_generated.deepcopy.go similarity index 100% rename from go/edl/resource/zz_generated.deepcopy.go rename to pkg/resource/zz_generated.deepcopy.go diff --git a/go/edl/trainingjober.go b/pkg/trainingjober.go similarity index 98% rename from go/edl/trainingjober.go rename to pkg/trainingjober.go index bc37e9a8..476e0b30 100644 --- a/go/edl/trainingjober.go +++ b/pkg/trainingjober.go @@ -18,8 +18,8 @@ import ( "fmt" "time" - edlresource "github.com/PaddlePaddle/cloud/go/edl/resource" log "github.com/inconshreveable/log15" + edlresource "github.com/paddlepaddle/edl/pkg/resource" ) const ( diff --git a/go/edl/utils.go b/pkg/utils.go similarity index 100% rename from go/edl/utils.go rename to pkg/utils.go diff --git a/go/edl/utils_test.go b/pkg/utils_test.go similarity index 100% rename from go/edl/utils_test.go rename to pkg/utils_test.go diff --git a/python/paddlecloud/.babelrc b/python/paddlecloud/.babelrc deleted file mode 100644 index 268b852a..00000000 --- a/python/paddlecloud/.babelrc +++ /dev/null @@ -1,10 +0,0 @@ -{ - "presets": [ - "es2015", - "stage-1" - ], - "ignore": [ - "node_modules/", - "dist/" - ] -} diff --git a/python/paddlecloud/.eslintrc.json b/python/paddlecloud/.eslintrc.json deleted file mode 100644 index b175803c..00000000 --- a/python/paddlecloud/.eslintrc.json +++ /dev/null @@ -1,44 +0,0 @@ -{ - "env": { - "browser": true, - "commonjs": true, - "es6": true - }, - "extends": "eslint:recommended", - "parserOptions": { - "ecmaFeatures": { - "experimentalObjectRestSpread": true - }, - "sourceType": "module" - }, - "plugins": [ - "babel" - ], - "rules": { - "linebreak-style": [ - "error", - "unix" - ], - "quotes": [ - "warn", - "single" - ], - "semi": [ - "warn", - "always" - ], - "brace-style": 1, - "no-console": 1, - "no-multi-spaces": 1, - "no-negated-condition": 1, - "no-undef": 0, - "no-unused-vars": 1, - "prefer-template": 1, - "array-bracket-spacing": 0, - "babel/array-bracket-spacing": 1, - "object-curly-spacing": 0, - "object-shorthand": 0, - "arrow-parens": 0, - "babel/arrow-parens": 0 - } -} diff --git a/python/paddlecloud/.gitignore b/python/paddlecloud/.gitignore deleted file mode 100644 index 51dcedc1..00000000 --- a/python/paddlecloud/.gitignore +++ /dev/null @@ -1,10 +0,0 @@ -*.pyc -node_modules/ -dev.db -site_media/ -static/dist/ -*.crt -*.key -*.db -*.csr -paddlecloud.key.org diff --git a/python/paddlecloud/CONTRIBUTING.md b/python/paddlecloud/CONTRIBUTING.md deleted file mode 100644 index 10734072..00000000 --- a/python/paddlecloud/CONTRIBUTING.md +++ /dev/null @@ -1,3 +0,0 @@ -# How to Contribute - -Please check out the Pinax Docs [How to Contribute](http://pinaxproject.com/pinax/how_to_contribute/) guide. diff --git a/python/paddlecloud/Dockerfile b/python/paddlecloud/Dockerfile deleted file mode 100644 index b1b6d5ec..00000000 --- a/python/paddlecloud/Dockerfile +++ /dev/null @@ -1,13 +0,0 @@ -FROM python:2.7.13-alpine -RUN apk add --update nodejs openssl gcc mysql-dev musl-dev linux-headers mailx - -ADD ./ /pcloud -RUN cd /pcloud && \ -rm -rf node_modules && npm run clean && \ -npm install && pip install -r requirements.txt && npm run build && \ -npm run copy:fonts && npm run copy:images && npm run copy:fonts && npm run copy:images && \ -npm run optimize -WORKDIR /pcloud - -# TODO -CMD ["sh", "-c", "sleep 60 ; ./manage.py migrate; ./manage.py loaddata sites; ./manage.py runserver 0.0.0.0:$PORT"] diff --git a/python/paddlecloud/fixtures/sites.json b/python/paddlecloud/fixtures/sites.json deleted file mode 100644 index bda24f81..00000000 --- a/python/paddlecloud/fixtures/sites.json +++ /dev/null @@ -1,18 +0,0 @@ -[ - { - "pk": 1, - "model": "sites.site", - "fields": { - "domain": "localhost:8000", - "name": "example.com [localhost]" - } - }, - { - "pk": 2, - "model": "sites.site", - "fields": { - "domain": "example.com", - "name": "example.com" - } - } -] diff --git a/python/paddlecloud/manage.py b/python/paddlecloud/manage.py deleted file mode 100755 index 9dd1966c..00000000 --- a/python/paddlecloud/manage.py +++ /dev/null @@ -1,11 +0,0 @@ -#!/usr/bin/env python - -import os -import sys - -if __name__ == "__main__": - os.environ.setdefault("DJANGO_SETTINGS_MODULE", "paddlecloud.settings") - - from django.core.management import execute_from_command_line - - execute_from_command_line(sys.argv) diff --git a/python/paddlecloud/notebook/__init__.py b/python/paddlecloud/notebook/__init__.py deleted file mode 100644 index eca2dce1..00000000 --- a/python/paddlecloud/notebook/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. diff --git a/python/paddlecloud/notebook/admin.py b/python/paddlecloud/notebook/admin.py deleted file mode 100644 index b1f6482c..00000000 --- a/python/paddlecloud/notebook/admin.py +++ /dev/null @@ -1,26 +0,0 @@ -# -*- coding: utf-8 -*- -from __future__ import unicode_literals - -from django.contrib import admin -from django.contrib.auth.admin import UserAdmin as BaseUserAdmin -from django.contrib.auth.models import User - -from notebook.models import PaddleUser - - -# Define an inline admin descriptor for PaddleUser model -# which acts a bit like a singleton -class PaddleUserInline(admin.StackedInline): - model = PaddleUser - can_delete = False - verbose_name_plural = 'PaddleUser' - - -# Define a new User admin -class UserAdmin(BaseUserAdmin): - inlines = (PaddleUserInline, ) - - -# Re-register UserAdmin -admin.site.unregister(User) -admin.site.register(User, UserAdmin) diff --git a/python/paddlecloud/notebook/apps.py b/python/paddlecloud/notebook/apps.py deleted file mode 100644 index 48601ce0..00000000 --- a/python/paddlecloud/notebook/apps.py +++ /dev/null @@ -1,8 +0,0 @@ -# -*- coding: utf-8 -*- -from __future__ import unicode_literals - -from django.apps import AppConfig - - -class NotebookConfig(AppConfig): - name = 'notebook' diff --git a/python/paddlecloud/notebook/forms.py b/python/paddlecloud/notebook/forms.py deleted file mode 100644 index e58363b0..00000000 --- a/python/paddlecloud/notebook/forms.py +++ /dev/null @@ -1,44 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from django import forms -from django.forms.extras.widgets import SelectDateWidget - -import account.forms - - -class SignupForm(account.forms.SignupForm): - def __init__(self, *args, **kwargs): - super(SignupForm, self).__init__(*args, **kwargs) - del self.fields["username"] - self.fields.keyOrder = [ - 'email', 'password', 'password_confirm', 'school', 'studentID', - 'major', 'code' - ] - - school = forms.CharField(max_length=256) - studentID = forms.CharField(max_length=512) - major = forms.CharField(max_length=256) - - -class SettingsForm(account.forms.SettingsForm): - def __init__(self, *args, **kwargs): - super(SettingsForm, self).__init__(*args, **kwargs) - instance = getattr(self, 'instance', None) - if instance and instance.pk: - self.fields['email'].widget.attrs['readonly'] = True - - school = forms.CharField(max_length=256) - studentID = forms.CharField(max_length=512) - major = forms.CharField(max_length=256) diff --git a/python/paddlecloud/notebook/migrations/0001_initial.py b/python/paddlecloud/notebook/migrations/0001_initial.py deleted file mode 100644 index 8e31da2a..00000000 --- a/python/paddlecloud/notebook/migrations/0001_initial.py +++ /dev/null @@ -1,34 +0,0 @@ -# -*- coding: utf-8 -*- -# Generated by Django 1.11 on 2017-04-26 02:58 -from __future__ import unicode_literals - -from django.conf import settings -from django.db import migrations, models -import django.db.models.deletion - - -class Migration(migrations.Migration): - - initial = True - - dependencies = [ - migrations.swappable_dependency(settings.AUTH_USER_MODEL), - ] - - operations = [ - migrations.CreateModel( - name='PaddleUser', - fields=[ - ('id', models.AutoField( - auto_created=True, - primary_key=True, - serialize=False, - verbose_name='ID')), - ('school', models.CharField(max_length=256)), - ('studentID', models.CharField(max_length=512)), - ('major', models.CharField(max_length=256)), - ('user', models.OneToOneField( - on_delete=django.db.models.deletion.CASCADE, - to=settings.AUTH_USER_MODEL)), - ], ), - ] diff --git a/python/paddlecloud/notebook/migrations/__init__.py b/python/paddlecloud/notebook/migrations/__init__.py deleted file mode 100644 index eca2dce1..00000000 --- a/python/paddlecloud/notebook/migrations/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. diff --git a/python/paddlecloud/notebook/models.py b/python/paddlecloud/notebook/models.py deleted file mode 100644 index e49b0a89..00000000 --- a/python/paddlecloud/notebook/models.py +++ /dev/null @@ -1,19 +0,0 @@ -# -*- coding: utf-8 -*- -from __future__ import unicode_literals - -from django.db import models -from django.contrib.auth.models import User - - -class PaddleUser(models.Model): - user = models.OneToOneField(User, on_delete=models.CASCADE) - school = models.CharField(max_length=256) - studentID = models.CharField(max_length=512) - major = models.CharField(max_length=256) - - -class FilePublish(models.Model): - path = models.CharField(max_length=4096) - url = models.CharField(max_length=4096) - uuid = models.CharField(max_length=256) - user = models.ForeignKey(User) diff --git a/python/paddlecloud/notebook/static/css/home.css b/python/paddlecloud/notebook/static/css/home.css deleted file mode 100644 index 087d78ff..00000000 --- a/python/paddlecloud/notebook/static/css/home.css +++ /dev/null @@ -1,2808 +0,0 @@ -/*! - * Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome - * License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License) - */ -/* FONT PATH - * -------------------------- */ -@font-face { - font-family: 'FontAwesome'; - src: 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) 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#fontawesomeregular) format('svg'); - font-weight: normal; - font-style: normal; -} -.fa { - display: inline-block; - font: normal normal normal 14px/1 FontAwesome; - font-size: inherit; - text-rendering: auto; - -webkit-font-smoothing: antialiased; - -moz-osx-font-smoothing: grayscale; -} -/* makes the font 33% larger relative to the icon container */ -.fa-lg { - font-size: 1.33333333em; - line-height: 0.75em; - vertical-align: -15%; -} -.fa-2x { - font-size: 2em; -} -.fa-3x { - font-size: 3em; -} -.fa-4x { - font-size: 4em; -} -.fa-5x { - font-size: 5em; -} -.fa-fw { - width: 1.28571429em; - text-align: center; -} -.fa-ul { - padding-left: 0; - margin-left: 2.14285714em; - list-style-type: none; -} -.fa-ul > li { - position: relative; -} -.fa-li { - position: absolute; - left: -2.14285714em; - width: 2.14285714em; - top: 0.14285714em; - text-align: center; -} -.fa-li.fa-lg { - left: -1.85714286em; -} -.fa-border { - padding: .2em .25em .15em; - border: solid 0.08em #eee; - border-radius: .1em; -} -.fa-pull-left { - float: left; -} -.fa-pull-right { - float: right; -} -.fa.fa-pull-left { - margin-right: .3em; -} -.fa.fa-pull-right { - margin-left: .3em; -} -/* Deprecated as of 4.4.0 */ -.pull-right { - float: right; -} -.pull-left { - float: left; -} -.fa.pull-left { - margin-right: .3em; -} -.fa.pull-right { - margin-left: .3em; -} -.fa-spin { - -webkit-animation: fa-spin 2s infinite linear; - animation: fa-spin 2s infinite linear; -} -.fa-pulse { - -webkit-animation: fa-spin 1s infinite steps(8); - animation: fa-spin 1s infinite steps(8); -} -@-webkit-keyframes fa-spin { - 0% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); - } - 100% { - -webkit-transform: rotate(359deg); - transform: rotate(359deg); - } -} -@keyframes fa-spin { - 0% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); - } - 100% { - -webkit-transform: rotate(359deg); - transform: rotate(359deg); - } -} -.fa-rotate-90 { - -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)"; - -webkit-transform: rotate(90deg); - -ms-transform: rotate(90deg); - transform: rotate(90deg); -} -.fa-rotate-180 { - -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)"; - -webkit-transform: rotate(180deg); - -ms-transform: rotate(180deg); - transform: rotate(180deg); -} -.fa-rotate-270 { - -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)"; - -webkit-transform: rotate(270deg); - -ms-transform: rotate(270deg); - transform: rotate(270deg); -} -.fa-flip-horizontal { - -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)"; - -webkit-transform: scale(-1, 1); - -ms-transform: scale(-1, 1); - transform: scale(-1, 1); -} -.fa-flip-vertical { - -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)"; - -webkit-transform: scale(1, -1); - -ms-transform: scale(1, -1); - transform: scale(1, -1); -} -:root .fa-rotate-90, -:root .fa-rotate-180, -:root .fa-rotate-270, -:root .fa-flip-horizontal, -:root .fa-flip-vertical { - filter: none; -} -.fa-stack { - position: relative; - display: inline-block; - width: 2em; - height: 2em; - line-height: 2em; - vertical-align: middle; -} -.fa-stack-1x, -.fa-stack-2x { - position: absolute; - left: 0; - width: 100%; - text-align: center; -} -.fa-stack-1x { - line-height: inherit; -} -.fa-stack-2x { - font-size: 2em; -} -.fa-inverse { - color: #fff; -} -/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen - readers do not read off random characters that represent icons */ -.fa-glass:before { - content: "\F000"; -} -.fa-music:before { - content: "\F001"; -} -.fa-search:before { - content: "\F002"; -} -.fa-envelope-o:before { - content: "\F003"; -} -.fa-heart:before { - content: "\F004"; -} -.fa-star:before { - content: "\F005"; -} -.fa-star-o:before { - content: "\F006"; -} -.fa-user:before { - content: "\F007"; -} -.fa-film:before { - content: "\F008"; -} -.fa-th-large:before { - content: "\F009"; -} -.fa-th:before { - content: "\F00A"; -} -.fa-th-list:before { - content: "\F00B"; -} -.fa-check:before { - content: "\F00C"; -} -.fa-remove:before, -.fa-close:before, -.fa-times:before { - content: "\F00D"; -} -.fa-search-plus:before { - content: "\F00E"; -} -.fa-search-minus:before { - content: "\F010"; -} -.fa-power-off:before { - content: "\F011"; -} -.fa-signal:before { - content: "\F012"; -} -.fa-gear:before, -.fa-cog:before { - content: "\F013"; -} -.fa-trash-o:before { - content: "\F014"; -} -.fa-home:before { - content: "\F015"; -} -.fa-file-o:before { - content: "\F016"; -} -.fa-clock-o:before { - content: "\F017"; -} -.fa-road:before { - content: "\F018"; -} -.fa-download:before { - content: "\F019"; -} -.fa-arrow-circle-o-down:before { - content: "\F01A"; -} -.fa-arrow-circle-o-up:before { - content: "\F01B"; -} -.fa-inbox:before { - content: "\F01C"; -} -.fa-play-circle-o:before { - content: "\F01D"; -} -.fa-rotate-right:before, -.fa-repeat:before { - content: "\F01E"; -} -.fa-refresh:before { - content: "\F021"; -} -.fa-list-alt:before { - content: "\F022"; -} -.fa-lock:before { - content: "\F023"; -} -.fa-flag:before { - content: "\F024"; -} -.fa-headphones:before { - content: "\F025"; -} -.fa-volume-off:before { - content: "\F026"; -} -.fa-volume-down:before { - content: "\F027"; -} -.fa-volume-up:before { - content: "\F028"; -} -.fa-qrcode:before { - content: "\F029"; -} -.fa-barcode:before { - content: "\F02A"; -} -.fa-tag:before { - content: "\F02B"; -} -.fa-tags:before { - content: "\F02C"; -} -.fa-book:before { - content: "\F02D"; -} -.fa-bookmark:before { - content: "\F02E"; -} -.fa-print:before { - content: "\F02F"; -} -.fa-camera:before { - content: "\F030"; -} -.fa-font:before { - content: "\F031"; -} -.fa-bold:before { - content: "\F032"; -} -.fa-italic:before { - content: "\F033"; -} -.fa-text-height:before { - content: "\F034"; -} -.fa-text-width:before { - content: "\F035"; -} -.fa-align-left:before { - content: "\F036"; -} -.fa-align-center:before { - content: "\F037"; -} -.fa-align-right:before { - content: "\F038"; -} -.fa-align-justify:before { - content: "\F039"; -} -.fa-list:before { - content: "\F03A"; -} -.fa-dedent:before, -.fa-outdent:before { - content: "\F03B"; -} -.fa-indent:before { - content: "\F03C"; -} -.fa-video-camera:before { - content: "\F03D"; -} -.fa-photo:before, -.fa-image:before, -.fa-picture-o:before { - content: "\F03E"; -} -.fa-pencil:before { - content: "\F040"; -} -.fa-map-marker:before { - content: "\F041"; -} -.fa-adjust:before { - content: "\F042"; -} -.fa-tint:before { - content: "\F043"; -} -.fa-edit:before, -.fa-pencil-square-o:before { - content: "\F044"; -} -.fa-share-square-o:before { - content: "\F045"; -} -.fa-check-square-o:before { - content: "\F046"; -} -.fa-arrows:before { - content: "\F047"; -} -.fa-step-backward:before { - content: "\F048"; -} -.fa-fast-backward:before { - content: "\F049"; -} -.fa-backward:before { - content: "\F04A"; -} -.fa-play:before { - content: "\F04B"; -} -.fa-pause:before { - content: "\F04C"; -} -.fa-stop:before { - content: "\F04D"; -} -.fa-forward:before { - content: "\F04E"; -} -.fa-fast-forward:before { - content: "\F050"; -} -.fa-step-forward:before { - content: "\F051"; -} -.fa-eject:before { - content: "\F052"; -} -.fa-chevron-left:before { - content: "\F053"; -} -.fa-chevron-right:before { - content: "\F054"; -} -.fa-plus-circle:before { - content: "\F055"; -} -.fa-minus-circle:before { - content: "\F056"; -} -.fa-times-circle:before { - content: "\F057"; -} -.fa-check-circle:before { - content: "\F058"; -} -.fa-question-circle:before { - content: "\F059"; -} -.fa-info-circle:before { - content: "\F05A"; -} -.fa-crosshairs:before { - content: "\F05B"; -} -.fa-times-circle-o:before { - content: "\F05C"; -} -.fa-check-circle-o:before { - content: "\F05D"; -} -.fa-ban:before { - content: "\F05E"; -} -.fa-arrow-left:before { - content: "\F060"; -} -.fa-arrow-right:before { - content: "\F061"; -} -.fa-arrow-up:before { - content: "\F062"; -} -.fa-arrow-down:before { - content: "\F063"; -} -.fa-mail-forward:before, -.fa-share:before { - content: "\F064"; -} -.fa-expand:before { - content: "\F065"; -} -.fa-compress:before { - content: "\F066"; -} -.fa-plus:before { - content: "\F067"; -} -.fa-minus:before { - content: "\F068"; -} -.fa-asterisk:before { - content: "\F069"; -} -.fa-exclamation-circle:before { - content: "\F06A"; -} -.fa-gift:before { - content: "\F06B"; -} -.fa-leaf:before { - content: "\F06C"; -} -.fa-fire:before { - content: "\F06D"; -} -.fa-eye:before { - content: "\F06E"; -} -.fa-eye-slash:before { - content: "\F070"; -} -.fa-warning:before, -.fa-exclamation-triangle:before { - content: "\F071"; -} -.fa-plane:before { - content: "\F072"; -} -.fa-calendar:before { - content: "\F073"; -} -.fa-random:before { - content: "\F074"; -} -.fa-comment:before { - content: "\F075"; -} -.fa-magnet:before { - content: "\F076"; -} -.fa-chevron-up:before { - content: "\F077"; -} -.fa-chevron-down:before { - content: "\F078"; -} -.fa-retweet:before { - content: "\F079"; -} -.fa-shopping-cart:before { - content: "\F07A"; -} -.fa-folder:before { - content: "\F07B"; -} -.fa-folder-open:before { - content: "\F07C"; -} -.fa-arrows-v:before { - content: "\F07D"; -} -.fa-arrows-h:before { - content: "\F07E"; -} -.fa-bar-chart-o:before, -.fa-bar-chart:before { - content: "\F080"; -} -.fa-twitter-square:before { - content: "\F081"; -} -.fa-facebook-square:before { - content: "\F082"; -} -.fa-camera-retro:before { - content: "\F083"; -} -.fa-key:before { - content: "\F084"; -} -.fa-gears:before, -.fa-cogs:before { - content: "\F085"; -} -.fa-comments:before { - content: "\F086"; -} -.fa-thumbs-o-up:before { - content: "\F087"; -} -.fa-thumbs-o-down:before { - content: "\F088"; -} -.fa-star-half:before { - content: "\F089"; -} -.fa-heart-o:before { - content: "\F08A"; -} -.fa-sign-out:before { - content: "\F08B"; -} -.fa-linkedin-square:before { - content: "\F08C"; -} -.fa-thumb-tack:before { - content: "\F08D"; -} -.fa-external-link:before { - content: "\F08E"; -} -.fa-sign-in:before { - content: "\F090"; -} -.fa-trophy:before { - content: "\F091"; -} -.fa-github-square:before { - content: "\F092"; -} -.fa-upload:before { - content: "\F093"; -} -.fa-lemon-o:before { - content: "\F094"; -} -.fa-phone:before { - content: "\F095"; -} -.fa-square-o:before { - content: "\F096"; -} -.fa-bookmark-o:before { - content: "\F097"; -} -.fa-phone-square:before { - content: "\F098"; -} -.fa-twitter:before { - content: "\F099"; -} -.fa-facebook-f:before, -.fa-facebook:before { - content: "\F09A"; -} -.fa-github:before { - content: "\F09B"; -} -.fa-unlock:before { - content: "\F09C"; -} -.fa-credit-card:before { - content: "\F09D"; -} -.fa-feed:before, -.fa-rss:before { - content: "\F09E"; -} -.fa-hdd-o:before { - content: "\F0A0"; -} -.fa-bullhorn:before { - content: "\F0A1"; -} -.fa-bell:before { - content: "\F0F3"; -} -.fa-certificate:before { - content: "\F0A3"; -} -.fa-hand-o-right:before { - content: "\F0A4"; -} -.fa-hand-o-left:before { - content: "\F0A5"; -} -.fa-hand-o-up:before { - content: "\F0A6"; -} -.fa-hand-o-down:before { - content: "\F0A7"; -} -.fa-arrow-circle-left:before { - content: "\F0A8"; -} -.fa-arrow-circle-right:before { - content: "\F0A9"; -} -.fa-arrow-circle-up:before { - content: "\F0AA"; -} -.fa-arrow-circle-down:before { - content: "\F0AB"; -} -.fa-globe:before { - content: "\F0AC"; -} -.fa-wrench:before { - content: "\F0AD"; -} -.fa-tasks:before { - content: "\F0AE"; -} -.fa-filter:before { - content: "\F0B0"; -} -.fa-briefcase:before { - content: "\F0B1"; -} -.fa-arrows-alt:before { - content: "\F0B2"; -} -.fa-group:before, -.fa-users:before { - content: "\F0C0"; -} -.fa-chain:before, -.fa-link:before { - content: "\F0C1"; -} -.fa-cloud:before { - content: "\F0C2"; -} -.fa-flask:before { - content: "\F0C3"; -} -.fa-cut:before, -.fa-scissors:before { - content: "\F0C4"; -} -.fa-copy:before, -.fa-files-o:before { - content: "\F0C5"; -} -.fa-paperclip:before { - content: "\F0C6"; -} -.fa-save:before, -.fa-floppy-o:before { - content: "\F0C7"; -} -.fa-square:before { - content: "\F0C8"; -} -.fa-navicon:before, -.fa-reorder:before, -.fa-bars:before { - content: "\F0C9"; -} -.fa-list-ul:before { - content: "\F0CA"; -} -.fa-list-ol:before { - content: "\F0CB"; -} -.fa-strikethrough:before { - content: "\F0CC"; -} -.fa-underline:before { - content: "\F0CD"; -} -.fa-table:before { - content: "\F0CE"; -} -.fa-magic:before { - content: "\F0D0"; -} -.fa-truck:before { - content: "\F0D1"; -} -.fa-pinterest:before { - content: "\F0D2"; -} -.fa-pinterest-square:before { - content: "\F0D3"; -} -.fa-google-plus-square:before { - content: "\F0D4"; -} -.fa-google-plus:before { - content: "\F0D5"; -} -.fa-money:before { - content: "\F0D6"; -} -.fa-caret-down:before { - content: "\F0D7"; -} -.fa-caret-up:before { - content: "\F0D8"; -} -.fa-caret-left:before { - content: "\F0D9"; -} -.fa-caret-right:before { - content: "\F0DA"; -} -.fa-columns:before { - content: "\F0DB"; -} -.fa-unsorted:before, -.fa-sort:before { - content: "\F0DC"; -} -.fa-sort-down:before, -.fa-sort-desc:before { - content: "\F0DD"; -} -.fa-sort-up:before, -.fa-sort-asc:before { - content: "\F0DE"; -} -.fa-envelope:before { - content: "\F0E0"; -} -.fa-linkedin:before { - content: "\F0E1"; -} -.fa-rotate-left:before, -.fa-undo:before { - content: "\F0E2"; -} -.fa-legal:before, -.fa-gavel:before { - content: "\F0E3"; -} -.fa-dashboard:before, -.fa-tachometer:before { - content: "\F0E4"; -} -.fa-comment-o:before { - content: "\F0E5"; -} -.fa-comments-o:before { - content: "\F0E6"; -} -.fa-flash:before, -.fa-bolt:before { - content: "\F0E7"; -} -.fa-sitemap:before { - content: "\F0E8"; -} -.fa-umbrella:before { - content: "\F0E9"; -} -.fa-paste:before, -.fa-clipboard:before { - content: "\F0EA"; -} -.fa-lightbulb-o:before { - content: "\F0EB"; -} -.fa-exchange:before { - content: "\F0EC"; -} -.fa-cloud-download:before { - content: "\F0ED"; -} -.fa-cloud-upload:before { - content: "\F0EE"; -} -.fa-user-md:before { - content: "\F0F0"; -} -.fa-stethoscope:before { - content: "\F0F1"; -} -.fa-suitcase:before { - content: "\F0F2"; -} -.fa-bell-o:before { - content: "\F0A2"; -} -.fa-coffee:before { - content: "\F0F4"; -} -.fa-cutlery:before { - content: "\F0F5"; -} -.fa-file-text-o:before { - content: "\F0F6"; -} -.fa-building-o:before { - content: "\F0F7"; -} -.fa-hospital-o:before { - content: "\F0F8"; -} -.fa-ambulance:before { - content: "\F0F9"; -} -.fa-medkit:before { - content: "\F0FA"; -} -.fa-fighter-jet:before { - content: "\F0FB"; -} -.fa-beer:before { - content: "\F0FC"; -} -.fa-h-square:before { - content: "\F0FD"; -} -.fa-plus-square:before { - content: "\F0FE"; -} -.fa-angle-double-left:before { - content: "\F100"; -} -.fa-angle-double-right:before { - content: "\F101"; -} -.fa-angle-double-up:before { - content: "\F102"; -} -.fa-angle-double-down:before { - content: "\F103"; -} -.fa-angle-left:before { - content: "\F104"; -} -.fa-angle-right:before { - content: "\F105"; -} -.fa-angle-up:before { - content: "\F106"; -} -.fa-angle-down:before { - content: "\F107"; -} -.fa-desktop:before { - content: "\F108"; -} -.fa-laptop:before { - content: "\F109"; -} -.fa-tablet:before { - content: "\F10A"; -} -.fa-mobile-phone:before, -.fa-mobile:before { - content: "\F10B"; -} -.fa-circle-o:before { - content: "\F10C"; -} -.fa-quote-left:before { - content: "\F10D"; -} -.fa-quote-right:before { - content: "\F10E"; -} -.fa-spinner:before { - content: "\F110"; -} -.fa-circle:before { - content: "\F111"; -} -.fa-mail-reply:before, -.fa-reply:before { - content: "\F112"; -} -.fa-github-alt:before { - content: "\F113"; -} -.fa-folder-o:before { - content: "\F114"; -} -.fa-folder-open-o:before { - content: "\F115"; -} -.fa-smile-o:before { - content: "\F118"; -} -.fa-frown-o:before { - content: "\F119"; -} -.fa-meh-o:before { - content: "\F11A"; -} -.fa-gamepad:before { - content: "\F11B"; -} -.fa-keyboard-o:before { - content: "\F11C"; -} -.fa-flag-o:before { - content: "\F11D"; -} -.fa-flag-checkered:before { - content: "\F11E"; -} -.fa-terminal:before { - content: "\F120"; -} -.fa-code:before { - content: "\F121"; -} -.fa-mail-reply-all:before, -.fa-reply-all:before { - content: "\F122"; -} -.fa-star-half-empty:before, -.fa-star-half-full:before, -.fa-star-half-o:before { - content: "\F123"; -} -.fa-location-arrow:before { - content: "\F124"; -} -.fa-crop:before { - content: "\F125"; -} -.fa-code-fork:before { - content: "\F126"; -} -.fa-unlink:before, -.fa-chain-broken:before { - content: "\F127"; -} -.fa-question:before { - content: "\F128"; -} -.fa-info:before { - content: "\F129"; -} -.fa-exclamation:before { - content: "\F12A"; -} -.fa-superscript:before { - content: "\F12B"; -} -.fa-subscript:before { - content: "\F12C"; -} -.fa-eraser:before { - content: "\F12D"; -} -.fa-puzzle-piece:before { - content: "\F12E"; -} -.fa-microphone:before { - content: "\F130"; -} -.fa-microphone-slash:before { - content: "\F131"; -} -.fa-shield:before { - content: "\F132"; -} -.fa-calendar-o:before { - content: "\F133"; -} -.fa-fire-extinguisher:before { - content: "\F134"; -} -.fa-rocket:before { - content: "\F135"; -} -.fa-maxcdn:before { - content: "\F136"; -} -.fa-chevron-circle-left:before { - content: "\F137"; -} -.fa-chevron-circle-right:before { - content: "\F138"; -} -.fa-chevron-circle-up:before { - content: "\F139"; -} -.fa-chevron-circle-down:before { - content: "\F13A"; -} -.fa-html5:before { - content: "\F13B"; -} -.fa-css3:before { - content: "\F13C"; -} -.fa-anchor:before { - content: "\F13D"; -} -.fa-unlock-alt:before { - content: "\F13E"; -} -.fa-bullseye:before { - content: "\F140"; -} -.fa-ellipsis-h:before { - content: "\F141"; -} -.fa-ellipsis-v:before { - content: "\F142"; -} -.fa-rss-square:before { - content: "\F143"; -} -.fa-play-circle:before { - content: "\F144"; -} -.fa-ticket:before { - content: "\F145"; -} -.fa-minus-square:before { - content: "\F146"; -} -.fa-minus-square-o:before { - content: "\F147"; -} -.fa-level-up:before { - content: "\F148"; -} -.fa-level-down:before { - content: "\F149"; -} -.fa-check-square:before { - content: "\F14A"; -} -.fa-pencil-square:before { - content: "\F14B"; -} -.fa-external-link-square:before { - content: "\F14C"; -} -.fa-share-square:before { - content: "\F14D"; -} -.fa-compass:before { - content: "\F14E"; -} -.fa-toggle-down:before, -.fa-caret-square-o-down:before { - content: "\F150"; -} -.fa-toggle-up:before, -.fa-caret-square-o-up:before { - content: "\F151"; -} -.fa-toggle-right:before, -.fa-caret-square-o-right:before { - content: "\F152"; -} -.fa-euro:before, -.fa-eur:before { - content: "\F153"; -} -.fa-gbp:before { - content: "\F154"; -} -.fa-dollar:before, -.fa-usd:before { - content: "\F155"; -} -.fa-rupee:before, -.fa-inr:before { - content: "\F156"; -} -.fa-cny:before, -.fa-rmb:before, -.fa-yen:before, -.fa-jpy:before { - content: "\F157"; -} -.fa-ruble:before, -.fa-rouble:before, -.fa-rub:before { - content: "\F158"; -} -.fa-won:before, -.fa-krw:before { - content: "\F159"; -} -.fa-bitcoin:before, -.fa-btc:before { - content: "\F15A"; -} -.fa-file:before { - content: "\F15B"; -} -.fa-file-text:before { - content: "\F15C"; -} -.fa-sort-alpha-asc:before { - content: "\F15D"; -} -.fa-sort-alpha-desc:before { - content: "\F15E"; -} -.fa-sort-amount-asc:before { - content: "\F160"; -} -.fa-sort-amount-desc:before { - content: "\F161"; -} -.fa-sort-numeric-asc:before { - content: "\F162"; -} -.fa-sort-numeric-desc:before { - content: "\F163"; -} -.fa-thumbs-up:before { - content: "\F164"; -} -.fa-thumbs-down:before { - content: "\F165"; -} -.fa-youtube-square:before { - content: "\F166"; -} -.fa-youtube:before { - content: "\F167"; -} -.fa-xing:before { - content: "\F168"; -} -.fa-xing-square:before { - content: "\F169"; -} -.fa-youtube-play:before { - content: "\F16A"; -} -.fa-dropbox:before { - content: "\F16B"; -} -.fa-stack-overflow:before { - content: "\F16C"; -} -.fa-instagram:before { - content: "\F16D"; -} -.fa-flickr:before { - content: "\F16E"; -} -.fa-adn:before { - content: "\F170"; -} -.fa-bitbucket:before { - content: "\F171"; -} -.fa-bitbucket-square:before { - content: "\F172"; -} -.fa-tumblr:before { - content: "\F173"; -} -.fa-tumblr-square:before { - content: "\F174"; -} -.fa-long-arrow-down:before { - content: "\F175"; -} -.fa-long-arrow-up:before { - content: "\F176"; -} -.fa-long-arrow-left:before { - content: "\F177"; -} -.fa-long-arrow-right:before { - content: "\F178"; -} -.fa-apple:before { - content: "\F179"; -} -.fa-windows:before { - content: "\F17A"; -} -.fa-android:before { - content: "\F17B"; -} -.fa-linux:before { - content: "\F17C"; -} -.fa-dribbble:before { - content: "\F17D"; -} -.fa-skype:before { - content: "\F17E"; -} -.fa-foursquare:before { - content: "\F180"; -} -.fa-trello:before { - content: "\F181"; -} -.fa-female:before { - content: "\F182"; -} -.fa-male:before { - content: "\F183"; -} -.fa-gittip:before, -.fa-gratipay:before { - content: "\F184"; -} -.fa-sun-o:before { - content: "\F185"; -} -.fa-moon-o:before { - content: "\F186"; -} -.fa-archive:before { - content: "\F187"; -} -.fa-bug:before { - content: "\F188"; -} -.fa-vk:before { - content: "\F189"; -} -.fa-weibo:before { - content: "\F18A"; -} -.fa-renren:before { - content: "\F18B"; -} -.fa-pagelines:before { - content: "\F18C"; -} -.fa-stack-exchange:before { - content: "\F18D"; -} -.fa-arrow-circle-o-right:before { - content: "\F18E"; -} -.fa-arrow-circle-o-left:before { - content: "\F190"; -} -.fa-toggle-left:before, -.fa-caret-square-o-left:before { - content: "\F191"; -} -.fa-dot-circle-o:before { - content: "\F192"; -} -.fa-wheelchair:before { - content: "\F193"; -} -.fa-vimeo-square:before { - content: "\F194"; -} -.fa-turkish-lira:before, -.fa-try:before { - content: "\F195"; -} -.fa-plus-square-o:before { - content: "\F196"; -} -.fa-space-shuttle:before { - content: "\F197"; -} -.fa-slack:before { - content: "\F198"; -} -.fa-envelope-square:before { - content: "\F199"; -} -.fa-wordpress:before { - content: "\F19A"; -} -.fa-openid:before { - content: "\F19B"; -} -.fa-institution:before, -.fa-bank:before, -.fa-university:before { - content: "\F19C"; -} -.fa-mortar-board:before, -.fa-graduation-cap:before { - content: "\F19D"; -} -.fa-yahoo:before { - content: "\F19E"; -} -.fa-google:before { - content: "\F1A0"; -} -.fa-reddit:before { - content: "\F1A1"; -} -.fa-reddit-square:before { - content: "\F1A2"; -} -.fa-stumbleupon-circle:before { - content: "\F1A3"; -} -.fa-stumbleupon:before { - content: "\F1A4"; -} -.fa-delicious:before { - content: "\F1A5"; -} -.fa-digg:before { - content: "\F1A6"; -} -.fa-pied-piper-pp:before { - content: "\F1A7"; -} -.fa-pied-piper-alt:before { - content: "\F1A8"; -} -.fa-drupal:before { - content: "\F1A9"; -} -.fa-joomla:before { - content: "\F1AA"; -} -.fa-language:before { - content: "\F1AB"; -} -.fa-fax:before { - content: "\F1AC"; -} -.fa-building:before { - content: "\F1AD"; -} -.fa-child:before { - content: "\F1AE"; -} -.fa-paw:before { - content: "\F1B0"; -} -.fa-spoon:before { - content: "\F1B1"; -} -.fa-cube:before { - content: "\F1B2"; -} -.fa-cubes:before { - content: "\F1B3"; -} -.fa-behance:before { - content: "\F1B4"; -} -.fa-behance-square:before { - content: "\F1B5"; -} -.fa-steam:before { - content: "\F1B6"; -} -.fa-steam-square:before { - content: "\F1B7"; -} -.fa-recycle:before { - content: "\F1B8"; -} -.fa-automobile:before, -.fa-car:before { - content: "\F1B9"; -} -.fa-cab:before, -.fa-taxi:before { - content: "\F1BA"; -} -.fa-tree:before { - content: "\F1BB"; -} -.fa-spotify:before { - content: "\F1BC"; -} -.fa-deviantart:before { - content: "\F1BD"; -} -.fa-soundcloud:before { - content: "\F1BE"; -} -.fa-database:before { - content: "\F1C0"; -} -.fa-file-pdf-o:before { - content: "\F1C1"; -} -.fa-file-word-o:before { - content: "\F1C2"; -} -.fa-file-excel-o:before { - content: "\F1C3"; -} -.fa-file-powerpoint-o:before { - content: "\F1C4"; -} -.fa-file-photo-o:before, -.fa-file-picture-o:before, -.fa-file-image-o:before { - content: "\F1C5"; -} -.fa-file-zip-o:before, -.fa-file-archive-o:before { - content: "\F1C6"; -} -.fa-file-sound-o:before, -.fa-file-audio-o:before { - content: "\F1C7"; -} -.fa-file-movie-o:before, -.fa-file-video-o:before { - content: "\F1C8"; -} -.fa-file-code-o:before { - content: "\F1C9"; -} -.fa-vine:before { - content: "\F1CA"; -} -.fa-codepen:before { - content: "\F1CB"; -} -.fa-jsfiddle:before { - content: "\F1CC"; -} -.fa-life-bouy:before, -.fa-life-buoy:before, -.fa-life-saver:before, -.fa-support:before, -.fa-life-ring:before { - content: "\F1CD"; -} -.fa-circle-o-notch:before { - content: "\F1CE"; -} -.fa-ra:before, -.fa-resistance:before, -.fa-rebel:before { - content: "\F1D0"; -} -.fa-ge:before, -.fa-empire:before { - content: "\F1D1"; -} -.fa-git-square:before { - content: "\F1D2"; -} -.fa-git:before { - content: "\F1D3"; -} -.fa-y-combinator-square:before, -.fa-yc-square:before, -.fa-hacker-news:before { - content: "\F1D4"; -} -.fa-tencent-weibo:before { - content: "\F1D5"; -} -.fa-qq:before { - content: "\F1D6"; -} -.fa-wechat:before, -.fa-weixin:before { - content: "\F1D7"; -} -.fa-send:before, -.fa-paper-plane:before { - content: "\F1D8"; -} -.fa-send-o:before, -.fa-paper-plane-o:before { - content: "\F1D9"; -} -.fa-history:before { - content: "\F1DA"; -} -.fa-circle-thin:before { - content: "\F1DB"; -} -.fa-header:before { - content: "\F1DC"; -} -.fa-paragraph:before { - content: "\F1DD"; -} -.fa-sliders:before { - content: "\F1DE"; -} -.fa-share-alt:before { - content: "\F1E0"; -} -.fa-share-alt-square:before { - content: "\F1E1"; -} -.fa-bomb:before { - content: "\F1E2"; -} -.fa-soccer-ball-o:before, -.fa-futbol-o:before { - content: "\F1E3"; -} -.fa-tty:before { - content: "\F1E4"; -} -.fa-binoculars:before { - content: "\F1E5"; -} -.fa-plug:before { - content: "\F1E6"; -} -.fa-slideshare:before { - content: "\F1E7"; -} -.fa-twitch:before { - content: "\F1E8"; -} -.fa-yelp:before { - content: "\F1E9"; -} -.fa-newspaper-o:before { - content: "\F1EA"; -} -.fa-wifi:before { - content: "\F1EB"; -} -.fa-calculator:before { - content: "\F1EC"; -} -.fa-paypal:before { - content: "\F1ED"; -} -.fa-google-wallet:before { - content: "\F1EE"; -} -.fa-cc-visa:before { - content: "\F1F0"; -} -.fa-cc-mastercard:before { - content: "\F1F1"; -} -.fa-cc-discover:before { - content: "\F1F2"; -} -.fa-cc-amex:before { - content: "\F1F3"; -} -.fa-cc-paypal:before { - content: "\F1F4"; -} -.fa-cc-stripe:before { - content: "\F1F5"; -} -.fa-bell-slash:before { - content: "\F1F6"; -} -.fa-bell-slash-o:before { - content: "\F1F7"; -} -.fa-trash:before { - content: "\F1F8"; -} -.fa-copyright:before { - content: "\F1F9"; -} -.fa-at:before { - content: "\F1FA"; -} -.fa-eyedropper:before { - content: "\F1FB"; -} -.fa-paint-brush:before { - content: "\F1FC"; -} -.fa-birthday-cake:before { - content: "\F1FD"; -} -.fa-area-chart:before { - content: "\F1FE"; -} -.fa-pie-chart:before { - content: "\F200"; -} -.fa-line-chart:before { - content: "\F201"; -} -.fa-lastfm:before { - content: "\F202"; -} -.fa-lastfm-square:before { - content: "\F203"; -} -.fa-toggle-off:before { - content: "\F204"; -} -.fa-toggle-on:before { - content: "\F205"; -} -.fa-bicycle:before { - content: "\F206"; -} -.fa-bus:before { - content: "\F207"; -} -.fa-ioxhost:before { - content: "\F208"; -} -.fa-angellist:before { - content: "\F209"; -} -.fa-cc:before { - content: "\F20A"; -} -.fa-shekel:before, -.fa-sheqel:before, -.fa-ils:before { - content: "\F20B"; -} -.fa-meanpath:before { - content: "\F20C"; -} -.fa-buysellads:before { - content: "\F20D"; -} -.fa-connectdevelop:before { - content: "\F20E"; -} -.fa-dashcube:before { - content: "\F210"; -} -.fa-forumbee:before { - content: "\F211"; -} -.fa-leanpub:before { - content: "\F212"; -} -.fa-sellsy:before { - content: "\F213"; -} -.fa-shirtsinbulk:before { - content: "\F214"; -} -.fa-simplybuilt:before { - content: "\F215"; -} -.fa-skyatlas:before { - content: "\F216"; -} -.fa-cart-plus:before { - content: "\F217"; -} -.fa-cart-arrow-down:before { - content: "\F218"; -} -.fa-diamond:before { - content: "\F219"; -} -.fa-ship:before { - content: "\F21A"; -} -.fa-user-secret:before { - content: "\F21B"; -} -.fa-motorcycle:before { - content: "\F21C"; -} -.fa-street-view:before { - content: "\F21D"; -} -.fa-heartbeat:before { - content: "\F21E"; -} -.fa-venus:before { - content: "\F221"; -} -.fa-mars:before { - content: "\F222"; -} -.fa-mercury:before { - content: "\F223"; -} -.fa-intersex:before, -.fa-transgender:before { - content: "\F224"; -} -.fa-transgender-alt:before { - content: "\F225"; -} -.fa-venus-double:before { - content: "\F226"; -} -.fa-mars-double:before { - content: "\F227"; -} -.fa-venus-mars:before { - content: "\F228"; -} -.fa-mars-stroke:before { - content: "\F229"; -} -.fa-mars-stroke-v:before { - content: "\F22A"; -} -.fa-mars-stroke-h:before { - content: "\F22B"; -} -.fa-neuter:before { - content: "\F22C"; -} -.fa-genderless:before { - content: "\F22D"; -} -.fa-facebook-official:before { - content: "\F230"; -} -.fa-pinterest-p:before { - content: "\F231"; -} -.fa-whatsapp:before { - content: "\F232"; -} -.fa-server:before { - content: "\F233"; -} -.fa-user-plus:before { - content: "\F234"; -} -.fa-user-times:before { - content: "\F235"; -} -.fa-hotel:before, -.fa-bed:before { - content: "\F236"; -} -.fa-viacoin:before { - content: "\F237"; -} -.fa-train:before { - content: "\F238"; -} -.fa-subway:before { - content: "\F239"; -} -.fa-medium:before { - content: "\F23A"; -} -.fa-yc:before, -.fa-y-combinator:before { - content: "\F23B"; -} -.fa-optin-monster:before { - content: "\F23C"; -} -.fa-opencart:before { - content: "\F23D"; -} -.fa-expeditedssl:before { - content: "\F23E"; -} -.fa-battery-4:before, -.fa-battery:before, -.fa-battery-full:before { - content: "\F240"; -} -.fa-battery-3:before, -.fa-battery-three-quarters:before { - content: "\F241"; -} -.fa-battery-2:before, -.fa-battery-half:before { - content: "\F242"; -} -.fa-battery-1:before, -.fa-battery-quarter:before { - content: "\F243"; -} -.fa-battery-0:before, -.fa-battery-empty:before { - content: "\F244"; -} -.fa-mouse-pointer:before { - content: "\F245"; -} -.fa-i-cursor:before { - content: "\F246"; -} -.fa-object-group:before { - content: "\F247"; -} -.fa-object-ungroup:before { - content: "\F248"; -} -.fa-sticky-note:before { - content: "\F249"; -} -.fa-sticky-note-o:before { - content: "\F24A"; -} -.fa-cc-jcb:before { - content: "\F24B"; -} -.fa-cc-diners-club:before { - content: "\F24C"; -} -.fa-clone:before { - content: "\F24D"; -} -.fa-balance-scale:before { - content: "\F24E"; -} -.fa-hourglass-o:before { - content: "\F250"; -} -.fa-hourglass-1:before, -.fa-hourglass-start:before { - content: "\F251"; -} -.fa-hourglass-2:before, -.fa-hourglass-half:before { - content: "\F252"; -} -.fa-hourglass-3:before, -.fa-hourglass-end:before { - content: "\F253"; -} -.fa-hourglass:before { - content: "\F254"; -} -.fa-hand-grab-o:before, -.fa-hand-rock-o:before { - content: "\F255"; -} -.fa-hand-stop-o:before, -.fa-hand-paper-o:before { - content: "\F256"; -} -.fa-hand-scissors-o:before { - content: "\F257"; -} -.fa-hand-lizard-o:before { - content: "\F258"; -} -.fa-hand-spock-o:before { - content: "\F259"; -} -.fa-hand-pointer-o:before { - content: "\F25A"; -} -.fa-hand-peace-o:before { - content: "\F25B"; -} -.fa-trademark:before { - content: "\F25C"; -} -.fa-registered:before { - content: "\F25D"; -} -.fa-creative-commons:before { - content: "\F25E"; -} -.fa-gg:before { - content: "\F260"; -} -.fa-gg-circle:before { - content: "\F261"; -} -.fa-tripadvisor:before { - content: "\F262"; -} -.fa-odnoklassniki:before { - content: "\F263"; -} -.fa-odnoklassniki-square:before { - content: "\F264"; -} -.fa-get-pocket:before { - content: "\F265"; -} -.fa-wikipedia-w:before { - content: "\F266"; -} -.fa-safari:before { - content: "\F267"; -} -.fa-chrome:before { - content: "\F268"; -} -.fa-firefox:before { - content: "\F269"; -} -.fa-opera:before { - content: "\F26A"; -} -.fa-internet-explorer:before { - content: "\F26B"; -} -.fa-tv:before, -.fa-television:before { - content: "\F26C"; -} -.fa-contao:before { - content: "\F26D"; -} -.fa-500px:before { - content: "\F26E"; -} -.fa-amazon:before { - content: "\F270"; -} -.fa-calendar-plus-o:before { - content: "\F271"; -} -.fa-calendar-minus-o:before { - content: "\F272"; -} -.fa-calendar-times-o:before { - content: "\F273"; -} -.fa-calendar-check-o:before { - content: "\F274"; -} -.fa-industry:before { - content: "\F275"; -} -.fa-map-pin:before { - content: "\F276"; -} -.fa-map-signs:before { - content: "\F277"; -} -.fa-map-o:before { - content: "\F278"; -} -.fa-map:before { - content: "\F279"; -} -.fa-commenting:before { - content: "\F27A"; -} -.fa-commenting-o:before { - content: "\F27B"; -} -.fa-houzz:before { - content: "\F27C"; -} -.fa-vimeo:before { - content: "\F27D"; -} -.fa-black-tie:before { - content: "\F27E"; -} -.fa-fonticons:before { - content: "\F280"; -} -.fa-reddit-alien:before { - content: "\F281"; -} -.fa-edge:before { - content: "\F282"; -} -.fa-credit-card-alt:before { - content: "\F283"; -} -.fa-codiepie:before { - content: "\F284"; -} -.fa-modx:before { - content: "\F285"; -} -.fa-fort-awesome:before { - content: "\F286"; -} -.fa-usb:before { - content: "\F287"; -} -.fa-product-hunt:before { - content: "\F288"; -} -.fa-mixcloud:before { - content: "\F289"; -} -.fa-scribd:before { - content: "\F28A"; -} -.fa-pause-circle:before { - content: "\F28B"; -} -.fa-pause-circle-o:before { - content: "\F28C"; -} -.fa-stop-circle:before { - content: "\F28D"; -} -.fa-stop-circle-o:before { - content: "\F28E"; -} -.fa-shopping-bag:before { - content: "\F290"; -} 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- - if ( value != null ) { - ret.push( value ); - } - } - } - - // Flatten any nested arrays - return concat.apply( [], ret ); - }, - - // A global GUID counter for objects - guid: 1, - - // Bind a function to a context, optionally partially applying any - // arguments. - proxy: function( fn, context ) { - var tmp, args, proxy; - - if ( typeof context === "string" ) { - tmp = fn[ context ]; - context = fn; - fn = tmp; - } - - // Quick check to determine if target is callable, in the spec - // this throws a TypeError, but we will just return undefined. - if ( !jQuery.isFunction( fn ) ) { - return undefined; - } - - // Simulated bind - args = slice.call( arguments, 2 ); - proxy = function() { - return fn.apply( context || this, args.concat( slice.call( arguments ) ) ); - }; - - // Set the guid of unique handler to the same of original handler, so it can be removed - proxy.guid = fn.guid = fn.guid || jQuery.guid++; - - return proxy; - }, - - now: Date.now, - - // jQuery.support is not used in Core but other projects attach their - // properties to it so it needs to exist. - support: support -} ); - -if ( typeof Symbol === "function" ) { - jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ]; -} - -// Populate the class2type map -jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ), -function( i, name ) { - class2type[ "[object " + name + "]" ] = name.toLowerCase(); -} ); - -function isArrayLike( obj ) { - - // Support: real iOS 8.2 only (not reproducible in simulator) - // `in` check used to prevent JIT error (gh-2145) - // hasOwn isn't used here due to false negatives - // regarding Nodelist length in IE - var length = !!obj && "length" in obj && obj.length, - type = jQuery.type( obj ); - - if ( type === "function" || jQuery.isWindow( obj ) ) { - return false; - } - - return type === "array" || length === 0 || - typeof length === "number" && length > 0 && ( length - 1 ) in obj; -} -var Sizzle = -/*! - * Sizzle CSS Selector Engine v2.3.3 - * https://sizzlejs.com/ - * - * Copyright jQuery Foundation and other contributors - * Released under the MIT license - * http://jquery.org/license - * - * Date: 2016-08-08 - */ -(function( window ) { - -var i, - support, - Expr, - getText, - isXML, - tokenize, - compile, - select, - outermostContext, - sortInput, - hasDuplicate, - - // Local document vars - setDocument, - document, - docElem, - documentIsHTML, - rbuggyQSA, - rbuggyMatches, - matches, - contains, - - // Instance-specific data - expando = "sizzle" + 1 * new Date(), - preferredDoc = window.document, - dirruns = 0, - done = 0, - classCache = createCache(), - tokenCache = createCache(), - compilerCache = createCache(), - sortOrder = function( a, b ) { - if ( a === b ) { - hasDuplicate = true; - } - return 0; - }, - - // Instance methods - hasOwn = ({}).hasOwnProperty, - arr = [], - pop = arr.pop, - push_native = arr.push, - push = arr.push, - slice = arr.slice, - // Use a stripped-down indexOf as it's faster than native - // https://jsperf.com/thor-indexof-vs-for/5 - indexOf = function( list, elem ) { - var i = 0, - len = list.length; - for ( ; i < len; i++ ) { - if ( list[i] === elem ) { - return i; - } - } - return -1; - }, - - booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped", - - // Regular expressions - - // http://www.w3.org/TR/css3-selectors/#whitespace - whitespace = "[\\x20\\t\\r\\n\\f]", - - // http://www.w3.org/TR/CSS21/syndata.html#value-def-identifier - identifier = "(?:\\\\.|[\\w-]|[^\0-\\xa0])+", - - // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors - attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace + - // Operator (capture 2) - "*([*^$|!~]?=)" + whitespace + - // "Attribute values must be CSS identifiers [capture 5] or strings [capture 3 or capture 4]" - "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + whitespace + - "*\\]", - - pseudos = ":(" + identifier + ")(?:\\((" + - // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: - // 1. quoted (capture 3; capture 4 or capture 5) - "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + - // 2. simple (capture 6) - "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + - // 3. anything else (capture 2) - ".*" + - ")\\)|)", - - // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter - rwhitespace = new RegExp( whitespace + "+", "g" ), - rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$", "g" ), - - rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), - rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + "*" ), - - rattributeQuotes = new RegExp( "=" + whitespace + "*([^\\]'\"]*?)" + whitespace + "*\\]", "g" ), - - rpseudo = new RegExp( pseudos ), - ridentifier = new RegExp( "^" + identifier + "$" ), - - matchExpr = { - "ID": new RegExp( "^#(" + identifier + ")" ), - "CLASS": new RegExp( "^\\.(" + identifier + ")" ), - "TAG": new RegExp( "^(" + identifier + "|[*])" ), - "ATTR": new RegExp( "^" + attributes ), - "PSEUDO": new RegExp( "^" + pseudos ), - "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + whitespace + - "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + whitespace + - "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), - "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), - // For use in libraries implementing .is() - // We use this for POS matching in `select` - "needsContext": new RegExp( "^" + whitespace + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + - whitespace + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) - }, - - rinputs = /^(?:input|select|textarea|button)$/i, - rheader = /^h\d$/i, - - rnative = /^[^{]+\{\s*\[native \w/, - - // Easily-parseable/retrievable ID or TAG or CLASS selectors - rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, - - rsibling = /[+~]/, - - // CSS escapes - // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters - runescape = new RegExp( "\\\\([\\da-f]{1,6}" + whitespace + "?|(" + whitespace + ")|.)", "ig" ), - funescape = function( _, escaped, escapedWhitespace ) { - var high = "0x" + escaped - 0x10000; - // NaN means non-codepoint - // Support: Firefox<24 - // Workaround erroneous numeric interpretation of +"0x" - return high !== high || escapedWhitespace ? - escaped : - high < 0 ? - // BMP codepoint - String.fromCharCode( high + 0x10000 ) : - // Supplemental Plane codepoint (surrogate pair) - String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); - }, - - // CSS string/identifier serialization - // https://drafts.csswg.org/cssom/#common-serializing-idioms - rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, - fcssescape = function( ch, asCodePoint ) { - if ( asCodePoint ) { - - // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER - if ( ch === "\0" ) { - return "\uFFFD"; - } - - // Control characters and (dependent upon position) numbers get escaped as code points - return ch.slice( 0, -1 ) + "\\" + ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; - } - - // Other potentially-special ASCII characters get backslash-escaped - return "\\" + ch; - }, - - // Used for iframes - // See setDocument() - // Removing the function wrapper causes a "Permission Denied" - // error in IE - unloadHandler = function() { - setDocument(); - }, - - disabledAncestor = addCombinator( - function( elem ) { - return elem.disabled === true && ("form" in elem || "label" in elem); - }, - { dir: "parentNode", next: "legend" } - ); - -// Optimize for push.apply( _, NodeList ) -try { - push.apply( - (arr = slice.call( preferredDoc.childNodes )), - preferredDoc.childNodes - ); - // Support: Android<4.0 - // Detect silently failing push.apply - arr[ preferredDoc.childNodes.length ].nodeType; -} catch ( e ) { - push = { apply: arr.length ? - - // Leverage slice if possible - function( target, els ) { - push_native.apply( target, slice.call(els) ); - } : - - // Support: IE<9 - // Otherwise append directly - function( target, els ) { - var j = target.length, - i = 0; - // Can't trust NodeList.length - while ( (target[j++] = els[i++]) ) {} - target.length = j - 1; - } - }; -} - -function Sizzle( selector, context, results, seed ) { - var m, i, elem, nid, match, groups, newSelector, - newContext = context && context.ownerDocument, - - // nodeType defaults to 9, since context defaults to document - nodeType = context ? context.nodeType : 9; - - results = results || []; - - // Return early from calls with invalid selector or context - if ( typeof selector !== "string" || !selector || - nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { - - return results; - } - - // Try to shortcut find operations (as opposed to filters) in HTML documents - if ( !seed ) { - - if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) { - setDocument( context ); - } - context = context || document; - - if ( documentIsHTML ) { - - // If the selector is sufficiently simple, try using a "get*By*" DOM method - // (excepting DocumentFragment context, where the methods don't exist) - if ( nodeType !== 11 && (match = rquickExpr.exec( selector )) ) { - - // ID selector - if ( (m = match[1]) ) { - - // Document context - if ( nodeType === 9 ) { - if ( (elem = context.getElementById( m )) ) { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( elem.id === m ) { - results.push( elem ); - return results; - } - } else { - return results; - } - - // Element context - } else { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( newContext && (elem = newContext.getElementById( m )) && - contains( context, elem ) && - elem.id === m ) { - - results.push( elem ); - return results; - } - } - - // Type selector - } else if ( match[2] ) { - push.apply( results, context.getElementsByTagName( selector ) ); - return results; - - // Class selector - } else if ( (m = match[3]) && support.getElementsByClassName && - context.getElementsByClassName ) { - - push.apply( results, context.getElementsByClassName( m ) ); - return results; - } - } - - // Take advantage of querySelectorAll - if ( support.qsa && - !compilerCache[ selector + " " ] && - (!rbuggyQSA || !rbuggyQSA.test( selector )) ) { - - if ( nodeType !== 1 ) { - newContext = context; - newSelector = selector; - - // qSA looks outside Element context, which is not what we want - // Thanks to Andrew Dupont for this workaround technique - // Support: IE <=8 - // Exclude object elements - } else if ( context.nodeName.toLowerCase() !== "object" ) { - - // Capture the context ID, setting it first if necessary - if ( (nid = context.getAttribute( "id" )) ) { - nid = nid.replace( rcssescape, fcssescape ); - } else { - context.setAttribute( "id", (nid = expando) ); - } - - // Prefix every selector in the list - groups = tokenize( selector ); - i = groups.length; - while ( i-- ) { - groups[i] = "#" + nid + " " + toSelector( groups[i] ); - } - newSelector = groups.join( "," ); - - // Expand context for sibling selectors - newContext = rsibling.test( selector ) && testContext( context.parentNode ) || - context; - } - - if ( newSelector ) { - try { - push.apply( results, - newContext.querySelectorAll( newSelector ) - ); - return results; - } catch ( qsaError ) { - } finally { - if ( nid === expando ) { - context.removeAttribute( "id" ); - } - } - } - } - } - } - - // All others - return select( selector.replace( rtrim, "$1" ), context, results, seed ); -} - -/** - * Create key-value caches of limited size - * @returns {function(string, object)} Returns the Object data after storing it on itself with - * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) - * deleting the oldest entry - */ -function createCache() { - var keys = []; - - function cache( key, value ) { - // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) - if ( keys.push( key + " " ) > Expr.cacheLength ) { - // Only keep the most recent entries - delete cache[ keys.shift() ]; - } - return (cache[ key + " " ] = value); - } - return cache; -} - -/** - * Mark a function for special use by Sizzle - * @param {Function} fn The function to mark - */ -function markFunction( fn ) { - fn[ expando ] = true; - return fn; -} - -/** - * Support testing using an element - * @param {Function} fn Passed the created element and returns a boolean result - */ -function assert( fn ) { - var el = document.createElement("fieldset"); - - try { - return !!fn( el ); - } catch (e) { - return false; - } finally { - // Remove from its parent by default - if ( el.parentNode ) { - el.parentNode.removeChild( el ); - } - // release memory in IE - el = null; - } -} - -/** - * Adds the same handler for all of the specified attrs - * @param {String} attrs Pipe-separated list of attributes - * @param {Function} handler The method that will be applied - */ -function addHandle( attrs, handler ) { - var arr = attrs.split("|"), - i = arr.length; - - while ( i-- ) { - Expr.attrHandle[ arr[i] ] = handler; - } -} - -/** - * Checks document order of two siblings - * @param {Element} a - * @param {Element} b - * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b - */ -function siblingCheck( a, b ) { - var cur = b && a, - diff = cur && a.nodeType === 1 && b.nodeType === 1 && - a.sourceIndex - b.sourceIndex; - - // Use IE sourceIndex if available on both nodes - if ( diff ) { - return diff; - } - - // Check if b follows a - if ( cur ) { - while ( (cur = cur.nextSibling) ) { - if ( cur === b ) { - return -1; - } - } - } - - return a ? 1 : -1; -} - -/** - * Returns a function to use in pseudos for input types - * @param {String} type - */ -function createInputPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for buttons - * @param {String} type - */ -function createButtonPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return (name === "input" || name === "button") && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for :enabled/:disabled - * @param {Boolean} disabled true for :disabled; false for :enabled - */ -function createDisabledPseudo( disabled ) { - - // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable - return function( elem ) { - - // Only certain elements can match :enabled or :disabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled - if ( "form" in elem ) { - - // Check for inherited disabledness on relevant non-disabled elements: - // * listed form-associated elements in a disabled fieldset - // https://html.spec.whatwg.org/multipage/forms.html#category-listed - // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled - // * option elements in a disabled optgroup - // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled - // All such elements have a "form" property. - if ( elem.parentNode && elem.disabled === false ) { - - // Option elements defer to a parent optgroup if present - if ( "label" in elem ) { - if ( "label" in elem.parentNode ) { - return elem.parentNode.disabled === disabled; - } else { - return elem.disabled === disabled; - } - } - - // Support: IE 6 - 11 - // Use the isDisabled shortcut property to check for disabled fieldset ancestors - return elem.isDisabled === disabled || - - // Where there is no isDisabled, check manually - /* jshint -W018 */ - elem.isDisabled !== !disabled && - disabledAncestor( elem ) === disabled; - } - - return elem.disabled === disabled; - - // Try to winnow out elements that can't be disabled before trusting the disabled property. - // Some victims get caught in our net (label, legend, menu, track), but it shouldn't - // even exist on them, let alone have a boolean value. - } else if ( "label" in elem ) { - return elem.disabled === disabled; - } - - // Remaining elements are neither :enabled nor :disabled - return false; - }; -} - -/** - * Returns a function to use in pseudos for positionals - * @param {Function} fn - */ -function createPositionalPseudo( fn ) { - return markFunction(function( argument ) { - argument = +argument; - return markFunction(function( seed, matches ) { - var j, - matchIndexes = fn( [], seed.length, argument ), - i = matchIndexes.length; - - // Match elements found at the specified indexes - while ( i-- ) { - if ( seed[ (j = matchIndexes[i]) ] ) { - seed[j] = !(matches[j] = seed[j]); - } - } - }); - }); -} - -/** - * Checks a node for validity as a Sizzle context - * @param {Element|Object=} context - * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value - */ -function testContext( context ) { - return context && typeof context.getElementsByTagName !== "undefined" && context; -} - -// Expose support vars for convenience -support = Sizzle.support = {}; - -/** - * Detects XML nodes - * @param {Element|Object} elem An element or a document - * @returns {Boolean} True iff elem is a non-HTML XML node - */ -isXML = Sizzle.isXML = function( elem ) { - // documentElement is verified for cases where it doesn't yet exist - // (such as loading iframes in IE - #4833) - var documentElement = elem && (elem.ownerDocument || elem).documentElement; - return documentElement ? documentElement.nodeName !== "HTML" : false; -}; - -/** - * Sets document-related variables once based on the current document - * @param {Element|Object} [doc] An element or document object to use to set the document - * @returns {Object} Returns the current document - */ -setDocument = Sizzle.setDocument = function( node ) { - var hasCompare, subWindow, - doc = node ? node.ownerDocument || node : preferredDoc; - - // Return early if doc is invalid or already selected - if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) { - return document; - } - - // Update global variables - document = doc; - docElem = document.documentElement; - documentIsHTML = !isXML( document ); - - // Support: IE 9-11, Edge - // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) - if ( preferredDoc !== document && - (subWindow = document.defaultView) && subWindow.top !== subWindow ) { - - // Support: IE 11, Edge - if ( subWindow.addEventListener ) { - subWindow.addEventListener( "unload", unloadHandler, false ); - - // Support: IE 9 - 10 only - } else if ( subWindow.attachEvent ) { - subWindow.attachEvent( "onunload", unloadHandler ); - } - } - - /* Attributes - ---------------------------------------------------------------------- */ - - // Support: IE<8 - // Verify that getAttribute really returns attributes and not properties - // (excepting IE8 booleans) - support.attributes = assert(function( el ) { - el.className = "i"; - return !el.getAttribute("className"); - }); - - /* getElement(s)By* - ---------------------------------------------------------------------- */ - - // Check if getElementsByTagName("*") returns only elements - support.getElementsByTagName = assert(function( el ) { - el.appendChild( document.createComment("") ); - return !el.getElementsByTagName("*").length; - }); - - // Support: IE<9 - support.getElementsByClassName = rnative.test( document.getElementsByClassName ); - - // Support: IE<10 - // Check if getElementById returns elements by name - // The broken getElementById methods don't pick up programmatically-set names, - // so use a roundabout getElementsByName test - support.getById = assert(function( el ) { - docElem.appendChild( el ).id = expando; - return !document.getElementsByName || !document.getElementsByName( expando ).length; - }); - - // ID filter and find - if ( support.getById ) { - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - return elem.getAttribute("id") === attrId; - }; - }; - Expr.find["ID"] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var elem = context.getElementById( id ); - return elem ? [ elem ] : []; - } - }; - } else { - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - var node = typeof elem.getAttributeNode !== "undefined" && - elem.getAttributeNode("id"); - return node && node.value === attrId; - }; - }; - - // Support: IE 6 - 7 only - // getElementById is not reliable as a find shortcut - Expr.find["ID"] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var node, i, elems, - elem = context.getElementById( id ); - - if ( elem ) { - - // Verify the id attribute - node = elem.getAttributeNode("id"); - if ( node && node.value === id ) { - return [ elem ]; - } - - // Fall back on getElementsByName - elems = context.getElementsByName( id ); - i = 0; - while ( (elem = elems[i++]) ) { - node = elem.getAttributeNode("id"); - if ( node && node.value === id ) { - return [ elem ]; - } - } - } - - return []; - } - }; - } - - // Tag - Expr.find["TAG"] = support.getElementsByTagName ? - function( tag, context ) { - if ( typeof context.getElementsByTagName !== "undefined" ) { - return context.getElementsByTagName( tag ); - - // DocumentFragment nodes don't have gEBTN - } else if ( support.qsa ) { - return context.querySelectorAll( tag ); - } - } : - - function( tag, context ) { - var elem, - tmp = [], - i = 0, - // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too - results = context.getElementsByTagName( tag ); - - // Filter out possible comments - if ( tag === "*" ) { - while ( (elem = results[i++]) ) { - if ( elem.nodeType === 1 ) { - tmp.push( elem ); - } - } - - return tmp; - } - return results; - }; - - // Class - Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) { - if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { - return context.getElementsByClassName( className ); - } - }; - - /* QSA/matchesSelector - ---------------------------------------------------------------------- */ - - // QSA and matchesSelector support - - // matchesSelector(:active) reports false when true (IE9/Opera 11.5) - rbuggyMatches = []; - - // qSa(:focus) reports false when true (Chrome 21) - // We allow this because of a bug in IE8/9 that throws an error - // whenever `document.activeElement` is accessed on an iframe - // So, we allow :focus to pass through QSA all the time to avoid the IE error - // See https://bugs.jquery.com/ticket/13378 - rbuggyQSA = []; - - if ( (support.qsa = rnative.test( document.querySelectorAll )) ) { - // Build QSA regex - // Regex strategy adopted from Diego Perini - assert(function( el ) { - // Select is set to empty string on purpose - // This is to test IE's treatment of not explicitly - // setting a boolean content attribute, - // since its presence should be enough - // https://bugs.jquery.com/ticket/12359 - docElem.appendChild( el ).innerHTML = "" + - ""; - - // Support: IE8, Opera 11-12.16 - // Nothing should be selected when empty strings follow ^= or $= or *= - // The test attribute must be unknown in Opera but "safe" for WinRT - // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section - if ( el.querySelectorAll("[msallowcapture^='']").length ) { - rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); - } - - // Support: IE8 - // Boolean attributes and "value" are not treated correctly - if ( !el.querySelectorAll("[selected]").length ) { - rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); - } - - // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ - if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { - rbuggyQSA.push("~="); - } - - // Webkit/Opera - :checked should return selected option elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - // IE8 throws error here and will not see later tests - if ( !el.querySelectorAll(":checked").length ) { - rbuggyQSA.push(":checked"); - } - - // Support: Safari 8+, iOS 8+ - // https://bugs.webkit.org/show_bug.cgi?id=136851 - // In-page `selector#id sibling-combinator selector` fails - if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { - rbuggyQSA.push(".#.+[+~]"); - } - }); - - assert(function( el ) { - el.innerHTML = "" + - ""; - - // Support: Windows 8 Native Apps - // The type and name attributes are restricted during .innerHTML assignment - var input = document.createElement("input"); - input.setAttribute( "type", "hidden" ); - el.appendChild( input ).setAttribute( "name", "D" ); - - // Support: IE8 - // Enforce case-sensitivity of name attribute - if ( el.querySelectorAll("[name=d]").length ) { - rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); - } - - // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) - // IE8 throws error here and will not see later tests - if ( el.querySelectorAll(":enabled").length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Support: IE9-11+ - // IE's :disabled selector does not pick up the children of disabled fieldsets - docElem.appendChild( el ).disabled = true; - if ( el.querySelectorAll(":disabled").length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Opera 10-11 does not throw on post-comma invalid pseudos - el.querySelectorAll("*,:x"); - rbuggyQSA.push(",.*:"); - }); - } - - if ( (support.matchesSelector = rnative.test( (matches = docElem.matches || - docElem.webkitMatchesSelector || - docElem.mozMatchesSelector || - docElem.oMatchesSelector || - docElem.msMatchesSelector) )) ) { - - assert(function( el ) { - // Check to see if it's possible to do matchesSelector - // on a disconnected node (IE 9) - support.disconnectedMatch = matches.call( el, "*" ); - - // This should fail with an exception - // Gecko does not error, returns false instead - matches.call( el, "[s!='']:x" ); - rbuggyMatches.push( "!=", pseudos ); - }); - } - - rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") ); - rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") ); - - /* Contains - ---------------------------------------------------------------------- */ - hasCompare = rnative.test( docElem.compareDocumentPosition ); - - // Element contains another - // Purposefully self-exclusive - // As in, an element does not contain itself - contains = hasCompare || rnative.test( docElem.contains ) ? - function( a, b ) { - var adown = a.nodeType === 9 ? a.documentElement : a, - bup = b && b.parentNode; - return a === bup || !!( bup && bup.nodeType === 1 && ( - adown.contains ? - adown.contains( bup ) : - a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 - )); - } : - function( a, b ) { - if ( b ) { - while ( (b = b.parentNode) ) { - if ( b === a ) { - return true; - } - } - } - return false; - }; - - /* Sorting - ---------------------------------------------------------------------- */ - - // Document order sorting - sortOrder = hasCompare ? - function( a, b ) { - - // Flag for duplicate removal - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - // Sort on method existence if only one input has compareDocumentPosition - var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; - if ( compare ) { - return compare; - } - - // Calculate position if both inputs belong to the same document - compare = ( a.ownerDocument || a ) === ( b.ownerDocument || b ) ? - a.compareDocumentPosition( b ) : - - // Otherwise we know they are disconnected - 1; - - // Disconnected nodes - if ( compare & 1 || - (!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) { - - // Choose the first element that is related to our preferred document - if ( a === document || a.ownerDocument === preferredDoc && contains(preferredDoc, a) ) { - return -1; - } - if ( b === document || b.ownerDocument === preferredDoc && contains(preferredDoc, b) ) { - return 1; - } - - // Maintain original order - return sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - } - - return compare & 4 ? -1 : 1; - } : - function( a, b ) { - // Exit early if the nodes are identical - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - var cur, - i = 0, - aup = a.parentNode, - bup = b.parentNode, - ap = [ a ], - bp = [ b ]; - - // Parentless nodes are either documents or disconnected - if ( !aup || !bup ) { - return a === document ? -1 : - b === document ? 1 : - aup ? -1 : - bup ? 1 : - sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - - // If the nodes are siblings, we can do a quick check - } else if ( aup === bup ) { - return siblingCheck( a, b ); - } - - // Otherwise we need full lists of their ancestors for comparison - cur = a; - while ( (cur = cur.parentNode) ) { - ap.unshift( cur ); - } - cur = b; - while ( (cur = cur.parentNode) ) { - bp.unshift( cur ); - } - - // Walk down the tree looking for a discrepancy - while ( ap[i] === bp[i] ) { - i++; - } - - return i ? - // Do a sibling check if the nodes have a common ancestor - siblingCheck( ap[i], bp[i] ) : - - // Otherwise nodes in our document sort first - ap[i] === preferredDoc ? -1 : - bp[i] === preferredDoc ? 1 : - 0; - }; - - return document; -}; - -Sizzle.matches = function( expr, elements ) { - return Sizzle( expr, null, null, elements ); -}; - -Sizzle.matchesSelector = function( elem, expr ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - // Make sure that attribute selectors are quoted - expr = expr.replace( rattributeQuotes, "='$1']" ); - - if ( support.matchesSelector && documentIsHTML && - !compilerCache[ expr + " " ] && - ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && - ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { - - try { - var ret = matches.call( elem, expr ); - - // IE 9's matchesSelector returns false on disconnected nodes - if ( ret || support.disconnectedMatch || - // As well, disconnected nodes are said to be in a document - // fragment in IE 9 - elem.document && elem.document.nodeType !== 11 ) { - return ret; - } - } catch (e) {} - } - - return Sizzle( expr, document, null, [ elem ] ).length > 0; -}; - -Sizzle.contains = function( context, elem ) { - // Set document vars if needed - if ( ( context.ownerDocument || context ) !== document ) { - setDocument( context ); - } - return contains( context, elem ); -}; - -Sizzle.attr = function( elem, name ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - var fn = Expr.attrHandle[ name.toLowerCase() ], - // Don't get fooled by Object.prototype properties (jQuery #13807) - val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? - fn( elem, name, !documentIsHTML ) : - undefined; - - return val !== undefined ? - val : - support.attributes || !documentIsHTML ? - elem.getAttribute( name ) : - (val = elem.getAttributeNode(name)) && val.specified ? - val.value : - null; -}; - -Sizzle.escape = function( sel ) { - return (sel + "").replace( rcssescape, fcssescape ); -}; - -Sizzle.error = function( msg ) { - throw new Error( "Syntax error, unrecognized expression: " + msg ); -}; - -/** - * Document sorting and removing duplicates - * @param {ArrayLike} results - */ -Sizzle.uniqueSort = function( results ) { - var elem, - duplicates = [], - j = 0, - i = 0; - - // Unless we *know* we can detect duplicates, assume their presence - hasDuplicate = !support.detectDuplicates; - sortInput = !support.sortStable && results.slice( 0 ); - results.sort( sortOrder ); - - if ( hasDuplicate ) { - while ( (elem = results[i++]) ) { - if ( elem === results[ i ] ) { - j = duplicates.push( i ); - } - } - while ( j-- ) { - results.splice( duplicates[ j ], 1 ); - } - } - - // Clear input after sorting to release objects - // See https://github.com/jquery/sizzle/pull/225 - sortInput = null; - - return results; -}; - -/** - * Utility function for retrieving the text value of an array of DOM nodes - * @param {Array|Element} elem - */ -getText = Sizzle.getText = function( elem ) { - var node, - ret = "", - i = 0, - nodeType = elem.nodeType; - - if ( !nodeType ) { - // If no nodeType, this is expected to be an array - while ( (node = elem[i++]) ) { - // Do not traverse comment nodes - ret += getText( node ); - } - } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { - // Use textContent for elements - // innerText usage removed for consistency of new lines (jQuery #11153) - if ( typeof elem.textContent === "string" ) { - return elem.textContent; - } else { - // Traverse its children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - ret += getText( elem ); - } - } - } else if ( nodeType === 3 || nodeType === 4 ) { - return elem.nodeValue; - } - // Do not include comment or processing instruction nodes - - return ret; -}; - -Expr = Sizzle.selectors = { - - // Can be adjusted by the user - cacheLength: 50, - - createPseudo: markFunction, - - match: matchExpr, - - attrHandle: {}, - - find: {}, - - relative: { - ">": { dir: "parentNode", first: true }, - " ": { dir: "parentNode" }, - "+": { dir: "previousSibling", first: true }, - "~": { dir: "previousSibling" } - }, - - preFilter: { - "ATTR": function( match ) { - match[1] = match[1].replace( runescape, funescape ); - - // Move the given value to match[3] whether quoted or unquoted - match[3] = ( match[3] || match[4] || match[5] || "" ).replace( runescape, funescape ); - - if ( match[2] === "~=" ) { - match[3] = " " + match[3] + " "; - } - - return match.slice( 0, 4 ); - }, - - "CHILD": function( match ) { - /* matches from matchExpr["CHILD"] - 1 type (only|nth|...) - 2 what (child|of-type) - 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) - 4 xn-component of xn+y argument ([+-]?\d*n|) - 5 sign of xn-component - 6 x of xn-component - 7 sign of y-component - 8 y of y-component - */ - match[1] = match[1].toLowerCase(); - - if ( match[1].slice( 0, 3 ) === "nth" ) { - // nth-* requires argument - if ( !match[3] ) { - Sizzle.error( match[0] ); - } - - // numeric x and y parameters for Expr.filter.CHILD - // remember that false/true cast respectively to 0/1 - match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) ); - match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" ); - - // other types prohibit arguments - } else if ( match[3] ) { - Sizzle.error( match[0] ); - } - - return match; - }, - - "PSEUDO": function( match ) { - var excess, - unquoted = !match[6] && match[2]; - - if ( matchExpr["CHILD"].test( match[0] ) ) { - return null; - } - - // Accept quoted arguments as-is - if ( match[3] ) { - match[2] = match[4] || match[5] || ""; - - // Strip excess characters from unquoted arguments - } else if ( unquoted && rpseudo.test( unquoted ) && - // Get excess from tokenize (recursively) - (excess = tokenize( unquoted, true )) && - // advance to the next closing parenthesis - (excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) { - - // excess is a negative index - match[0] = match[0].slice( 0, excess ); - match[2] = unquoted.slice( 0, excess ); - } - - // Return only captures needed by the pseudo filter method (type and argument) - return match.slice( 0, 3 ); - } - }, - - filter: { - - "TAG": function( nodeNameSelector ) { - var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); - return nodeNameSelector === "*" ? - function() { return true; } : - function( elem ) { - return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; - }; - }, - - "CLASS": function( className ) { - var pattern = classCache[ className + " " ]; - - return pattern || - (pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) && - classCache( className, function( elem ) { - return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== "undefined" && elem.getAttribute("class") || "" ); - }); - }, - - "ATTR": function( name, operator, check ) { - return function( elem ) { - var result = Sizzle.attr( elem, name ); - - if ( result == null ) { - return operator === "!="; - } - if ( !operator ) { - return true; - } - - result += ""; - - return operator === "=" ? result === check : - operator === "!=" ? result !== check : - operator === "^=" ? check && result.indexOf( check ) === 0 : - operator === "*=" ? check && result.indexOf( check ) > -1 : - operator === "$=" ? check && result.slice( -check.length ) === check : - operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : - operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : - false; - }; - }, - - "CHILD": function( type, what, argument, first, last ) { - var simple = type.slice( 0, 3 ) !== "nth", - forward = type.slice( -4 ) !== "last", - ofType = what === "of-type"; - - return first === 1 && last === 0 ? - - // Shortcut for :nth-*(n) - function( elem ) { - return !!elem.parentNode; - } : - - function( elem, context, xml ) { - var cache, uniqueCache, outerCache, node, nodeIndex, start, - dir = simple !== forward ? "nextSibling" : "previousSibling", - parent = elem.parentNode, - name = ofType && elem.nodeName.toLowerCase(), - useCache = !xml && !ofType, - diff = false; - - if ( parent ) { - - // :(first|last|only)-(child|of-type) - if ( simple ) { - while ( dir ) { - node = elem; - while ( (node = node[ dir ]) ) { - if ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) { - - return false; - } - } - // Reverse direction for :only-* (if we haven't yet done so) - start = dir = type === "only" && !start && "nextSibling"; - } - return true; - } - - start = [ forward ? parent.firstChild : parent.lastChild ]; - - // non-xml :nth-child(...) stores cache data on `parent` - if ( forward && useCache ) { - - // Seek `elem` from a previously-cached index - - // ...in a gzip-friendly way - node = parent; - outerCache = node[ expando ] || (node[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - (outerCache[ node.uniqueID ] = {}); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex && cache[ 2 ]; - node = nodeIndex && parent.childNodes[ nodeIndex ]; - - while ( (node = ++nodeIndex && node && node[ dir ] || - - // Fallback to seeking `elem` from the start - (diff = nodeIndex = 0) || start.pop()) ) { - - // When found, cache indexes on `parent` and break - if ( node.nodeType === 1 && ++diff && node === elem ) { - uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; - break; - } - } - - } else { - // Use previously-cached element index if available - if ( useCache ) { - // ...in a gzip-friendly way - node = elem; - outerCache = node[ expando ] || (node[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - (outerCache[ node.uniqueID ] = {}); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex; - } - - // xml :nth-child(...) - // or :nth-last-child(...) or :nth(-last)?-of-type(...) - if ( diff === false ) { - // Use the same loop as above to seek `elem` from the start - while ( (node = ++nodeIndex && node && node[ dir ] || - (diff = nodeIndex = 0) || start.pop()) ) { - - if ( ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) && - ++diff ) { - - // Cache the index of each encountered element - if ( useCache ) { - outerCache = node[ expando ] || (node[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - (outerCache[ node.uniqueID ] = {}); - - uniqueCache[ type ] = [ dirruns, diff ]; - } - - if ( node === elem ) { - break; - } - } - } - } - } - - // Incorporate the offset, then check against cycle size - diff -= last; - return diff === first || ( diff % first === 0 && diff / first >= 0 ); - } - }; - }, - - "PSEUDO": function( pseudo, argument ) { - // pseudo-class names are case-insensitive - // http://www.w3.org/TR/selectors/#pseudo-classes - // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters - // Remember that setFilters inherits from pseudos - var args, - fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || - Sizzle.error( "unsupported pseudo: " + pseudo ); - - // The user may use createPseudo to indicate that - // arguments are needed to create the filter function - // just as Sizzle does - if ( fn[ expando ] ) { - return fn( argument ); - } - - // But maintain support for old signatures - if ( fn.length > 1 ) { - args = [ pseudo, pseudo, "", argument ]; - return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? - markFunction(function( seed, matches ) { - var idx, - matched = fn( seed, argument ), - i = matched.length; - while ( i-- ) { - idx = indexOf( seed, matched[i] ); - seed[ idx ] = !( matches[ idx ] = matched[i] ); - } - }) : - function( elem ) { - return fn( elem, 0, args ); - }; - } - - return fn; - } - }, - - pseudos: { - // Potentially complex pseudos - "not": markFunction(function( selector ) { - // Trim the selector passed to compile - // to avoid treating leading and trailing - // spaces as combinators - var input = [], - results = [], - matcher = compile( selector.replace( rtrim, "$1" ) ); - - return matcher[ expando ] ? - markFunction(function( seed, matches, context, xml ) { - var elem, - unmatched = matcher( seed, null, xml, [] ), - i = seed.length; - - // Match elements unmatched by `matcher` - while ( i-- ) { - if ( (elem = unmatched[i]) ) { - seed[i] = !(matches[i] = elem); - } - } - }) : - function( elem, context, xml ) { - input[0] = elem; - matcher( input, null, xml, results ); - // Don't keep the element (issue #299) - input[0] = null; - return !results.pop(); - }; - }), - - "has": markFunction(function( selector ) { - return function( elem ) { - return Sizzle( selector, elem ).length > 0; - }; - }), - - "contains": markFunction(function( text ) { - text = text.replace( runescape, funescape ); - return function( elem ) { - return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1; - }; - }), - - // "Whether an element is represented by a :lang() selector - // is based solely on the element's language value - // being equal to the identifier C, - // or beginning with the identifier C immediately followed by "-". - // The matching of C against the element's language value is performed case-insensitively. - // The identifier C does not have to be a valid language name." - // http://www.w3.org/TR/selectors/#lang-pseudo - "lang": markFunction( function( lang ) { - // lang value must be a valid identifier - if ( !ridentifier.test(lang || "") ) { - Sizzle.error( "unsupported lang: " + lang ); - } - lang = lang.replace( runescape, funescape ).toLowerCase(); - return function( elem ) { - var elemLang; - do { - if ( (elemLang = documentIsHTML ? - elem.lang : - elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) { - - elemLang = elemLang.toLowerCase(); - return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; - } - } while ( (elem = elem.parentNode) && elem.nodeType === 1 ); - return false; - }; - }), - - // Miscellaneous - "target": function( elem ) { - var hash = window.location && window.location.hash; - return hash && hash.slice( 1 ) === elem.id; - }, - - "root": function( elem ) { - return elem === docElem; - }, - - "focus": function( elem ) { - return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex); - }, - - // Boolean properties - "enabled": createDisabledPseudo( false ), - "disabled": createDisabledPseudo( true ), - - "checked": function( elem ) { - // In CSS3, :checked should return both checked and selected elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - var nodeName = elem.nodeName.toLowerCase(); - return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected); - }, - - "selected": function( elem ) { - // Accessing this property makes selected-by-default - // options in Safari work properly - if ( elem.parentNode ) { - elem.parentNode.selectedIndex; - } - - return elem.selected === true; - }, - - // Contents - "empty": function( elem ) { - // http://www.w3.org/TR/selectors/#empty-pseudo - // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), - // but not by others (comment: 8; processing instruction: 7; etc.) - // nodeType < 6 works because attributes (2) do not appear as children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - if ( elem.nodeType < 6 ) { - return false; - } - } - return true; - }, - - "parent": function( elem ) { - return !Expr.pseudos["empty"]( elem ); - }, - - // Element/input types - "header": function( elem ) { - return rheader.test( elem.nodeName ); - }, - - "input": function( elem ) { - return rinputs.test( elem.nodeName ); - }, - - "button": function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === "button" || name === "button"; - }, - - "text": function( elem ) { - var attr; - return elem.nodeName.toLowerCase() === "input" && - elem.type === "text" && - - // Support: IE<8 - // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" - ( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === "text" ); - }, - - // Position-in-collection - "first": createPositionalPseudo(function() { - return [ 0 ]; - }), - - "last": createPositionalPseudo(function( matchIndexes, length ) { - return [ length - 1 ]; - }), - - "eq": createPositionalPseudo(function( matchIndexes, length, argument ) { - return [ argument < 0 ? argument + length : argument ]; - }), - - "even": createPositionalPseudo(function( matchIndexes, length ) { - var i = 0; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "odd": createPositionalPseudo(function( matchIndexes, length ) { - var i = 1; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "lt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; --i >= 0; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "gt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; ++i < length; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }) - } -}; - -Expr.pseudos["nth"] = Expr.pseudos["eq"]; - -// Add button/input type pseudos -for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { - Expr.pseudos[ i ] = createInputPseudo( i ); -} -for ( i in { submit: true, reset: true } ) { - Expr.pseudos[ i ] = createButtonPseudo( i ); -} - -// Easy API for creating new setFilters -function setFilters() {} -setFilters.prototype = Expr.filters = Expr.pseudos; -Expr.setFilters = new setFilters(); - -tokenize = Sizzle.tokenize = function( selector, parseOnly ) { - var matched, match, tokens, type, - soFar, groups, preFilters, - cached = tokenCache[ selector + " " ]; - - if ( cached ) { - return parseOnly ? 0 : cached.slice( 0 ); - } - - soFar = selector; - groups = []; - preFilters = Expr.preFilter; - - while ( soFar ) { - - // Comma and first run - if ( !matched || (match = rcomma.exec( soFar )) ) { - if ( match ) { - // Don't consume trailing commas as valid - soFar = soFar.slice( match[0].length ) || soFar; - } - groups.push( (tokens = []) ); - } - - matched = false; - - // Combinators - if ( (match = rcombinators.exec( soFar )) ) { - matched = match.shift(); - tokens.push({ - value: matched, - // Cast descendant combinators to space - type: match[0].replace( rtrim, " " ) - }); - soFar = soFar.slice( matched.length ); - } - - // Filters - for ( type in Expr.filter ) { - if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] || - (match = preFilters[ type ]( match ))) ) { - matched = match.shift(); - tokens.push({ - value: matched, - type: type, - matches: match - }); - soFar = soFar.slice( matched.length ); - } - } - - if ( !matched ) { - break; - } - } - - // Return the length of the invalid excess - // if we're just parsing - // Otherwise, throw an error or return tokens - return parseOnly ? - soFar.length : - soFar ? - Sizzle.error( selector ) : - // Cache the tokens - tokenCache( selector, groups ).slice( 0 ); -}; - -function toSelector( tokens ) { - var i = 0, - len = tokens.length, - selector = ""; - for ( ; i < len; i++ ) { - selector += tokens[i].value; - } - return selector; -} - -function addCombinator( matcher, combinator, base ) { - var dir = combinator.dir, - skip = combinator.next, - key = skip || dir, - checkNonElements = base && key === "parentNode", - doneName = done++; - - return combinator.first ? - // Check against closest ancestor/preceding element - function( elem, context, xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - return matcher( elem, context, xml ); - } - } - return false; - } : - - // Check against all ancestor/preceding elements - function( elem, context, xml ) { - var oldCache, uniqueCache, outerCache, - newCache = [ dirruns, doneName ]; - - // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching - if ( xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - if ( matcher( elem, context, xml ) ) { - return true; - } - } - } - } else { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - outerCache = elem[ expando ] || (elem[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ elem.uniqueID ] || (outerCache[ elem.uniqueID ] = {}); - - if ( skip && skip === elem.nodeName.toLowerCase() ) { - elem = elem[ dir ] || elem; - } else if ( (oldCache = uniqueCache[ key ]) && - oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { - - // Assign to newCache so results back-propagate to previous elements - return (newCache[ 2 ] = oldCache[ 2 ]); - } else { - // Reuse newcache so results back-propagate to previous elements - uniqueCache[ key ] = newCache; - - // A match means we're done; a fail means we have to keep checking - if ( (newCache[ 2 ] = matcher( elem, context, xml )) ) { - return true; - } - } - } - } - } - return false; - }; -} - -function elementMatcher( matchers ) { - return matchers.length > 1 ? - function( elem, context, xml ) { - var i = matchers.length; - while ( i-- ) { - if ( !matchers[i]( elem, context, xml ) ) { - return false; - } - } - return true; - } : - matchers[0]; -} - -function multipleContexts( selector, contexts, results ) { - var i = 0, - len = contexts.length; - for ( ; i < len; i++ ) { - Sizzle( selector, contexts[i], results ); - } - return results; -} - -function condense( unmatched, map, filter, context, xml ) { - var elem, - newUnmatched = [], - i = 0, - len = unmatched.length, - mapped = map != null; - - for ( ; i < len; i++ ) { - if ( (elem = unmatched[i]) ) { - if ( !filter || filter( elem, context, xml ) ) { - newUnmatched.push( elem ); - if ( mapped ) { - map.push( i ); - } - } - } - } - - return newUnmatched; -} - -function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { - if ( postFilter && !postFilter[ expando ] ) { - postFilter = setMatcher( postFilter ); - } - if ( postFinder && !postFinder[ expando ] ) { - postFinder = setMatcher( postFinder, postSelector ); - } - return markFunction(function( seed, results, context, xml ) { - var temp, i, elem, - preMap = [], - postMap = [], - preexisting = results.length, - - // Get initial elements from seed or context - elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ), - - // Prefilter to get matcher input, preserving a map for seed-results synchronization - matcherIn = preFilter && ( seed || !selector ) ? - condense( elems, preMap, preFilter, context, xml ) : - elems, - - matcherOut = matcher ? - // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, - postFinder || ( seed ? preFilter : preexisting || postFilter ) ? - - // ...intermediate processing is necessary - [] : - - // ...otherwise use results directly - results : - matcherIn; - - // Find primary matches - if ( matcher ) { - matcher( matcherIn, matcherOut, context, xml ); - } - - // Apply postFilter - if ( postFilter ) { - temp = condense( matcherOut, postMap ); - postFilter( temp, [], context, xml ); - - // Un-match failing elements by moving them back to matcherIn - i = temp.length; - while ( i-- ) { - if ( (elem = temp[i]) ) { - matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem); - } - } - } - - if ( seed ) { - if ( postFinder || preFilter ) { - if ( postFinder ) { - // Get the final matcherOut by condensing this intermediate into postFinder contexts - temp = []; - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) ) { - // Restore matcherIn since elem is not yet a final match - temp.push( (matcherIn[i] = elem) ); - } - } - postFinder( null, (matcherOut = []), temp, xml ); - } - - // Move matched elements from seed to results to keep them synchronized - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) && - (temp = postFinder ? indexOf( seed, elem ) : preMap[i]) > -1 ) { - - seed[temp] = !(results[temp] = elem); - } - } - } - - // Add elements to results, through postFinder if defined - } else { - matcherOut = condense( - matcherOut === results ? - matcherOut.splice( preexisting, matcherOut.length ) : - matcherOut - ); - if ( postFinder ) { - postFinder( null, results, matcherOut, xml ); - } else { - push.apply( results, matcherOut ); - } - } - }); -} - -function matcherFromTokens( tokens ) { - var checkContext, matcher, j, - len = tokens.length, - leadingRelative = Expr.relative[ tokens[0].type ], - implicitRelative = leadingRelative || Expr.relative[" "], - i = leadingRelative ? 1 : 0, - - // The foundational matcher ensures that elements are reachable from top-level context(s) - matchContext = addCombinator( function( elem ) { - return elem === checkContext; - }, implicitRelative, true ), - matchAnyContext = addCombinator( function( elem ) { - return indexOf( checkContext, elem ) > -1; - }, implicitRelative, true ), - matchers = [ function( elem, context, xml ) { - var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( - (checkContext = context).nodeType ? - matchContext( elem, context, xml ) : - matchAnyContext( elem, context, xml ) ); - // Avoid hanging onto element (issue #299) - checkContext = null; - return ret; - } ]; - - for ( ; i < len; i++ ) { - if ( (matcher = Expr.relative[ tokens[i].type ]) ) { - matchers = [ addCombinator(elementMatcher( matchers ), matcher) ]; - } else { - matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches ); - - // Return special upon seeing a positional matcher - if ( matcher[ expando ] ) { - // Find the next relative operator (if any) for proper handling - j = ++i; - for ( ; j < len; j++ ) { - if ( Expr.relative[ tokens[j].type ] ) { - break; - } - } - return setMatcher( - i > 1 && elementMatcher( matchers ), - i > 1 && toSelector( - // If the preceding token was a descendant combinator, insert an implicit any-element `*` - tokens.slice( 0, i - 1 ).concat({ value: tokens[ i - 2 ].type === " " ? "*" : "" }) - ).replace( rtrim, "$1" ), - matcher, - i < j && matcherFromTokens( tokens.slice( i, j ) ), - j < len && matcherFromTokens( (tokens = tokens.slice( j )) ), - j < len && toSelector( tokens ) - ); - } - matchers.push( matcher ); - } - } - - return elementMatcher( matchers ); -} - -function matcherFromGroupMatchers( elementMatchers, setMatchers ) { - var bySet = setMatchers.length > 0, - byElement = elementMatchers.length > 0, - superMatcher = function( seed, context, xml, results, outermost ) { - var elem, j, matcher, - matchedCount = 0, - i = "0", - unmatched = seed && [], - setMatched = [], - contextBackup = outermostContext, - // We must always have either seed elements or outermost context - elems = seed || byElement && Expr.find["TAG"]( "*", outermost ), - // Use integer dirruns iff this is the outermost matcher - dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1), - len = elems.length; - - if ( outermost ) { - outermostContext = context === document || context || outermost; - } - - // Add elements passing elementMatchers directly to results - // Support: IE<9, Safari - // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id - for ( ; i !== len && (elem = elems[i]) != null; i++ ) { - if ( byElement && elem ) { - j = 0; - if ( !context && elem.ownerDocument !== document ) { - setDocument( elem ); - xml = !documentIsHTML; - } - while ( (matcher = elementMatchers[j++]) ) { - if ( matcher( elem, context || document, xml) ) { - results.push( elem ); - break; - } - } - if ( outermost ) { - dirruns = dirrunsUnique; - } - } - - // Track unmatched elements for set filters - if ( bySet ) { - // They will have gone through all possible matchers - if ( (elem = !matcher && elem) ) { - matchedCount--; - } - - // Lengthen the array for every element, matched or not - if ( seed ) { - unmatched.push( elem ); - } - } - } - - // `i` is now the count of elements visited above, and adding it to `matchedCount` - // makes the latter nonnegative. - matchedCount += i; - - // Apply set filters to unmatched elements - // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` - // equals `i`), unless we didn't visit _any_ elements in the above loop because we have - // no element matchers and no seed. - // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that - // case, which will result in a "00" `matchedCount` that differs from `i` but is also - // numerically zero. - if ( bySet && i !== matchedCount ) { - j = 0; - while ( (matcher = setMatchers[j++]) ) { - matcher( unmatched, setMatched, context, xml ); - } - - if ( seed ) { - // Reintegrate element matches to eliminate the need for sorting - if ( matchedCount > 0 ) { - while ( i-- ) { - if ( !(unmatched[i] || setMatched[i]) ) { - setMatched[i] = pop.call( results ); - } - } - } - - // Discard index placeholder values to get only actual matches - setMatched = condense( setMatched ); - } - - // Add matches to results - push.apply( results, setMatched ); - - // Seedless set matches succeeding multiple successful matchers stipulate sorting - if ( outermost && !seed && setMatched.length > 0 && - ( matchedCount + setMatchers.length ) > 1 ) { - - Sizzle.uniqueSort( results ); - } - } - - // Override manipulation of globals by nested matchers - if ( outermost ) { - dirruns = dirrunsUnique; - outermostContext = contextBackup; - } - - return unmatched; - }; - - return bySet ? - markFunction( superMatcher ) : - superMatcher; -} - -compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { - var i, - setMatchers = [], - elementMatchers = [], - cached = compilerCache[ selector + " " ]; - - if ( !cached ) { - // Generate a function of recursive functions that can be used to check each element - if ( !match ) { - match = tokenize( selector ); - } - i = match.length; - while ( i-- ) { - cached = matcherFromTokens( match[i] ); - if ( cached[ expando ] ) { - setMatchers.push( cached ); - } else { - elementMatchers.push( cached ); - } - } - - // Cache the compiled function - cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) ); - - // Save selector and tokenization - cached.selector = selector; - } - return cached; -}; - -/** - * A low-level selection function that works with Sizzle's compiled - * selector functions - * @param {String|Function} selector A selector or a pre-compiled - * selector function built with Sizzle.compile - * @param {Element} context - * @param {Array} [results] - * @param {Array} [seed] A set of elements to match against - */ -select = Sizzle.select = function( selector, context, results, seed ) { - var i, tokens, token, type, find, - compiled = typeof selector === "function" && selector, - match = !seed && tokenize( (selector = compiled.selector || selector) ); - - results = results || []; - - // Try to minimize operations if there is only one selector in the list and no seed - // (the latter of which guarantees us context) - if ( match.length === 1 ) { - - // Reduce context if the leading compound selector is an ID - tokens = match[0] = match[0].slice( 0 ); - if ( tokens.length > 2 && (token = tokens[0]).type === "ID" && - context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[1].type ] ) { - - context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0]; - if ( !context ) { - return results; - - // Precompiled matchers will still verify ancestry, so step up a level - } else if ( compiled ) { - context = context.parentNode; - } - - selector = selector.slice( tokens.shift().value.length ); - } - - // Fetch a seed set for right-to-left matching - i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length; - while ( i-- ) { - token = tokens[i]; - - // Abort if we hit a combinator - if ( Expr.relative[ (type = token.type) ] ) { - break; - } - if ( (find = Expr.find[ type ]) ) { - // Search, expanding context for leading sibling combinators - if ( (seed = find( - token.matches[0].replace( runescape, funescape ), - rsibling.test( tokens[0].type ) && testContext( context.parentNode ) || context - )) ) { - - // If seed is empty or no tokens remain, we can return early - tokens.splice( i, 1 ); - selector = seed.length && toSelector( tokens ); - if ( !selector ) { - push.apply( results, seed ); - return results; - } - - break; - } - } - } - } - - // Compile and execute a filtering function if one is not provided - // Provide `match` to avoid retokenization if we modified the selector above - ( compiled || compile( selector, match ) )( - seed, - context, - !documentIsHTML, - results, - !context || rsibling.test( selector ) && testContext( context.parentNode ) || context - ); - return results; -}; - -// One-time assignments - -// Sort stability -support.sortStable = expando.split("").sort( sortOrder ).join("") === expando; - -// Support: Chrome 14-35+ -// Always assume duplicates if they aren't passed to the comparison function -support.detectDuplicates = !!hasDuplicate; - -// Initialize against the default document -setDocument(); - -// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) -// Detached nodes confoundingly follow *each other* -support.sortDetached = assert(function( el ) { - // Should return 1, but returns 4 (following) - return el.compareDocumentPosition( document.createElement("fieldset") ) & 1; -}); - -// Support: IE<8 -// Prevent attribute/property "interpolation" -// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx -if ( !assert(function( el ) { - el.innerHTML = ""; - return el.firstChild.getAttribute("href") === "#" ; -}) ) { - addHandle( "type|href|height|width", function( elem, name, isXML ) { - if ( !isXML ) { - return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); - } - }); -} - -// Support: IE<9 -// Use defaultValue in place of getAttribute("value") -if ( !support.attributes || !assert(function( el ) { - el.innerHTML = ""; - el.firstChild.setAttribute( "value", "" ); - return el.firstChild.getAttribute( "value" ) === ""; -}) ) { - addHandle( "value", function( elem, name, isXML ) { - if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { - return elem.defaultValue; - } - }); -} - -// Support: IE<9 -// Use getAttributeNode to fetch booleans when getAttribute lies -if ( !assert(function( el ) { - return el.getAttribute("disabled") == null; -}) ) { - addHandle( booleans, function( elem, name, isXML ) { - var val; - if ( !isXML ) { - return elem[ name ] === true ? name.toLowerCase() : - (val = elem.getAttributeNode( name )) && val.specified ? - val.value : - null; - } - }); -} - -return Sizzle; - -})( window ); - - - -jQuery.find = Sizzle; -jQuery.expr = Sizzle.selectors; - -// Deprecated -jQuery.expr[ ":" ] = jQuery.expr.pseudos; -jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; -jQuery.text = Sizzle.getText; -jQuery.isXMLDoc = Sizzle.isXML; -jQuery.contains = Sizzle.contains; -jQuery.escapeSelector = Sizzle.escape; - - - - -var dir = function( elem, dir, until ) { - var matched = [], - truncate = until !== undefined; - - while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { - if ( elem.nodeType === 1 ) { - if ( truncate && jQuery( elem ).is( until ) ) { - break; - } - matched.push( elem ); - } - } - return matched; -}; - - -var siblings = function( n, elem ) { - var matched = []; - - for ( ; n; n = n.nextSibling ) { - if ( n.nodeType === 1 && n !== elem ) { - matched.push( n ); - } - } - - return matched; -}; - - -var rneedsContext = jQuery.expr.match.needsContext; - - - -function nodeName( elem, name ) { - - return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); - -}; -var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); - - - -var risSimple = /^.[^:#\[\.,]*$/; - -// Implement the identical functionality for filter and not -function winnow( elements, qualifier, not ) { - if ( jQuery.isFunction( qualifier ) ) { - return jQuery.grep( elements, function( elem, i ) { - return !!qualifier.call( elem, i, elem ) !== not; - } ); - } - - // Single element - if ( qualifier.nodeType ) { - return jQuery.grep( elements, function( elem ) { - return ( elem === qualifier ) !== not; - } ); - } - - // Arraylike of elements (jQuery, arguments, Array) - if ( typeof qualifier !== "string" ) { - return jQuery.grep( elements, function( elem ) { - return ( indexOf.call( qualifier, elem ) > -1 ) !== not; - } ); - } - - // Simple selector that can be filtered directly, removing non-Elements - if ( risSimple.test( qualifier ) ) { - return jQuery.filter( qualifier, elements, not ); - } - - // Complex selector, compare the two sets, removing non-Elements - qualifier = jQuery.filter( qualifier, elements ); - return jQuery.grep( elements, function( elem ) { - return ( indexOf.call( qualifier, elem ) > -1 ) !== not && elem.nodeType === 1; - } ); -} - -jQuery.filter = function( expr, elems, not ) { - var elem = elems[ 0 ]; - - if ( not ) { - expr = ":not(" + expr + ")"; - } - - if ( elems.length === 1 && elem.nodeType === 1 ) { - return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; - } - - return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { - return elem.nodeType === 1; - } ) ); -}; - -jQuery.fn.extend( { - find: function( selector ) { - var i, ret, - len = this.length, - self = this; - - if ( typeof selector !== "string" ) { - return this.pushStack( jQuery( selector ).filter( function() { - for ( i = 0; i < len; i++ ) { - if ( jQuery.contains( self[ i ], this ) ) { - return true; - } - } - } ) ); - } - - ret = this.pushStack( [] ); - - for ( i = 0; i < len; i++ ) { - jQuery.find( selector, self[ i ], ret ); - } - - return len > 1 ? jQuery.uniqueSort( ret ) : ret; - }, - filter: function( selector ) { - return this.pushStack( winnow( this, selector || [], false ) ); - }, - not: function( selector ) { - return this.pushStack( winnow( this, selector || [], true ) ); - }, - is: function( selector ) { - return !!winnow( - this, - - // If this is a positional/relative selector, check membership in the returned set - // so $("p:first").is("p:last") won't return true for a doc with two "p". - typeof selector === "string" && rneedsContext.test( selector ) ? - jQuery( selector ) : - selector || [], - false - ).length; - } -} ); - - -// Initialize a jQuery object - - -// A central reference to the root jQuery(document) -var rootjQuery, - - // A simple way to check for HTML strings - // Prioritize #id over to avoid XSS via location.hash (#9521) - // Strict HTML recognition (#11290: must start with <) - // Shortcut simple #id case for speed - rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, - - init = jQuery.fn.init = function( selector, context, root ) { - var match, elem; - - // HANDLE: $(""), $(null), $(undefined), $(false) - if ( !selector ) { - return this; - } - - // Method init() accepts an alternate rootjQuery - // so migrate can support jQuery.sub (gh-2101) - root = root || rootjQuery; - - // Handle HTML strings - if ( typeof selector === "string" ) { - if ( selector[ 0 ] === "<" && - selector[ selector.length - 1 ] === ">" && - selector.length >= 3 ) { - - // Assume that strings that start and end with <> are HTML and skip the regex check - match = [ null, selector, null ]; - - } else { - match = rquickExpr.exec( selector ); - } - - // Match html or make sure no context is specified for #id - if ( match && ( match[ 1 ] || !context ) ) { - - // HANDLE: $(html) -> $(array) - if ( match[ 1 ] ) { - context = context instanceof jQuery ? context[ 0 ] : context; - - // Option to run scripts is true for back-compat - // Intentionally let the error be thrown if parseHTML is not present - jQuery.merge( this, jQuery.parseHTML( - match[ 1 ], - context && context.nodeType ? context.ownerDocument || context : document, - true - ) ); - - // HANDLE: $(html, props) - if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { - for ( match in context ) { - - // Properties of context are called as methods if possible - if ( jQuery.isFunction( this[ match ] ) ) { - this[ match ]( context[ match ] ); - - // ...and otherwise set as attributes - } else { - this.attr( match, context[ match ] ); - } - } - } - - return this; - - // HANDLE: $(#id) - } else { - elem = document.getElementById( match[ 2 ] ); - - if ( elem ) { - - // Inject the element directly into the jQuery object - this[ 0 ] = elem; - this.length = 1; - } - return this; - } - - // HANDLE: $(expr, $(...)) - } else if ( !context || context.jquery ) { - return ( context || root ).find( selector ); - - // HANDLE: $(expr, context) - // (which is just equivalent to: $(context).find(expr) - } else { - return this.constructor( context ).find( selector ); - } - - // HANDLE: $(DOMElement) - } else if ( selector.nodeType ) { - this[ 0 ] = selector; - this.length = 1; - return this; - - // HANDLE: $(function) - // Shortcut for document ready - } else if ( jQuery.isFunction( selector ) ) { - return root.ready !== undefined ? - root.ready( selector ) : - - // Execute immediately if ready is not present - selector( jQuery ); - } - - return jQuery.makeArray( selector, this ); - }; - -// Give the init function the jQuery prototype for later instantiation -init.prototype = jQuery.fn; - -// Initialize central reference -rootjQuery = jQuery( document ); - - -var rparentsprev = /^(?:parents|prev(?:Until|All))/, - - // Methods guaranteed to produce a unique set when starting from a unique set - guaranteedUnique = { - children: true, - contents: true, - next: true, - prev: true - }; - -jQuery.fn.extend( { - has: function( target ) { - var targets = jQuery( target, this ), - l = targets.length; - - return this.filter( function() { - var i = 0; - for ( ; i < l; i++ ) { - if ( jQuery.contains( this, targets[ i ] ) ) { - return true; - } - } - } ); - }, - - closest: function( selectors, context ) { - var cur, - i = 0, - l = this.length, - matched = [], - targets = typeof selectors !== "string" && jQuery( selectors ); - - // Positional selectors never match, since there's no _selection_ context - if ( !rneedsContext.test( selectors ) ) { - for ( ; i < l; i++ ) { - for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { - - // Always skip document fragments - if ( cur.nodeType < 11 && ( targets ? - targets.index( cur ) > -1 : - - // Don't pass non-elements to Sizzle - cur.nodeType === 1 && - jQuery.find.matchesSelector( cur, selectors ) ) ) { - - matched.push( cur ); - break; - } - } - } - } - - return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); - }, - - // Determine the position of an element within the set - index: function( elem ) { - - // No argument, return index in parent - if ( !elem ) { - return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; - } - - // Index in selector - if ( typeof elem === "string" ) { - return indexOf.call( jQuery( elem ), this[ 0 ] ); - } - - // Locate the position of the desired element - return indexOf.call( this, - - // If it receives a jQuery object, the first element is used - elem.jquery ? elem[ 0 ] : elem - ); - }, - - add: function( selector, context ) { - return this.pushStack( - jQuery.uniqueSort( - jQuery.merge( this.get(), jQuery( selector, context ) ) - ) - ); - }, - - addBack: function( selector ) { - return this.add( selector == null ? - this.prevObject : this.prevObject.filter( selector ) - ); - } -} ); - -function sibling( cur, dir ) { - while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} - return cur; -} - -jQuery.each( { - parent: function( elem ) { - var parent = elem.parentNode; - return parent && parent.nodeType !== 11 ? parent : null; - }, - parents: function( elem ) { - return dir( elem, "parentNode" ); - }, - parentsUntil: function( elem, i, until ) { - return dir( elem, "parentNode", until ); - }, - next: function( elem ) { - return sibling( elem, "nextSibling" ); - }, - prev: function( elem ) { - return sibling( elem, "previousSibling" ); - }, - nextAll: function( elem ) { - return dir( elem, "nextSibling" ); - }, - prevAll: function( elem ) { - return dir( elem, "previousSibling" ); - }, - nextUntil: function( elem, i, until ) { - return dir( elem, "nextSibling", until ); - }, - prevUntil: function( elem, i, until ) { - return dir( elem, "previousSibling", until ); - }, - siblings: function( elem ) { - return siblings( ( elem.parentNode || {} ).firstChild, elem ); - }, - children: function( elem ) { - return siblings( elem.firstChild ); - }, - contents: function( elem ) { - if ( nodeName( elem, "iframe" ) ) { - return elem.contentDocument; - } - - // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only - // Treat the template element as a regular one in browsers that - // don't support it. - if ( nodeName( elem, "template" ) ) { - elem = elem.content || elem; - } - - return jQuery.merge( [], elem.childNodes ); - } -}, function( name, fn ) { - jQuery.fn[ name ] = function( until, selector ) { - var matched = jQuery.map( this, fn, until ); - - if ( name.slice( -5 ) !== "Until" ) { - selector = until; - } - - if ( selector && typeof selector === "string" ) { - matched = jQuery.filter( selector, matched ); - } - - if ( this.length > 1 ) { - - // Remove duplicates - if ( !guaranteedUnique[ name ] ) { - jQuery.uniqueSort( matched ); - } - - // Reverse order for parents* and prev-derivatives - if ( rparentsprev.test( name ) ) { - matched.reverse(); - } - } - - return this.pushStack( matched ); - }; -} ); -var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); - - - -// Convert String-formatted options into Object-formatted ones -function createOptions( options ) { - var object = {}; - jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { - object[ flag ] = true; - } ); - return object; -} - -/* - * Create a callback list using the following parameters: - * - * options: an optional list of space-separated options that will change how - * the callback list behaves or a more traditional option object - * - * By default a callback list will act like an event callback list and can be - * "fired" multiple times. - * - * Possible options: - * - * once: will ensure the callback list can only be fired once (like a Deferred) - * - * memory: will keep track of previous values and will call any callback added - * after the list has been fired right away with the latest "memorized" - * values (like a Deferred) - * - * unique: will ensure a callback can only be added once (no duplicate in the list) - * - * stopOnFalse: interrupt callings when a callback returns false - * - */ -jQuery.Callbacks = function( options ) { - - // Convert options from String-formatted to Object-formatted if needed - // (we check in cache first) - options = typeof options === "string" ? - createOptions( options ) : - jQuery.extend( {}, options ); - - var // Flag to know if list is currently firing - firing, - - // Last fire value for non-forgettable lists - memory, - - // Flag to know if list was already fired - fired, - - // Flag to prevent firing - locked, - - // Actual callback list - list = [], - - // Queue of execution data for repeatable lists - queue = [], - - // Index of currently firing callback (modified by add/remove as needed) - firingIndex = -1, - - // Fire callbacks - fire = function() { - - // Enforce single-firing - locked = locked || options.once; - - // Execute callbacks for all pending executions, - // respecting firingIndex overrides and runtime changes - fired = firing = true; - for ( ; queue.length; firingIndex = -1 ) { - memory = queue.shift(); - while ( ++firingIndex < list.length ) { - - // Run callback and check for early termination - if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && - options.stopOnFalse ) { - - // Jump to end and forget the data so .add doesn't re-fire - firingIndex = list.length; - memory = false; - } - } - } - - // Forget the data if we're done with it - if ( !options.memory ) { - memory = false; - } - - firing = false; - - // Clean up if we're done firing for good - if ( locked ) { - - // Keep an empty list if we have data for future add calls - if ( memory ) { - list = []; - - // Otherwise, this object is spent - } else { - list = ""; - } - } - }, - - // Actual Callbacks object - self = { - - // Add a callback or a collection of callbacks to the list - add: function() { - if ( list ) { - - // If we have memory from a past run, we should fire after adding - if ( memory && !firing ) { - firingIndex = list.length - 1; - queue.push( memory ); - } - - ( function add( args ) { - jQuery.each( args, function( _, arg ) { - if ( jQuery.isFunction( arg ) ) { - if ( !options.unique || !self.has( arg ) ) { - list.push( arg ); - } - } else if ( arg && arg.length && jQuery.type( arg ) !== "string" ) { - - // Inspect recursively - add( arg ); - } - } ); - } )( arguments ); - - if ( memory && !firing ) { - fire(); - } - } - return this; - }, - - // Remove a callback from the list - remove: function() { - jQuery.each( arguments, function( _, arg ) { - var index; - while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { - list.splice( index, 1 ); - - // Handle firing indexes - if ( index <= firingIndex ) { - firingIndex--; - } - } - } ); - return this; - }, - - // Check if a given callback is in the list. - // If no argument is given, return whether or not list has callbacks attached. - has: function( fn ) { - return fn ? - jQuery.inArray( fn, list ) > -1 : - list.length > 0; - }, - - // Remove all callbacks from the list - empty: function() { - if ( list ) { - list = []; - } - return this; - }, - - // Disable .fire and .add - // Abort any current/pending executions - // Clear all callbacks and values - disable: function() { - locked = queue = []; - list = memory = ""; - return this; - }, - disabled: function() { - return !list; - }, - - // Disable .fire - // Also disable .add unless we have memory (since it would have no effect) - // Abort any pending executions - lock: function() { - locked = queue = []; - if ( !memory && !firing ) { - list = memory = ""; - } - return this; - }, - locked: function() { - return !!locked; - }, - - // Call all callbacks with the given context and arguments - fireWith: function( context, args ) { - if ( !locked ) { - args = args || []; - args = [ context, args.slice ? args.slice() : args ]; - queue.push( args ); - if ( !firing ) { - fire(); - } - } - return this; - }, - - // Call all the callbacks with the given arguments - fire: function() { - self.fireWith( this, arguments ); - return this; - }, - - // To know if the callbacks have already been called at least once - fired: function() { - return !!fired; - } - }; - - return self; -}; - - -function Identity( v ) { - return v; -} -function Thrower( ex ) { - throw ex; -} - -function adoptValue( value, resolve, reject, noValue ) { - var method; - - try { - - // Check for promise aspect first to privilege synchronous behavior - if ( value && jQuery.isFunction( ( method = value.promise ) ) ) { - method.call( value ).done( resolve ).fail( reject ); - - // Other thenables - } else if ( value && jQuery.isFunction( ( method = value.then ) ) ) { - method.call( value, resolve, reject ); - - // Other non-thenables - } else { - - // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: - // * false: [ value ].slice( 0 ) => resolve( value ) - // * true: [ value ].slice( 1 ) => resolve() - resolve.apply( undefined, [ value ].slice( noValue ) ); - } - - // For Promises/A+, convert exceptions into rejections - // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in - // Deferred#then to conditionally suppress rejection. - } catch ( value ) { - - // Support: Android 4.0 only - // Strict mode functions invoked without .call/.apply get global-object context - reject.apply( undefined, [ value ] ); - } -} - -jQuery.extend( { - - Deferred: function( func ) { - var tuples = [ - - // action, add listener, callbacks, - // ... .then handlers, argument index, [final state] - [ "notify", "progress", jQuery.Callbacks( "memory" ), - jQuery.Callbacks( "memory" ), 2 ], - [ "resolve", "done", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 0, "resolved" ], - [ "reject", "fail", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 1, "rejected" ] - ], - state = "pending", - promise = { - state: function() { - return state; - }, - always: function() { - deferred.done( arguments ).fail( arguments ); - return this; - }, - "catch": function( fn ) { - return promise.then( null, fn ); - }, - - // Keep pipe for back-compat - pipe: function( /* fnDone, fnFail, fnProgress */ ) { - var fns = arguments; - - return jQuery.Deferred( function( newDefer ) { - jQuery.each( tuples, function( i, tuple ) { - - // Map tuples (progress, done, fail) to arguments (done, fail, progress) - var fn = jQuery.isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; - - // deferred.progress(function() { bind to newDefer or newDefer.notify }) - // deferred.done(function() { bind to newDefer or newDefer.resolve }) - // deferred.fail(function() { bind to newDefer or newDefer.reject }) - deferred[ tuple[ 1 ] ]( function() { - var returned = fn && fn.apply( this, arguments ); - if ( returned && jQuery.isFunction( returned.promise ) ) { - returned.promise() - .progress( newDefer.notify ) - .done( newDefer.resolve ) - .fail( newDefer.reject ); - } else { - newDefer[ tuple[ 0 ] + "With" ]( - this, - fn ? [ returned ] : arguments - ); - } - } ); - } ); - fns = null; - } ).promise(); - }, - then: function( onFulfilled, onRejected, onProgress ) { - var maxDepth = 0; - function resolve( depth, deferred, handler, special ) { - return function() { - var that = this, - args = arguments, - mightThrow = function() { - var returned, then; - - // Support: Promises/A+ section 2.3.3.3.3 - // https://promisesaplus.com/#point-59 - // Ignore double-resolution attempts - if ( depth < maxDepth ) { - return; - } - - returned = handler.apply( that, args ); - - // Support: Promises/A+ section 2.3.1 - // https://promisesaplus.com/#point-48 - if ( returned === deferred.promise() ) { - throw new TypeError( "Thenable self-resolution" ); - } - - // Support: Promises/A+ sections 2.3.3.1, 3.5 - // https://promisesaplus.com/#point-54 - // https://promisesaplus.com/#point-75 - // Retrieve `then` only once - then = returned && - - // Support: Promises/A+ section 2.3.4 - // https://promisesaplus.com/#point-64 - // Only check objects and functions for thenability - ( typeof returned === "object" || - typeof returned === "function" ) && - returned.then; - - // Handle a returned thenable - if ( jQuery.isFunction( then ) ) { - - // Special processors (notify) just wait for resolution - if ( special ) { - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ) - ); - - // Normal processors (resolve) also hook into progress - } else { - - // ...and disregard older resolution values - maxDepth++; - - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ), - resolve( maxDepth, deferred, Identity, - deferred.notifyWith ) - ); - } - - // Handle all other returned values - } else { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Identity ) { - that = undefined; - args = [ returned ]; - } - - // Process the value(s) - // Default process is resolve - ( special || deferred.resolveWith )( that, args ); - } - }, - - // Only normal processors (resolve) catch and reject exceptions - process = special ? - mightThrow : - function() { - try { - mightThrow(); - } catch ( e ) { - - if ( jQuery.Deferred.exceptionHook ) { - jQuery.Deferred.exceptionHook( e, - process.stackTrace ); - } - - // Support: Promises/A+ section 2.3.3.3.4.1 - // https://promisesaplus.com/#point-61 - // Ignore post-resolution exceptions - if ( depth + 1 >= maxDepth ) { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Thrower ) { - that = undefined; - args = [ e ]; - } - - deferred.rejectWith( that, args ); - } - } - }; - - // Support: Promises/A+ section 2.3.3.3.1 - // https://promisesaplus.com/#point-57 - // Re-resolve promises immediately to dodge false rejection from - // subsequent errors - if ( depth ) { - process(); - } else { - - // Call an optional hook to record the stack, in case of exception - // since it's otherwise lost when execution goes async - if ( jQuery.Deferred.getStackHook ) { - process.stackTrace = jQuery.Deferred.getStackHook(); - } - window.setTimeout( process ); - } - }; - } - - return jQuery.Deferred( function( newDefer ) { - - // progress_handlers.add( ... ) - tuples[ 0 ][ 3 ].add( - resolve( - 0, - newDefer, - jQuery.isFunction( onProgress ) ? - onProgress : - Identity, - newDefer.notifyWith - ) - ); - - // fulfilled_handlers.add( ... ) - tuples[ 1 ][ 3 ].add( - resolve( - 0, - newDefer, - jQuery.isFunction( onFulfilled ) ? - onFulfilled : - Identity - ) - ); - - // rejected_handlers.add( ... ) - tuples[ 2 ][ 3 ].add( - resolve( - 0, - newDefer, - jQuery.isFunction( onRejected ) ? - onRejected : - Thrower - ) - ); - } ).promise(); - }, - - // Get a promise for this deferred - // If obj is provided, the promise aspect is added to the object - promise: function( obj ) { - return obj != null ? jQuery.extend( obj, promise ) : promise; - } - }, - deferred = {}; - - // Add list-specific methods - jQuery.each( tuples, function( i, tuple ) { - var list = tuple[ 2 ], - stateString = tuple[ 5 ]; - - // promise.progress = list.add - // promise.done = list.add - // promise.fail = list.add - promise[ tuple[ 1 ] ] = list.add; - - // Handle state - if ( stateString ) { - list.add( - function() { - - // state = "resolved" (i.e., fulfilled) - // state = "rejected" - state = stateString; - }, - - // rejected_callbacks.disable - // fulfilled_callbacks.disable - tuples[ 3 - i ][ 2 ].disable, - - // progress_callbacks.lock - tuples[ 0 ][ 2 ].lock - ); - } - - // progress_handlers.fire - // fulfilled_handlers.fire - // rejected_handlers.fire - list.add( tuple[ 3 ].fire ); - - // deferred.notify = function() { deferred.notifyWith(...) } - // deferred.resolve = function() { deferred.resolveWith(...) } - // deferred.reject = function() { deferred.rejectWith(...) } - deferred[ tuple[ 0 ] ] = function() { - deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); - return this; - }; - - // deferred.notifyWith = list.fireWith - // deferred.resolveWith = list.fireWith - // deferred.rejectWith = list.fireWith - deferred[ tuple[ 0 ] + "With" ] = list.fireWith; - } ); - - // Make the deferred a promise - promise.promise( deferred ); - - // Call given func if any - if ( func ) { - func.call( deferred, deferred ); - } - - // All done! - return deferred; - }, - - // Deferred helper - when: function( singleValue ) { - var - - // count of uncompleted subordinates - remaining = arguments.length, - - // count of unprocessed arguments - i = remaining, - - // subordinate fulfillment data - resolveContexts = Array( i ), - resolveValues = slice.call( arguments ), - - // the master Deferred - master = jQuery.Deferred(), - - // subordinate callback factory - updateFunc = function( i ) { - return function( value ) { - resolveContexts[ i ] = this; - resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; - if ( !( --remaining ) ) { - master.resolveWith( resolveContexts, resolveValues ); - } - }; - }; - - // Single- and empty arguments are adopted like Promise.resolve - if ( remaining <= 1 ) { - adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject, - !remaining ); - - // Use .then() to unwrap secondary thenables (cf. gh-3000) - if ( master.state() === "pending" || - jQuery.isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { - - return master.then(); - } - } - - // Multiple arguments are aggregated like Promise.all array elements - while ( i-- ) { - adoptValue( resolveValues[ i ], updateFunc( i ), master.reject ); - } - - return master.promise(); - } -} ); - - -// These usually indicate a programmer mistake during development, -// warn about them ASAP rather than swallowing them by default. -var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; - -jQuery.Deferred.exceptionHook = function( error, stack ) { - - // Support: IE 8 - 9 only - // Console exists when dev tools are open, which can happen at any time - if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { - window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); - } -}; - - - - -jQuery.readyException = function( error ) { - window.setTimeout( function() { - throw error; - } ); -}; - - - - -// The deferred used on DOM ready -var readyList = jQuery.Deferred(); - -jQuery.fn.ready = function( fn ) { - - readyList - .then( fn ) - - // Wrap jQuery.readyException in a function so that the lookup - // happens at the time of error handling instead of callback - // registration. - .catch( function( error ) { - jQuery.readyException( error ); - } ); - - return this; -}; - -jQuery.extend( { - - // Is the DOM ready to be used? Set to true once it occurs. - isReady: false, - - // A counter to track how many items to wait for before - // the ready event fires. See #6781 - readyWait: 1, - - // Handle when the DOM is ready - ready: function( wait ) { - - // Abort if there are pending holds or we're already ready - if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { - return; - } - - // Remember that the DOM is ready - jQuery.isReady = true; - - // If a normal DOM Ready event fired, decrement, and wait if need be - if ( wait !== true && --jQuery.readyWait > 0 ) { - return; - } - - // If there are functions bound, to execute - readyList.resolveWith( document, [ jQuery ] ); - } -} ); - -jQuery.ready.then = readyList.then; - -// The ready event handler and self cleanup method -function completed() { - document.removeEventListener( "DOMContentLoaded", completed ); - window.removeEventListener( "load", completed ); - jQuery.ready(); -} - -// Catch cases where $(document).ready() is called -// after the browser event has already occurred. -// Support: IE <=9 - 10 only -// Older IE sometimes signals "interactive" too soon -if ( document.readyState === "complete" || - ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { - - // Handle it asynchronously to allow scripts the opportunity to delay ready - window.setTimeout( jQuery.ready ); - -} else { - - // Use the handy event callback - document.addEventListener( "DOMContentLoaded", completed ); - - // A fallback to window.onload, that will always work - window.addEventListener( "load", completed ); -} - - - - -// Multifunctional method to get and set values of a collection -// The value/s can optionally be executed if it's a function -var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { - var i = 0, - len = elems.length, - bulk = key == null; - - // Sets many values - if ( jQuery.type( key ) === "object" ) { - chainable = true; - for ( i in key ) { - access( elems, fn, i, key[ i ], true, emptyGet, raw ); - } - - // Sets one value - } else if ( value !== undefined ) { - chainable = true; - - if ( !jQuery.isFunction( value ) ) { - raw = true; - } - - if ( bulk ) { - - // Bulk operations run against the entire set - if ( raw ) { - fn.call( elems, value ); - fn = null; - - // ...except when executing function values - } else { - bulk = fn; - fn = function( elem, key, value ) { - return bulk.call( jQuery( elem ), value ); - }; - } - } - - if ( fn ) { - for ( ; i < len; i++ ) { - fn( - elems[ i ], key, raw ? - value : - value.call( elems[ i ], i, fn( elems[ i ], key ) ) - ); - } - } - } - - if ( chainable ) { - return elems; - } - - // Gets - if ( bulk ) { - return fn.call( elems ); - } - - return len ? fn( elems[ 0 ], key ) : emptyGet; -}; -var acceptData = function( owner ) { - - // Accepts only: - // - Node - // - Node.ELEMENT_NODE - // - Node.DOCUMENT_NODE - // - Object - // - Any - return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); -}; - - - - -function Data() { - this.expando = jQuery.expando + Data.uid++; -} - -Data.uid = 1; - -Data.prototype = { - - cache: function( owner ) { - - // Check if the owner object already has a cache - var value = owner[ this.expando ]; - - // If not, create one - if ( !value ) { - value = {}; - - // We can accept data for non-element nodes in modern browsers, - // but we should not, see #8335. - // Always return an empty object. - if ( acceptData( owner ) ) { - - // If it is a node unlikely to be stringify-ed or looped over - // use plain assignment - if ( owner.nodeType ) { - owner[ this.expando ] = value; - - // Otherwise secure it in a non-enumerable property - // configurable must be true to allow the property to be - // deleted when data is removed - } else { - Object.defineProperty( owner, this.expando, { - value: value, - configurable: true - } ); - } - } - } - - return value; - }, - set: function( owner, data, value ) { - var prop, - cache = this.cache( owner ); - - // Handle: [ owner, key, value ] args - // Always use camelCase key (gh-2257) - if ( typeof data === "string" ) { - cache[ jQuery.camelCase( data ) ] = value; - - // Handle: [ owner, { properties } ] args - } else { - - // Copy the properties one-by-one to the cache object - for ( prop in data ) { - cache[ jQuery.camelCase( prop ) ] = data[ prop ]; - } - } - return cache; - }, - get: function( owner, key ) { - return key === undefined ? - this.cache( owner ) : - - // Always use camelCase key (gh-2257) - owner[ this.expando ] && owner[ this.expando ][ jQuery.camelCase( key ) ]; - }, - access: function( owner, key, value ) { - - // In cases where either: - // - // 1. No key was specified - // 2. A string key was specified, but no value provided - // - // Take the "read" path and allow the get method to determine - // which value to return, respectively either: - // - // 1. The entire cache object - // 2. The data stored at the key - // - if ( key === undefined || - ( ( key && typeof key === "string" ) && value === undefined ) ) { - - return this.get( owner, key ); - } - - // When the key is not a string, or both a key and value - // are specified, set or extend (existing objects) with either: - // - // 1. An object of properties - // 2. A key and value - // - this.set( owner, key, value ); - - // Since the "set" path can have two possible entry points - // return the expected data based on which path was taken[*] - return value !== undefined ? value : key; - }, - remove: function( owner, key ) { - var i, - cache = owner[ this.expando ]; - - if ( cache === undefined ) { - return; - } - - if ( key !== undefined ) { - - // Support array or space separated string of keys - if ( Array.isArray( key ) ) { - - // If key is an array of keys... - // We always set camelCase keys, so remove that. - key = key.map( jQuery.camelCase ); - } else { - key = jQuery.camelCase( key ); - - // If a key with the spaces exists, use it. - // Otherwise, create an array by matching non-whitespace - key = key in cache ? - [ key ] : - ( key.match( rnothtmlwhite ) || [] ); - } - - i = key.length; - - while ( i-- ) { - delete cache[ key[ i ] ]; - } - } - - // Remove the expando if there's no more data - if ( key === undefined || jQuery.isEmptyObject( cache ) ) { - - // Support: Chrome <=35 - 45 - // Webkit & Blink performance suffers when deleting properties - // from DOM nodes, so set to undefined instead - // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) - if ( owner.nodeType ) { - owner[ this.expando ] = undefined; - } else { - delete owner[ this.expando ]; - } - } - }, - hasData: function( owner ) { - var cache = owner[ this.expando ]; - return cache !== undefined && !jQuery.isEmptyObject( cache ); - } -}; -var dataPriv = new Data(); - -var dataUser = new Data(); - - - -// Implementation Summary -// -// 1. Enforce API surface and semantic compatibility with 1.9.x branch -// 2. Improve the module's maintainability by reducing the storage -// paths to a single mechanism. -// 3. Use the same single mechanism to support "private" and "user" data. -// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) -// 5. Avoid exposing implementation details on user objects (eg. expando properties) -// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 - -var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, - rmultiDash = /[A-Z]/g; - -function getData( data ) { - if ( data === "true" ) { - return true; - } - - if ( data === "false" ) { - return false; - } - - if ( data === "null" ) { - return null; - } - - // Only convert to a number if it doesn't change the string - if ( data === +data + "" ) { - return +data; - } - - if ( rbrace.test( data ) ) { - return JSON.parse( data ); - } - - return data; -} - -function dataAttr( elem, key, data ) { - var name; - - // If nothing was found internally, try to fetch any - // data from the HTML5 data-* attribute - if ( data === undefined && elem.nodeType === 1 ) { - name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); - data = elem.getAttribute( name ); - - if ( typeof data === "string" ) { - try { - data = getData( data ); - } catch ( e ) {} - - // Make sure we set the data so it isn't changed later - dataUser.set( elem, key, data ); - } else { - data = undefined; - } - } - return data; -} - -jQuery.extend( { - hasData: function( elem ) { - return dataUser.hasData( elem ) || dataPriv.hasData( elem ); - }, - - data: function( elem, name, data ) { - return dataUser.access( elem, name, data ); - }, - - removeData: function( elem, name ) { - dataUser.remove( elem, name ); - }, - - // TODO: Now that all calls to _data and _removeData have been replaced - // with direct calls to dataPriv methods, these can be deprecated. - _data: function( elem, name, data ) { - return dataPriv.access( elem, name, data ); - }, - - _removeData: function( elem, name ) { - dataPriv.remove( elem, name ); - } -} ); - -jQuery.fn.extend( { - data: function( key, value ) { - var i, name, data, - elem = this[ 0 ], - attrs = elem && elem.attributes; - - // Gets all values - if ( key === undefined ) { - if ( this.length ) { - data = dataUser.get( elem ); - - if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { - i = attrs.length; - while ( i-- ) { - - // Support: IE 11 only - // The attrs elements can be null (#14894) - if ( attrs[ i ] ) { - name = attrs[ i ].name; - if ( name.indexOf( "data-" ) === 0 ) { - name = jQuery.camelCase( name.slice( 5 ) ); - dataAttr( elem, name, data[ name ] ); - } - } - } - dataPriv.set( elem, "hasDataAttrs", true ); - } - } - - return data; - } - - // Sets multiple values - if ( typeof key === "object" ) { - return this.each( function() { - dataUser.set( this, key ); - } ); - } - - return access( this, function( value ) { - var data; - - // The calling jQuery object (element matches) is not empty - // (and therefore has an element appears at this[ 0 ]) and the - // `value` parameter was not undefined. An empty jQuery object - // will result in `undefined` for elem = this[ 0 ] which will - // throw an exception if an attempt to read a data cache is made. - if ( elem && value === undefined ) { - - // Attempt to get data from the cache - // The key will always be camelCased in Data - data = dataUser.get( elem, key ); - if ( data !== undefined ) { - return data; - } - - // Attempt to "discover" the data in - // HTML5 custom data-* attrs - data = dataAttr( elem, key ); - if ( data !== undefined ) { - return data; - } - - // We tried really hard, but the data doesn't exist. - return; - } - - // Set the data... - this.each( function() { - - // We always store the camelCased key - dataUser.set( this, key, value ); - } ); - }, null, value, arguments.length > 1, null, true ); - }, - - removeData: function( key ) { - return this.each( function() { - dataUser.remove( this, key ); - } ); - } -} ); - - -jQuery.extend( { - queue: function( elem, type, data ) { - var queue; - - if ( elem ) { - type = ( type || "fx" ) + "queue"; - queue = dataPriv.get( elem, type ); - - // Speed up dequeue by getting out quickly if this is just a lookup - if ( data ) { - if ( !queue || Array.isArray( data ) ) { - queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); - } else { - queue.push( data ); - } - } - return queue || []; - } - }, - - dequeue: function( elem, type ) { - type = type || "fx"; - - var queue = jQuery.queue( elem, type ), - startLength = queue.length, - fn = queue.shift(), - hooks = jQuery._queueHooks( elem, type ), - next = function() { - jQuery.dequeue( elem, type ); - }; - - // If the fx queue is dequeued, always remove the progress sentinel - if ( fn === "inprogress" ) { - fn = queue.shift(); - startLength--; - } - - if ( fn ) { - - // Add a progress sentinel to prevent the fx queue from being - // automatically dequeued - if ( type === "fx" ) { - queue.unshift( "inprogress" ); - } - - // Clear up the last queue stop function - delete hooks.stop; - fn.call( elem, next, hooks ); - } - - if ( !startLength && hooks ) { - hooks.empty.fire(); - } - }, - - // Not public - generate a queueHooks object, or return the current one - _queueHooks: function( elem, type ) { - var key = type + "queueHooks"; - return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { - empty: jQuery.Callbacks( "once memory" ).add( function() { - dataPriv.remove( elem, [ type + "queue", key ] ); - } ) - } ); - } -} ); - -jQuery.fn.extend( { - queue: function( type, data ) { - var setter = 2; - - if ( typeof type !== "string" ) { - data = type; - type = "fx"; - setter--; - } - - if ( arguments.length < setter ) { - return jQuery.queue( this[ 0 ], type ); - } - - return data === undefined ? - this : - this.each( function() { - var queue = jQuery.queue( this, type, data ); - - // Ensure a hooks for this queue - jQuery._queueHooks( this, type ); - - if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { - jQuery.dequeue( this, type ); - } - } ); - }, - dequeue: function( type ) { - return this.each( function() { - jQuery.dequeue( this, type ); - } ); - }, - clearQueue: function( type ) { - return this.queue( type || "fx", [] ); - }, - - // Get a promise resolved when queues of a certain type - // are emptied (fx is the type by default) - promise: function( type, obj ) { - var tmp, - count = 1, - defer = jQuery.Deferred(), - elements = this, - i = this.length, - resolve = function() { - if ( !( --count ) ) { - defer.resolveWith( elements, [ elements ] ); - } - }; - - if ( typeof type !== "string" ) { - obj = type; - type = undefined; - } - type = type || "fx"; - - while ( i-- ) { - tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); - if ( tmp && tmp.empty ) { - count++; - tmp.empty.add( resolve ); - } - } - resolve(); - return defer.promise( obj ); - } -} ); -var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; - -var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); - - -var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; - -var isHiddenWithinTree = function( elem, el ) { - - // isHiddenWithinTree might be called from jQuery#filter function; - // in that case, element will be second argument - elem = el || elem; - - // Inline style trumps all - return elem.style.display === "none" || - elem.style.display === "" && - - // Otherwise, check computed style - // Support: Firefox <=43 - 45 - // Disconnected elements can have computed display: none, so first confirm that elem is - // in the document. - jQuery.contains( elem.ownerDocument, elem ) && - - jQuery.css( elem, "display" ) === "none"; - }; - -var swap = function( elem, options, callback, args ) { - var ret, name, - old = {}; - - // Remember the old values, and insert the new ones - for ( name in options ) { - old[ name ] = elem.style[ name ]; - elem.style[ name ] = options[ name ]; - } - - ret = callback.apply( elem, args || [] ); - - // Revert the old values - for ( name in options ) { - elem.style[ name ] = old[ name ]; - } - - return ret; -}; - - - - -function adjustCSS( elem, prop, valueParts, tween ) { - var adjusted, - scale = 1, - maxIterations = 20, - currentValue = tween ? - function() { - return tween.cur(); - } : - function() { - return jQuery.css( elem, prop, "" ); - }, - initial = currentValue(), - unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), - - // Starting value computation is required for potential unit mismatches - initialInUnit = ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && - rcssNum.exec( jQuery.css( elem, prop ) ); - - if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { - - // Trust units reported by jQuery.css - unit = unit || initialInUnit[ 3 ]; - - // Make sure we update the tween properties later on - valueParts = valueParts || []; - - // Iteratively approximate from a nonzero starting point - initialInUnit = +initial || 1; - - do { - - // If previous iteration zeroed out, double until we get *something*. - // Use string for doubling so we don't accidentally see scale as unchanged below - scale = scale || ".5"; - - // Adjust and apply - initialInUnit = initialInUnit / scale; - jQuery.style( elem, prop, initialInUnit + unit ); - - // Update scale, tolerating zero or NaN from tween.cur() - // Break the loop if scale is unchanged or perfect, or if we've just had enough. - } while ( - scale !== ( scale = currentValue() / initial ) && scale !== 1 && --maxIterations - ); - } - - if ( valueParts ) { - initialInUnit = +initialInUnit || +initial || 0; - - // Apply relative offset (+=/-=) if specified - adjusted = valueParts[ 1 ] ? - initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : - +valueParts[ 2 ]; - if ( tween ) { - tween.unit = unit; - tween.start = initialInUnit; - tween.end = adjusted; - } - } - return adjusted; -} - - -var defaultDisplayMap = {}; - -function getDefaultDisplay( elem ) { - var temp, - doc = elem.ownerDocument, - nodeName = elem.nodeName, - display = defaultDisplayMap[ nodeName ]; - - if ( display ) { - return display; - } - - temp = doc.body.appendChild( doc.createElement( nodeName ) ); - display = jQuery.css( temp, "display" ); - - temp.parentNode.removeChild( temp ); - - if ( display === "none" ) { - display = "block"; - } - defaultDisplayMap[ nodeName ] = display; - - return display; -} - -function showHide( elements, show ) { - var display, elem, - values = [], - index = 0, - length = elements.length; - - // Determine new display value for elements that need to change - for ( ; index < length; index++ ) { - elem = elements[ index ]; - if ( !elem.style ) { - continue; - } - - display = elem.style.display; - if ( show ) { - - // Since we force visibility upon cascade-hidden elements, an immediate (and slow) - // check is required in this first loop unless we have a nonempty display value (either - // inline or about-to-be-restored) - if ( display === "none" ) { - values[ index ] = dataPriv.get( elem, "display" ) || null; - if ( !values[ index ] ) { - elem.style.display = ""; - } - } - if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { - values[ index ] = getDefaultDisplay( elem ); - } - } else { - if ( display !== "none" ) { - values[ index ] = "none"; - - // Remember what we're overwriting - dataPriv.set( elem, "display", display ); - } - } - } - - // Set the display of the elements in a second loop to avoid constant reflow - for ( index = 0; index < length; index++ ) { - if ( values[ index ] != null ) { - elements[ index ].style.display = values[ index ]; - } - } - - return elements; -} - -jQuery.fn.extend( { - show: function() { - return showHide( this, true ); - }, - hide: function() { - return showHide( this ); - }, - toggle: function( state ) { - if ( typeof state === "boolean" ) { - return state ? this.show() : this.hide(); - } - - return this.each( function() { - if ( isHiddenWithinTree( this ) ) { - jQuery( this ).show(); - } else { - jQuery( this ).hide(); - } - } ); - } -} ); -var rcheckableType = ( /^(?:checkbox|radio)$/i ); - -var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]+)/i ); - -var rscriptType = ( /^$|\/(?:java|ecma)script/i ); - - - -// We have to close these tags to support XHTML (#13200) -var wrapMap = { - - // Support: IE <=9 only - option: [ 1, "" ], - - // XHTML parsers do not magically insert elements in the - // same way that tag soup parsers do. So we cannot shorten - // this by omitting or other required elements. - thead: [ 1, "", "
" ], - col: [ 2, "", "
" ], - tr: [ 2, "", "
" ], - td: [ 3, "", "
" ], - - _default: [ 0, "", "" ] -}; - -// Support: IE <=9 only -wrapMap.optgroup = wrapMap.option; - -wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; -wrapMap.th = wrapMap.td; - - -function getAll( context, tag ) { - - // Support: IE <=9 - 11 only - // Use typeof to avoid zero-argument method invocation on host objects (#15151) - var ret; - - if ( typeof context.getElementsByTagName !== "undefined" ) { - ret = context.getElementsByTagName( tag || "*" ); - - } else if ( typeof context.querySelectorAll !== "undefined" ) { - ret = context.querySelectorAll( tag || "*" ); - - } else { - ret = []; - } - - if ( tag === undefined || tag && nodeName( context, tag ) ) { - return jQuery.merge( [ context ], ret ); - } - - return ret; -} - - -// Mark scripts as having already been evaluated -function setGlobalEval( elems, refElements ) { - var i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - dataPriv.set( - elems[ i ], - "globalEval", - !refElements || dataPriv.get( refElements[ i ], "globalEval" ) - ); - } -} - - -var rhtml = /<|&#?\w+;/; - -function buildFragment( elems, context, scripts, selection, ignored ) { - var elem, tmp, tag, wrap, contains, j, - fragment = context.createDocumentFragment(), - nodes = [], - i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - elem = elems[ i ]; - - if ( elem || elem === 0 ) { - - // Add nodes directly - if ( jQuery.type( elem ) === "object" ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); - - // Convert non-html into a text node - } else if ( !rhtml.test( elem ) ) { - nodes.push( context.createTextNode( elem ) ); - - // Convert html into DOM nodes - } else { - tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); - - // Deserialize a standard representation - tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); - wrap = wrapMap[ tag ] || wrapMap._default; - tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; - - // Descend through wrappers to the right content - j = wrap[ 0 ]; - while ( j-- ) { - tmp = tmp.lastChild; - } - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, tmp.childNodes ); - - // Remember the top-level container - tmp = fragment.firstChild; - - // Ensure the created nodes are orphaned (#12392) - tmp.textContent = ""; - } - } - } - - // Remove wrapper from fragment - fragment.textContent = ""; - - i = 0; - while ( ( elem = nodes[ i++ ] ) ) { - - // Skip elements already in the context collection (trac-4087) - if ( selection && jQuery.inArray( elem, selection ) > -1 ) { - if ( ignored ) { - ignored.push( elem ); - } - continue; - } - - contains = jQuery.contains( elem.ownerDocument, elem ); - - // Append to fragment - tmp = getAll( fragment.appendChild( elem ), "script" ); - - // Preserve script evaluation history - if ( contains ) { - setGlobalEval( tmp ); - } - - // Capture executables - if ( scripts ) { - j = 0; - while ( ( elem = tmp[ j++ ] ) ) { - if ( rscriptType.test( elem.type || "" ) ) { - scripts.push( elem ); - } - } - } - } - - return fragment; -} - - -( function() { - var fragment = document.createDocumentFragment(), - div = fragment.appendChild( document.createElement( "div" ) ), - input = document.createElement( "input" ); - - // Support: Android 4.0 - 4.3 only - // Check state lost if the name is set (#11217) - // Support: Windows Web Apps (WWA) - // `name` and `type` must use .setAttribute for WWA (#14901) - input.setAttribute( "type", "radio" ); - input.setAttribute( "checked", "checked" ); - input.setAttribute( "name", "t" ); - - div.appendChild( input ); - - // Support: Android <=4.1 only - // Older WebKit doesn't clone checked state correctly in fragments - support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; - - // Support: IE <=11 only - // Make sure textarea (and checkbox) defaultValue is properly cloned - div.innerHTML = ""; - support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; -} )(); -var documentElement = document.documentElement; - - - -var - rkeyEvent = /^key/, - rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/, - rtypenamespace = /^([^.]*)(?:\.(.+)|)/; - -function returnTrue() { - return true; -} - -function returnFalse() { - return false; -} - -// Support: IE <=9 only -// See #13393 for more info -function safeActiveElement() { - try { - return document.activeElement; - } catch ( err ) { } -} - -function on( elem, types, selector, data, fn, one ) { - var origFn, type; - - // Types can be a map of types/handlers - if ( typeof types === "object" ) { - - // ( types-Object, selector, data ) - if ( typeof selector !== "string" ) { - - // ( types-Object, data ) - data = data || selector; - selector = undefined; - } - for ( type in types ) { - on( elem, type, selector, data, types[ type ], one ); - } - return elem; - } - - if ( data == null && fn == null ) { - - // ( types, fn ) - fn = selector; - data = selector = undefined; - } else if ( fn == null ) { - if ( typeof selector === "string" ) { - - // ( types, selector, fn ) - fn = data; - data = undefined; - } else { - - // ( types, data, fn ) - fn = data; - data = selector; - selector = undefined; - } - } - if ( fn === false ) { - fn = returnFalse; - } else if ( !fn ) { - return elem; - } - - if ( one === 1 ) { - origFn = fn; - fn = function( event ) { - - // Can use an empty set, since event contains the info - jQuery().off( event ); - return origFn.apply( this, arguments ); - }; - - // Use same guid so caller can remove using origFn - fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); - } - return elem.each( function() { - jQuery.event.add( this, types, fn, data, selector ); - } ); -} - -/* - * Helper functions for managing events -- not part of the public interface. - * Props to Dean Edwards' addEvent library for many of the ideas. - */ -jQuery.event = { - - global: {}, - - add: function( elem, types, handler, data, selector ) { - - var handleObjIn, eventHandle, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.get( elem ); - - // Don't attach events to noData or text/comment nodes (but allow plain objects) - if ( !elemData ) { - return; - } - - // Caller can pass in an object of custom data in lieu of the handler - if ( handler.handler ) { - handleObjIn = handler; - handler = handleObjIn.handler; - selector = handleObjIn.selector; - } - - // Ensure that invalid selectors throw exceptions at attach time - // Evaluate against documentElement in case elem is a non-element node (e.g., document) - if ( selector ) { - jQuery.find.matchesSelector( documentElement, selector ); - } - - // Make sure that the handler has a unique ID, used to find/remove it later - if ( !handler.guid ) { - handler.guid = jQuery.guid++; - } - - // Init the element's event structure and main handler, if this is the first - if ( !( events = elemData.events ) ) { - events = elemData.events = {}; - } - if ( !( eventHandle = elemData.handle ) ) { - eventHandle = elemData.handle = function( e ) { - - // Discard the second event of a jQuery.event.trigger() and - // when an event is called after a page has unloaded - return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? - jQuery.event.dispatch.apply( elem, arguments ) : undefined; - }; - } - - // Handle multiple events separated by a space - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // There *must* be a type, no attaching namespace-only handlers - if ( !type ) { - continue; - } - - // If event changes its type, use the special event handlers for the changed type - special = jQuery.event.special[ type ] || {}; - - // If selector defined, determine special event api type, otherwise given type - type = ( selector ? special.delegateType : special.bindType ) || type; - - // Update special based on newly reset type - special = jQuery.event.special[ type ] || {}; - - // handleObj is passed to all event handlers - handleObj = jQuery.extend( { - type: type, - origType: origType, - data: data, - handler: handler, - guid: handler.guid, - selector: selector, - needsContext: selector && jQuery.expr.match.needsContext.test( selector ), - namespace: namespaces.join( "." ) - }, handleObjIn ); - - // Init the event handler queue if we're the first - if ( !( handlers = events[ type ] ) ) { - handlers = events[ type ] = []; - handlers.delegateCount = 0; - - // Only use addEventListener if the special events handler returns false - if ( !special.setup || - special.setup.call( elem, data, namespaces, eventHandle ) === false ) { - - if ( elem.addEventListener ) { - elem.addEventListener( type, eventHandle ); - } - } - } - - if ( special.add ) { - special.add.call( elem, handleObj ); - - if ( !handleObj.handler.guid ) { - handleObj.handler.guid = handler.guid; - } - } - - // Add to the element's handler list, delegates in front - if ( selector ) { - handlers.splice( handlers.delegateCount++, 0, handleObj ); - } else { - handlers.push( handleObj ); - } - - // Keep track of which events have ever been used, for event optimization - jQuery.event.global[ type ] = true; - } - - }, - - // Detach an event or set of events from an element - remove: function( elem, types, handler, selector, mappedTypes ) { - - var j, origCount, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); - - if ( !elemData || !( events = elemData.events ) ) { - return; - } - - // Once for each type.namespace in types; type may be omitted - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // Unbind all events (on this namespace, if provided) for the element - if ( !type ) { - for ( type in events ) { - jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); - } - continue; - } - - special = jQuery.event.special[ type ] || {}; - type = ( selector ? special.delegateType : special.bindType ) || type; - handlers = events[ type ] || []; - tmp = tmp[ 2 ] && - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); - - // Remove matching events - origCount = j = handlers.length; - while ( j-- ) { - handleObj = handlers[ j ]; - - if ( ( mappedTypes || origType === handleObj.origType ) && - ( !handler || handler.guid === handleObj.guid ) && - ( !tmp || tmp.test( handleObj.namespace ) ) && - ( !selector || selector === handleObj.selector || - selector === "**" && handleObj.selector ) ) { - handlers.splice( j, 1 ); - - if ( handleObj.selector ) { - handlers.delegateCount--; - } - if ( special.remove ) { - special.remove.call( elem, handleObj ); - } - } - } - - // Remove generic event handler if we removed something and no more handlers exist - // (avoids potential for endless recursion during removal of special event handlers) - if ( origCount && !handlers.length ) { - if ( !special.teardown || - special.teardown.call( elem, namespaces, elemData.handle ) === false ) { - - jQuery.removeEvent( elem, type, elemData.handle ); - } - - delete events[ type ]; - } - } - - // Remove data and the expando if it's no longer used - if ( jQuery.isEmptyObject( events ) ) { - dataPriv.remove( elem, "handle events" ); - } - }, - - dispatch: function( nativeEvent ) { - - // Make a writable jQuery.Event from the native event object - var event = jQuery.event.fix( nativeEvent ); - - var i, j, ret, matched, handleObj, handlerQueue, - args = new Array( arguments.length ), - handlers = ( dataPriv.get( this, "events" ) || {} )[ event.type ] || [], - special = jQuery.event.special[ event.type ] || {}; - - // Use the fix-ed jQuery.Event rather than the (read-only) native event - args[ 0 ] = event; - - for ( i = 1; i < arguments.length; i++ ) { - args[ i ] = arguments[ i ]; - } - - event.delegateTarget = this; - - // Call the preDispatch hook for the mapped type, and let it bail if desired - if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { - return; - } - - // Determine handlers - handlerQueue = jQuery.event.handlers.call( this, event, handlers ); - - // Run delegates first; they may want to stop propagation beneath us - i = 0; - while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { - event.currentTarget = matched.elem; - - j = 0; - while ( ( handleObj = matched.handlers[ j++ ] ) && - !event.isImmediatePropagationStopped() ) { - - // Triggered event must either 1) have no namespace, or 2) have namespace(s) - // a subset or equal to those in the bound event (both can have no namespace). - if ( !event.rnamespace || event.rnamespace.test( handleObj.namespace ) ) { - - event.handleObj = handleObj; - event.data = handleObj.data; - - ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || - handleObj.handler ).apply( matched.elem, args ); - - if ( ret !== undefined ) { - if ( ( event.result = ret ) === false ) { - event.preventDefault(); - event.stopPropagation(); - } - } - } - } - } - - // Call the postDispatch hook for the mapped type - if ( special.postDispatch ) { - special.postDispatch.call( this, event ); - } - - return event.result; - }, - - handlers: function( event, handlers ) { - var i, handleObj, sel, matchedHandlers, matchedSelectors, - handlerQueue = [], - delegateCount = handlers.delegateCount, - cur = event.target; - - // Find delegate handlers - if ( delegateCount && - - // Support: IE <=9 - // Black-hole SVG instance trees (trac-13180) - cur.nodeType && - - // Support: Firefox <=42 - // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) - // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click - // Support: IE 11 only - // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) - !( event.type === "click" && event.button >= 1 ) ) { - - for ( ; cur !== this; cur = cur.parentNode || this ) { - - // Don't check non-elements (#13208) - // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) - if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { - matchedHandlers = []; - matchedSelectors = {}; - for ( i = 0; i < delegateCount; i++ ) { - handleObj = handlers[ i ]; - - // Don't conflict with Object.prototype properties (#13203) - sel = handleObj.selector + " "; - - if ( matchedSelectors[ sel ] === undefined ) { - matchedSelectors[ sel ] = handleObj.needsContext ? - jQuery( sel, this ).index( cur ) > -1 : - jQuery.find( sel, this, null, [ cur ] ).length; - } - if ( matchedSelectors[ sel ] ) { - matchedHandlers.push( handleObj ); - } - } - if ( matchedHandlers.length ) { - handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); - } - } - } - } - - // Add the remaining (directly-bound) handlers - cur = this; - if ( delegateCount < handlers.length ) { - handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); - } - - return handlerQueue; - }, - - addProp: function( name, hook ) { - Object.defineProperty( jQuery.Event.prototype, name, { - enumerable: true, - configurable: true, - - get: jQuery.isFunction( hook ) ? - function() { - if ( this.originalEvent ) { - return hook( this.originalEvent ); - } - } : - function() { - if ( this.originalEvent ) { - return this.originalEvent[ name ]; - } - }, - - set: function( value ) { - Object.defineProperty( this, name, { - enumerable: true, - configurable: true, - writable: true, - value: value - } ); - } - } ); - }, - - fix: function( originalEvent ) { - return originalEvent[ jQuery.expando ] ? - originalEvent : - new jQuery.Event( originalEvent ); - }, - - special: { - load: { - - // Prevent triggered image.load events from bubbling to window.load - noBubble: true - }, - focus: { - - // Fire native event if possible so blur/focus sequence is correct - trigger: function() { - if ( this !== safeActiveElement() && this.focus ) { - this.focus(); - return false; - } - }, - delegateType: "focusin" - }, - blur: { - trigger: function() { - if ( this === safeActiveElement() && this.blur ) { - this.blur(); - return false; - } - }, - delegateType: "focusout" - }, - click: { - - // For checkbox, fire native event so checked state will be right - trigger: function() { - if ( this.type === "checkbox" && this.click && nodeName( this, "input" ) ) { - this.click(); - return false; - } - }, - - // For cross-browser consistency, don't fire native .click() on links - _default: function( event ) { - return nodeName( event.target, "a" ); - } - }, - - beforeunload: { - postDispatch: function( event ) { - - // Support: Firefox 20+ - // Firefox doesn't alert if the returnValue field is not set. - if ( event.result !== undefined && event.originalEvent ) { - event.originalEvent.returnValue = event.result; - } - } - } - } -}; - -jQuery.removeEvent = function( elem, type, handle ) { - - // This "if" is needed for plain objects - if ( elem.removeEventListener ) { - elem.removeEventListener( type, handle ); - } -}; - -jQuery.Event = function( src, props ) { - - // Allow instantiation without the 'new' keyword - if ( !( this instanceof jQuery.Event ) ) { - return new jQuery.Event( src, props ); - } - - // Event object - if ( src && src.type ) { - this.originalEvent = src; - this.type = src.type; - - // Events bubbling up the document may have been marked as prevented - // by a handler lower down the tree; reflect the correct value. - this.isDefaultPrevented = src.defaultPrevented || - src.defaultPrevented === undefined && - - // Support: Android <=2.3 only - src.returnValue === false ? - returnTrue : - returnFalse; - - // Create target properties - // Support: Safari <=6 - 7 only - // Target should not be a text node (#504, #13143) - this.target = ( src.target && src.target.nodeType === 3 ) ? - src.target.parentNode : - src.target; - - this.currentTarget = src.currentTarget; - this.relatedTarget = src.relatedTarget; - - // Event type - } else { - this.type = src; - } - - // Put explicitly provided properties onto the event object - if ( props ) { - jQuery.extend( this, props ); - } - - // Create a timestamp if incoming event doesn't have one - this.timeStamp = src && src.timeStamp || jQuery.now(); - - // Mark it as fixed - this[ jQuery.expando ] = true; -}; - -// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding -// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html -jQuery.Event.prototype = { - constructor: jQuery.Event, - isDefaultPrevented: returnFalse, - isPropagationStopped: returnFalse, - isImmediatePropagationStopped: returnFalse, - isSimulated: false, - - preventDefault: function() { - var e = this.originalEvent; - - this.isDefaultPrevented = returnTrue; - - if ( e && !this.isSimulated ) { - e.preventDefault(); - } - }, - stopPropagation: function() { - var e = this.originalEvent; - - this.isPropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopPropagation(); - } - }, - stopImmediatePropagation: function() { - var e = this.originalEvent; - - this.isImmediatePropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopImmediatePropagation(); - } - - this.stopPropagation(); - } -}; - -// Includes all common event props including KeyEvent and MouseEvent specific props -jQuery.each( { - altKey: true, - bubbles: true, - cancelable: true, - changedTouches: true, - ctrlKey: true, - detail: true, - eventPhase: true, - metaKey: true, - pageX: true, - pageY: true, - shiftKey: true, - view: true, - "char": true, - charCode: true, - key: true, - keyCode: true, - button: true, - buttons: true, - clientX: true, - clientY: true, - offsetX: true, - offsetY: true, - pointerId: true, - pointerType: true, - screenX: true, - screenY: true, - targetTouches: true, - toElement: true, - touches: true, - - which: function( event ) { - var button = event.button; - - // Add which for key events - if ( event.which == null && rkeyEvent.test( event.type ) ) { - return event.charCode != null ? event.charCode : event.keyCode; - } - - // Add which for click: 1 === left; 2 === middle; 3 === right - if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) { - if ( button & 1 ) { - return 1; - } - - if ( button & 2 ) { - return 3; - } - - if ( button & 4 ) { - return 2; - } - - return 0; - } - - return event.which; - } -}, jQuery.event.addProp ); - -// Create mouseenter/leave events using mouseover/out and event-time checks -// so that event delegation works in jQuery. -// Do the same for pointerenter/pointerleave and pointerover/pointerout -// -// Support: Safari 7 only -// Safari sends mouseenter too often; see: -// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 -// for the description of the bug (it existed in older Chrome versions as well). -jQuery.each( { - mouseenter: "mouseover", - mouseleave: "mouseout", - pointerenter: "pointerover", - pointerleave: "pointerout" -}, function( orig, fix ) { - jQuery.event.special[ orig ] = { - delegateType: fix, - bindType: fix, - - handle: function( event ) { - var ret, - target = this, - related = event.relatedTarget, - handleObj = event.handleObj; - - // For mouseenter/leave call the handler if related is outside the target. - // NB: No relatedTarget if the mouse left/entered the browser window - if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { - event.type = handleObj.origType; - ret = handleObj.handler.apply( this, arguments ); - event.type = fix; - } - return ret; - } - }; -} ); - -jQuery.fn.extend( { - - on: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn ); - }, - one: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn, 1 ); - }, - off: function( types, selector, fn ) { - var handleObj, type; - if ( types && types.preventDefault && types.handleObj ) { - - // ( event ) dispatched jQuery.Event - handleObj = types.handleObj; - jQuery( types.delegateTarget ).off( - handleObj.namespace ? - handleObj.origType + "." + handleObj.namespace : - handleObj.origType, - handleObj.selector, - handleObj.handler - ); - return this; - } - if ( typeof types === "object" ) { - - // ( types-object [, selector] ) - for ( type in types ) { - this.off( type, selector, types[ type ] ); - } - return this; - } - if ( selector === false || typeof selector === "function" ) { - - // ( types [, fn] ) - fn = selector; - selector = undefined; - } - if ( fn === false ) { - fn = returnFalse; - } - return this.each( function() { - jQuery.event.remove( this, types, fn, selector ); - } ); - } -} ); - - -var - - /* eslint-disable max-len */ - - // See https://github.com/eslint/eslint/issues/3229 - rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([a-z][^\/\0>\x20\t\r\n\f]*)[^>]*)\/>/gi, - - /* eslint-enable */ - - // Support: IE <=10 - 11, Edge 12 - 13 - // In IE/Edge using regex groups here causes severe slowdowns. - // See https://connect.microsoft.com/IE/feedback/details/1736512/ - rnoInnerhtml = /\s*$/g; - -// Prefer a tbody over its parent table for containing new rows -function manipulationTarget( elem, content ) { - if ( nodeName( elem, "table" ) && - nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { - - return jQuery( ">tbody", elem )[ 0 ] || elem; - } - - return elem; -} - -// Replace/restore the type attribute of script elements for safe DOM manipulation -function disableScript( elem ) { - elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; - return elem; -} -function restoreScript( elem ) { - var match = rscriptTypeMasked.exec( elem.type ); - - if ( match ) { - elem.type = match[ 1 ]; - } else { - elem.removeAttribute( "type" ); - } - - return elem; -} - -function cloneCopyEvent( src, dest ) { - var i, l, type, pdataOld, pdataCur, udataOld, udataCur, events; - - if ( dest.nodeType !== 1 ) { - return; - } - - // 1. Copy private data: events, handlers, etc. - if ( dataPriv.hasData( src ) ) { - pdataOld = dataPriv.access( src ); - pdataCur = dataPriv.set( dest, pdataOld ); - events = pdataOld.events; - - if ( events ) { - delete pdataCur.handle; - pdataCur.events = {}; - - for ( type in events ) { - for ( i = 0, l = events[ type ].length; i < l; i++ ) { - jQuery.event.add( dest, type, events[ type ][ i ] ); - } - } - } - } - - // 2. Copy user data - if ( dataUser.hasData( src ) ) { - udataOld = dataUser.access( src ); - udataCur = jQuery.extend( {}, udataOld ); - - dataUser.set( dest, udataCur ); - } -} - -// Fix IE bugs, see support tests -function fixInput( src, dest ) { - var nodeName = dest.nodeName.toLowerCase(); - - // Fails to persist the checked state of a cloned checkbox or radio button. - if ( nodeName === "input" && rcheckableType.test( src.type ) ) { - dest.checked = src.checked; - - // Fails to return the selected option to the default selected state when cloning options - } else if ( nodeName === "input" || nodeName === "textarea" ) { - dest.defaultValue = src.defaultValue; - } -} - -function domManip( collection, args, callback, ignored ) { - - // Flatten any nested arrays - args = concat.apply( [], args ); - - var fragment, first, scripts, hasScripts, node, doc, - i = 0, - l = collection.length, - iNoClone = l - 1, - value = args[ 0 ], - isFunction = jQuery.isFunction( value ); - - // We can't cloneNode fragments that contain checked, in WebKit - if ( isFunction || - ( l > 1 && typeof value === "string" && - !support.checkClone && rchecked.test( value ) ) ) { - return collection.each( function( index ) { - var self = collection.eq( index ); - if ( isFunction ) { - args[ 0 ] = value.call( this, index, self.html() ); - } - domManip( self, args, callback, ignored ); - } ); - } - - if ( l ) { - fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); - first = fragment.firstChild; - - if ( fragment.childNodes.length === 1 ) { - fragment = first; - } - - // Require either new content or an interest in ignored elements to invoke the callback - if ( first || ignored ) { - scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); - hasScripts = scripts.length; - - // Use the original fragment for the last item - // instead of the first because it can end up - // being emptied incorrectly in certain situations (#8070). - for ( ; i < l; i++ ) { - node = fragment; - - if ( i !== iNoClone ) { - node = jQuery.clone( node, true, true ); - - // Keep references to cloned scripts for later restoration - if ( hasScripts ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( scripts, getAll( node, "script" ) ); - } - } - - callback.call( collection[ i ], node, i ); - } - - if ( hasScripts ) { - doc = scripts[ scripts.length - 1 ].ownerDocument; - - // Reenable scripts - jQuery.map( scripts, restoreScript ); - - // Evaluate executable scripts on first document insertion - for ( i = 0; i < hasScripts; i++ ) { - node = scripts[ i ]; - if ( rscriptType.test( node.type || "" ) && - !dataPriv.access( node, "globalEval" ) && - jQuery.contains( doc, node ) ) { - - if ( node.src ) { - - // Optional AJAX dependency, but won't run scripts if not present - if ( jQuery._evalUrl ) { - jQuery._evalUrl( node.src ); - } - } else { - DOMEval( node.textContent.replace( rcleanScript, "" ), doc ); - } - } - } - } - } - } - - return collection; -} - -function remove( elem, selector, keepData ) { - var node, - nodes = selector ? jQuery.filter( selector, elem ) : elem, - i = 0; - - for ( ; ( node = nodes[ i ] ) != null; i++ ) { - if ( !keepData && node.nodeType === 1 ) { - jQuery.cleanData( getAll( node ) ); - } - - if ( node.parentNode ) { - if ( keepData && jQuery.contains( node.ownerDocument, node ) ) { - setGlobalEval( getAll( node, "script" ) ); - } - node.parentNode.removeChild( node ); - } - } - - return elem; -} - -jQuery.extend( { - htmlPrefilter: function( html ) { - return html.replace( rxhtmlTag, "<$1>" ); - }, - - clone: function( elem, dataAndEvents, deepDataAndEvents ) { - var i, l, srcElements, destElements, - clone = elem.cloneNode( true ), - inPage = jQuery.contains( elem.ownerDocument, elem ); - - // Fix IE cloning issues - if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && - !jQuery.isXMLDoc( elem ) ) { - - // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 - destElements = getAll( clone ); - srcElements = getAll( elem ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - fixInput( srcElements[ i ], destElements[ i ] ); - } - } - - // Copy the events from the original to the clone - if ( dataAndEvents ) { - if ( deepDataAndEvents ) { - srcElements = srcElements || getAll( elem ); - destElements = destElements || getAll( clone ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - cloneCopyEvent( srcElements[ i ], destElements[ i ] ); - } - } else { - cloneCopyEvent( elem, clone ); - } - } - - // Preserve script evaluation history - destElements = getAll( clone, "script" ); - if ( destElements.length > 0 ) { - setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); - } - - // Return the cloned set - return clone; - }, - - cleanData: function( elems ) { - var data, elem, type, - special = jQuery.event.special, - i = 0; - - for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { - if ( acceptData( elem ) ) { - if ( ( data = elem[ dataPriv.expando ] ) ) { - if ( data.events ) { - for ( type in data.events ) { - if ( special[ type ] ) { - jQuery.event.remove( elem, type ); - - // This is a shortcut to avoid jQuery.event.remove's overhead - } else { - jQuery.removeEvent( elem, type, data.handle ); - } - } - } - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataPriv.expando ] = undefined; - } - if ( elem[ dataUser.expando ] ) { - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataUser.expando ] = undefined; - } - } - } - } -} ); - -jQuery.fn.extend( { - detach: function( selector ) { - return remove( this, selector, true ); - }, - - remove: function( selector ) { - return remove( this, selector ); - }, - - text: function( value ) { - return access( this, function( value ) { - return value === undefined ? - jQuery.text( this ) : - this.empty().each( function() { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - this.textContent = value; - } - } ); - }, null, value, arguments.length ); - }, - - append: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.appendChild( elem ); - } - } ); - }, - - prepend: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.insertBefore( elem, target.firstChild ); - } - } ); - }, - - before: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this ); - } - } ); - }, - - after: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this.nextSibling ); - } - } ); - }, - - empty: function() { - var elem, - i = 0; - - for ( ; ( elem = this[ i ] ) != null; i++ ) { - if ( elem.nodeType === 1 ) { - - // Prevent memory leaks - jQuery.cleanData( getAll( elem, false ) ); - - // Remove any remaining nodes - elem.textContent = ""; - } - } - - return this; - }, - - clone: function( dataAndEvents, deepDataAndEvents ) { - dataAndEvents = dataAndEvents == null ? false : dataAndEvents; - deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; - - return this.map( function() { - return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); - } ); - }, - - html: function( value ) { - return access( this, function( value ) { - var elem = this[ 0 ] || {}, - i = 0, - l = this.length; - - if ( value === undefined && elem.nodeType === 1 ) { - return elem.innerHTML; - } - - // See if we can take a shortcut and just use innerHTML - if ( typeof value === "string" && !rnoInnerhtml.test( value ) && - !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { - - value = jQuery.htmlPrefilter( value ); - - try { - for ( ; i < l; i++ ) { - elem = this[ i ] || {}; - - // Remove element nodes and prevent memory leaks - if ( elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem, false ) ); - elem.innerHTML = value; - } - } - - elem = 0; - - // If using innerHTML throws an exception, use the fallback method - } catch ( e ) {} - } - - if ( elem ) { - this.empty().append( value ); - } - }, null, value, arguments.length ); - }, - - replaceWith: function() { - var ignored = []; - - // Make the changes, replacing each non-ignored context element with the new content - return domManip( this, arguments, function( elem ) { - var parent = this.parentNode; - - if ( jQuery.inArray( this, ignored ) < 0 ) { - jQuery.cleanData( getAll( this ) ); - if ( parent ) { - parent.replaceChild( elem, this ); - } - } - - // Force callback invocation - }, ignored ); - } -} ); - -jQuery.each( { - appendTo: "append", - prependTo: "prepend", - insertBefore: "before", - insertAfter: "after", - replaceAll: "replaceWith" -}, function( name, original ) { - jQuery.fn[ name ] = function( selector ) { - var elems, - ret = [], - insert = jQuery( selector ), - last = insert.length - 1, - i = 0; - - for ( ; i <= last; i++ ) { - elems = i === last ? this : this.clone( true ); - jQuery( insert[ i ] )[ original ]( elems ); - - // Support: Android <=4.0 only, PhantomJS 1 only - // .get() because push.apply(_, arraylike) throws on ancient WebKit - push.apply( ret, elems.get() ); - } - - return this.pushStack( ret ); - }; -} ); -var rmargin = ( /^margin/ ); - -var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); - -var getStyles = function( elem ) { - - // Support: IE <=11 only, Firefox <=30 (#15098, #14150) - // IE throws on elements created in popups - // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" - var view = elem.ownerDocument.defaultView; - - if ( !view || !view.opener ) { - view = window; - } - - return view.getComputedStyle( elem ); - }; - - - -( function() { - - // Executing both pixelPosition & boxSizingReliable tests require only one layout - // so they're executed at the same time to save the second computation. - function computeStyleTests() { - - // This is a singleton, we need to execute it only once - if ( !div ) { - return; - } - - div.style.cssText = - "box-sizing:border-box;" + - "position:relative;display:block;" + - "margin:auto;border:1px;padding:1px;" + - "top:1%;width:50%"; - div.innerHTML = ""; - documentElement.appendChild( container ); - - var divStyle = window.getComputedStyle( div ); - pixelPositionVal = divStyle.top !== "1%"; - - // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 - reliableMarginLeftVal = divStyle.marginLeft === "2px"; - boxSizingReliableVal = divStyle.width === "4px"; - - // Support: Android 4.0 - 4.3 only - // Some styles come back with percentage values, even though they shouldn't - div.style.marginRight = "50%"; - pixelMarginRightVal = divStyle.marginRight === "4px"; - - documentElement.removeChild( container ); - - // Nullify the div so it wouldn't be stored in the memory and - // it will also be a sign that checks already performed - div = null; - } - - var pixelPositionVal, boxSizingReliableVal, pixelMarginRightVal, reliableMarginLeftVal, - container = document.createElement( "div" ), - div = document.createElement( "div" ); - - // Finish early in limited (non-browser) environments - if ( !div.style ) { - return; - } - - // Support: IE <=9 - 11 only - // Style of cloned element affects source element cloned (#8908) - div.style.backgroundClip = "content-box"; - div.cloneNode( true ).style.backgroundClip = ""; - support.clearCloneStyle = div.style.backgroundClip === "content-box"; - - container.style.cssText = "border:0;width:8px;height:0;top:0;left:-9999px;" + - "padding:0;margin-top:1px;position:absolute"; - container.appendChild( div ); - - jQuery.extend( support, { - pixelPosition: function() { - computeStyleTests(); - return pixelPositionVal; - }, - boxSizingReliable: function() { - computeStyleTests(); - return boxSizingReliableVal; - }, - pixelMarginRight: function() { - computeStyleTests(); - return pixelMarginRightVal; - }, - reliableMarginLeft: function() { - computeStyleTests(); - return reliableMarginLeftVal; - } - } ); -} )(); - - -function curCSS( elem, name, computed ) { - var width, minWidth, maxWidth, ret, - - // Support: Firefox 51+ - // Retrieving style before computed somehow - // fixes an issue with getting wrong values - // on detached elements - style = elem.style; - - computed = computed || getStyles( elem ); - - // getPropertyValue is needed for: - // .css('filter') (IE 9 only, #12537) - // .css('--customProperty) (#3144) - if ( computed ) { - ret = computed.getPropertyValue( name ) || computed[ name ]; - - if ( ret === "" && !jQuery.contains( elem.ownerDocument, elem ) ) { - ret = jQuery.style( elem, name ); - } - - // A tribute to the "awesome hack by Dean Edwards" - // Android Browser returns percentage for some values, - // but width seems to be reliably pixels. - // This is against the CSSOM draft spec: - // https://drafts.csswg.org/cssom/#resolved-values - if ( !support.pixelMarginRight() && rnumnonpx.test( ret ) && rmargin.test( name ) ) { - - // Remember the original values - width = style.width; - minWidth = style.minWidth; - maxWidth = style.maxWidth; - - // Put in the new values to get a computed value out - style.minWidth = style.maxWidth = style.width = ret; - ret = computed.width; - - // Revert the changed values - style.width = width; - style.minWidth = minWidth; - style.maxWidth = maxWidth; - } - } - - return ret !== undefined ? - - // Support: IE <=9 - 11 only - // IE returns zIndex value as an integer. - ret + "" : - ret; -} - - -function addGetHookIf( conditionFn, hookFn ) { - - // Define the hook, we'll check on the first run if it's really needed. - return { - get: function() { - if ( conditionFn() ) { - - // Hook not needed (or it's not possible to use it due - // to missing dependency), remove it. - delete this.get; - return; - } - - // Hook needed; redefine it so that the support test is not executed again. - return ( this.get = hookFn ).apply( this, arguments ); - } - }; -} - - -var - - // Swappable if display is none or starts with table - // except "table", "table-cell", or "table-caption" - // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display - rdisplayswap = /^(none|table(?!-c[ea]).+)/, - rcustomProp = /^--/, - cssShow = { position: "absolute", visibility: "hidden", display: "block" }, - cssNormalTransform = { - letterSpacing: "0", - fontWeight: "400" - }, - - cssPrefixes = [ "Webkit", "Moz", "ms" ], - emptyStyle = document.createElement( "div" ).style; - -// Return a css property mapped to a potentially vendor prefixed property -function vendorPropName( name ) { - - // Shortcut for names that are not vendor prefixed - if ( name in emptyStyle ) { - return name; - } - - // Check for vendor prefixed names - var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), - i = cssPrefixes.length; - - while ( i-- ) { - name = cssPrefixes[ i ] + capName; - if ( name in emptyStyle ) { - return name; - } - } -} - -// Return a property mapped along what jQuery.cssProps suggests or to -// a vendor prefixed property. -function finalPropName( name ) { - var ret = jQuery.cssProps[ name ]; - if ( !ret ) { - ret = jQuery.cssProps[ name ] = vendorPropName( name ) || name; - } - return ret; -} - -function setPositiveNumber( elem, value, subtract ) { - - // Any relative (+/-) values have already been - // normalized at this point - var matches = rcssNum.exec( value ); - return matches ? - - // Guard against undefined "subtract", e.g., when used as in cssHooks - Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : - value; -} - -function augmentWidthOrHeight( elem, name, extra, isBorderBox, styles ) { - var i, - val = 0; - - // If we already have the right measurement, avoid augmentation - if ( extra === ( isBorderBox ? "border" : "content" ) ) { - i = 4; - - // Otherwise initialize for horizontal or vertical properties - } else { - i = name === "width" ? 1 : 0; - } - - for ( ; i < 4; i += 2 ) { - - // Both box models exclude margin, so add it if we want it - if ( extra === "margin" ) { - val += jQuery.css( elem, extra + cssExpand[ i ], true, styles ); - } - - if ( isBorderBox ) { - - // border-box includes padding, so remove it if we want content - if ( extra === "content" ) { - val -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - } - - // At this point, extra isn't border nor margin, so remove border - if ( extra !== "margin" ) { - val -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - } else { - - // At this point, extra isn't content, so add padding - val += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - - // At this point, extra isn't content nor padding, so add border - if ( extra !== "padding" ) { - val += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - } - } - - return val; -} - -function getWidthOrHeight( elem, name, extra ) { - - // Start with computed style - var valueIsBorderBox, - styles = getStyles( elem ), - val = curCSS( elem, name, styles ), - isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; - - // Computed unit is not pixels. Stop here and return. - if ( rnumnonpx.test( val ) ) { - return val; - } - - // Check for style in case a browser which returns unreliable values - // for getComputedStyle silently falls back to the reliable elem.style - valueIsBorderBox = isBorderBox && - ( support.boxSizingReliable() || val === elem.style[ name ] ); - - // Fall back to offsetWidth/Height when value is "auto" - // This happens for inline elements with no explicit setting (gh-3571) - if ( val === "auto" ) { - val = elem[ "offset" + name[ 0 ].toUpperCase() + name.slice( 1 ) ]; - } - - // Normalize "", auto, and prepare for extra - val = parseFloat( val ) || 0; - - // Use the active box-sizing model to add/subtract irrelevant styles - return ( val + - augmentWidthOrHeight( - elem, - name, - extra || ( isBorderBox ? "border" : "content" ), - valueIsBorderBox, - styles - ) - ) + "px"; -} - -jQuery.extend( { - - // Add in style property hooks for overriding the default - // behavior of getting and setting a style property - cssHooks: { - opacity: { - get: function( elem, computed ) { - if ( computed ) { - - // We should always get a number back from opacity - var ret = curCSS( elem, "opacity" ); - return ret === "" ? "1" : ret; - } - } - } - }, - - // Don't automatically add "px" to these possibly-unitless properties - cssNumber: { - "animationIterationCount": true, - "columnCount": true, - "fillOpacity": true, - "flexGrow": true, - "flexShrink": true, - "fontWeight": true, - "lineHeight": true, - "opacity": true, - "order": true, - "orphans": true, - "widows": true, - "zIndex": true, - "zoom": true - }, - - // Add in properties whose names you wish to fix before - // setting or getting the value - cssProps: { - "float": "cssFloat" - }, - - // Get and set the style property on a DOM Node - style: function( elem, name, value, extra ) { - - // Don't set styles on text and comment nodes - if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { - return; - } - - // Make sure that we're working with the right name - var ret, type, hooks, - origName = jQuery.camelCase( name ), - isCustomProp = rcustomProp.test( name ), - style = elem.style; - - // Make sure that we're working with the right name. We don't - // want to query the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Gets hook for the prefixed version, then unprefixed version - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // Check if we're setting a value - if ( value !== undefined ) { - type = typeof value; - - // Convert "+=" or "-=" to relative numbers (#7345) - if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { - value = adjustCSS( elem, name, ret ); - - // Fixes bug #9237 - type = "number"; - } - - // Make sure that null and NaN values aren't set (#7116) - if ( value == null || value !== value ) { - return; - } - - // If a number was passed in, add the unit (except for certain CSS properties) - if ( type === "number" ) { - value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); - } - - // background-* props affect original clone's values - if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { - style[ name ] = "inherit"; - } - - // If a hook was provided, use that value, otherwise just set the specified value - if ( !hooks || !( "set" in hooks ) || - ( value = hooks.set( elem, value, extra ) ) !== undefined ) { - - if ( isCustomProp ) { - style.setProperty( name, value ); - } else { - style[ name ] = value; - } - } - - } else { - - // If a hook was provided get the non-computed value from there - if ( hooks && "get" in hooks && - ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { - - return ret; - } - - // Otherwise just get the value from the style object - return style[ name ]; - } - }, - - css: function( elem, name, extra, styles ) { - var val, num, hooks, - origName = jQuery.camelCase( name ), - isCustomProp = rcustomProp.test( name ); - - // Make sure that we're working with the right name. We don't - // want to modify the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Try prefixed name followed by the unprefixed name - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // If a hook was provided get the computed value from there - if ( hooks && "get" in hooks ) { - val = hooks.get( elem, true, extra ); - } - - // Otherwise, if a way to get the computed value exists, use that - if ( val === undefined ) { - val = curCSS( elem, name, styles ); - } - - // Convert "normal" to computed value - if ( val === "normal" && name in cssNormalTransform ) { - val = cssNormalTransform[ name ]; - } - - // Make numeric if forced or a qualifier was provided and val looks numeric - if ( extra === "" || extra ) { - num = parseFloat( val ); - return extra === true || isFinite( num ) ? num || 0 : val; - } - - return val; - } -} ); - -jQuery.each( [ "height", "width" ], function( i, name ) { - jQuery.cssHooks[ name ] = { - get: function( elem, computed, extra ) { - if ( computed ) { - - // Certain elements can have dimension info if we invisibly show them - // but it must have a current display style that would benefit - return rdisplayswap.test( jQuery.css( elem, "display" ) ) && - - // Support: Safari 8+ - // Table columns in Safari have non-zero offsetWidth & zero - // getBoundingClientRect().width unless display is changed. - // Support: IE <=11 only - // Running getBoundingClientRect on a disconnected node - // in IE throws an error. - ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? - swap( elem, cssShow, function() { - return getWidthOrHeight( elem, name, extra ); - } ) : - getWidthOrHeight( elem, name, extra ); - } - }, - - set: function( elem, value, extra ) { - var matches, - styles = extra && getStyles( elem ), - subtract = extra && augmentWidthOrHeight( - elem, - name, - extra, - jQuery.css( elem, "boxSizing", false, styles ) === "border-box", - styles - ); - - // Convert to pixels if value adjustment is needed - if ( subtract && ( matches = rcssNum.exec( value ) ) && - ( matches[ 3 ] || "px" ) !== "px" ) { - - elem.style[ name ] = value; - value = jQuery.css( elem, name ); - } - - return setPositiveNumber( elem, value, subtract ); - } - }; -} ); - -jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, - function( elem, computed ) { - if ( computed ) { - return ( parseFloat( curCSS( elem, "marginLeft" ) ) || - elem.getBoundingClientRect().left - - swap( elem, { marginLeft: 0 }, function() { - return elem.getBoundingClientRect().left; - } ) - ) + "px"; - } - } -); - -// These hooks are used by animate to expand properties -jQuery.each( { - margin: "", - padding: "", - border: "Width" -}, function( prefix, suffix ) { - jQuery.cssHooks[ prefix + suffix ] = { - expand: function( value ) { - var i = 0, - expanded = {}, - - // Assumes a single number if not a string - parts = typeof value === "string" ? value.split( " " ) : [ value ]; - - for ( ; i < 4; i++ ) { - expanded[ prefix + cssExpand[ i ] + suffix ] = - parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; - } - - return expanded; - } - }; - - if ( !rmargin.test( prefix ) ) { - jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; - } -} ); - -jQuery.fn.extend( { - css: function( name, value ) { - return access( this, function( elem, name, value ) { - var styles, len, - map = {}, - i = 0; - - if ( Array.isArray( name ) ) { - styles = getStyles( elem ); - len = name.length; - - for ( ; i < len; i++ ) { - map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); - } - - return map; - } - - return value !== undefined ? - jQuery.style( elem, name, value ) : - jQuery.css( elem, name ); - }, name, value, arguments.length > 1 ); - } -} ); - - -function Tween( elem, options, prop, end, easing ) { - return new Tween.prototype.init( elem, options, prop, end, easing ); -} -jQuery.Tween = Tween; - -Tween.prototype = { - constructor: Tween, - init: function( elem, options, prop, end, easing, unit ) { - this.elem = elem; - this.prop = prop; - this.easing = easing || jQuery.easing._default; - this.options = options; - this.start = this.now = this.cur(); - this.end = end; - this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); - }, - cur: function() { - var hooks = Tween.propHooks[ this.prop ]; - - return hooks && hooks.get ? - hooks.get( this ) : - Tween.propHooks._default.get( this ); - }, - run: function( percent ) { - var eased, - hooks = Tween.propHooks[ this.prop ]; - - if ( this.options.duration ) { - this.pos = eased = jQuery.easing[ this.easing ]( - percent, this.options.duration * percent, 0, 1, this.options.duration - ); - } else { - this.pos = eased = percent; - } - this.now = ( this.end - this.start ) * eased + this.start; - - if ( this.options.step ) { - this.options.step.call( this.elem, this.now, this ); - } - - if ( hooks && hooks.set ) { - hooks.set( this ); - } else { - Tween.propHooks._default.set( this ); - } - return this; - } -}; - -Tween.prototype.init.prototype = Tween.prototype; - -Tween.propHooks = { - _default: { - get: function( tween ) { - var result; - - // Use a property on the element directly when it is not a DOM element, - // or when there is no matching style property that exists. - if ( tween.elem.nodeType !== 1 || - tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { - return tween.elem[ tween.prop ]; - } - - // Passing an empty string as a 3rd parameter to .css will automatically - // attempt a parseFloat and fallback to a string if the parse fails. - // Simple values such as "10px" are parsed to Float; - // complex values such as "rotate(1rad)" are returned as-is. - result = jQuery.css( tween.elem, tween.prop, "" ); - - // Empty strings, null, undefined and "auto" are converted to 0. - return !result || result === "auto" ? 0 : result; - }, - set: function( tween ) { - - // Use step hook for back compat. - // Use cssHook if its there. - // Use .style if available and use plain properties where available. - if ( jQuery.fx.step[ tween.prop ] ) { - jQuery.fx.step[ tween.prop ]( tween ); - } else if ( tween.elem.nodeType === 1 && - ( tween.elem.style[ jQuery.cssProps[ tween.prop ] ] != null || - jQuery.cssHooks[ tween.prop ] ) ) { - jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); - } else { - tween.elem[ tween.prop ] = tween.now; - } - } - } -}; - -// Support: IE <=9 only -// Panic based approach to setting things on disconnected nodes -Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { - set: function( tween ) { - if ( tween.elem.nodeType && tween.elem.parentNode ) { - tween.elem[ tween.prop ] = tween.now; - } - } -}; - -jQuery.easing = { - linear: function( p ) { - return p; - }, - swing: function( p ) { - return 0.5 - Math.cos( p * Math.PI ) / 2; - }, - _default: "swing" -}; - -jQuery.fx = Tween.prototype.init; - -// Back compat <1.8 extension point -jQuery.fx.step = {}; - - - - -var - fxNow, inProgress, - rfxtypes = /^(?:toggle|show|hide)$/, - rrun = /queueHooks$/; - -function schedule() { - if ( inProgress ) { - if ( document.hidden === false && window.requestAnimationFrame ) { - window.requestAnimationFrame( schedule ); - } else { - window.setTimeout( schedule, jQuery.fx.interval ); - } - - jQuery.fx.tick(); - } -} - -// Animations created synchronously will run synchronously -function createFxNow() { - window.setTimeout( function() { - fxNow = undefined; - } ); - return ( fxNow = jQuery.now() ); -} - -// Generate parameters to create a standard animation -function genFx( type, includeWidth ) { - var which, - i = 0, - attrs = { height: type }; - - // If we include width, step value is 1 to do all cssExpand values, - // otherwise step value is 2 to skip over Left and Right - includeWidth = includeWidth ? 1 : 0; - for ( ; i < 4; i += 2 - includeWidth ) { - which = cssExpand[ i ]; - attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; - } - - if ( includeWidth ) { - attrs.opacity = attrs.width = type; - } - - return attrs; -} - -function createTween( value, prop, animation ) { - var tween, - collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), - index = 0, - length = collection.length; - for ( ; index < length; index++ ) { - if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { - - // We're done with this property - return tween; - } - } -} - -function defaultPrefilter( elem, props, opts ) { - var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, - isBox = "width" in props || "height" in props, - anim = this, - orig = {}, - style = elem.style, - hidden = elem.nodeType && isHiddenWithinTree( elem ), - dataShow = dataPriv.get( elem, "fxshow" ); - - // Queue-skipping animations hijack the fx hooks - if ( !opts.queue ) { - hooks = jQuery._queueHooks( elem, "fx" ); - if ( hooks.unqueued == null ) { - hooks.unqueued = 0; - oldfire = hooks.empty.fire; - hooks.empty.fire = function() { - if ( !hooks.unqueued ) { - oldfire(); - } - }; - } - hooks.unqueued++; - - anim.always( function() { - - // Ensure the complete handler is called before this completes - anim.always( function() { - hooks.unqueued--; - if ( !jQuery.queue( elem, "fx" ).length ) { - hooks.empty.fire(); - } - } ); - } ); - } - - // Detect show/hide animations - for ( prop in props ) { - value = props[ prop ]; - if ( rfxtypes.test( value ) ) { - delete props[ prop ]; - toggle = toggle || value === "toggle"; - if ( value === ( hidden ? "hide" : "show" ) ) { - - // Pretend to be hidden if this is a "show" and - // there is still data from a stopped show/hide - if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { - hidden = true; - - // Ignore all other no-op show/hide data - } else { - continue; - } - } - orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); - } - } - - // Bail out if this is a no-op like .hide().hide() - propTween = !jQuery.isEmptyObject( props ); - if ( !propTween && jQuery.isEmptyObject( orig ) ) { - return; - } - - // Restrict "overflow" and "display" styles during box animations - if ( isBox && elem.nodeType === 1 ) { - - // Support: IE <=9 - 11, Edge 12 - 13 - // Record all 3 overflow attributes because IE does not infer the shorthand - // from identically-valued overflowX and overflowY - opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; - - // Identify a display type, preferring old show/hide data over the CSS cascade - restoreDisplay = dataShow && dataShow.display; - if ( restoreDisplay == null ) { - restoreDisplay = dataPriv.get( elem, "display" ); - } - display = jQuery.css( elem, "display" ); - if ( display === "none" ) { - if ( restoreDisplay ) { - display = restoreDisplay; - } else { - - // Get nonempty value(s) by temporarily forcing visibility - showHide( [ elem ], true ); - restoreDisplay = elem.style.display || restoreDisplay; - display = jQuery.css( elem, "display" ); - showHide( [ elem ] ); - } - } - - // Animate inline elements as inline-block - if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { - if ( jQuery.css( elem, "float" ) === "none" ) { - - // Restore the original display value at the end of pure show/hide animations - if ( !propTween ) { - anim.done( function() { - style.display = restoreDisplay; - } ); - if ( restoreDisplay == null ) { - display = style.display; - restoreDisplay = display === "none" ? "" : display; - } - } - style.display = "inline-block"; - } - } - } - - if ( opts.overflow ) { - style.overflow = "hidden"; - anim.always( function() { - style.overflow = opts.overflow[ 0 ]; - style.overflowX = opts.overflow[ 1 ]; - style.overflowY = opts.overflow[ 2 ]; - } ); - } - - // Implement show/hide animations - propTween = false; - for ( prop in orig ) { - - // General show/hide setup for this element animation - if ( !propTween ) { - if ( dataShow ) { - if ( "hidden" in dataShow ) { - hidden = dataShow.hidden; - } - } else { - dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); - } - - // Store hidden/visible for toggle so `.stop().toggle()` "reverses" - if ( toggle ) { - dataShow.hidden = !hidden; - } - - // Show elements before animating them - if ( hidden ) { - showHide( [ elem ], true ); - } - - /* eslint-disable no-loop-func */ - - anim.done( function() { - - /* eslint-enable no-loop-func */ - - // The final step of a "hide" animation is actually hiding the element - if ( !hidden ) { - showHide( [ elem ] ); - } - dataPriv.remove( elem, "fxshow" ); - for ( prop in orig ) { - jQuery.style( elem, prop, orig[ prop ] ); - } - } ); - } - - // Per-property setup - propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); - if ( !( prop in dataShow ) ) { - dataShow[ prop ] = propTween.start; - if ( hidden ) { - propTween.end = propTween.start; - propTween.start = 0; - } - } - } -} - -function propFilter( props, specialEasing ) { - var index, name, easing, value, hooks; - - // camelCase, specialEasing and expand cssHook pass - for ( index in props ) { - name = jQuery.camelCase( index ); - easing = specialEasing[ name ]; - value = props[ index ]; - if ( Array.isArray( value ) ) { - easing = value[ 1 ]; - value = props[ index ] = value[ 0 ]; - } - - if ( index !== name ) { - props[ name ] = value; - delete props[ index ]; - } - - hooks = jQuery.cssHooks[ name ]; - if ( hooks && "expand" in hooks ) { - value = hooks.expand( value ); - delete props[ name ]; - - // Not quite $.extend, this won't overwrite existing keys. - // Reusing 'index' because we have the correct "name" - for ( index in value ) { - if ( !( index in props ) ) { - props[ index ] = value[ index ]; - specialEasing[ index ] = easing; - } - } - } else { - specialEasing[ name ] = easing; - } - } -} - -function Animation( elem, properties, options ) { - var result, - stopped, - index = 0, - length = Animation.prefilters.length, - deferred = jQuery.Deferred().always( function() { - - // Don't match elem in the :animated selector - delete tick.elem; - } ), - tick = function() { - if ( stopped ) { - return false; - } - var currentTime = fxNow || createFxNow(), - remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), - - // Support: Android 2.3 only - // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) - temp = remaining / animation.duration || 0, - percent = 1 - temp, - index = 0, - length = animation.tweens.length; - - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( percent ); - } - - deferred.notifyWith( elem, [ animation, percent, remaining ] ); - - // If there's more to do, yield - if ( percent < 1 && length ) { - return remaining; - } - - // If this was an empty animation, synthesize a final progress notification - if ( !length ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - } - - // Resolve the animation and report its conclusion - deferred.resolveWith( elem, [ animation ] ); - return false; - }, - animation = deferred.promise( { - elem: elem, - props: jQuery.extend( {}, properties ), - opts: jQuery.extend( true, { - specialEasing: {}, - easing: jQuery.easing._default - }, options ), - originalProperties: properties, - originalOptions: options, - startTime: fxNow || createFxNow(), - duration: options.duration, - tweens: [], - createTween: function( prop, end ) { - var tween = jQuery.Tween( elem, animation.opts, prop, end, - animation.opts.specialEasing[ prop ] || animation.opts.easing ); - animation.tweens.push( tween ); - return tween; - }, - stop: function( gotoEnd ) { - var index = 0, - - // If we are going to the end, we want to run all the tweens - // otherwise we skip this part - length = gotoEnd ? animation.tweens.length : 0; - if ( stopped ) { - return this; - } - stopped = true; - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( 1 ); - } - - // Resolve when we played the last frame; otherwise, reject - if ( gotoEnd ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - deferred.resolveWith( elem, [ animation, gotoEnd ] ); - } else { - deferred.rejectWith( elem, [ animation, gotoEnd ] ); - } - return this; - } - } ), - props = animation.props; - - propFilter( props, animation.opts.specialEasing ); - - for ( ; index < length; index++ ) { - result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); - if ( result ) { - if ( jQuery.isFunction( result.stop ) ) { - jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = - jQuery.proxy( result.stop, result ); - } - return result; - } - } - - jQuery.map( props, createTween, animation ); - - if ( jQuery.isFunction( animation.opts.start ) ) { - animation.opts.start.call( elem, animation ); - } - - // Attach callbacks from options - animation - .progress( animation.opts.progress ) - .done( animation.opts.done, animation.opts.complete ) - .fail( animation.opts.fail ) - .always( animation.opts.always ); - - jQuery.fx.timer( - jQuery.extend( tick, { - elem: elem, - anim: animation, - queue: animation.opts.queue - } ) - ); - - return animation; -} - -jQuery.Animation = jQuery.extend( Animation, { - - tweeners: { - "*": [ function( prop, value ) { - var tween = this.createTween( prop, value ); - adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); - return tween; - } ] - }, - - tweener: function( props, callback ) { - if ( jQuery.isFunction( props ) ) { - callback = props; - props = [ "*" ]; - } else { - props = props.match( rnothtmlwhite ); - } - - var prop, - index = 0, - length = props.length; - - for ( ; index < length; index++ ) { - prop = props[ index ]; - Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; - Animation.tweeners[ prop ].unshift( callback ); - } - }, - - prefilters: [ defaultPrefilter ], - - prefilter: function( callback, prepend ) { - if ( prepend ) { - Animation.prefilters.unshift( callback ); - } else { - Animation.prefilters.push( callback ); - } - } -} ); - -jQuery.speed = function( speed, easing, fn ) { - var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { - complete: fn || !fn && easing || - jQuery.isFunction( speed ) && speed, - duration: speed, - easing: fn && easing || easing && !jQuery.isFunction( easing ) && easing - }; - - // Go to the end state if fx are off - if ( jQuery.fx.off ) { - opt.duration = 0; - - } else { - if ( typeof opt.duration !== "number" ) { - if ( opt.duration in jQuery.fx.speeds ) { - opt.duration = jQuery.fx.speeds[ opt.duration ]; - - } else { - opt.duration = jQuery.fx.speeds._default; - } - } - } - - // Normalize opt.queue - true/undefined/null -> "fx" - if ( opt.queue == null || opt.queue === true ) { - opt.queue = "fx"; - } - - // Queueing - opt.old = opt.complete; - - opt.complete = function() { - if ( jQuery.isFunction( opt.old ) ) { - opt.old.call( this ); - } - - if ( opt.queue ) { - jQuery.dequeue( this, opt.queue ); - } - }; - - return opt; -}; - -jQuery.fn.extend( { - fadeTo: function( speed, to, easing, callback ) { - - // Show any hidden elements after setting opacity to 0 - return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() - - // Animate to the value specified - .end().animate( { opacity: to }, speed, easing, callback ); - }, - animate: function( prop, speed, easing, callback ) { - var empty = jQuery.isEmptyObject( prop ), - optall = jQuery.speed( speed, easing, callback ), - doAnimation = function() { - - // Operate on a copy of prop so per-property easing won't be lost - var anim = Animation( this, jQuery.extend( {}, prop ), optall ); - - // Empty animations, or finishing resolves immediately - if ( empty || dataPriv.get( this, "finish" ) ) { - anim.stop( true ); - } - }; - doAnimation.finish = doAnimation; - - return empty || optall.queue === false ? - this.each( doAnimation ) : - this.queue( optall.queue, doAnimation ); - }, - stop: function( type, clearQueue, gotoEnd ) { - var stopQueue = function( hooks ) { - var stop = hooks.stop; - delete hooks.stop; - stop( gotoEnd ); - }; - - if ( typeof type !== "string" ) { - gotoEnd = clearQueue; - clearQueue = type; - type = undefined; - } - if ( clearQueue && type !== false ) { - this.queue( type || "fx", [] ); - } - - return this.each( function() { - var dequeue = true, - index = type != null && type + "queueHooks", - timers = jQuery.timers, - data = dataPriv.get( this ); - - if ( index ) { - if ( data[ index ] && data[ index ].stop ) { - stopQueue( data[ index ] ); - } - } else { - for ( index in data ) { - if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { - stopQueue( data[ index ] ); - } - } - } - - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && - ( type == null || timers[ index ].queue === type ) ) { - - timers[ index ].anim.stop( gotoEnd ); - dequeue = false; - timers.splice( index, 1 ); - } - } - - // Start the next in the queue if the last step wasn't forced. - // Timers currently will call their complete callbacks, which - // will dequeue but only if they were gotoEnd. - if ( dequeue || !gotoEnd ) { - jQuery.dequeue( this, type ); - } - } ); - }, - finish: function( type ) { - if ( type !== false ) { - type = type || "fx"; - } - return this.each( function() { - var index, - data = dataPriv.get( this ), - queue = data[ type + "queue" ], - hooks = data[ type + "queueHooks" ], - timers = jQuery.timers, - length = queue ? queue.length : 0; - - // Enable finishing flag on private data - data.finish = true; - - // Empty the queue first - jQuery.queue( this, type, [] ); - - if ( hooks && hooks.stop ) { - hooks.stop.call( this, true ); - } - - // Look for any active animations, and finish them - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && timers[ index ].queue === type ) { - timers[ index ].anim.stop( true ); - timers.splice( index, 1 ); - } - } - - // Look for any animations in the old queue and finish them - for ( index = 0; index < length; index++ ) { - if ( queue[ index ] && queue[ index ].finish ) { - queue[ index ].finish.call( this ); - } - } - - // Turn off finishing flag - delete data.finish; - } ); - } -} ); - -jQuery.each( [ "toggle", "show", "hide" ], function( i, name ) { - var cssFn = jQuery.fn[ name ]; - jQuery.fn[ name ] = function( speed, easing, callback ) { - return speed == null || typeof speed === "boolean" ? - cssFn.apply( this, arguments ) : - this.animate( genFx( name, true ), speed, easing, callback ); - }; -} ); - -// Generate shortcuts for custom animations -jQuery.each( { - slideDown: genFx( "show" ), - slideUp: genFx( "hide" ), - slideToggle: genFx( "toggle" ), - fadeIn: { opacity: "show" }, - fadeOut: { opacity: "hide" }, - fadeToggle: { opacity: "toggle" } -}, function( name, props ) { - jQuery.fn[ name ] = function( speed, easing, callback ) { - return this.animate( props, speed, easing, callback ); - }; -} ); - -jQuery.timers = []; -jQuery.fx.tick = function() { - var timer, - i = 0, - timers = jQuery.timers; - - fxNow = jQuery.now(); - - for ( ; i < timers.length; i++ ) { - timer = timers[ i ]; - - // Run the timer and safely remove it when done (allowing for external removal) - if ( !timer() && timers[ i ] === timer ) { - timers.splice( i--, 1 ); - } - } - - if ( !timers.length ) { - jQuery.fx.stop(); - } - fxNow = undefined; -}; - -jQuery.fx.timer = function( timer ) { - jQuery.timers.push( timer ); - jQuery.fx.start(); -}; - -jQuery.fx.interval = 13; -jQuery.fx.start = function() { - if ( inProgress ) { - return; - } - - inProgress = true; - schedule(); -}; - -jQuery.fx.stop = function() { - inProgress = null; -}; - -jQuery.fx.speeds = { - slow: 600, - fast: 200, - - // Default speed - _default: 400 -}; - - -// Based off of the plugin by Clint Helfers, with permission. -// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ -jQuery.fn.delay = function( time, type ) { - time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; - type = type || "fx"; - - return this.queue( type, function( next, hooks ) { - var timeout = window.setTimeout( next, time ); - hooks.stop = function() { - window.clearTimeout( timeout ); - }; - } ); -}; - - -( function() { - var input = document.createElement( "input" ), - select = document.createElement( "select" ), - opt = select.appendChild( document.createElement( "option" ) ); - - input.type = "checkbox"; - - // Support: Android <=4.3 only - // Default value for a checkbox should be "on" - support.checkOn = input.value !== ""; - - // Support: IE <=11 only - // Must access selectedIndex to make default options select - support.optSelected = opt.selected; - - // Support: IE <=11 only - // An input loses its value after becoming a radio - input = document.createElement( "input" ); - input.value = "t"; - input.type = "radio"; - support.radioValue = input.value === "t"; -} )(); - - -var boolHook, - attrHandle = jQuery.expr.attrHandle; - -jQuery.fn.extend( { - attr: function( name, value ) { - return access( this, jQuery.attr, name, value, arguments.length > 1 ); - }, - - removeAttr: function( name ) { - return this.each( function() { - jQuery.removeAttr( this, name ); - } ); - } -} ); - -jQuery.extend( { - attr: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set attributes on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - // Fallback to prop when attributes are not supported - if ( typeof elem.getAttribute === "undefined" ) { - return jQuery.prop( elem, name, value ); - } - - // Attribute hooks are determined by the lowercase version - // Grab necessary hook if one is defined - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - hooks = jQuery.attrHooks[ name.toLowerCase() ] || - ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); - } - - if ( value !== undefined ) { - if ( value === null ) { - jQuery.removeAttr( elem, name ); - return; - } - - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - elem.setAttribute( name, value + "" ); - return value; - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - ret = jQuery.find.attr( elem, name ); - - // Non-existent attributes return null, we normalize to undefined - return ret == null ? undefined : ret; - }, - - attrHooks: { - type: { - set: function( elem, value ) { - if ( !support.radioValue && value === "radio" && - nodeName( elem, "input" ) ) { - var val = elem.value; - elem.setAttribute( "type", value ); - if ( val ) { - elem.value = val; - } - return value; - } - } - } - }, - - removeAttr: function( elem, value ) { - var name, - i = 0, - - // Attribute names can contain non-HTML whitespace characters - // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 - attrNames = value && value.match( rnothtmlwhite ); - - if ( attrNames && elem.nodeType === 1 ) { - while ( ( name = attrNames[ i++ ] ) ) { - elem.removeAttribute( name ); - } - } - } -} ); - -// Hooks for boolean attributes -boolHook = { - set: function( elem, value, name ) { - if ( value === false ) { - - // Remove boolean attributes when set to false - jQuery.removeAttr( elem, name ); - } else { - elem.setAttribute( name, name ); - } - return name; - } -}; - -jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( i, name ) { - var getter = attrHandle[ name ] || jQuery.find.attr; - - attrHandle[ name ] = function( elem, name, isXML ) { - var ret, handle, - lowercaseName = name.toLowerCase(); - - if ( !isXML ) { - - // Avoid an infinite loop by temporarily removing this function from the getter - handle = attrHandle[ lowercaseName ]; - attrHandle[ lowercaseName ] = ret; - ret = getter( elem, name, isXML ) != null ? - lowercaseName : - null; - attrHandle[ lowercaseName ] = handle; - } - return ret; - }; -} ); - - - - -var rfocusable = /^(?:input|select|textarea|button)$/i, - rclickable = /^(?:a|area)$/i; - -jQuery.fn.extend( { - prop: function( name, value ) { - return access( this, jQuery.prop, name, value, arguments.length > 1 ); - }, - - removeProp: function( name ) { - return this.each( function() { - delete this[ jQuery.propFix[ name ] || name ]; - } ); - } -} ); - -jQuery.extend( { - prop: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set properties on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - - // Fix name and attach hooks - name = jQuery.propFix[ name ] || name; - hooks = jQuery.propHooks[ name ]; - } - - if ( value !== undefined ) { - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - return ( elem[ name ] = value ); - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - return elem[ name ]; - }, - - propHooks: { - tabIndex: { - get: function( elem ) { - - // Support: IE <=9 - 11 only - // elem.tabIndex doesn't always return the - // correct value when it hasn't been explicitly set - // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ - // Use proper attribute retrieval(#12072) - var tabindex = jQuery.find.attr( elem, "tabindex" ); - - if ( tabindex ) { - return parseInt( tabindex, 10 ); - } - - if ( - rfocusable.test( elem.nodeName ) || - rclickable.test( elem.nodeName ) && - elem.href - ) { - return 0; - } - - return -1; - } - } - }, - - propFix: { - "for": "htmlFor", - "class": "className" - } -} ); - -// Support: IE <=11 only -// Accessing the selectedIndex property -// forces the browser to respect setting selected -// on the option -// The getter ensures a default option is selected -// when in an optgroup -// eslint rule "no-unused-expressions" is disabled for this code -// since it considers such accessions noop -if ( !support.optSelected ) { - jQuery.propHooks.selected = { - get: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent && parent.parentNode ) { - parent.parentNode.selectedIndex; - } - return null; - }, - set: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent ) { - parent.selectedIndex; - - if ( parent.parentNode ) { - parent.parentNode.selectedIndex; - } - } - } - }; -} - -jQuery.each( [ - "tabIndex", - "readOnly", - "maxLength", - "cellSpacing", - "cellPadding", - "rowSpan", - "colSpan", - "useMap", - "frameBorder", - "contentEditable" -], function() { - jQuery.propFix[ this.toLowerCase() ] = this; -} ); - - - - - // Strip and collapse whitespace according to HTML spec - // https://html.spec.whatwg.org/multipage/infrastructure.html#strip-and-collapse-whitespace - function stripAndCollapse( value ) { - var tokens = value.match( rnothtmlwhite ) || []; - return tokens.join( " " ); - } - - -function getClass( elem ) { - return elem.getAttribute && elem.getAttribute( "class" ) || ""; -} - -jQuery.fn.extend( { - addClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( jQuery.isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - if ( typeof value === "string" && value ) { - classes = value.match( rnothtmlwhite ) || []; - - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - if ( cur.indexOf( " " + clazz + " " ) < 0 ) { - cur += clazz + " "; - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - removeClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( jQuery.isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - if ( !arguments.length ) { - return this.attr( "class", "" ); - } - - if ( typeof value === "string" && value ) { - classes = value.match( rnothtmlwhite ) || []; - - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - - // This expression is here for better compressibility (see addClass) - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - - // Remove *all* instances - while ( cur.indexOf( " " + clazz + " " ) > -1 ) { - cur = cur.replace( " " + clazz + " ", " " ); - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - toggleClass: function( value, stateVal ) { - var type = typeof value; - - if ( typeof stateVal === "boolean" && type === "string" ) { - return stateVal ? this.addClass( value ) : this.removeClass( value ); - } - - if ( jQuery.isFunction( value ) ) { - return this.each( function( i ) { - jQuery( this ).toggleClass( - value.call( this, i, getClass( this ), stateVal ), - stateVal - ); - } ); - } - - return this.each( function() { - var className, i, self, classNames; - - if ( type === "string" ) { - - // Toggle individual class names - i = 0; - self = jQuery( this ); - classNames = value.match( rnothtmlwhite ) || []; - - while ( ( className = classNames[ i++ ] ) ) { - - // Check each className given, space separated list - if ( self.hasClass( className ) ) { - self.removeClass( className ); - } else { - self.addClass( className ); - } - } - - // Toggle whole class name - } else if ( value === undefined || type === "boolean" ) { - className = getClass( this ); - if ( className ) { - - // Store className if set - dataPriv.set( this, "__className__", className ); - } - - // If the element has a class name or if we're passed `false`, - // then remove the whole classname (if there was one, the above saved it). - // Otherwise bring back whatever was previously saved (if anything), - // falling back to the empty string if nothing was stored. - if ( this.setAttribute ) { - this.setAttribute( "class", - className || value === false ? - "" : - dataPriv.get( this, "__className__" ) || "" - ); - } - } - } ); - }, - - hasClass: function( selector ) { - var className, elem, - i = 0; - - className = " " + selector + " "; - while ( ( elem = this[ i++ ] ) ) { - if ( elem.nodeType === 1 && - ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { - return true; - } - } - - return false; - } -} ); - - - - -var rreturn = /\r/g; - -jQuery.fn.extend( { - val: function( value ) { - var hooks, ret, isFunction, - elem = this[ 0 ]; - - if ( !arguments.length ) { - if ( elem ) { - hooks = jQuery.valHooks[ elem.type ] || - jQuery.valHooks[ elem.nodeName.toLowerCase() ]; - - if ( hooks && - "get" in hooks && - ( ret = hooks.get( elem, "value" ) ) !== undefined - ) { - return ret; - } - - ret = elem.value; - - // Handle most common string cases - if ( typeof ret === "string" ) { - return ret.replace( rreturn, "" ); - } - - // Handle cases where value is null/undef or number - return ret == null ? "" : ret; - } - - return; - } - - isFunction = jQuery.isFunction( value ); - - return this.each( function( i ) { - var val; - - if ( this.nodeType !== 1 ) { - return; - } - - if ( isFunction ) { - val = value.call( this, i, jQuery( this ).val() ); - } else { - val = value; - } - - // Treat null/undefined as ""; convert numbers to string - if ( val == null ) { - val = ""; - - } else if ( typeof val === "number" ) { - val += ""; - - } else if ( Array.isArray( val ) ) { - val = jQuery.map( val, function( value ) { - return value == null ? "" : value + ""; - } ); - } - - hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; - - // If set returns undefined, fall back to normal setting - if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { - this.value = val; - } - } ); - } -} ); - -jQuery.extend( { - valHooks: { - option: { - get: function( elem ) { - - var val = jQuery.find.attr( elem, "value" ); - return val != null ? - val : - - // Support: IE <=10 - 11 only - // option.text throws exceptions (#14686, #14858) - // Strip and collapse whitespace - // https://html.spec.whatwg.org/#strip-and-collapse-whitespace - stripAndCollapse( jQuery.text( elem ) ); - } - }, - select: { - get: function( elem ) { - var value, option, i, - options = elem.options, - index = elem.selectedIndex, - one = elem.type === "select-one", - values = one ? null : [], - max = one ? index + 1 : options.length; - - if ( index < 0 ) { - i = max; - - } else { - i = one ? index : 0; - } - - // Loop through all the selected options - for ( ; i < max; i++ ) { - option = options[ i ]; - - // Support: IE <=9 only - // IE8-9 doesn't update selected after form reset (#2551) - if ( ( option.selected || i === index ) && - - // Don't return options that are disabled or in a disabled optgroup - !option.disabled && - ( !option.parentNode.disabled || - !nodeName( option.parentNode, "optgroup" ) ) ) { - - // Get the specific value for the option - value = jQuery( option ).val(); - - // We don't need an array for one selects - if ( one ) { - return value; - } - - // Multi-Selects return an array - values.push( value ); - } - } - - return values; - }, - - set: function( elem, value ) { - var optionSet, option, - options = elem.options, - values = jQuery.makeArray( value ), - i = options.length; - - while ( i-- ) { - option = options[ i ]; - - /* eslint-disable no-cond-assign */ - - if ( option.selected = - jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 - ) { - optionSet = true; - } - - /* eslint-enable no-cond-assign */ - } - - // Force browsers to behave consistently when non-matching value is set - if ( !optionSet ) { - elem.selectedIndex = -1; - } - return values; - } - } - } -} ); - -// Radios and checkboxes getter/setter -jQuery.each( [ "radio", "checkbox" ], function() { - jQuery.valHooks[ this ] = { - set: function( elem, value ) { - if ( Array.isArray( value ) ) { - return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); - } - } - }; - if ( !support.checkOn ) { - jQuery.valHooks[ this ].get = function( elem ) { - return elem.getAttribute( "value" ) === null ? "on" : elem.value; - }; - } -} ); - - - - -// Return jQuery for attributes-only inclusion - - -var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/; - -jQuery.extend( jQuery.event, { - - trigger: function( event, data, elem, onlyHandlers ) { - - var i, cur, tmp, bubbleType, ontype, handle, special, - eventPath = [ elem || document ], - type = hasOwn.call( event, "type" ) ? event.type : event, - namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; - - cur = tmp = elem = elem || document; - - // Don't do events on text and comment nodes - if ( elem.nodeType === 3 || elem.nodeType === 8 ) { - return; - } - - // focus/blur morphs to focusin/out; ensure we're not firing them right now - if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { - return; - } - - if ( type.indexOf( "." ) > -1 ) { - - // Namespaced trigger; create a regexp to match event type in handle() - namespaces = type.split( "." ); - type = namespaces.shift(); - namespaces.sort(); - } - ontype = type.indexOf( ":" ) < 0 && "on" + type; - - // Caller can pass in a jQuery.Event object, Object, or just an event type string - event = event[ jQuery.expando ] ? - event : - new jQuery.Event( type, typeof event === "object" && event ); - - // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) - event.isTrigger = onlyHandlers ? 2 : 3; - event.namespace = namespaces.join( "." ); - event.rnamespace = event.namespace ? - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : - null; - - // Clean up the event in case it is being reused - event.result = undefined; - if ( !event.target ) { - event.target = elem; - } - - // Clone any incoming data and prepend the event, creating the handler arg list - data = data == null ? - [ event ] : - jQuery.makeArray( data, [ event ] ); - - // Allow special events to draw outside the lines - special = jQuery.event.special[ type ] || {}; - if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { - return; - } - - // Determine event propagation path in advance, per W3C events spec (#9951) - // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) - if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) { - - bubbleType = special.delegateType || type; - if ( !rfocusMorph.test( bubbleType + type ) ) { - cur = cur.parentNode; - } - for ( ; cur; cur = cur.parentNode ) { - eventPath.push( cur ); - tmp = cur; - } - - // Only add window if we got to document (e.g., not plain obj or detached DOM) - if ( tmp === ( elem.ownerDocument || document ) ) { - eventPath.push( tmp.defaultView || tmp.parentWindow || window ); - } - } - - // Fire handlers on the event path - i = 0; - while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { - - event.type = i > 1 ? - bubbleType : - special.bindType || type; - - // jQuery handler - handle = ( dataPriv.get( cur, "events" ) || {} )[ event.type ] && - dataPriv.get( cur, "handle" ); - if ( handle ) { - handle.apply( cur, data ); - } - - // Native handler - handle = ontype && cur[ ontype ]; - if ( handle && handle.apply && acceptData( cur ) ) { - event.result = handle.apply( cur, data ); - if ( event.result === false ) { - event.preventDefault(); - } - } - } - event.type = type; - - // If nobody prevented the default action, do it now - if ( !onlyHandlers && !event.isDefaultPrevented() ) { - - if ( ( !special._default || - special._default.apply( eventPath.pop(), data ) === false ) && - acceptData( elem ) ) { - - // Call a native DOM method on the target with the same name as the event. - // Don't do default actions on window, that's where global variables be (#6170) - if ( ontype && jQuery.isFunction( elem[ type ] ) && !jQuery.isWindow( elem ) ) { - - // Don't re-trigger an onFOO event when we call its FOO() method - tmp = elem[ ontype ]; - - if ( tmp ) { - elem[ ontype ] = null; - } - - // Prevent re-triggering of the same event, since we already bubbled it above - jQuery.event.triggered = type; - elem[ type ](); - jQuery.event.triggered = undefined; - - if ( tmp ) { - elem[ ontype ] = tmp; - } - } - } - } - - return event.result; - }, - - // Piggyback on a donor event to simulate a different one - // Used only for `focus(in | out)` events - simulate: function( type, elem, event ) { - var e = jQuery.extend( - new jQuery.Event(), - event, - { - type: type, - isSimulated: true - } - ); - - jQuery.event.trigger( e, null, elem ); - } - -} ); - -jQuery.fn.extend( { - - trigger: function( type, data ) { - return this.each( function() { - jQuery.event.trigger( type, data, this ); - } ); - }, - triggerHandler: function( type, data ) { - var elem = this[ 0 ]; - if ( elem ) { - return jQuery.event.trigger( type, data, elem, true ); - } - } -} ); - - -jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " + - "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " + - "change select submit keydown keypress keyup contextmenu" ).split( " " ), - function( i, name ) { - - // Handle event binding - jQuery.fn[ name ] = function( data, fn ) { - return arguments.length > 0 ? - this.on( name, null, data, fn ) : - this.trigger( name ); - }; -} ); - -jQuery.fn.extend( { - hover: function( fnOver, fnOut ) { - return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver ); - } -} ); - - - - -support.focusin = "onfocusin" in window; - - -// Support: Firefox <=44 -// Firefox doesn't have focus(in | out) events -// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 -// -// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 -// focus(in | out) events fire after focus & blur events, -// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order -// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 -if ( !support.focusin ) { - jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { - - // Attach a single capturing handler on the document while someone wants focusin/focusout - var handler = function( event ) { - jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); - }; - - jQuery.event.special[ fix ] = { - setup: function() { - var doc = this.ownerDocument || this, - attaches = dataPriv.access( doc, fix ); - - if ( !attaches ) { - doc.addEventListener( orig, handler, true ); - } - dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); - }, - teardown: function() { - var doc = this.ownerDocument || this, - attaches = dataPriv.access( doc, fix ) - 1; - - if ( !attaches ) { - doc.removeEventListener( orig, handler, true ); - dataPriv.remove( doc, fix ); - - } else { - dataPriv.access( doc, fix, attaches ); - } - } - }; - } ); -} -var location = window.location; - -var nonce = jQuery.now(); - -var rquery = ( /\?/ ); - - - -// Cross-browser xml parsing -jQuery.parseXML = function( data ) { - var xml; - if ( !data || typeof data !== "string" ) { - return null; - } - - // Support: IE 9 - 11 only - // IE throws on parseFromString with invalid input. - try { - xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); - } catch ( e ) { - xml = undefined; - } - - if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) { - jQuery.error( "Invalid XML: " + data ); - } - return xml; -}; - - -var - rbracket = /\[\]$/, - rCRLF = /\r?\n/g, - rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, - rsubmittable = /^(?:input|select|textarea|keygen)/i; - -function buildParams( prefix, obj, traditional, add ) { - var name; - - if ( Array.isArray( obj ) ) { - - // Serialize array item. - jQuery.each( obj, function( i, v ) { - if ( traditional || rbracket.test( prefix ) ) { - - // Treat each array item as a scalar. - add( prefix, v ); - - } else { - - // Item is non-scalar (array or object), encode its numeric index. - buildParams( - prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", - v, - traditional, - add - ); - } - } ); - - } else if ( !traditional && jQuery.type( obj ) === "object" ) { - - // Serialize object item. - for ( name in obj ) { - buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); - } - - } else { - - // Serialize scalar item. - add( prefix, obj ); - } -} - -// Serialize an array of form elements or a set of -// key/values into a query string -jQuery.param = function( a, traditional ) { - var prefix, - s = [], - add = function( key, valueOrFunction ) { - - // If value is a function, invoke it and use its return value - var value = jQuery.isFunction( valueOrFunction ) ? - valueOrFunction() : - valueOrFunction; - - s[ s.length ] = encodeURIComponent( key ) + "=" + - encodeURIComponent( value == null ? "" : value ); - }; - - // If an array was passed in, assume that it is an array of form elements. - if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { - - // Serialize the form elements - jQuery.each( a, function() { - add( this.name, this.value ); - } ); - - } else { - - // If traditional, encode the "old" way (the way 1.3.2 or older - // did it), otherwise encode params recursively. - for ( prefix in a ) { - buildParams( prefix, a[ prefix ], traditional, add ); - } - } - - // Return the resulting serialization - return s.join( "&" ); -}; - -jQuery.fn.extend( { - serialize: function() { - return jQuery.param( this.serializeArray() ); - }, - serializeArray: function() { - return this.map( function() { - - // Can add propHook for "elements" to filter or add form elements - var elements = jQuery.prop( this, "elements" ); - return elements ? jQuery.makeArray( elements ) : this; - } ) - .filter( function() { - var type = this.type; - - // Use .is( ":disabled" ) so that fieldset[disabled] works - return this.name && !jQuery( this ).is( ":disabled" ) && - rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && - ( this.checked || !rcheckableType.test( type ) ); - } ) - .map( function( i, elem ) { - var val = jQuery( this ).val(); - - if ( val == null ) { - return null; - } - - if ( Array.isArray( val ) ) { - return jQuery.map( val, function( val ) { - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ); - } - - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ).get(); - } -} ); - - -var - r20 = /%20/g, - rhash = /#.*$/, - rantiCache = /([?&])_=[^&]*/, - rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, - - // #7653, #8125, #8152: local protocol detection - rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, - rnoContent = /^(?:GET|HEAD)$/, - rprotocol = /^\/\//, - - /* Prefilters - * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) - * 2) These are called: - * - BEFORE asking for a transport - * - AFTER param serialization (s.data is a string if s.processData is true) - * 3) key is the dataType - * 4) the catchall symbol "*" can be used - * 5) execution will start with transport dataType and THEN continue down to "*" if needed - */ - prefilters = {}, - - /* Transports bindings - * 1) key is the dataType - * 2) the catchall symbol "*" can be used - * 3) selection will start with transport dataType and THEN go to "*" if needed - */ - transports = {}, - - // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression - allTypes = "*/".concat( "*" ), - - // Anchor tag for parsing the document origin - originAnchor = document.createElement( "a" ); - originAnchor.href = location.href; - -// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport -function addToPrefiltersOrTransports( structure ) { - - // dataTypeExpression is optional and defaults to "*" - return function( dataTypeExpression, func ) { - - if ( typeof dataTypeExpression !== "string" ) { - func = dataTypeExpression; - dataTypeExpression = "*"; - } - - var dataType, - i = 0, - dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; - - if ( jQuery.isFunction( func ) ) { - - // For each dataType in the dataTypeExpression - while ( ( dataType = dataTypes[ i++ ] ) ) { - - // Prepend if requested - if ( dataType[ 0 ] === "+" ) { - dataType = dataType.slice( 1 ) || "*"; - ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); - - // Otherwise append - } else { - ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); - } - } - } - }; -} - -// Base inspection function for prefilters and transports -function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { - - var inspected = {}, - seekingTransport = ( structure === transports ); - - function inspect( dataType ) { - var selected; - inspected[ dataType ] = true; - jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { - var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); - if ( typeof dataTypeOrTransport === "string" && - !seekingTransport && !inspected[ dataTypeOrTransport ] ) { - - options.dataTypes.unshift( dataTypeOrTransport ); - inspect( dataTypeOrTransport ); - return false; - } else if ( seekingTransport ) { - return !( selected = dataTypeOrTransport ); - } - } ); - return selected; - } - - return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); -} - -// A special extend for ajax options -// that takes "flat" options (not to be deep extended) -// Fixes #9887 -function ajaxExtend( target, src ) { - var key, deep, - flatOptions = jQuery.ajaxSettings.flatOptions || {}; - - for ( key in src ) { - if ( src[ key ] !== undefined ) { - ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; - } - } - if ( deep ) { - jQuery.extend( true, target, deep ); - } - - return target; -} - -/* Handles responses to an ajax request: - * - finds the right dataType (mediates between content-type and expected dataType) - * - returns the corresponding response - */ -function ajaxHandleResponses( s, jqXHR, responses ) { - - var ct, type, finalDataType, firstDataType, - contents = s.contents, - dataTypes = s.dataTypes; - - // Remove auto dataType and get content-type in the process - while ( dataTypes[ 0 ] === "*" ) { - dataTypes.shift(); - if ( ct === undefined ) { - ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); - } - } - - // Check if we're dealing with a known content-type - if ( ct ) { - for ( type in contents ) { - if ( contents[ type ] && contents[ type ].test( ct ) ) { - dataTypes.unshift( type ); - break; - } - } - } - - // Check to see if we have a response for the expected dataType - if ( dataTypes[ 0 ] in responses ) { - finalDataType = dataTypes[ 0 ]; - } else { - - // Try convertible dataTypes - for ( type in responses ) { - if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { - finalDataType = type; - break; - } - if ( !firstDataType ) { - firstDataType = type; - } - } - - // Or just use first one - finalDataType = finalDataType || firstDataType; - } - - // If we found a dataType - // We add the dataType to the list if needed - // and return the corresponding response - if ( finalDataType ) { - if ( finalDataType !== dataTypes[ 0 ] ) { - dataTypes.unshift( finalDataType ); - } - return responses[ finalDataType ]; - } -} - -/* Chain conversions given the request and the original response - * Also sets the responseXXX fields on the jqXHR instance - */ -function ajaxConvert( s, response, jqXHR, isSuccess ) { - var conv2, current, conv, tmp, prev, - converters = {}, - - // Work with a copy of dataTypes in case we need to modify it for conversion - dataTypes = s.dataTypes.slice(); - - // Create converters map with lowercased keys - if ( dataTypes[ 1 ] ) { - for ( conv in s.converters ) { - converters[ conv.toLowerCase() ] = s.converters[ conv ]; - } - } - - current = dataTypes.shift(); - - // Convert to each sequential dataType - while ( current ) { - - if ( s.responseFields[ current ] ) { - jqXHR[ s.responseFields[ current ] ] = response; - } - - // Apply the dataFilter if provided - if ( !prev && isSuccess && s.dataFilter ) { - response = s.dataFilter( response, s.dataType ); - } - - prev = current; - current = dataTypes.shift(); - - if ( current ) { - - // There's only work to do if current dataType is non-auto - if ( current === "*" ) { - - current = prev; - - // Convert response if prev dataType is non-auto and differs from current - } else if ( prev !== "*" && prev !== current ) { - - // Seek a direct converter - conv = converters[ prev + " " + current ] || converters[ "* " + current ]; - - // If none found, seek a pair - if ( !conv ) { - for ( conv2 in converters ) { - - // If conv2 outputs current - tmp = conv2.split( " " ); - if ( tmp[ 1 ] === current ) { - - // If prev can be converted to accepted input - conv = converters[ prev + " " + tmp[ 0 ] ] || - converters[ "* " + tmp[ 0 ] ]; - if ( conv ) { - - // Condense equivalence converters - if ( conv === true ) { - conv = converters[ conv2 ]; - - // Otherwise, insert the intermediate dataType - } else if ( converters[ conv2 ] !== true ) { - current = tmp[ 0 ]; - dataTypes.unshift( tmp[ 1 ] ); - } - break; - } - } - } - } - - // Apply converter (if not an equivalence) - if ( conv !== true ) { - - // Unless errors are allowed to bubble, catch and return them - if ( conv && s.throws ) { - response = conv( response ); - } else { - try { - response = conv( response ); - } catch ( e ) { - return { - state: "parsererror", - error: conv ? e : "No conversion from " + prev + " to " + current - }; - } - } - } - } - } - } - - return { state: "success", data: response }; -} - -jQuery.extend( { - - // Counter for holding the number of active queries - active: 0, - - // Last-Modified header cache for next request - lastModified: {}, - etag: {}, - - ajaxSettings: { - url: location.href, - type: "GET", - isLocal: rlocalProtocol.test( location.protocol ), - global: true, - processData: true, - async: true, - contentType: "application/x-www-form-urlencoded; charset=UTF-8", - - /* - timeout: 0, - data: null, - dataType: null, - username: null, - password: null, - cache: null, - throws: false, - traditional: false, - headers: {}, - */ - - accepts: { - "*": allTypes, - text: "text/plain", - html: "text/html", - xml: "application/xml, text/xml", - json: "application/json, text/javascript" - }, - - contents: { - xml: /\bxml\b/, - html: /\bhtml/, - json: /\bjson\b/ - }, - - responseFields: { - xml: "responseXML", - text: "responseText", - json: "responseJSON" - }, - - // Data converters - // Keys separate source (or catchall "*") and destination types with a single space - converters: { - - // Convert anything to text - "* text": String, - - // Text to html (true = no transformation) - "text html": true, - - // Evaluate text as a json expression - "text json": JSON.parse, - - // Parse text as xml - "text xml": jQuery.parseXML - }, - - // For options that shouldn't be deep extended: - // you can add your own custom options here if - // and when you create one that shouldn't be - // deep extended (see ajaxExtend) - flatOptions: { - url: true, - context: true - } - }, - - // Creates a full fledged settings object into target - // with both ajaxSettings and settings fields. - // If target is omitted, writes into ajaxSettings. - ajaxSetup: function( target, settings ) { - return settings ? - - // Building a settings object - ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : - - // Extending ajaxSettings - ajaxExtend( jQuery.ajaxSettings, target ); - }, - - ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), - ajaxTransport: addToPrefiltersOrTransports( transports ), - - // Main method - ajax: function( url, options ) { - - // If url is an object, simulate pre-1.5 signature - if ( typeof url === "object" ) { - options = url; - url = undefined; - } - - // Force options to be an object - options = options || {}; - - var transport, - - // URL without anti-cache param - cacheURL, - - // Response headers - responseHeadersString, - responseHeaders, - - // timeout handle - timeoutTimer, - - // Url cleanup var - urlAnchor, - - // Request state (becomes false upon send and true upon completion) - completed, - - // To know if global events are to be dispatched - fireGlobals, - - // Loop variable - i, - - // uncached part of the url - uncached, - - // Create the final options object - s = jQuery.ajaxSetup( {}, options ), - - // Callbacks context - callbackContext = s.context || s, - - // Context for global events is callbackContext if it is a DOM node or jQuery collection - globalEventContext = s.context && - ( callbackContext.nodeType || callbackContext.jquery ) ? - jQuery( callbackContext ) : - jQuery.event, - - // Deferreds - deferred = jQuery.Deferred(), - completeDeferred = jQuery.Callbacks( "once memory" ), - - // Status-dependent callbacks - statusCode = s.statusCode || {}, - - // Headers (they are sent all at once) - requestHeaders = {}, - requestHeadersNames = {}, - - // Default abort message - strAbort = "canceled", - - // Fake xhr - jqXHR = { - readyState: 0, - - // Builds headers hashtable if needed - getResponseHeader: function( key ) { - var match; - if ( completed ) { - if ( !responseHeaders ) { - responseHeaders = {}; - while ( ( match = rheaders.exec( responseHeadersString ) ) ) { - responseHeaders[ match[ 1 ].toLowerCase() ] = match[ 2 ]; - } - } - match = responseHeaders[ key.toLowerCase() ]; - } - return match == null ? null : match; - }, - - // Raw string - getAllResponseHeaders: function() { - return completed ? responseHeadersString : null; - }, - - // Caches the header - setRequestHeader: function( name, value ) { - if ( completed == null ) { - name = requestHeadersNames[ name.toLowerCase() ] = - requestHeadersNames[ name.toLowerCase() ] || name; - requestHeaders[ name ] = value; - } - return this; - }, - - // Overrides response content-type header - overrideMimeType: function( type ) { - if ( completed == null ) { - s.mimeType = type; - } - return this; - }, - - // Status-dependent callbacks - statusCode: function( map ) { - var code; - if ( map ) { - if ( completed ) { - - // Execute the appropriate callbacks - jqXHR.always( map[ jqXHR.status ] ); - } else { - - // Lazy-add the new callbacks in a way that preserves old ones - for ( code in map ) { - statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; - } - } - } - return this; - }, - - // Cancel the request - abort: function( statusText ) { - var finalText = statusText || strAbort; - if ( transport ) { - transport.abort( finalText ); - } - done( 0, finalText ); - return this; - } - }; - - // Attach deferreds - deferred.promise( jqXHR ); - - // Add protocol if not provided (prefilters might expect it) - // Handle falsy url in the settings object (#10093: consistency with old signature) - // We also use the url parameter if available - s.url = ( ( url || s.url || location.href ) + "" ) - .replace( rprotocol, location.protocol + "//" ); - - // Alias method option to type as per ticket #12004 - s.type = options.method || options.type || s.method || s.type; - - // Extract dataTypes list - s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; - - // A cross-domain request is in order when the origin doesn't match the current origin. - if ( s.crossDomain == null ) { - urlAnchor = document.createElement( "a" ); - - // Support: IE <=8 - 11, Edge 12 - 13 - // IE throws exception on accessing the href property if url is malformed, - // e.g. http://example.com:80x/ - try { - urlAnchor.href = s.url; - - // Support: IE <=8 - 11 only - // Anchor's host property isn't correctly set when s.url is relative - urlAnchor.href = urlAnchor.href; - s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== - urlAnchor.protocol + "//" + urlAnchor.host; - } catch ( e ) { - - // If there is an error parsing the URL, assume it is crossDomain, - // it can be rejected by the transport if it is invalid - s.crossDomain = true; - } - } - - // Convert data if not already a string - if ( s.data && s.processData && typeof s.data !== "string" ) { - s.data = jQuery.param( s.data, s.traditional ); - } - - // Apply prefilters - inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); - - // If request was aborted inside a prefilter, stop there - if ( completed ) { - return jqXHR; - } - - // We can fire global events as of now if asked to - // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) - fireGlobals = jQuery.event && s.global; - - // Watch for a new set of requests - if ( fireGlobals && jQuery.active++ === 0 ) { - jQuery.event.trigger( "ajaxStart" ); - } - - // Uppercase the type - s.type = s.type.toUpperCase(); - - // Determine if request has content - s.hasContent = !rnoContent.test( s.type ); - - // Save the URL in case we're toying with the If-Modified-Since - // and/or If-None-Match header later on - // Remove hash to simplify url manipulation - cacheURL = s.url.replace( rhash, "" ); - - // More options handling for requests with no content - if ( !s.hasContent ) { - - // Remember the hash so we can put it back - uncached = s.url.slice( cacheURL.length ); - - // If data is available, append data to url - if ( s.data ) { - cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; - - // #9682: remove data so that it's not used in an eventual retry - delete s.data; - } - - // Add or update anti-cache param if needed - if ( s.cache === false ) { - cacheURL = cacheURL.replace( rantiCache, "$1" ); - uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce++ ) + uncached; - } - - // Put hash and anti-cache on the URL that will be requested (gh-1732) - s.url = cacheURL + uncached; - - // Change '%20' to '+' if this is encoded form body content (gh-2658) - } else if ( s.data && s.processData && - ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { - s.data = s.data.replace( r20, "+" ); - } - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - if ( jQuery.lastModified[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); - } - if ( jQuery.etag[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); - } - } - - // Set the correct header, if data is being sent - if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { - jqXHR.setRequestHeader( "Content-Type", s.contentType ); - } - - // Set the Accepts header for the server, depending on the dataType - jqXHR.setRequestHeader( - "Accept", - s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? - s.accepts[ s.dataTypes[ 0 ] ] + - ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : - s.accepts[ "*" ] - ); - - // Check for headers option - for ( i in s.headers ) { - jqXHR.setRequestHeader( i, s.headers[ i ] ); - } - - // Allow custom headers/mimetypes and early abort - if ( s.beforeSend && - ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { - - // Abort if not done already and return - return jqXHR.abort(); - } - - // Aborting is no longer a cancellation - strAbort = "abort"; - - // Install callbacks on deferreds - completeDeferred.add( s.complete ); - jqXHR.done( s.success ); - jqXHR.fail( s.error ); - - // Get transport - transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); - - // If no transport, we auto-abort - if ( !transport ) { - done( -1, "No Transport" ); - } else { - jqXHR.readyState = 1; - - // Send global event - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); - } - - // If request was aborted inside ajaxSend, stop there - if ( completed ) { - return jqXHR; - } - - // Timeout - if ( s.async && s.timeout > 0 ) { - timeoutTimer = window.setTimeout( function() { - jqXHR.abort( "timeout" ); - }, s.timeout ); - } - - try { - completed = false; - transport.send( requestHeaders, done ); - } catch ( e ) { - - // Rethrow post-completion exceptions - if ( completed ) { - throw e; - } - - // Propagate others as results - done( -1, e ); - } - } - - // Callback for when everything is done - function done( status, nativeStatusText, responses, headers ) { - var isSuccess, success, error, response, modified, - statusText = nativeStatusText; - - // Ignore repeat invocations - if ( completed ) { - return; - } - - completed = true; - - // Clear timeout if it exists - if ( timeoutTimer ) { - window.clearTimeout( timeoutTimer ); - } - - // Dereference transport for early garbage collection - // (no matter how long the jqXHR object will be used) - transport = undefined; - - // Cache response headers - responseHeadersString = headers || ""; - - // Set readyState - jqXHR.readyState = status > 0 ? 4 : 0; - - // Determine if successful - isSuccess = status >= 200 && status < 300 || status === 304; - - // Get response data - if ( responses ) { - response = ajaxHandleResponses( s, jqXHR, responses ); - } - - // Convert no matter what (that way responseXXX fields are always set) - response = ajaxConvert( s, response, jqXHR, isSuccess ); - - // If successful, handle type chaining - if ( isSuccess ) { - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - modified = jqXHR.getResponseHeader( "Last-Modified" ); - if ( modified ) { - jQuery.lastModified[ cacheURL ] = modified; - } - modified = jqXHR.getResponseHeader( "etag" ); - if ( modified ) { - jQuery.etag[ cacheURL ] = modified; - } - } - - // if no content - if ( status === 204 || s.type === "HEAD" ) { - statusText = "nocontent"; - - // if not modified - } else if ( status === 304 ) { - statusText = "notmodified"; - - // If we have data, let's convert it - } else { - statusText = response.state; - success = response.data; - error = response.error; - isSuccess = !error; - } - } else { - - // Extract error from statusText and normalize for non-aborts - error = statusText; - if ( status || !statusText ) { - statusText = "error"; - if ( status < 0 ) { - status = 0; - } - } - } - - // Set data for the fake xhr object - jqXHR.status = status; - jqXHR.statusText = ( nativeStatusText || statusText ) + ""; - - // Success/Error - if ( isSuccess ) { - deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); - } else { - deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); - } - - // Status-dependent callbacks - jqXHR.statusCode( statusCode ); - statusCode = undefined; - - if ( fireGlobals ) { - globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", - [ jqXHR, s, isSuccess ? success : error ] ); - } - - // Complete - completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); - - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); - - // Handle the global AJAX counter - if ( !( --jQuery.active ) ) { - jQuery.event.trigger( "ajaxStop" ); - } - } - } - - return jqXHR; - }, - - getJSON: function( url, data, callback ) { - return jQuery.get( url, data, callback, "json" ); - }, - - getScript: function( url, callback ) { - return jQuery.get( url, undefined, callback, "script" ); - } -} ); - -jQuery.each( [ "get", "post" ], function( i, method ) { - jQuery[ method ] = function( url, data, callback, type ) { - - // Shift arguments if data argument was omitted - if ( jQuery.isFunction( data ) ) { - type = type || callback; - callback = data; - data = undefined; - } - - // The url can be an options object (which then must have .url) - return jQuery.ajax( jQuery.extend( { - url: url, - type: method, - dataType: type, - data: data, - success: callback - }, jQuery.isPlainObject( url ) && url ) ); - }; -} ); - - -jQuery._evalUrl = function( url ) { - return jQuery.ajax( { - url: url, - - // Make this explicit, since user can override this through ajaxSetup (#11264) - type: "GET", - dataType: "script", - cache: true, - async: false, - global: false, - "throws": true - } ); -}; - - -jQuery.fn.extend( { - wrapAll: function( html ) { - var wrap; - - if ( this[ 0 ] ) { - if ( jQuery.isFunction( html ) ) { - html = html.call( this[ 0 ] ); - } - - // The elements to wrap the target around - wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); - - if ( this[ 0 ].parentNode ) { - wrap.insertBefore( this[ 0 ] ); - } - - wrap.map( function() { - var elem = this; - - while ( elem.firstElementChild ) { - elem = elem.firstElementChild; - } - - return elem; - } ).append( this ); - } - - return this; - }, - - wrapInner: function( html ) { - if ( jQuery.isFunction( html ) ) { - return this.each( function( i ) { - jQuery( this ).wrapInner( html.call( this, i ) ); - } ); - } - - return this.each( function() { - var self = jQuery( this ), - contents = self.contents(); - - if ( contents.length ) { - contents.wrapAll( html ); - - } else { - self.append( html ); - } - } ); - }, - - wrap: function( html ) { - var isFunction = jQuery.isFunction( html ); - - return this.each( function( i ) { - jQuery( this ).wrapAll( isFunction ? html.call( this, i ) : html ); - } ); - }, - - unwrap: function( selector ) { - this.parent( selector ).not( "body" ).each( function() { - jQuery( this ).replaceWith( this.childNodes ); - } ); - return this; - } -} ); - - -jQuery.expr.pseudos.hidden = function( elem ) { - return !jQuery.expr.pseudos.visible( elem ); -}; -jQuery.expr.pseudos.visible = function( elem ) { - return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length ); -}; - - - - -jQuery.ajaxSettings.xhr = function() { - try { - return new window.XMLHttpRequest(); - } catch ( e ) {} -}; - -var xhrSuccessStatus = { - - // File protocol always yields status code 0, assume 200 - 0: 200, - - // Support: IE <=9 only - // #1450: sometimes IE returns 1223 when it should be 204 - 1223: 204 - }, - xhrSupported = jQuery.ajaxSettings.xhr(); - -support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); -support.ajax = xhrSupported = !!xhrSupported; - -jQuery.ajaxTransport( function( options ) { - var callback, errorCallback; - - // Cross domain only allowed if supported through XMLHttpRequest - if ( support.cors || xhrSupported && !options.crossDomain ) { - return { - send: function( headers, complete ) { - var i, - xhr = options.xhr(); - - xhr.open( - options.type, - options.url, - options.async, - options.username, - options.password - ); - - // Apply custom fields if provided - if ( options.xhrFields ) { - for ( i in options.xhrFields ) { - xhr[ i ] = options.xhrFields[ i ]; - } - } - - // Override mime type if needed - if ( options.mimeType && xhr.overrideMimeType ) { - xhr.overrideMimeType( options.mimeType ); - } - - // X-Requested-With header - // For cross-domain requests, seeing as conditions for a preflight are - // akin to a jigsaw puzzle, we simply never set it to be sure. - // (it can always be set on a per-request basis or even using ajaxSetup) - // For same-domain requests, won't change header if already provided. - if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) { - headers[ "X-Requested-With" ] = "XMLHttpRequest"; - } - - // Set headers - for ( i in headers ) { - xhr.setRequestHeader( i, headers[ i ] ); - } - - // Callback - callback = function( type ) { - return function() { - if ( callback ) { - callback = errorCallback = xhr.onload = - xhr.onerror = xhr.onabort = xhr.onreadystatechange = null; - - if ( type === "abort" ) { - xhr.abort(); - } else if ( type === "error" ) { - - // Support: IE <=9 only - // On a manual native abort, IE9 throws - // errors on any property access that is not readyState - if ( typeof xhr.status !== "number" ) { - complete( 0, "error" ); - } else { - complete( - - // File: protocol always yields status 0; see #8605, #14207 - xhr.status, - xhr.statusText - ); - } - } else { - complete( - xhrSuccessStatus[ xhr.status ] || xhr.status, - xhr.statusText, - - // Support: IE <=9 only - // IE9 has no XHR2 but throws on binary (trac-11426) - // For XHR2 non-text, let the caller handle it (gh-2498) - ( xhr.responseType || "text" ) !== "text" || - typeof xhr.responseText !== "string" ? - { binary: xhr.response } : - { text: xhr.responseText }, - xhr.getAllResponseHeaders() - ); - } - } - }; - }; - - // Listen to events - xhr.onload = callback(); - errorCallback = xhr.onerror = callback( "error" ); - - // Support: IE 9 only - // Use onreadystatechange to replace onabort - // to handle uncaught aborts - if ( xhr.onabort !== undefined ) { - xhr.onabort = errorCallback; - } else { - xhr.onreadystatechange = function() { - - // Check readyState before timeout as it changes - if ( xhr.readyState === 4 ) { - - // Allow onerror to be called first, - // but that will not handle a native abort - // Also, save errorCallback to a variable - // as xhr.onerror cannot be accessed - window.setTimeout( function() { - if ( callback ) { - errorCallback(); - } - } ); - } - }; - } - - // Create the abort callback - callback = callback( "abort" ); - - try { - - // Do send the request (this may raise an exception) - xhr.send( options.hasContent && options.data || null ); - } catch ( e ) { - - // #14683: Only rethrow if this hasn't been notified as an error yet - if ( callback ) { - throw e; - } - } - }, - - abort: function() { - if ( callback ) { - callback(); - } - } - }; - } -} ); - - - - -// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432) -jQuery.ajaxPrefilter( function( s ) { - if ( s.crossDomain ) { - s.contents.script = false; - } -} ); - -// Install script dataType -jQuery.ajaxSetup( { - accepts: { - script: "text/javascript, application/javascript, " + - "application/ecmascript, application/x-ecmascript" - }, - contents: { - script: /\b(?:java|ecma)script\b/ - }, - converters: { - "text script": function( text ) { - jQuery.globalEval( text ); - return text; - } - } -} ); - -// Handle cache's special case and crossDomain -jQuery.ajaxPrefilter( "script", function( s ) { - if ( s.cache === undefined ) { - s.cache = false; - } - if ( s.crossDomain ) { - s.type = "GET"; - } -} ); - -// Bind script tag hack transport -jQuery.ajaxTransport( "script", function( s ) { - - // This transport only deals with cross domain requests - if ( s.crossDomain ) { - var script, callback; - return { - send: function( _, complete ) { - script = jQuery( " - {% if notebook_status == "running" %} -
- -
- {% else %} -
- -
- {% endif %} -{% endblock %} diff --git a/python/paddlecloud/notebook/templates/user_certs.html b/python/paddlecloud/notebook/templates/user_certs.html deleted file mode 100644 index 594d4f4f..00000000 --- a/python/paddlecloud/notebook/templates/user_certs.html +++ /dev/null @@ -1,31 +0,0 @@ -{% extends "account/base.html" %} - -{% load i18n %} -{% load bootstrap %} - -{% block body_class %}account account-certs{% endblock %} - -{% block head_title %}{% trans "Account" %}{% endblock %} - -{% block body %} -
-
-

{% trans "X509 Certificates" %}

-
- - {% for user_key in user_keys %} - - - - {% endfor %} -
- {{ user_key }} -
- {% if key_exist %} - {% blocktrans %}Download{% endblocktrans %} - {% else %} - {% blocktrans %}Generate{% endblocktrans %} - {% endif %} -
-
-{% endblock %} diff --git a/python/paddlecloud/notebook/tests.py b/python/paddlecloud/notebook/tests.py deleted file mode 100644 index 5982e6bc..00000000 --- a/python/paddlecloud/notebook/tests.py +++ /dev/null @@ -1,6 +0,0 @@ -# -*- coding: utf-8 -*- -from __future__ import unicode_literals - -from django.test import TestCase - -# Create your tests here. diff --git a/python/paddlecloud/notebook/tls.py b/python/paddlecloud/notebook/tls.py deleted file mode 100644 index 35b8e08c..00000000 --- a/python/paddlecloud/notebook/tls.py +++ /dev/null @@ -1,68 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import subprocess -import os -from django.conf import settings - - -def __check_cert_requirements__(program): - def is_exe(fpath): - return os.path.isfile(fpath) and os.access(fpath, os.X_OK) - - fpath, fname = os.path.split(program) - if fpath: - if is_exe(program): - return program - else: - for path in os.environ["PATH"].split(os.pathsep): - path = path.strip('"') - exe_file = os.path.join(path, program) - if is_exe(exe_file): - return exe_file - - return None - - -def create_user_cert(ca_path, username): - """ - @ca_path directory that contains ca.pem and ca-key.pem - """ - if not username: - raise AttributeError("username must be specified!") - if not __check_cert_requirements__("openssl"): - raise AssertionError("create user key depends on openssl command!") - user_cert_cmds = [] - user_cert_dir = os.path.join(settings.USER_CERTS_PATH, username) - user_cert_cmds.append("mkdir -p %s" % user_cert_dir) - user_cert_cmds.append("openssl genrsa -out \ - %s/%s-key.pem 2048" % (user_cert_dir, username)) - user_cert_cmds.append("openssl req -new -key %s/%s-key.pem -out\ - %s/%s.csr -subj \"/CN=%s\"" - %\ - (user_cert_dir, username, - user_cert_dir, username, username)) - user_cert_cmds.append("openssl x509 -req -in %s/%s.csr -CA %s -CAkey %s \ - -CAcreateserial -out %s/%s.pem -days 365" - % \ - (user_cert_dir, username, - settings.CA_PATH, settings.CA_KEY_PATH, - user_cert_dir, username)) - for cmd in user_cert_cmds: - process = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE) - process.wait() - out, err = process.communicate() - if process.returncode != 0: - raise RuntimeError("%s error with: (%d) - %s" % - (cmd, process.returncode, err)) diff --git a/python/paddlecloud/notebook/utils.py b/python/paddlecloud/notebook/utils.py deleted file mode 100644 index 8a4ca0e0..00000000 --- a/python/paddlecloud/notebook/utils.py +++ /dev/null @@ -1,315 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from django.conf import settings -import os -import kubernetes -import hashlib -import copy -import logging - - -def email_escape(email): - """ - Escape email to a safe string of kubernetes namespace - """ - safe_email = email.replace("@", "-") - safe_email = safe_email.replace(".", "-") - safe_email = safe_email.replace("_", "-") - return safe_email - - -def get_user_api_client(username): - """ - Update kubernetes client to use current logined user's crednetials - """ - - conf_obj = kubernetes.client.Configuration() - conf_obj.host = settings.K8S_HOST - conf_obj.ssl_ca_cert = os.path.join(settings.CA_PATH) - conf_obj.cert_file = os.path.join(settings.USER_CERTS_PATH, username, - "%s.pem" % username) - conf_obj.key_file = os.path.join(settings.USER_CERTS_PATH, username, - "%s-key.pem" % username) - api_client = kubernetes.client.ApiClient(config=conf_obj) - return api_client - - -def get_admin_api_client(): - """ - Update kubernetes client to use admin user to create namespace and authorizations - """ - - conf_obj = kubernetes.client.Configuration() - conf_obj.host = settings.K8S_HOST - conf_obj.ssl_ca_cert = os.path.join(settings.CA_PATH) - conf_obj.cert_file = os.path.join(settings.USER_CERTS_PATH, "admin.pem") - conf_obj.key_file = os.path.join(settings.USER_CERTS_PATH, "admin-key.pem") - api_client = kubernetes.client.ApiClient(config=conf_obj) - return api_client - - -def user_certs_exist(username): - """ - Return True if the user's certs already generated. User's keys are of pairs. - """ - has_cert = os.path.isfile( - os.path.join(settings.USER_CERTS_PATH, username, "%s.pem" % username)) - has_key = os.path.isfile( - os.path.join(settings.USER_CERTS_PATH, username, "%s-key.pem" % - username)) - if has_cert and has_key: - return True - else: - return False - - -# a class for creating jupyter notebook resources -class UserNotebook(): - dep_body = { - "apiVersion": "extensions/v1beta1", - "kind": "Deployment", - "metadata": { - "name": "cloud-notebook-deployment" - }, - "spec": { - "replicas": 1, - "template": { - "metadata": { - "labels": { - "app": "cloud-notebook" - } - }, - "spec": { - "containers": [{ - "name": "cloud-notebook", - "image": settings.PADDLE_BOOK_IMAGE, - "command": [ - "sh", "-c", - "mkdir -p /root/.jupyter; echo \"c.NotebookApp.base_url = '/notebook/%s'\" > /root/.jupyter/jupyter_notebook_config.py; echo \"c.NotebookApp.allow_origin = '*'\" >> /root/.jupyter/jupyter_notebook_config.py; jupyter notebook --ip=0.0.0.0 --no-browser --allow-root --NotebookApp.token='' --NotebookApp.disable_check_xsrf=True /book/" - ], - "ports": [{ - "containerPort": settings.PADDLE_BOOK_PORT - }], - "resources": { - "requests": { - "memory": "4Gi", - "cpu": "1", - }, - "limits": { - "memory": "4Gi", - "cpu": "1", - } - }, - "env": [ - { - "name": "USER_NAMESPACE", - "valueFrom": { - "fieldRef": { - "fieldPath": "metadata.namespace" - } - } - }, - { - "name": "USER_POD_NAME", - "valueFrom": { - "fieldRef": { - "fieldPath": "metadata.name" - } - } - }, - { - "name": "USER_POD_IP", - "valueFrom": { - "fieldRef": { - "fieldPath": "status.podIP" - } - } - }, - { - "name": "USER_POD_SERVICE_ACCOUNT", - "valueFrom": { - "fieldRef": { - "fieldPath": "spec.serviceAccountName" - } - } - }, - ] - }] - } - } - } - } - service_body = { - "apiVersion": "v1", - "kind": "Service", - "metadata": { - "name": "cloud-notebook-service" - }, - "spec": { - "selector": { - "app": "cloud-notebook" - }, - "ports": [{ - "protocol": "TCP", - "port": 8888, - "targetPort": 8888 - }] - } - } - ing_body = { - "apiVersion": "extensions/v1beta1", - "kind": "Ingress", - "metadata": { - "name": "cloud-notebook-ingress" - }, - "spec": { - "rules": [{ - "host": d, - "http": { - "paths": [{ - "path": "/", - "backend": { - "serviceName": "cloud-notebook-service", - "servicePort": 8888 - } - }, ] - } - } for d in settings.NOTEBOOK_DOMAINS] - } - } - - def get_notebook_id(self, username): - # notebook id is md5(username) - m = hashlib.md5() - m.update(username) - - return m.hexdigest()[:8] - - def __wait_api_response(self, resp): - print resp.status - - def __find_item(self, resource_list, match_name): - item_found = False - for item in resource_list.items: - if item.metadata.name == match_name: - item_found = True - return item_found - - def __create_deployment(self, username, namespace): - v1beta1api = kubernetes.client.ExtensionsV1beta1Api( - api_client=get_user_api_client(username)) - dep_list = v1beta1api.list_namespaced_deployment(namespace) - if not self.__find_item(dep_list, "cloud-notebook-deployment"): - dep_body = copy.deepcopy(self.dep_body) - logging.info("command: %s, userid: %s", self.dep_body["spec"][ - "template"]["spec"]["containers"][0]["command"][2], - self.get_notebook_id(username)) - dep_body["spec"]["template"]["spec"]["containers"][0]["command"][2] = \ - dep_body["spec"]["template"]["spec"]["containers"][0]["command"][2] % (self.get_notebook_id(username)) - resp = v1beta1api.create_namespaced_deployment( - namespace, body=dep_body, pretty=True) - self.__wait_api_response(resp) - - def __create_service(self, username, namespace): - v1api = kubernetes.client.CoreV1Api( - api_client=get_user_api_client(username)) - service_list = v1api.list_namespaced_service(namespace) - if not self.__find_item(service_list, "cloud-notebook-service"): - resp = v1api.create_namespaced_service( - namespace, body=self.service_body) - self.__wait_api_response(resp) - - def __create_ingress(self, username, namespace): - v1beta1api = kubernetes.client.ExtensionsV1beta1Api( - api_client=get_user_api_client(username)) - ing_list = v1beta1api.list_namespaced_ingress(namespace) - if not self.__find_item(ing_list, "cloud-notebook-ingress"): - # FIXME: must split this for different users - ing_body = copy.deepcopy(self.ing_body) - ing_body["spec"]["rules"][0]["http"]["paths"][0][ - "path"] = "/notebook/" + self.get_notebook_id(username) - resp = v1beta1api.create_namespaced_ingress( - namespace, body=ing_body) - self.__wait_api_response(resp) - - def start_all(self, username, namespace): - """ - start deployment, service, ingress to start a notebook service for current user - """ - self.__create_deployment(username, namespace) - self.__create_service(username, namespace) - self.__create_ingress(username, namespace) - - def stop_all(self, username, namespace): - v1beta1api = kubernetes.client.ExtensionsV1beta1Api( - api_client=get_user_api_client(username)) - v1api = kubernetes.client.CoreV1Api( - api_client=get_user_api_client(username)) - v1beta1api.delete_namespaced_deployment("cloud-notebook-deployment", - namespace) - v1beta1api.delete_namespaced_ingress("cloud-notebook-ingress", - namespace) - v1api.delete_namespaced_service("cloud-notebook-service", namespace) - - def status(self, username, namespace): - """ - check notebook deployment status - @return: running starting stopped - """ - v1api = kubernetes.client.CoreV1Api( - api_client=get_user_api_client(username)) - v1beta1api = kubernetes.client.ExtensionsV1beta1Api( - api_client=get_user_api_client(username)) - d, s, i = (True, True, True) - # -------------------- deployment status -------------------- - dep_list = v1beta1api.list_namespaced_deployment(namespace) - if not self.__find_item(dep_list, "cloud-notebook-deployment"): - d = False - else: - # notebook must have at least one replica running - for i in dep_list.items: - if i.status.ready_replicas < 1: - d = False - # -------------------- service status -------------------- - service_list = v1api.list_namespaced_service(namespace) - if not self.__find_item(service_list, "cloud-notebook-service"): - s = False - else: - # service is ready when the endpoints to pods has been found - endpoints_list = v1api.list_namespaced_endpoints(namespace) - if not self.__find_item(endpoints_list, "cloud-notebook-service"): - s = False - # -------------------- ingress status -------------------- - ing_list = v1beta1api.list_namespaced_ingress(namespace) - if not self.__find_item(ing_list, "cloud-notebook-ingress"): - i = False - else: - i = False - try: - # ingress is ready when the remote ip is assigned - for i in ing_list.items: - if i: - for ing in i.status.load_balancer.ingress: - if not ing.ip: - i = False - except: - pass - - if d and s and i: - return "running" - elif d or s or i: - return "starting" - else: - return "stopped" diff --git a/python/paddlecloud/notebook/views.py b/python/paddlecloud/notebook/views.py deleted file mode 100644 index d50a6f1e..00000000 --- a/python/paddlecloud/notebook/views.py +++ /dev/null @@ -1,298 +0,0 @@ -# -*- coding: utf-8 -*- -from __future__ import unicode_literals - -from django.shortcuts import render -from django.dispatch import receiver -from django.http import HttpResponseRedirect, HttpResponse, JsonResponse -from django.db.models.signals import post_save -from django.contrib.auth.models import User -from django.contrib.auth.decorators import login_required -from django.contrib import messages -from django.conf import settings -# local imports -from notebook.models import PaddleUser -import notebook.forms -import account.views -import tls -import utils -# libraries -import os -import json -import logging -import hashlib -import kubernetes -import zipfile -import cStringIO as StringIO -import base64 -from wsgiref.util import FileWrapper -from rest_framework.authtoken.models import Token -from rest_framework import viewsets, generics, permissions -from rest_framework.response import Response -from rest_framework.views import APIView - - -def healthz(request): - return HttpResponse("OK") - - -class SampleView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def get(self, request, format=None): - content = { - 'user': - unicode(request.user), # `django.contrib.auth.User` instance. - 'auth': unicode(request.auth), # None - 'result': "sample api result", - } - return Response(content) - - -@receiver(post_save, sender=settings.AUTH_USER_MODEL) -def create_auth_token(sender, instance=None, created=False, **kwargs): - if created: - Token.objects.create(user=instance) - - -@receiver(post_save, sender=User) -def handle_user_save(sender, instance, created, **kwargs): - if created: - PaddleUser.objects.create(user=instance) - - -class LoginView(account.views.LoginView): - - form_class = account.forms.LoginEmailForm - - -class SignupView(account.views.SignupView): - form_class = notebook.forms.SignupForm - identifier_field = "email" - - def after_signup(self, form): - self.update_profile(form) - logging.info("creating default user certs...") - tls.create_user_cert(settings.CA_PATH, form.cleaned_data["email"]) - # HACK: username is the same as user email - # create user's default RBAC permissions - logging.info("creating default user namespace and RBAC...") - create_user_namespace(form.cleaned_data["email"]) - create_user_RBAC_permissions(form.cleaned_data["email"]) - # create user's cephfs storage dir - try: - os.mkdir( - os.path.join(settings.STORAGE_PATH, form.cleaned_data[ - "email"])) - except Exception, e: - # FIXME: all exception is ignored - logging.error("create user's storage path error: %s", e) - - super(SignupView, self).after_signup(form) - - def update_profile(self, form): - profile = self.created_user.paddleuser # replace with your reverse one-to-one profile attribute - data = form.cleaned_data - profile.school = data["school"] - profile.studentID = data["studentID"] - profile.major = data["major"] - profile.save() - - def generate_username(self, form): - # do something to generate a unique username (required by the - # Django User model, unfortunately) - username = form.cleaned_data["email"] - return username - - -class SettingsView(account.views.SettingsView): - form_class = notebook.forms.SettingsForm - - -@login_required -def user_certs_view(request): - key_exist = utils.user_certs_exist(request.user.username) - user_keys = [ - "%s.pem" % request.user.username, "%s-key.pem" % request.user.username - ] - - return render( - request, - "user_certs.html", - context={"key_exist": key_exist, - "user_keys": user_keys}) - - -@login_required -def user_certs_download(request): - certs_file = StringIO.StringIO() - with zipfile.ZipFile( - certs_file, mode='w', compression=zipfile.ZIP_DEFLATED) as zf: - with open( - os.path.join(settings.USER_CERTS_PATH, request.user.username, - "%s.pem" % request.user.username), "r") as c: - zf.writestr('%s.pem' % request.user.username, c.read()) - with open( - os.path.join(settings.USER_CERTS_PATH, request.user.username, - "%s-key.pem" % request.user.username), "r") as s: - zf.writestr('%s-key.pem' % request.user.username, s.read()) - - response = HttpResponse( - certs_file.getvalue(), content_type='application/zip') - response[ - 'Content-Disposition'] = 'attachment; filename=%s.zip' % request.user.username - response['Content-Length'] = certs_file.tell() - return response - - -@login_required -def user_certs_generate(request): - logging.info("creating default user certs...") - try: - tls.create_user_cert(settings.CA_PATH, request.user.email) - messages.success(request, "X509 certificate generated and updated.") - except Exception, e: - messages.error(request, str(e)) - logging.error(str(e)) - return HttpResponseRedirect(request.META.get('HTTP_REFERER')) - - -def create_user_RBAC_permissions(username): - namespace = utils.email_escape(username) - rbacapi = kubernetes.client.RbacAuthorizationV1beta1Api( - utils.get_admin_api_client()) - body = { - "apiVersion": "rbac.authorization.k8s.io/v1beta1", - "kind": "RoleBinding", - "metadata": { - "name": "%s-admin-binding" % namespace, - "namespace": namespace - }, - "roleRef": { - "apiGroup": "rbac.authorization.k8s.io", - "kind": "ClusterRole", - "name": "admin" - }, - "subjects": [{ - "apiGroup": "rbac.authorization.k8s.io", - "kind": "User", - "name": username - }] - } - try: - rbacapi.create_namespaced_role_binding(namespace, body) - except Exception, e: - logging.error("%s", str(e)) - # create service account permissions - body = { - "apiVersion": "rbac.authorization.k8s.io/v1beta1", - "kind": "RoleBinding", - "metadata": { - "name": "%s-sa-view" % namespace, - "namespace": namespace - }, - "roleRef": { - "apiGroup": "rbac.authorization.k8s.io", - "kind": "ClusterRole", - "name": "view" - }, - "subjects": [{ - "kind": "ServiceAccount", - "name": "default", - "namespace": namespace - }] - } - try: - rbacapi.create_namespaced_role_binding(namespace, body) - except Exception, e: - logging.error("%s", str(e)) - - -def create_user_namespace(username): - v1api = kubernetes.client.CoreV1Api(utils.get_admin_api_client()) - namespaces = v1api.list_namespace() - user_namespace_found = False - user_namespace = utils.email_escape(username) - for ns in namespaces.items: - # must commit to user's namespace - if ns.metadata.name == user_namespace: - user_namespace_found = True - # Create user's namespace if it does not exist - if not user_namespace_found: - v1api.create_namespace({ - "apiVersion": "v1", - "kind": "Namespace", - "metadata": { - "name": user_namespace - } - }) - for dc, cfg in settings.DATACENTERS.items(): - #create DataCenter sercret if not exists - secrets = v1api.list_namespaced_secret(user_namespace) - secret_names = [item.metadata.name for item in secrets.items] - - # create Kubernetes Secret for ceph admin key - if cfg["fstype"] == "cephfs" and cfg["secret"] not in secret_names: - with open(cfg["admin_key"], "r") as f: - key = f.read() - encoded = base64.b64encode(key) - v1api.create_namespaced_secret(user_namespace, { - "apiVersion": "v1", - "kind": "Secret", - "metadata": { - "name": cfg["secret"] - }, - "data": { - "key": encoded - } - }) - # create docker registry secret - registry_secret = settings.JOB_DOCKER_IMAGE.get("registry_secret", None) - if registry_secret and registry_secret not in secret_names: - docker_config = settings.JOB_DOCKER_IMAGE["docker_config"] - encode = base64.b64encode(json.dumps(docker_config)) - v1api.create_namespaced_secret(user_namespace, { - "apiVersion": "v1", - "kind": "Secret", - "metadata": { - "name": registry_secret - }, - "data": { - ".dockerconfigjson": encode - }, - "type": "kubernetes.io/dockerconfigjson" - }) - return user_namespace - - -@login_required -def notebook_view(request): - """ - call kubernetes client to create a Deployment of jupyter notebook, - mount user's default volume in the pod, then jump to the notebook webpage. - """ - # NOTICE: username is the same to user's email - # NOTICE: escape the username to safe string to create namespaces - username = request.user.username - - # FIXME: notebook must be started under username's namespace - user_namespace = create_user_namespace(username) - - ub = utils.UserNotebook() - ub.start_all(username, user_namespace) - - return render( - request, - "notebook.html", - context={ - "notebook_id": ub.get_notebook_id(username), - "notebook_status": ub.status(username, user_namespace) - }) - - -@login_required -def stop_notebook_backend(request): - username = request.user.username - utils.update_user_k8s_config(username) - ub = utils.UserNotebook() - ub.stop_all(username, user_namespace) - return HttpResponseRedirect("/") diff --git a/python/paddlecloud/package.json b/python/paddlecloud/package.json deleted file mode 100644 index 3b17b2f5..00000000 --- a/python/paddlecloud/package.json +++ /dev/null @@ -1,55 +0,0 @@ -{ - "repository": { - "type": "git", - "url": "https://github.com/pinax/pinax-project" - }, - "scripts": { - "clean": "rm -rf static/dist && mkdir -p static/dist/js && mkdir -p static/dist/css && mkdir -p static/dist/fonts && mkdir -p static/dist/images", - "watch:babel": "babel static/src/js --out-dir static/dist/js --quiet --watch", - "build:babel": "babel static/src/js --out-dir static/dist/js --quiet", - "build:js": "browserify -t [ babelify --presets [ es2015 stage-1 ] ] -t envify static/src/js/index.js | uglifyjs -c warnings=false -o static/dist/js/site.js", - "build:css": "lessc --include-path=node_modules/font-awesome/less:node_modules/bootstrap/less static/src/less/site.less static/dist/css/site.css", - "copy:fonts": "cp node_modules/bootstrap/fonts/* static/dist/fonts/ && cp node_modules/font-awesome/fonts/* static/dist/fonts/", - "copy:images": "cp -r static/src/images/* static/dist/images/ 2>/dev/null || :", - "optimize:js": "uglifyjs static/dist/js/site.js -m -c warnings=false -o static/dist/js/site.js", - "optimize:css": "cssnano static/dist/css/site.css static/dist/css/site.css", - "optimize": "npm run optimize:js && npm run optimize:css", - "watch:test": "onchange static/src/js/**/*.js -- npm run test", - "watch:lint": "onchange static/src/js/**/*.js -- npm run lint", - "watch:js": "watchify -t [ babelify --presets [ es2015 stage-1 ] ] -t envify static/src/js/index.js -o 'exorcist static/dist/js/site.js.map > static/dist/js/site.js' -dv", - "watch:css": "onchange static/src/less/**/*.less -- npm run build:css", - "build": "npm run clean && concurrently \"npm run build:babel\" \"npm run build:js\" \"npm run build:css\" \"npm run copy:fonts\" \"npm run copy:images\" && npm run optimize", - "watch": "npm run clean && npm run copy:fonts && npm run copy:images && npm run build:css && concurrently --raw \"npm run watch:lint\" \"npm run watch:babel\" \"npm run watch:js\" \"npm run watch:css\"", - "dev:browser-sync": "browser-sync start --no-open --proxy localhost:8000 --files \"static/dist/js/*.js, static/dist/css/*.css\"", - "dev": "concurrently --raw \"./manage.py runserver\" \"npm run watch\" \"npm run dev:browser-sync\"", - "lint": "eslint static/src/**/**/*.js", - "test": "mocha --recursive --compilers js:babel-register static/src/tests/index.js" - }, - "license": "UNLICENSED", - "dependencies": { - "bootstrap": "3.3.7", - "font-awesome": "4.7.0", - "jquery": "3.2.0", - "babel-cli": "6.24.1", - "babel-preset-es2015": "6.24.1", - "babel-preset-stage-1": "6.24.1", - "babelify": "7.3.0", - "browser-sync": "2.18.8", - "browserify": "14.3.0", - "chai": "3.5.0", - "concurrently": "3.4.0", - "cssnano": "3.10.0", - "cssnano-cli": "1.0.5", - "envify": "4.0.0", - "eslint": "3.19.0", - "eslint-plugin-babel": "4.1.1", - "exorcist": "0.4.0", - "jsdom": "9.12.0", - "jsdom-global": "2.1.1", - "less": "2.7.2", - "mocha": "3.2.0", - "onchange": "3.2.1", - "uglifyjs": "2.4.10", - "watchify": "3.9.0" - } -} diff --git a/python/paddlecloud/paddlecloud/__init__.py b/python/paddlecloud/paddlecloud/__init__.py deleted file mode 100644 index c5b63fb4..00000000 --- a/python/paddlecloud/paddlecloud/__init__.py +++ /dev/null @@ -1,10 +0,0 @@ -# -*- coding: utf-8 -*- - -__about__ = """ -In addition to what is provided by the "zero" project, this project -provides thorough integration with django-user-accounts, adding -comprehensive account management functionality. It is a foundation -suitable for most sites that have user accounts. -""" - -default_app_config = "paddlecloud.apps.AppConfig" diff --git a/python/paddlecloud/paddlecloud/apps.py b/python/paddlecloud/paddlecloud/apps.py deleted file mode 100644 index b8323a03..00000000 --- a/python/paddlecloud/paddlecloud/apps.py +++ /dev/null @@ -1,25 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from importlib import import_module - -from django.apps import AppConfig as BaseAppConfig - - -class AppConfig(BaseAppConfig): - - name = "paddlecloud" - - def ready(self): - import_module("paddlecloud.receivers") diff --git a/python/paddlecloud/paddlecloud/receivers.py b/python/paddlecloud/paddlecloud/receivers.py deleted file mode 100644 index bd3d8fb5..00000000 --- a/python/paddlecloud/paddlecloud/receivers.py +++ /dev/null @@ -1,57 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from django.dispatch import receiver - -from account.signals import password_changed -from account.signals import user_sign_up_attempt, user_signed_up -from account.signals import user_login_attempt, user_logged_in - -from pinax.eventlog.models import log - - -@receiver(user_logged_in) -def handle_user_logged_in(sender, **kwargs): - log(user=kwargs.get("user"), action="USER_LOGGED_IN", extra={}) - - -@receiver(password_changed) -def handle_password_changed(sender, **kwargs): - log(user=kwargs.get("user"), action="PASSWORD_CHANGED", extra={}) - - -@receiver(user_login_attempt) -def handle_user_login_attempt(sender, **kwargs): - log(user=None, - action="LOGIN_ATTEMPTED", - extra={ - "username": kwargs.get("username"), - "result": kwargs.get("result") - }) - - -@receiver(user_sign_up_attempt) -def handle_user_sign_up_attempt(sender, **kwargs): - log(user=None, - action="SIGNUP_ATTEMPTED", - extra={ - "username": kwargs.get("username"), - "email": kwargs.get("email"), - "result": kwargs.get("result") - }) - - -@receiver(user_signed_up) -def handle_user_signed_up(sender, **kwargs): - log(user=kwargs.get("user"), action="USER_SIGNED_UP", extra={}) diff --git a/python/paddlecloud/paddlecloud/settings.py b/python/paddlecloud/paddlecloud/settings.py deleted file mode 100644 index 0f6b8d43..00000000 --- a/python/paddlecloud/paddlecloud/settings.py +++ /dev/null @@ -1,342 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -from kubernetes import config - -PROJECT_ROOT = os.path.abspath( - os.path.join(os.path.dirname(__file__), os.pardir)) -PACKAGE_ROOT = os.path.abspath(os.path.dirname(__file__)) -BASE_DIR = PACKAGE_ROOT - -DEBUG = True - -DATABASES = { - "default": { - "ENGINE": "django.db.backends.mysql", - "NAME": "paddlecloud", - 'USER': 'root', - 'PASSWORD': 'root', - 'HOST': '127.0.0.1', # Or an IP Address that your DB is hosted on - 'PORT': '3306', - } -} - -ALLOWED_HOSTS = [ - "127.0.0.1", - "cloud.paddlepaddle.org", -] - -POD_IP = os.getenv("POD_IP") -if POD_IP: - ALLOWED_HOSTS.append(POD_IP) - -REST_FRAMEWORK = { - # Use Django's standard `django.contrib.auth` permissions, - # or allow read-only access for unauthenticated users. - 'DEFAULT_AUTHENTICATION_CLASSES': ( - 'rest_framework.authentication.BasicAuthentication', - 'rest_framework.authentication.SessionAuthentication', - 'rest_framework.authentication.TokenAuthentication', ), - 'DEFAULT_PERMISSION_CLASSES': - ['rest_framework.permissions.DjangoModelPermissionsOrAnonReadOnly'] -} - -# Local time zone for this installation. Choices can be found here: -# http://en.wikipedia.org/wiki/List_of_tz_zones_by_name -# although not all choices may be available on all operating systems. -# On Unix systems, a value of None will cause Django to use the same -# timezone as the operating system. -# If running in a Windows environment this must be set to the same as your -# system time zone. -TIME_ZONE = "UTC" - -# Language code for this installation. All choices can be found here: -# http://www.i18nguy.com/unicode/language-identifiers.html -LANGUAGE_CODE = "en-us" - -SITE_ID = int(os.environ.get("SITE_ID", 1)) - -# If you set this to False, Django will make some optimizations so as not -# to load the internationalization machinery. -USE_I18N = True - -# If you set this to False, Django will not format dates, numbers and -# calendars according to the current locale. -USE_L10N = True - -# If you set this to False, Django will not use timezone-aware datetimes. -USE_TZ = True - -# Absolute filesystem path to the directory that will hold user-uploaded files. -# Example: "/home/media/media.lawrence.com/media/" -MEDIA_ROOT = os.path.join(PACKAGE_ROOT, "site_media", "media") - -# URL that handles the media served from MEDIA_ROOT. Make sure to use a -# trailing slash. -# Examples: "http://media.lawrence.com/media/", "http://example.com/media/" -MEDIA_URL = "/site_media/media/" - -# Absolute path to the directory static files should be collected to. -# Don"t put anything in this directory yourself; store your static files -# in apps" "static/" subdirectories and in STATICFILES_DIRS. -# Example: "/home/media/media.lawrence.com/static/" -STATIC_ROOT = os.path.join(PACKAGE_ROOT, "site_media", "static") - -# URL prefix for static files. -# Example: "http://media.lawrence.com/static/" -STATIC_URL = "/site_media/static/" - -# Additional locations of static files -STATICFILES_DIRS = [os.path.join(PROJECT_ROOT, "static", "dist"), ] - -STATICFILES_STORAGE = "django.contrib.staticfiles.storage.ManifestStaticFilesStorage" - -# List of finder classes that know how to find static files in -# various locations. -STATICFILES_FINDERS = [ - "django.contrib.staticfiles.finders.FileSystemFinder", - "django.contrib.staticfiles.finders.AppDirectoriesFinder", -] - -# Make this unique, and don't share it with anybody. -SECRET_KEY = "vpu^(5mjr)*tloao^m$wlh)oc(fn1yoiqoq@m0$er((qlocq1k" - -TEMPLATES = [{ - "BACKEND": "django.template.backends.django.DjangoTemplates", - "DIRS": [os.path.join(PACKAGE_ROOT, "templates"), ], - "APP_DIRS": True, - "OPTIONS": { - "debug": DEBUG, - "context_processors": [ - "django.contrib.auth.context_processors.auth", - "django.template.context_processors.debug", - "django.template.context_processors.i18n", - "django.template.context_processors.media", - "django.template.context_processors.static", - "django.template.context_processors.tz", - "django.template.context_processors.request", - "django.contrib.messages.context_processors.messages", - "account.context_processors.account", - "pinax_theme_bootstrap.context_processors.theme", - ], - }, -}, ] - -MIDDLEWARE = [ - "django.contrib.sessions.middleware.SessionMiddleware", - "django.middleware.common.CommonMiddleware", - "django.middleware.csrf.CsrfViewMiddleware", - "django.contrib.auth.middleware.AuthenticationMiddleware", - "django.contrib.auth.middleware.SessionAuthenticationMiddleware", - "django.contrib.messages.middleware.MessageMiddleware", - "django.middleware.clickjacking.XFrameOptionsMiddleware", - "account.middleware.ExpiredPasswordMiddleware", -] - -ROOT_URLCONF = "paddlecloud.urls" - -# Python dotted path to the WSGI application used by Django's runserver. -WSGI_APPLICATION = "paddlecloud.wsgi.application" - -INSTALLED_APPS = [ - "django.contrib.admin", - "django.contrib.auth", - "django.contrib.contenttypes", - "django.contrib.messages", - "django.contrib.sessions", - "django.contrib.sites", - "django.contrib.staticfiles", - # token auth - "rest_framework", - "rest_framework.authtoken", - # paddlecloud apps - # NOTE: load before pinax_theme_bootstrap to customize the theme - "notebook", - - # theme - "bootstrapform", - "pinax_theme_bootstrap", - - # external - "account", - "pinax.eventlog", - "pinax.webanalytics", - - # project - "paddlecloud", -] - -# A sample logging configuration. The only tangible logging -# performed by this configuration is to send an email to -# the site admins on every HTTP 500 error when DEBUG=False. -# See http://docs.djangoproject.com/en/dev/topics/logging for -# more details on how to customize your logging configuration. -LOGGING = { - "version": 1, - "disable_existing_loggers": False, - "filters": { - "require_debug_false": { - "()": "django.utils.log.RequireDebugFalse" - } - }, - 'formatters': { - 'verbose': { - 'format': '[%(levelname)s %(asctime)s @ %(process)d] - %(message)s' - }, - 'simple': { - 'format': '%(levelname)s %(message)s' - }, - }, - "handlers": { - "mail_admins": { - "level": "ERROR", - "filters": ["require_debug_false"], - "class": "django.utils.log.AdminEmailHandler" - }, - "stdout": { - "level": "INFO", - "class": "logging.StreamHandler", - "formatter": "verbose" - }, - }, - "loggers": { - "": { - "handlers": ["stdout"], - "level": "ERROR", - "propagate": True, - }, - "django.request": { - "handlers": ["mail_admins"], - "level": "ERROR", - "propagate": True, - }, - } -} - -FIXTURE_DIRS = [os.path.join(PROJECT_ROOT, "fixtures"), ] - -EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend" - -LOGIN_URL = "/account/login" - -ACCOUNT_OPEN_SIGNUP = True -ACCOUNT_EMAIL_UNIQUE = True -ACCOUNT_EMAIL_CONFIRMATION_REQUIRED = False -ACCOUNT_LOGIN_REDIRECT_URL = "home" -ACCOUNT_LOGOUT_REDIRECT_URL = "home" -ACCOUNT_EMAIL_CONFIRMATION_EXPIRE_DAYS = 2 -ACCOUNT_USE_AUTH_AUTHENTICATE = True -ACCOUNT_USER_DISPLAY = lambda user: user.email - -ACCOUNT_PASSWORD_EXPIRY = 60 * 60 * 24 * 5 # seconds until pw expires, this example shows five days -ACCOUNT_PASSWORD_USE_HISTORY = True - -AUTHENTICATION_BACKENDS = [ - "account.auth_backends.UsernameAuthenticationBackend", -] - -# secret places to store ca and users keys -CA_PATH = "/certs/ca.pem" -CA_KEY_PATH = "/certs/ca-key.pem" -USER_CERTS_PATH = "/certs" - -K8S_HOST = "https://%s:%s" % (os.getenv("KUBERNETES_SERVICE_HOST"), - os.getenv("KUBERNETES_SERVICE_PORT_HTTPS")) -# PADDLE_BOOK_IMAGE="docker.paddlepaddle.org/book:0.10.0rc2" -PADDLE_BOOK_IMAGE = "yancey1989/book-cloud" -PADDLE_BOOK_PORT = 8888 - -# ============== Datacenter Storage Config Samples ============== -#if Paddle cloud use CephFS as backend storage, configure CEPHFS_CONFIGURATION -#the following is an example: - -#DATACENTERS = { -# "datacenter1":{ -# "fstype": "cephfs", -# "monitors_addr": "172.19.32.166:6789", -# "secret": "ceph-secret", -# "user": "admin", -# "mount_path": "/pfs/%s/home/%s/", # mount_path % ( dc, username ) -# "cephfs_path": "/%s" # cephfs_path % username -# "admin_key": "/certs/admin.secret" -# } -#} -#for HostPath example: -#DATACENTERS = { -# ... -# "dc1":{ -# "fstype": "hostpath", -# "host_path": "/mnt/hdfs/%s/", # host_path % username -# "mount_path" "/pfs/%s/home/%s/" # mount_path % ( dc, username ) -# } -#} -FSTYPE_CEPHFS = "cephfs" -FSTYPE_HOSTPATH = "hostpath" -DATACENTERS = { - "meiyan": { - "fstype": FSTYPE_CEPHFS, - "monitors_addr": ["172.19.32.166:6789"], # must be a list - "secret": "ceph-secret", - "user": "admin", - "mount_path": "/pfs/%s/home/%s/", # mount_path % ( dc, username ) - "cephfs_path": "/%s", # cephfs_path % username - "admin_key": "/certs/admin.secret", - }, - "public": { - "fstype": FSTYPE_CEPHFS, - "monitors_addr": ["172.19.32.166:6789"], # must be a list - "secret": "ceph-secret", - "user": "admin", - "mount_path": "/pfs/%s/public/", # mount_path % ( dc, username ) - "cephfs_path": "/public", # cephfs_path % username - "admin_key": "/certs/admin.secret", - "read_only": True - } -} -# where cephfs root is mounted when using cephfs storage service -STORAGE_PATH = "/pfs" -# HACK: define use HDFS or CEPHFS, in cephfs mode jobpath will be /pfs/jobs/[jobname] -STORAGE_MODE = "HDFS" - -# ===================== Docker image registry ===================== -JOB_DOCKER_IMAGE = { - # These images are built by `docker/build_docker.sh` under this repo. - "image": "typhoon1986/paddlecloud-job", - "image_gpu": "typhoon1986/paddlecloud-job:gpu", - # docker registry credentials - "registry_secret": - "job-registry-secret", # put this to None if not using registry login - "docker_config": { - "auths": { - "registry.baidu.com": { - "auth": "eWFueHUwNTpRTndVSGV1Rldl" - } - } - } -} - -# Path store all cuda, nvidia driver libs -NVIDIA_LIB_PATH = "/usr/local/nvidia/lib64" -# etcd image for fault-tolerant jobs -ETCD_IMAGE = "quay.io/coreos/etcd:v3.2.1" - -# domains that allow notebook to enter -NOTEBOOK_DOMAINS = ["cloud.paddlepaddle.org"] - -# GPU limit for users -# TODO(Yancey1989): -# 1. Implement -# 2. Move GPU quota to Kubernetes -GPU_QUOTA = {"DEFAULT": {"limit": 2}, "yanxu05@baidu.com": {"limit": 5}} diff --git a/python/paddlecloud/paddlecloud/templates/_account_bar.html b/python/paddlecloud/paddlecloud/templates/_account_bar.html deleted file mode 100644 index d896e3dd..00000000 --- a/python/paddlecloud/paddlecloud/templates/_account_bar.html +++ /dev/null @@ -1,26 +0,0 @@ -{% load i18n %} -{% load account_tags %} - - - - - diff --git a/python/paddlecloud/paddlecloud/templates/_footer.html b/python/paddlecloud/paddlecloud/templates/_footer.html deleted file mode 100644 index ac447a2e..00000000 --- a/python/paddlecloud/paddlecloud/templates/_footer.html +++ /dev/null @@ -1,4 +0,0 @@ -{% load i18n %} - -{% trans "© 2017 <paddlepaddle.org>" %} - Github: https://github.com/PaddlePaddle/Paddle diff --git a/python/paddlecloud/paddlecloud/templates/homepage.html b/python/paddlecloud/paddlecloud/templates/homepage.html deleted file mode 100644 index f8d82270..00000000 --- a/python/paddlecloud/paddlecloud/templates/homepage.html +++ /dev/null @@ -1,80 +0,0 @@ -{% extends "site_base.html" %} - -{% load i18n %} - -{% block head_title %}dashboard{% endblock %} - -{% block body_class %}home{% endblock %} - -{% block body_base %} -
-
- {% include "_messages.html" %} -

{% blocktrans %}Welcome to
PaddlePaddle Cloud{% endblocktrans %}

-

- {% blocktrans %} - Open and Easy-to-Use Deep Learning Cloud Platform for Enterprise and Research.
-

    -
  • Take advantage of the large scale cloud computing resource.
    • -
  • Free Nvidia GPU resources
    • -
  • Serverless Deep Learning training jobs.
    • -
- {% endblocktrans %} -

- {% if not user.is_authenticated %} - {% url "account_login" as login_url %} - {% url "account_signup" as signup_url %} -

{% blocktrans %}You can Log In or Sign Up to try out the site.{% endblocktrans %}

- {% endif %} -
-
-
-
-

{% blocktrans %}What is PaddlePaddle Cloud?{% endblocktrans %}

-

- {% blocktrans %} - PaddlePaddle Cloud is an open-source platform based on Django and - intended to provide a starting point for websites. It takes - care of the things that many sites have in common, so you can - focus on what makes your site different. - {% endblocktrans %} -

-
-
-
- {% blocktrans %} - Starter projects provide project layout, - scaffolding, already integrated components and - ready-to-go code. - Launch Paddle notebook - {% endblocktrans %} -
-
-
- {% blocktrans %} - Reusable apps provide common - infrastructure, back-end functionality, - and user-facing components. - {% endblocktrans %} -
-
-
- {% blocktrans %} - Themes provide default templates and - stylesheets for quick prototyping and easy customization. - {% endblocktrans %} -
-
-
-
-
-
-

- {% blocktrans %} - See paddlepaddle.org - for more information. - {% endblocktrans %} -

-
-
-{% endblock %} diff --git a/python/paddlecloud/paddlecloud/templates/site_base.html b/python/paddlecloud/paddlecloud/templates/site_base.html deleted file mode 100644 index 2fcc3955..00000000 --- a/python/paddlecloud/paddlecloud/templates/site_base.html +++ /dev/null @@ -1,49 +0,0 @@ -{% extends "theme_bootstrap/base.html" %} - -{% load staticfiles %} -{% load pinax_webanalytics_tags %} -{% load i18n %} -{% load notebook_status_tags %} - -{% block nav %} - {% get_user_notebook_status request.user as status %} - {% if request.user.is_authenticated %} - - {% endif %} -{% endblock %} - -{% block styles %} - -{% endblock %} - - -{% block extra_head_base %} - {% block extra_head %}{% endblock %} -{% endblock %} - - -{% block footer %} - {% include "_footer.html" %} -{% endblock %} - - -{% block scripts %} - -{% endblock %} - -{% block extra_body_base %} - {% analytics %} - {% block extra_body %}{% endblock %} -{% endblock %} diff --git a/python/paddlecloud/paddlecloud/templatetags/__init__.py b/python/paddlecloud/paddlecloud/templatetags/__init__.py deleted file mode 100644 index eca2dce1..00000000 --- a/python/paddlecloud/paddlecloud/templatetags/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. diff --git a/python/paddlecloud/paddlecloud/templatetags/notebook_status_tags.py b/python/paddlecloud/paddlecloud/templatetags/notebook_status_tags.py deleted file mode 100644 index abef38b1..00000000 --- a/python/paddlecloud/paddlecloud/templatetags/notebook_status_tags.py +++ /dev/null @@ -1,45 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from __future__ import unicode_literals -from django import template -from django.contrib.messages.utils import get_level_tags -from django.utils.encoding import force_text -from notebook.utils import email_escape, UserNotebook, user_certs_exist -import kubernetes - -LEVEL_TAGS = get_level_tags() - -register = template.Library() - - -def _get_notebook_id(self, username): - # notebook id is md5(username) - m = hashlib.md5() - m.update(username) - - return m.hexdigest()[:8] - - -@register.simple_tag() -def get_user_notebook_status(user): - if not user.is_authenticated: - return "" - username = user.username - if user_certs_exist(username): - namespace = email_escape(user.email) - ub = UserNotebook() - return ub.status(username, namespace) - else: - return "unknown" diff --git a/python/paddlecloud/paddlecloud/travis_settings.py b/python/paddlecloud/paddlecloud/travis_settings.py deleted file mode 100644 index b667352d..00000000 --- a/python/paddlecloud/paddlecloud/travis_settings.py +++ /dev/null @@ -1,313 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import os -from kubernetes import config - -PROJECT_ROOT = os.path.abspath( - os.path.join(os.path.dirname(__file__), os.pardir)) -PACKAGE_ROOT = os.path.abspath(os.path.dirname(__file__)) -BASE_DIR = PACKAGE_ROOT - -DEBUG = True - -DATABASES = { - "default": { - "ENGINE": "django.db.backends.mysql", - "NAME": "paddlecloud", - "USER": "root", - 'HOST': '127.0.0.1', # Or an IP Address that your DB is hosted on - 'PORT': '3306', - 'USER': 'root', - } -} - -ALLOWED_HOSTS = [ - "127.0.0.1", - "cloud.paddlepaddle.org", -] - -POD_IP = os.getenv("POD_IP") -if POD_IP: - ALLOWED_HOSTS.append(POD_IP) - -REST_FRAMEWORK = { - # Use Django's standard `django.contrib.auth` permissions, - # or allow read-only access for unauthenticated users. - 'DEFAULT_AUTHENTICATION_CLASSES': ( - 'rest_framework.authentication.BasicAuthentication', - 'rest_framework.authentication.SessionAuthentication', - 'rest_framework.authentication.TokenAuthentication', ), - 'DEFAULT_PERMISSION_CLASSES': - ['rest_framework.permissions.DjangoModelPermissionsOrAnonReadOnly'] -} - -# Local time zone for this installation. Choices can be found here: -# http://en.wikipedia.org/wiki/List_of_tz_zones_by_name -# although not all choices may be available on all operating systems. -# On Unix systems, a value of None will cause Django to use the same -# timezone as the operating system. -# If running in a Windows environment this must be set to the same as your -# system time zone. -TIME_ZONE = "UTC" - -# Language code for this installation. All choices can be found here: -# http://www.i18nguy.com/unicode/language-identifiers.html -LANGUAGE_CODE = "en-us" - -SITE_ID = int(os.environ.get("SITE_ID", 1)) - -# If you set this to False, Django will make some optimizations so as not -# to load the internationalization machinery. -USE_I18N = True - -# If you set this to False, Django will not format dates, numbers and -# calendars according to the current locale. -USE_L10N = True - -# If you set this to False, Django will not use timezone-aware datetimes. -USE_TZ = True - -# Absolute filesystem path to the directory that will hold user-uploaded files. -# Example: "/home/media/media.lawrence.com/media/" -MEDIA_ROOT = os.path.join(PACKAGE_ROOT, "site_media", "media") - -# URL that handles the media served from MEDIA_ROOT. Make sure to use a -# trailing slash. -# Examples: "http://media.lawrence.com/media/", "http://example.com/media/" -MEDIA_URL = "/site_media/media/" - -# Absolute path to the directory static files should be collected to. -# Don"t put anything in this directory yourself; store your static files -# in apps" "static/" subdirectories and in STATICFILES_DIRS. -# Example: "/home/media/media.lawrence.com/static/" -STATIC_ROOT = os.path.join(PACKAGE_ROOT, "site_media", "static") - -# URL prefix for static files. -# Example: "http://media.lawrence.com/static/" -STATIC_URL = "/site_media/static/" - -# Additional locations of static files -STATICFILES_DIRS = [os.path.join(PROJECT_ROOT, "static", "dist"), ] - -STATICFILES_STORAGE = "django.contrib.staticfiles.storage.ManifestStaticFilesStorage" - -# List of finder classes that know how to find static files in -# various locations. -STATICFILES_FINDERS = [ - "django.contrib.staticfiles.finders.FileSystemFinder", - "django.contrib.staticfiles.finders.AppDirectoriesFinder", -] - -# Make this unique, and don't share it with anybody. -SECRET_KEY = "vpu^(5mjr)*tloao^m$wlh)oc(fn1yoiqoq@m0$er((qlocq1k" - -TEMPLATES = [{ - "BACKEND": "django.template.backends.django.DjangoTemplates", - "DIRS": [os.path.join(PACKAGE_ROOT, "templates"), ], - "APP_DIRS": True, - "OPTIONS": { - "debug": DEBUG, - "context_processors": [ - "django.contrib.auth.context_processors.auth", - "django.template.context_processors.debug", - "django.template.context_processors.i18n", - "django.template.context_processors.media", - "django.template.context_processors.static", - "django.template.context_processors.tz", - "django.template.context_processors.request", - "django.contrib.messages.context_processors.messages", - "account.context_processors.account", - "pinax_theme_bootstrap.context_processors.theme", - ], - }, -}, ] - -MIDDLEWARE = [ - "django.contrib.sessions.middleware.SessionMiddleware", - "django.middleware.common.CommonMiddleware", - "django.middleware.csrf.CsrfViewMiddleware", - "django.contrib.auth.middleware.AuthenticationMiddleware", - "django.contrib.auth.middleware.SessionAuthenticationMiddleware", - "django.contrib.messages.middleware.MessageMiddleware", - "django.middleware.clickjacking.XFrameOptionsMiddleware", - "account.middleware.ExpiredPasswordMiddleware", -] - -ROOT_URLCONF = "paddlecloud.urls" - -# Python dotted path to the WSGI application used by Django's runserver. -WSGI_APPLICATION = "paddlecloud.wsgi.application" - -INSTALLED_APPS = [ - "django.contrib.admin", - "django.contrib.auth", - "django.contrib.contenttypes", - "django.contrib.messages", - "django.contrib.sessions", - "django.contrib.sites", - "django.contrib.staticfiles", - # token auth - "rest_framework", - "rest_framework.authtoken", - # paddlecloud apps - # NOTE: load before pinax_theme_bootstrap to customize the theme - "notebook", - - # theme - "bootstrapform", - "pinax_theme_bootstrap", - - # external - "account", - "pinax.eventlog", - "pinax.webanalytics", - - # project - "paddlecloud", -] - -# A sample logging configuration. The only tangible logging -# performed by this configuration is to send an email to -# the site admins on every HTTP 500 error when DEBUG=False. -# See http://docs.djangoproject.com/en/dev/topics/logging for -# more details on how to customize your logging configuration. -LOGGING = { - "version": 1, - "disable_existing_loggers": False, - "filters": { - "require_debug_false": { - "()": "django.utils.log.RequireDebugFalse" - } - }, - 'formatters': { - 'verbose': { - 'format': '[%(levelname)s %(asctime)s @ %(process)d] - %(message)s' - }, - 'simple': { - 'format': '%(levelname)s %(message)s' - }, - }, - "handlers": { - "mail_admins": { - "level": "ERROR", - "filters": ["require_debug_false"], - "class": "django.utils.log.AdminEmailHandler" - }, - "stdout": { - "level": "INFO", - "class": "logging.StreamHandler", - "formatter": "verbose" - }, - }, - "loggers": { - "": { - "handlers": ["stdout"], - "level": "ERROR", - "propagate": True, - }, - "django.request": { - "handlers": ["mail_admins"], - "level": "ERROR", - "propagate": True, - }, - } -} - -FIXTURE_DIRS = [os.path.join(PROJECT_ROOT, "fixtures"), ] - -EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend" - -ACCOUNT_OPEN_SIGNUP = True -ACCOUNT_EMAIL_UNIQUE = True -ACCOUNT_EMAIL_CONFIRMATION_REQUIRED = False -ACCOUNT_LOGIN_REDIRECT_URL = "home" -ACCOUNT_LOGOUT_REDIRECT_URL = "home" -ACCOUNT_EMAIL_CONFIRMATION_EXPIRE_DAYS = 2 -ACCOUNT_USE_AUTH_AUTHENTICATE = True -ACCOUNT_USER_DISPLAY = lambda user: user.email - -ACCOUNT_PASSWORD_EXPIRY = 60 * 60 * 24 * 5 # seconds until pw expires, this example shows five days -ACCOUNT_PASSWORD_USE_HISTORY = True - -AUTHENTICATION_BACKENDS = [ - "account.auth_backends.UsernameAuthenticationBackend", -] - -# secret places to store ca and users keys -CA_PATH = "/certs/ca.pem" -CA_KEY_PATH = "/certs/ca-key.pem" -USER_CERTS_PATH = "/certs" - -K8S_HOST = "https://%s:%s" % (os.getenv("KUBERNETES_SERVICE_HOST"), - os.getenv("KUBERNETES_SERVICE_PORT_HTTPS")) -# PADDLE_BOOK_IMAGE="docker.paddlepaddle.org/book:0.10.0rc2" -PADDLE_BOOK_IMAGE = "yancey1989/book-cloud" -PADDLE_BOOK_PORT = 8888 - -if os.getenv("KUBERNETES_SERVICE_HOST", None): - # init kubernete client with service account - config.load_incluster_config() -else: - # init kubernetes client with ~/.kube/config file - config.load_kube_config() - -#if Paddle cloud use CephFS as backend storage, configure CEPHFS_CONFIGURATION -#the following is an example: -#DATACENTERS = { -# "datacenter1":{ -# "fstype": "cephfs", -# "monitors_addr": "172.19.32.166:6789", -# "secret": "ceph-secret", -# "user": "admin", -# "mount_path": "/pfs/datacenter1/home/%s/", # mount_path % username -# "cephfs_path": "/%s" # cephfs_path % username -# "admin_key": "/certs/admin.secret" -# } -#} -#for HostPath example: -#DATACENTERS = { -# ... -# "dc1":{ -# "fstype": "hostpath", -# "host_path": "/mnt/hdfs/", -# "mount_path" "/pfs/dc1/home/%s/" # mount_path % username -# } -#} -DATACENTERS = { - "datacenter1": { - "fstype": "cephfs", - "monitors_addr": "172.19.32.166:6789", - "secret": "ceph-secret", - "user": "admin", - "mount_path": "/pfs/datacenter1/home/%s/", # mount_path % username - "cephfs_path": "/%s", # cephfs_path % username - "admin_key": "/certs/admin.secret" - } -} - -JOB_DOCKER_IMAGE = { - "image": "yancey1989/paddlecloud-job", - "registry_secret": "job-registry-secret", - "docker_config": { - "auths": { - "registry.baidu.com": { - "auth": "eWFueHUwNTpRTndVSGV1Rldl" - } - } - } -} - -# domains that allow notebook to enter -NOTEBOOK_DOMAINS = ["www.paddlepaddle.org"] diff --git a/python/paddlecloud/paddlecloud/urls.py b/python/paddlecloud/paddlecloud/urls.py deleted file mode 100644 index be2c7190..00000000 --- a/python/paddlecloud/paddlecloud/urls.py +++ /dev/null @@ -1,68 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from django.conf import settings -from django.conf.urls import include, url -from django.conf.urls.static import static -from django.views.generic import TemplateView - -from django.contrib import admin -import account.urls - -import notebook.views -import paddlejob.views -from rest_framework.authtoken import views -from rest_framework import routers - -urlpatterns = [ - url(r"^$", - TemplateView.as_view(template_name="homepage.html"), - name="home"), - url(r"^healthz/", notebook.views.healthz), - url(r"^admin/", include(admin.site.urls)), - url(r"^account/signup/$", - notebook.views.SignupView.as_view(), - name="account_signup"), - url(r"^account/login/$", - notebook.views.LoginView.as_view(), - name="account_login"), - url(r"^account/settings/$", - notebook.views.SettingsView.as_view(), - name="account_settings"), - url(r"^account/certs/$", - notebook.views.user_certs_view, - name="account_certs"), - url(r"^account/", include("account.urls")), - url(r"^notedash/", notebook.views.notebook_view), - url(r"^notestop/", notebook.views.stop_notebook_backend), - url(r"^certsdown/", notebook.views.user_certs_download), - url(r"^certsgen/", notebook.views.user_certs_generate), - url(r'^api-token-auth/', views.obtain_auth_token), - url(r'^api/sample/$', notebook.views.SampleView.as_view()), - url(r"^api/v1/jobs/", paddlejob.views.JobsView.as_view()), - url(r"^api/v1/trainingjobs/", paddlejob.views.TrainingJobsView.as_view()), - url(r"^api/v1/pservers/", paddlejob.views.PserversView.as_view()), - url(r"^api/v1/logs/", paddlejob.views.LogsView.as_view()), - url(r"^api/v1/workers/", paddlejob.views.WorkersView.as_view()), - url(r"^api/v1/quota/", paddlejob.views.QuotaView.as_view()), - url(r"^api/v1/file/", paddlejob.views.SimpleFileView.as_view()), - url(r"^api/v1/token2user/", paddlejob.views.GetUserView.as_view()), - url(r"^api/v1/filelist/", paddlejob.views.SimpleFileList.as_view()), - url(r"^api/v1/registry/", paddlejob.registry.RegistryView.as_view()), - url(r"^api/v1/publish/", paddlejob.views.FilePublishAPIView.as_view()), - url(r"^filepub/", paddlejob.views.file_publish_view), -] - -urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT) -urlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT) diff --git a/python/paddlecloud/paddlecloud/wsgi.py b/python/paddlecloud/paddlecloud/wsgi.py deleted file mode 100644 index c482acd8..00000000 --- a/python/paddlecloud/paddlecloud/wsgi.py +++ /dev/null @@ -1,29 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" -WSGI config for paddlecloud project. - -It exposes the WSGI callable as a module-level variable named ``application``. - -For more information on this file, see -https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/ -""" - -import os - -from django.core.wsgi import get_wsgi_application - -os.environ.setdefault("DJANGO_SETTINGS_MODULE", "paddlecloud.settings") - -application = get_wsgi_application() diff --git a/python/paddlecloud/paddlejob/__init__.py b/python/paddlecloud/paddlejob/__init__.py deleted file mode 100644 index 1a5c64eb..00000000 --- a/python/paddlecloud/paddlejob/__init__.py +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from paddle_job import PaddleJob -import registry -__all__ = ["PaddleJob", "registry"] diff --git a/python/paddlecloud/paddlejob/cloudprovider/__init__.py b/python/paddlecloud/paddlejob/cloudprovider/__init__.py deleted file mode 100644 index eca2dce1..00000000 --- a/python/paddlecloud/paddlejob/cloudprovider/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. diff --git a/python/paddlecloud/paddlejob/cloudprovider/k8s_provider.py b/python/paddlecloud/paddlejob/cloudprovider/k8s_provider.py deleted file mode 100644 index f8ecd627..00000000 --- a/python/paddlecloud/paddlejob/cloudprovider/k8s_provider.py +++ /dev/null @@ -1,386 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from kubernetes import client, config -from kubernetes.client.rest import ApiException -# FIXME(typhoonzero): still need to import settings -from django.conf import settings - -import copy -import os -import logging -import traceback - -import utils -import volume -import json - - -# FIXME(typhoonzero): need a base class to define the interfaces? -class K8sProvider: - """ - Kubernetes Cloud Porvider - Provide interfaces for manage jobs and resources. - """ - - def __init__(self): - pass - - def get_jobs(self, username): - namespace = utils.email_escape(username) - api_instance =\ - client.BatchV1Api(api_client=utils.get_user_api_client(username)) - job_list = api_instance.list_namespaced_job(namespace) - # NOTE: when job is deleted, some pods of the job will be at "Terminating" status - # for a while, which may cause submit fail. Find all pods that are still "Terminating". - user_pod_list =\ - client.CoreV1Api(api_client=utils.get_user_api_client(username))\ - .list_namespaced_pod(namespace) - terminating_jobs = [] - for pod in user_pod_list.items: - jobname = "" - if not pod.metadata.labels: - continue - if "paddle-job" in pod.metadata.labels: - jobname = pod.metadata.labels["paddle-job"] - elif "paddle-job-master" in pod.metadata.labels: - jobname = pod.metadata.labels["paddle-job-master"] - elif "paddle-job-pserver" in pod.metadata.labels: - jobname = pod.metadata.labels["paddle-job-pserver"] - if pod.metadata.deletion_timestamp and jobname: - if jobname not in terminating_jobs: - terminating_jobs.append(jobname) - # NOTE: put it in the original dict for backward compability - ret_dict = copy.deepcopy(job_list.to_dict()) - ret_dict["terminating"] = terminating_jobs - return ret_dict - - def __setup_volumes(self, paddlejob, username): - volumes = [] - for k, cfg in settings.DATACENTERS.items(): - if k != paddlejob.dc and k != "public": - continue - fstype = cfg["fstype"] - if fstype == settings.FSTYPE_CEPHFS: - if k == "public": - mount_path = cfg["mount_path"] % paddlejob.dc - cephfs_path = cfg["cephfs_path"] - else: - mount_path = cfg["mount_path"] % (paddlejob.dc, username) - cephfs_path = cfg["cephfs_path"] % username - volumes.append( - volume.get_volume_config( - fstype=fstype, - name=k.replace("_", "-"), - monitors_addr=cfg["monitors_addr"], - secret=cfg["secret"], - user=cfg["user"], - mount_path=mount_path, - cephfs_path=cephfs_path, - admin_key=cfg["admin_key"], - read_only=cfg.get("read_only", False))) - elif fstype == settings.FSTYPE_HOSTPATH: - if k == "public": - mount_path = cfg["mount_path"] % paddlejob.dc - host_path = cfg["host_path"] - else: - mount_path = cfg["mount_path"] % (paddlejob.dc, username) - host_path = cfg["host_path"] % username - - volumes.append( - volume.get_volume_config( - fstype=fstype, - name=k.replace("_", "-"), - mount_path=mount_path, - host_path=host_path)) - else: - pass - paddlejob.volumes = volumes - - def _valid_and_fill(self, paddlejob, username): - namespace = utils.email_escape(username) - api_client = utils.get_user_api_client(username) - self.__setup_volumes(paddlejob, username) - if not paddlejob.registry_secret: - paddlejob.registry_secret = settings.JOB_DOCKER_IMAGE.get( - "registry_secret", None) - if not paddlejob.image: - if paddlejob.gpu > 0: - paddlejob.image = settings.JOB_DOCKER_IMAGE["image_gpu"] - else: - paddlejob.image = settings.JOB_DOCKER_IMAGE["image"] - - # jobPackage validation: startwith /pfs - # NOTE: job packages are uploaded to /pfs/[dc]/home/[user]/jobs/[jobname] - package_in_pod = os.path.join("/pfs/%s/home/%s" % ( - paddlejob.dc, username), "jobs", paddlejob.name) - - logging.info("valid_and_fill: current package: %s", package_in_pod) - # package must be ready before submit a job - current_package_path = package_in_pod.replace( - "/pfs/%s/home" % paddlejob.dc, settings.STORAGE_PATH) - if not os.path.exists(current_package_path): - current_package_path = package_in_pod.replace("/pfs/%s/home/%s" % ( - paddlejob.dc, username), settings.STORAGE_PATH) - if not os.path.exists(current_package_path): - raise Exception("package not exist in cloud: %s" % - current_package_path) - logging.info("valid_and_fill: current package in pod: %s", - current_package_path) - - # GPU quota management - # TODO(Yancey1989) We should move this to Kubernetes - if 'GPU_QUOTA' in dir(settings) and int(paddlejob.gpu) > 0: - gpu_usage = 0 - pods = client.CoreV1Api(api_client=api_client).list_namespaced_pod( - namespace=namespace) - for pod in pods.items: - # only statistics trainer GPU resource, pserver does not use GPU - if pod.metadata.labels and 'paddle-job' in pod.metadata.labels and \ - pod.status.phase == 'Running': - gpu_usage += int(pod.spec.containers[ - 0].resources.limits.get( - 'alpha.kubernetes.io/nvidia-gpu', '0')) - if username in settings.GPU_QUOTA: - gpu_quota = settings.GPU_QUOTA[username]['limit'] - else: - gpu_quota = settings.GPU_QUOTA['DEFAULT']['limit'] - gpu_available = gpu_quota - gpu_usage - gpu_request = int(paddlejob.gpu) * int(paddlejob.parallelism) - logging.info('gpu available: %d, gpu request: %d' % - (gpu_available, gpu_request)) - if gpu_available < gpu_request: - raise Exception("You don't have enought GPU quota," + \ - "request: %d, usage: %d, limit: %d" % (gpu_request, gpu_usage, gpu_quota)) - - # add Nvidia lib volume if training with GPU - if paddlejob.gpu > 0: - paddlejob.volumes.append( - volume.get_volume_config( - fstype=settings.FSTYPE_HOSTPATH, - name="nvidia-libs", - mount_path="/usr/local/nvidia/lib64", - host_path=settings.NVIDIA_LIB_PATH)) - - def submit_job(self, paddlejob, username): - self._valid_and_fill(paddlejob, username) - - namespace = utils.email_escape(username) - api_client = utils.get_user_api_client(username) - # ========== submit master ReplicaSet if using fault_tolerant feature == - # FIXME: alpha features in separate module - if paddlejob.fault_tolerant: - try: - ret = client.ExtensionsV1beta1Api( - api_client=api_client).create_namespaced_replica_set( - namespace, paddlejob.new_master_job()) - except ApiException, e: - logging.error("error submitting master job: %s", - traceback.format_exc()) - raise e - # ========================= submit pserver job ========================= - try: - ret = client.ExtensionsV1beta1Api( - api_client=api_client).create_namespaced_replica_set( - namespace, paddlejob.new_pserver_job()) - except ApiException, e: - logging.error("error submitting pserver job: %s ", - traceback.format_exc()) - raise e - # ========================= submit trainer job ========================= - try: - ret = client.BatchV1Api( - api_client=api_client).create_namespaced_job( - namespace, paddlejob.new_trainer_job()) - except ApiException, e: - logging.error("error submitting trainer job: %s" % - traceback.format_exc()) - raise e - return ret - - def _create_traingingjobs(self, body, username): - namespace = utils.email_escape(username) - api_client = utils.get_user_api_client(username) - resource_path = '/apis/paddlepaddle.org/v1/namespaces/' + namespace + '/trainingjobs' - header_params = {} - header_params['Accept'] = api_client.select_header_accept( - ['application/json']) - header_params['Content-Type'] = api_client.select_header_content_type( - ['*/*']) - - (resp, code, header) = api_client.call_api( - resource_path, - 'POST', {'namespace': namespace}, {}, - header_params, - body, [], - _preload_content=False) - - return json.loads(resp.data.decode('utf-8')) - - def submit_trainingjobs(self, paddlejob, username): - self._valid_and_fill(paddlejob, username) - - job = paddlejob.new_trainingjobs() - resp = self._create_traingingjobs(job, username) - - logging.info(str(resp)) - - def delete_trainingjobs(self, paddlejob, username): - api_client = utils.get_user_api_client(username) - resp = client.ExtensionsV1beta1Api().\ - delete_third_party_resource("TrainingJobs", body=kubernetes.client.V1DeleteOptions()) - print("ThirdPartyResource delete") - print(str(resp)) - - def delete_job(self, jobname, username): - namespace = utils.email_escape(username) - api_client = utils.get_user_api_client(username) - if not jobname: - return utils.simple_response(500, "must specify jobname") - # FIXME: options needed: grace_period_seconds, orphan_dependents, preconditions - # FIXME: cascade delteing - delete_status = [] - # delete job - trainer_name = jobname + "-trainer" - try: - u_status = client.BatchV1Api(api_client=api_client)\ - .delete_namespaced_job(trainer_name, namespace, {}) - except ApiException, e: - logging.error("error deleting job: %s, %s", jobname, str(e)) - delete_status.append(str(e)) - - # delete job pods - try: - job_pod_list = client.CoreV1Api(api_client=api_client)\ - .list_namespaced_pod(namespace, - label_selector="paddle-job=%s"%jobname) - for i in job_pod_list.items: - u_status = client.CoreV1Api(api_client=api_client)\ - .delete_namespaced_pod(i.metadata.name, namespace, {}) - except ApiException, e: - logging.error("error deleting job pod: %s", str(e)) - delete_status.append(str(e)) - - # delete pserver rs - pserver_name = jobname + "-pserver" - try: - u_status = client.ExtensionsV1beta1Api(api_client=api_client)\ - .delete_namespaced_replica_set(pserver_name, namespace, {}) - except ApiException, e: - logging.error("error deleting pserver: %s" % str(e)) - delete_status.append(str(e)) - - # delete pserver pods - try: - # pserver replica set has label with jobname - job_pod_list = client.CoreV1Api(api_client=api_client)\ - .list_namespaced_pod(namespace, - label_selector="paddle-job-pserver=%s"%jobname) - for i in job_pod_list.items: - u_status = client.CoreV1Api(api_client=api_client)\ - .delete_namespaced_pod(i.metadata.name, namespace, {}) - except ApiException, e: - logging.error("error deleting pserver pods: %s" % str(e)) - delete_status.append(str(e)) - - # delete master rs - master_name = jobname + "-master" - try: - u_status = client.ExtensionsV1beta1Api(api_client=api_client)\ - .delete_namespaced_replica_set(master_name, namespace, {}) - except ApiException, e: - logging.error("error deleting master: %s" % str(e)) - # just ignore deleting master failed, we do not set up master process - # without fault tolerant mode - #delete_status.append(str(e)) - - # delete master pods - try: - # master replica set has label with jobname - job_pod_list = client.CoreV1Api(api_client=api_client)\ - .list_namespaced_pod(namespace, - label_selector="paddle-job-master=%s"%jobname) - for i in job_pod_list.items: - u_status = client.CoreV1Api(api_client=api_client)\ - .delete_namespaced_pod(i.metadata.name, namespace, {}) - except ApiException, e: - logging.error("error deleting master pods: %s" % str(e)) - # just ignore deleting master failed, we do not set up master process - # without fault tolerant mode - #delete_status.append(str(e)) - - if len(delete_status) > 0: - retcode = 500 - else: - retcode = 200 - return retcode, delete_status - - def get_pservers(self, username): - namespace = utils.email_escape(username) - api_instance = client.ExtensionsV1beta1Api( - api_client=utils.get_user_api_client(username)) - return api_instance.list_namespaced_replica_set(namespace).to_dict() - - def get_logs(self, jobname, num_lines, worker, username): - def _get_pod_log(api_client, namespace, pod_name, num_lines): - try: - if num_lines: - pod_log = client.CoreV1Api(api_client=api_client)\ - .read_namespaced_pod_log( - pod_name, namespace, tail_lines=int(num_lines)) - else: - pod_log = client.CoreV1Api(api_client=api_client)\ - .read_namespaced_pod_log(i.metadata.name, namespace) - return pod_log - except ApiException, e: - return str(e) - - namespace = utils.email_escape(username) - api_client = utils.get_user_api_client(username) - job_pod_list = client.CoreV1Api(api_client=api_client)\ - .list_namespaced_pod(namespace, label_selector="paddle-job=%s"%jobname) - total_job_log = "" - if not worker: - for i in job_pod_list.items: - total_job_log = "".join( - (total_job_log, - "==========================%s==========================" % - i.metadata.name)) - pod_log = _get_pod_log(api_client, namespace, i.metadata.name, - num_lines) - total_job_log = "\n".join((total_job_log, pod_log)) - else: - total_job_log = _get_pod_log(api_client, namespace, worker, - num_lines) - return total_job_log - - def get_workers(self, jobname, username): - namespace = utils.email_escape(username) - job_pod_list = None - api_client = utils.get_user_api_client(username) - if not jobname: - job_pod_list = client.CoreV1Api(api_client=api_client)\ - .list_namespaced_pod(namespace) - else: - selector = "paddle-job=%s" % jobname - job_pod_list = client.CoreV1Api(api_client=api_client)\ - .list_namespaced_pod(namespace, label_selector=selector) - return job_pod_list.to_dict() - - def get_quotas(self, username): - namespace = utils.email_escape(username) - api_client = utils.get_user_api_client(username) - quota_list = client.CoreV1Api(api_client=api_client)\ - .list_namespaced_resource_quota(namespace) - return quota_list.to_dict() diff --git a/python/paddlecloud/paddlejob/cloudprovider/utils.py b/python/paddlecloud/paddlejob/cloudprovider/utils.py deleted file mode 100644 index 92a0200f..00000000 --- a/python/paddlecloud/paddlejob/cloudprovider/utils.py +++ /dev/null @@ -1,75 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import kubernetes -from kubernetes import client, config -from kubernetes.client.rest import ApiException -import os -# FIXME(typhoonzero): still need to import settings -from django.conf import settings - - -def email_escape(email): - """ - Escape email to a safe string of kubernetes namespace - """ - safe_email = email.replace("@", "-") - safe_email = safe_email.replace(".", "-") - safe_email = safe_email.replace("_", "-") - return safe_email - - -def get_user_api_client(username): - """ - Update kubernetes client to use current logined user's crednetials - """ - - conf_obj = kubernetes.client.Configuration() - conf_obj.host = settings.K8S_HOST - conf_obj.ssl_ca_cert = os.path.join(settings.CA_PATH) - conf_obj.cert_file = os.path.join(settings.USER_CERTS_PATH, username, - "%s.pem" % username) - conf_obj.key_file = os.path.join(settings.USER_CERTS_PATH, username, - "%s-key.pem" % username) - api_client = kubernetes.client.ApiClient(config=conf_obj) - return api_client - - -def get_admin_api_client(): - """ - Update kubernetes client to use admin user to create namespace and authorizations - """ - - conf_obj = kubernetes.client.Configuration() - conf_obj.host = settings.K8S_HOST - conf_obj.ssl_ca_cert = os.path.join(settings.CA_PATH) - conf_obj.cert_file = os.path.join(settings.USER_CERTS_PATH, "admin.pem") - conf_obj.key_file = os.path.join(settings.USER_CERTS_PATH, "admin-key.pem") - api_client = kubernetes.client.ApiClient(config=conf_obj) - return api_client - - -def user_certs_exist(username): - """ - Return True if the user's certs already generated. User's keys are of pairs. - """ - has_cert = os.path.isfile( - os.path.join(settings.USER_CERTS_PATH, username, "%s.pem" % username)) - has_key = os.path.isfile( - os.path.join(settings.USER_CERTS_PATH, username, "%s-key.pem" % - username)) - if has_cert and has_key: - return True - else: - return False diff --git a/python/paddlecloud/paddlejob/cloudprovider/volume.py b/python/paddlecloud/paddlejob/cloudprovider/volume.py deleted file mode 100644 index 09b9b712..00000000 --- a/python/paddlecloud/paddlejob/cloudprovider/volume.py +++ /dev/null @@ -1,89 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import json - -__all__ = ["get_volume_config"] - -tmpl_volume = { - "hostpath": "{\"name\": $NAME, \"hostPath\":{\"path\": $HOST_PATH}}", - "cephfs": "{\"name\": $NAME,\"cephfs\":{\"name\": \"cephfs\", \ - \"monitors\": $MONITORS_ADDR,\"path\": $CEPHFS_PATH, \ - \"readOnly\": $READ_ONLY, \"user\": $USER, \ - \"secretRef\": {\"name\": $SECRET}}}" -} -tmpl_volume_mount = { - "hostpath": "{\"name\": $NAME, \"mountPath\":$MOUNT_PATH}", - "cephfs": "{\"mountPath\": $MOUNT_PATH, \"name\": $NAME}" -} - - -def __render(tmpl, **kwargs): - for k, v in kwargs.items(): - tmpl_k = "$%s" % k.upper() - if tmpl.find(tmpl_k) != -1: - if type(v) is str or type(v) is unicode: - tmpl = tmpl.replace(tmpl_k, "\"%s\"" % v) - elif type(v) is list or type(v) is bool: - tmpl = tmpl.replace(tmpl_k, json.dumps(v)) - else: - pass - return tmpl - - -def __get_template(tmpls, fstype): - if fstype in tmpls.keys(): - return tmpls[fstype] - else: - return "" - - -def get_volume_config(**kwargs): - """ - :param fstype: which filesystem type - :type fstype: str - - if fstype is host_path: - - :param name: a unique name for a Kubernetes job configuration - :type name: str - :param mount_path: path in pod - :type mount_path: str - :param host_path: path no the host - :type host_path: str - - if fstype is cephfs: - - :param name: unique name for a Kubernetes Job configuration - :type name: str - :param monitors_addr: the CephFS monitors address - :type monitors_addr: list - :param cephfs_path: CephFS Path - :type cephfs_path: str - :param user: ceph cluster user - :type user: str - :param secret: Kubernetes Secret for Ceph secret - :type secret: str - :param mount_path: mount path in Pod - :type mount_path: str - """ - fstype = kwargs["fstype"] - tmpl_v = __get_template(tmpl_volume, fstype) - tmpl_vm = __get_template(tmpl_volume_mount, fstype) - return { - "volume": json.loads(__render( - tmpl=tmpl_v, **kwargs)), - "volume_mount": json.loads(__render( - tmpl=tmpl_vm, **kwargs)) - } diff --git a/python/paddlecloud/paddlejob/paddle_job.py b/python/paddlecloud/paddlejob/paddle_job.py deleted file mode 100644 index 64b53c83..00000000 --- a/python/paddlecloud/paddlejob/paddle_job.py +++ /dev/null @@ -1,249 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import kubernetes -from kubernetes import client, config -import os - -from specs import spec_master, spec_pserver, spec_trainer, spec_trainingjob - -DEFAULT_PADDLE_PORT = 7164 -DEFAULT_MASTER_PORT = 8080 -DEFAULT_ETCD_PORT = 2379 - - -class UniversionedAPI(object): - """ - Base defination for Paddle Cloud API fields. - """ - required = { - "name": "The name of the job.", - "job_package": "The folder containing the job programs.", - "parallelism": "The number of trainers to launch.", - "cpu": "The CPU resource for each trainer.", - "memory": "The memory resource for each trainer.", - "pservers": "The number of pservers to launch.", - "pscpu": "The CPU resource for each pserver.", - "psmemory": "The memory resouce for each pserver.", - "topology": "The Paddle V1 config file.", - "entry": "The command to run.", - "dc": "The datacenter specs." - } - optional = { - "image": "The docker image to use", - "passes": "The number of passes to run.", - "gpu": "The number of GPU for each trainer.", - "fault_tolerant": "Whether using the new fault-tolerant mode.", - "volumes": "The data volumes to mount on pod.", - "registry_secret": "The secret for reading registry.", - "envs": "The environment variables for all pods", - "etcd_image": "The etcd docker image.", - "min_instance": - "The minimum number of trainers to launch, only used for faulttolerant.", - "max_instance": - "The maximum number of trainers to launch, only used for faulttolerant." - } - optional_defaults = { - "image": "", - "passes": 1, - "gpu": 0, - "fault_tolerant": False, - "volumes": [], - "registry_secret": "", - "envs": {}, - "etcd_image": "quay.io/coreos/etcd:v3.2.1" - } - # do not expose to user attributes. - internal = { - "ports_num": "ports_num argument for trainer.", - "ports_num_for_sparse": "ports_num_for_sparse argument for trainer.", - "mastercpu": "master process cpu resource.", - "mastermemory": "master process memory resource." - } - # internal_defaults may be changed during setup. - internal_defaults = { - "ports_num": 1, - "ports_num_for_sparse": 1, - "mastercpu": 1, - "mastermemory": "300Mi", - "num_gradient_servers": 1 - } - - -class APIV1(UniversionedAPI): - """ - For v1 implementation - """ - pass - - -class PaddleJob(object): - """ - PaddleJob Abstraction. - A job can be submited to any cluster environment - using one submit engine. - """ - - def __init__(self, **kwargs): - self.apiv1 = APIV1() - # setup required - for k in self.apiv1.required: - if k not in kwargs: - raise Exception("Field required: %s" % k) - setattr(self, k, kwargs[k]) - for k in self.apiv1.optional: - if k in kwargs: - setattr(self, k, kwargs[k]) - else: - setattr(self, k, self.apiv1.optional_defaults[k]) - for k in self.apiv1.internal: - setattr(self, k, self.apiv1.internal_defaults[k]) - - self.num_gradient_servers = self.parallelism - - def get_master_name(self): - return "%s-master" % self.name - - def get_pserver_name(self): - return "%s-pserver" % self.name - - def get_trainer_name(self): - return "%s-trainer" % self.name - - def get_env(self): - envs = [] - envs.append({"name": "PADDLE_JOB_NAME", "value": self.name}) - envs.append({"name": "TRAINERS", "value": str(self.parallelism)}) - envs.append({"name": "PSERVERS", "value": str(self.pservers)}) - envs.append({"name": "TOPOLOGY", "value": self.topology}) - envs.append({"name": "ENTRY", "value": self.entry}) - envs.append({"name": "TRAINER_PACKAGE", "value": self.job_package}) - envs.append({ - "name": "PADDLE_INIT_PORT", - "value": str(DEFAULT_PADDLE_PORT) - }) - if self.gpu > 0: - envs.append({ - "name": "PADDLE_INIT_TRAINER_COUNT", - "value": str(self.gpu) - }) - else: - envs.append({ - "name": "PADDLE_INIT_TRAINER_COUNT", - "value": str(self.cpu) - }) - envs.append({ - "name": "PADDLE_INIT_PORTS_NUM", - "value": str(self.ports_num) - }) - envs.append({ - "name": "PADDLE_INIT_PORTS_NUM_FOR_SPARSE", - "value": str(self.ports_num_for_sparse) - }) - envs.append({ - "name": "PADDLE_INIT_NUM_GRADIENT_SERVERS", - "value": str(self.num_gradient_servers) - }) - envs.append({ - "name": "PADDLE_INIT_NUM_PASSES", - "value": str(self.passes) - }) - if self.gpu: - envs.append({"name": "PADDLE_INIT_USE_GPU", "value": str("1")}) - # HACK: add nvidia lib LD_LIBRARY_PATH for all pods - envs.append({ - "name": "LD_LIBRARY_PATH", - "value": "/usr/local/nvidia/lib64" - }) - else: - envs.append({"name": "PADDLE_INIT_USE_GPU", "value": str("0")}) - envs.append({ - "name": "NAMESPACE", - "valueFrom": { - "fieldRef": { - "fieldPath": "metadata.namespace" - } - } - }) - if self.envs: - for k, v in self.envs.items(): - envs.append({"name": k, "value": v}) - return envs - - def get_pserver_container_ports(self): - ports = [] - port = DEFAULT_PADDLE_PORT - for i in xrange(self.ports_num + self.ports_num_for_sparse): - ports.append({"containerPort": port, "name": "jobport-%d" % i}) - port += 1 - return ports - - def get_master_container_ports(self): - ports = [] - port = DEFAULT_MASTER_PORT - ports.append({ - "containerPort": DEFAULT_MASTER_PORT, - "name": "master-port" - }) - ports.append({"containerPort": DEFAULT_ETCD_PORT, "name": "etcd-port"}) - return ports - - def get_master_labels(self): - return {"paddle-job-master": self.name} - - def get_pserver_labels(self): - return {"paddle-job-pserver": self.name} - - def get_master_entrypoint(self): - return ["paddle_k8s", "start_master"] - - def get_pserver_entrypoint(self): - if not self.fault_tolerant: - return ["paddle_k8s", "start_pserver"] - else: - return ["paddle_k8s", "start_new_pserver"] - - def get_trainer_entrypoint(self): - if self.entry: - if self.fault_tolerant: - return ["paddle_k8s", "start_new_trainer"] - return ["paddle_k8s", "start_trainer", "v2"] - return ["paddle_k8s", "start_trainer", "v1"] - - def get_trainer_labels(self): - return {"paddle-job": self.name} - - def get_trainer_volumes(self): - volumes = [] - for item in self.volumes: - volumes.append(item["volume"]) - return volumes - - def get_trainer_volume_mounts(self): - volume_mounts = [] - for item in self.volumes: - volume_mounts.append(item["volume_mount"]) - return volume_mounts - - def new_master_job(self): - return spec_master.get_spec_master(self) - - def new_pserver_job(self): - return spec_pserver.get_spec_pserver(self) - - def new_trainer_job(self): - return spec_trainer.get_spec_trainer(self) - - def new_trainingjobs(self): - return spec_trainingjob.get_trainingjob(self) diff --git a/python/paddlecloud/paddlejob/registry.py b/python/paddlecloud/paddlejob/registry.py deleted file mode 100644 index 927fe1fb..00000000 --- a/python/paddlecloud/paddlejob/registry.py +++ /dev/null @@ -1,118 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from django.http import HttpResponseRedirect, HttpResponse, JsonResponse -from django.contrib import messages -from django.conf import settings -from kubernetes import client, config -from kubernetes.client.rest import ApiException -from . import PaddleJob -from rest_framework.authtoken.models import Token -from rest_framework import viewsets, generics, permissions -from rest_framework.response import Response -from rest_framework.views import APIView -from rest_framework.parsers import MultiPartParser, FormParser, FileUploadParser -import json -import utils -import notebook.utils -import logging -import os -import base64 - - -def docker_cfg(username, password, email, server): - auth = "%s:%s" % (username, password) - auth_encode = base64.b64encode(auth) - return json.dumps({ - server: { - "username": username, - "password": password, - "email": email, - "auth": auth_encode - } - }) - - -class RegistryView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def post(self, request): - """ - Cretea a registry secret - """ - username = request.user.username - user_namespace = notebook.utils.email_escape(username) - api_client = notebook.utils.get_user_api_client(username) - obj = json.loads(request.body) - name = obj.get("name") - docker_username = obj.get("username") - docker_password = obj.get("password") - docker_server = obj.get("server") - cfg = docker_cfg(docker_username, docker_password, username, - docker_server) - try: - ret = client.CoreV1Api( - api_client=api_client).create_namespaced_secret( - namespace=user_namespace, - body={ - "apiVersion": "v1", - "kind": "Secret", - "metadata": { - "name": name - }, - "data": { - ".dockerconfigjson": base64.b64encode(cfg) - }, - "type": "kubernetes.io/dockerconfigjson" - }) - except ApiException, e: - logging.error("Failed when create secret.") - return utils.simple_response(500, str(e)) - return utils.simple_response(200, "") - - def delete(self, request): - """ - Delete a registry secret - """ - username = username = request.user.username - user_namespace = notebook.utils.email_escape(username) - api_client = notebook.utils.get_user_api_client(username) - obj = json.loads(request.body) - name = obj.get("name") - try: - ret = client.CoreV1Api( - api_client=api_client).delete_namespaced_secret( - name=name, - namespace=user_namespace, - body=client.V1DeleteOptions()) - except ApiException, e: - logging.error("Failed when delete secret.") - return utils.simple_response(500, str(e)) - return utils.simple_response(200, "") - - def get(self, request): - """ - Get registrys - """ - username = username = request.user.username - user_namespace = notebook.utils.email_escape(username) - api_client = notebook.utils.get_user_api_client(username) - try: - secretes_list = client.CoreV1Api( - api_client=api_client).list_namespaced_secret( - namespace=user_namespace) - return utils.simple_response(200, secretes_list.to_dict()) - except ApiException, e: - logging.error("Failed when list secrets.") - return utils.simple_response(500, str(e)) diff --git a/python/paddlecloud/paddlejob/specs/__init__.py b/python/paddlecloud/paddlejob/specs/__init__.py deleted file mode 100644 index 44072645..00000000 --- a/python/paddlecloud/paddlejob/specs/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -__all__ = ["spec_pserver", "spec_master", "spec_trainer"] \ No newline at end of file diff --git a/python/paddlecloud/paddlejob/specs/spec_master.py b/python/paddlecloud/paddlejob/specs/spec_master.py deleted file mode 100644 index 252979bb..00000000 --- a/python/paddlecloud/paddlejob/specs/spec_master.py +++ /dev/null @@ -1,75 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - - -def get_spec_master(paddlejob): - return { - "apiVersion": "extensions/v1beta1", - "kind": "ReplicaSet", - "metadata": { - "name": paddlejob.get_master_name(), - }, - "spec": { - "replicas": 1, # NOTE: always 1 replica of master - "template": { - "metadata": { - "labels": paddlejob.get_master_labels() - }, - "spec": { - # mount trainer volumes to dispatch datasets - "volumes": paddlejob.get_trainer_volumes(), - "containers": [{ - "name": paddlejob.name, - "image": paddlejob.image, - "ports": paddlejob.get_master_container_ports(), - "env": paddlejob.get_env(), - "volumeMounts": paddlejob.get_trainer_volume_mounts(), - "command": paddlejob.get_master_entrypoint(), - "resources": { - "requests": { - "memory": str(paddlejob.mastermemory), - "cpu": str(paddlejob.mastercpu) - }, - "limits": { - "memory": str(paddlejob.mastermemory), - "cpu": str(paddlejob.mastercpu) - } - } - }, { - "name": paddlejob.name + "-etcd", - "image": paddlejob.etcd_image, - "command": [ - "etcd", "-name", "etcd0", "-advertise-client-urls", - "http://$(POD_IP):2379,http://$(POD_IP):4001", - "-listen-client-urls", - "http://0.0.0.0:2379,http://0.0.0.0:4001", - "-initial-advertise-peer-urls", - "http://$(POD_IP):2380", "-listen-peer-urls", - "http://0.0.0.0:2380", "-initial-cluster", - "etcd0=http://$(POD_IP):2380", - "-initial-cluster-state", "new" - ], - "env": [{ - "name": "POD_IP", - "valueFrom": { - "fieldRef": { - "fieldPath": "status.podIP" - } - } - }] - }] - } - } - } - } diff --git a/python/paddlecloud/paddlejob/specs/spec_pserver.py b/python/paddlecloud/paddlejob/specs/spec_pserver.py deleted file mode 100644 index a2b4bb3a..00000000 --- a/python/paddlecloud/paddlejob/specs/spec_pserver.py +++ /dev/null @@ -1,59 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - - -def get_spec_pserver(paddlejob): - rs = { - "apiVersion": "extensions/v1beta1", - "kind": "ReplicaSet", - "metadata": { - "name": paddlejob.get_pserver_name(), - }, - "spec": { - "replicas": paddlejob.pservers, - "template": { - "metadata": { - "labels": paddlejob.get_pserver_labels() - }, - "spec": { - "volumes": paddlejob.get_trainer_volumes(), - "containers": [{ - "name": paddlejob.name, - "image": paddlejob.image, - "ports": paddlejob.get_pserver_container_ports(), - "env": paddlejob.get_env(), - "volumeMounts": paddlejob.get_trainer_volume_mounts(), - "command": paddlejob.get_pserver_entrypoint(), - "resources": { - "requests": { - "memory": str(paddlejob.psmemory), - "cpu": str(paddlejob.pscpu) - }, - "limits": { - "memory": str(paddlejob.psmemory), - "cpu": str(paddlejob.pscpu * 1.5) - } - } - }] - } - } - } - } - if paddlejob.registry_secret: - rs["spec"]["template"]["spec"].update({ - "imagePullSecrets": [{ - "name": paddlejob.registry_secret - }] - }) - return rs diff --git a/python/paddlecloud/paddlejob/specs/spec_trainer.py b/python/paddlecloud/paddlejob/specs/spec_trainer.py deleted file mode 100644 index 2965975e..00000000 --- a/python/paddlecloud/paddlejob/specs/spec_trainer.py +++ /dev/null @@ -1,64 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - - -def get_spec_trainer(paddlejob): - job = { - "apiVersion": "batch/v1", - "kind": "Job", - "metadata": { - "name": paddlejob.get_trainer_name(), - }, - "spec": { - "parallelism": paddlejob.parallelism, - "completions": paddlejob.parallelism, - "template": { - "metadata": { - "labels": paddlejob.get_trainer_labels() - }, - "spec": { - "volumes": paddlejob.get_trainer_volumes(), - "containers": [{ - "name": "trainer", - "image": paddlejob.image, - "imagePullPolicy": "Always", - "command": paddlejob.get_trainer_entrypoint(), - "env": paddlejob.get_env(), - "volumeMounts": paddlejob.get_trainer_volume_mounts(), - "resources": { - "requests": { - "memory": str(paddlejob.memory), - "cpu": str(paddlejob.cpu) - }, - "limits": { - "memory": str(paddlejob.memory), - "cpu": str(paddlejob.cpu * 1.5) - } - } - }], - "restartPolicy": "Never" - } - } - } - } - if paddlejob.registry_secret: - job["spec"]["template"]["spec"].update({ - "imagePullSecrets": [{ - "name": paddlejob.registry_secret - }] - }) - if paddlejob.gpu > 0: - job["spec"]["template"]["spec"]["containers"][0]["resources"][ - "limits"]["alpha.kubernetes.io/nvidia-gpu"] = str(paddlejob.gpu) - return job diff --git a/python/paddlecloud/paddlejob/specs/spec_trainingjob.py b/python/paddlecloud/paddlejob/specs/spec_trainingjob.py deleted file mode 100644 index 5c0cc841..00000000 --- a/python/paddlecloud/paddlejob/specs/spec_trainingjob.py +++ /dev/null @@ -1,49 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import spec_trainer -import spec_pserver -import spec_master - - -def get_trainingjob(paddlejob): - trainer = spec_trainer.get_spec_trainer(paddlejob) - pserver = spec_pserver.get_spec_pserver(paddlejob) - master = spec_master.get_spec_master(paddlejob) - - spec = { - "apiVersion": "paddlepaddle.org/v1", - "kind": "TrainingJob", - "metadata": { - "name": paddlejob.name, - }, - "spec": { - "image": paddlejob.image, - "fault_tolerant": paddlejob.fault_tolerant, - "trainer": trainer["spec"], - "pservser": pserver["spec"], - "master": master["spec"] - } - } - - trainer["spec"]["min-instance"] = paddlejob.min_instance - trainer["spec"]["max-instance"] = paddlejob.max_instance - pserver["spec"]["min-instance"] = paddlejob.pservers - pserver["spec"]["max-instance"] = paddlejob.pservers - - if paddlejob.gpu > 0: - spec["spec"]["trainer"]["resources"]["limits"][ - "alpha.kubernetes.io/nvidia-gpu"] = str(paddlejob.gpu) - - return spec diff --git a/python/paddlecloud/paddlejob/tests/test_paddle_job.py b/python/paddlecloud/paddlejob/tests/test_paddle_job.py deleted file mode 100644 index 7f56db4d..00000000 --- a/python/paddlecloud/paddlejob/tests/test_paddle_job.py +++ /dev/null @@ -1,50 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import unittest -from paddle_job import PaddleJob - - -class PaddleJobTest(unittest.TestCase): - def __new_paddle_job(self): - return PaddleJob( - image="yancey1989/paddle-job", - name="paddle-job", - cpu=1, - memory="1Gi", - parallelism=3, - job_package="/example/word2vec", - pservers=3, - pscpu=1, - psmemory="1Gi", - topology="train.py", - volumes=[]) - - def test_runtime_image(self): - paddle_job = self.__new_paddle_job() - self.assertEqual(paddle_job.pservers, 3) - - def test_new_pserver_job(self): - paddle_job = self.__new_paddle_job() - pserver_job = paddle_job.new_pserver_job() - self.assertEqual(pserver_job["metadata"]["name"], "paddle-job-pserver") - - def test_new_trainer_job(self): - paddle_job = self.__new_paddle_job() - pserver_job = paddle_job.new_trainer_job() - self.assertEqual(pserver_job["metadata"]["name"], "paddle-job-trainer") - - -if __name__ == "__main__": - unittest.main() diff --git a/python/paddlecloud/paddlejob/tests/test_volume.py b/python/paddlecloud/paddlejob/tests/test_volume.py deleted file mode 100644 index f21144a4..00000000 --- a/python/paddlecloud/paddlejob/tests/test_volume.py +++ /dev/null @@ -1,37 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import unittest -from volume import get_volume_config - - -class GetVolumeConfigTest(unittest.TestCase): - def test_hostpath(self): - volume = get_volume_config( - fstype="hostpath", - name="abc", - mount_path="/pfs/dc1/home/yanxu05", - host_path="/mnt/hdfs_mulan") - self.assertEqual(volume["volume"]["name"], "abc") - - def test_cephfs(self): - volume = get_volume_config( - fstype="cephfs", - name="cephfs", - monitors_addr="192.168.2.1:6789,182.68.2.2:6789".split(","), - cephfs_path="/a/d", - user="admin", - secret="ceph-secret", - mount_path="/pfs/dc1/home/yanxu05") - self.assertEqual(volume["volume"]["name"], "cephfs") diff --git a/python/paddlecloud/paddlejob/utils.py b/python/paddlecloud/paddlejob/utils.py deleted file mode 100644 index 546a21e5..00000000 --- a/python/paddlecloud/paddlejob/utils.py +++ /dev/null @@ -1,37 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import json -import re -from rest_framework.authtoken.models import Token -from rest_framework import viewsets, generics, permissions -from rest_framework.response import Response -from rest_framework.views import APIView -import logging -first_cap_re = re.compile('(.)([A-Z][a-z]+)') -all_cap_re = re.compile('([a-z0-9])([A-Z])') - - -def simple_response(code, msg): - return Response({"code": code, "msg": msg}) - - -def error_message_response(msg): - logging.error("error: %s", msg) - return Response({"msg": msg}) - - -def convert_camel2snake(data): - s1 = first_cap_re.sub(r'\1_\2', name) - return all_cap_re.sub(r'\1_\2', s1).lower() diff --git a/python/paddlecloud/paddlejob/views.py b/python/paddlecloud/paddlejob/views.py deleted file mode 100644 index 70186183..00000000 --- a/python/paddlecloud/paddlejob/views.py +++ /dev/null @@ -1,401 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from django.http import HttpResponseRedirect, HttpResponse, JsonResponse, HttpResponseNotFound, HttpResponseForbidden -from django.contrib import messages -from django.conf import settings -from django.utils.encoding import smart_str -from django.contrib.auth.decorators import login_required -from kubernetes import client, config -from kubernetes.client.rest import ApiException -from . import PaddleJob -from rest_framework.authtoken.models import Token -from rest_framework import viewsets, generics, permissions -from rest_framework.response import Response -from rest_framework.views import APIView -from rest_framework.parsers import MultiPartParser, FormParser, FileUploadParser -import json -import utils -import notebook.utils -import logging -import os -import copy -from notebook.models import FilePublish -import uuid -from cloudprovider.k8s_provider import K8sProvider -from paddle_job import PaddleJob - - -def file_publish_view(request): - """ - view for download published files - """ - username = request.user.username - publish_uuid = request.GET.get("uuid") - if not publish_uuid: - return HttpResponseNotFound() - record = FilePublish.objects.get(uuid=publish_uuid) - if not record: - return HttpResponseNotFound() - # FIXME(typhoonzero): not support folder currently - if record.path.endswith("/"): - return HttpResponseNotFound() - - real_path = "/".join([settings.STORAGE_PATH] + record.path.split("/")[4:]) - logging.info("downloading file from: %s, record(%s)", real_path, - record.path) - - # mimetype is replaced by content_type for django 1.7 - response = HttpResponse( - open(real_path), content_type='application/force-download') - response[ - 'Content-Disposition'] = 'attachment; filename=%s' % os.path.basename( - record.path) - # It's usually a good idea to set the 'Content-Length' header too. - # You can also set any other required headers: Cache-Control, etc. - return response - - -class FilePublishAPIView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def get(self, request, format=None): - """ - return a list of published files for current user - """ - record = FilePublish.objects.filter(user=request.user) - file_list = [rec.path for rec in record] - url_list = [rec.url for rec in record] - return Response({"files": file_list, "urls": url_list}) - - def post(self, request, format=None): - """ - given a pfs path generate a uniq sharing url for the path - """ - post_body = json.loads(request.body) - file_path = post_body.get("path") - publish_uuid = uuid.uuid4() - publish_url = "http://%s/filepub/?uuid=%s" % ( - request.META["HTTP_HOST"], publish_uuid) - # save publish_url to mysql - publish_record = FilePublish() - publish_record.url = publish_url - publish_record.user = request.user - publish_record.path = file_path - publish_record.uuid = publish_uuid - publish_record.save() - return Response({"url": publish_url}) - - -def get_paddlejob(request): - username = request.user.username - obj = json.loads(request.body) - topology = obj.get("topology", "") - entry = obj.get("entry", "") - if not topology and not entry: - return utils.simple_response(500, "no topology or entry specified") - if not obj.get("datacenter"): - return utils.simple_response(500, "no datacenter specified") - cfgs = {} - dc = obj.get("datacenter") - # jobPackage validation: startwith /pfs - # NOTE: job packages are uploaded to /pfs/[dc]/home/[user]/jobs/[jobname] - job_name = obj.get("name", "paddle-cluster-job") - package_in_pod = os.path.join("/pfs/%s/home/%s" % (dc, username), "jobs", - job_name) - - logging.info("current package: %s", package_in_pod) - # package must be ready before submit a job - package_path_4test = package_in_pod.replace("/pfs/%s/home" % dc, - settings.STORAGE_PATH) - if not os.path.exists(package_path_4test): - package_path_4test = package_in_pod.replace("/pfs/%s/home/%s" % ( - dc, username), settings.STORAGE_PATH) - if not os.path.exists(package_path_4test): - return utils.error_message_response( - "package not exist in cloud: %s" % package_path_4test) - logging.info("current package in pod: %s", package_path_4test) - - envs = {} - envs.update({"PADDLE_CLOUD_CURRENT_DATACENTER": dc}) - envs.update({"PADDLE_CLOUD_USERNAME": username}) - # ===================== create PaddleJob instance ====================== - paddle_job = PaddleJob( - name=job_name, - job_package=package_in_pod, - parallelism=obj.get("parallelism", 1), - cpu=obj.get("cpu", 1), - memory=obj.get("memory", "1Gi"), - pservers=obj.get("pservers", 1), - pscpu=obj.get("pscpu", 1), - psmemory=obj.get("psmemory", "1Gi"), - topology=topology, - entry=entry, - gpu=obj.get("gpu", 0), - image=obj.get("image", None), - passes=obj.get("passes", 1), - registry_secret=obj.get("registry", None), - volumes=[], - envs=envs, - fault_tolerant=obj.get("faulttolerant", False), - min_instance=obj.get("min_instance", 1), - max_instance=obj.get("max_instance", 1), - etcd_image=settings.ETCD_IMAGE, - dc=dc) - - logging.info("return paddlejob") - return paddle_job - - -class TrainingJobsView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def get(self, request, format=None): - username = request.user.username - p = K8sProvider() - ret_dict = p.get_trainingjobs(username) - return Response(ret_dict) - - def post(self, request, format=None): - """ - Submit a trainingjobs. - """ - username = request.user.username - job = get_paddlejob(request) - p = K8sProvider() - try: - p.submit_trainingjobs(job, username) - except Exception, e: - return utils.error_message_response(str(e)) - - return utils.simple_response(200, "") - - def delete(self, request, format=None): - """ - Kill a trainingjobs. - """ - username = request.user.username - obj = json.loads(request.body) - jobname = obj.get("jobname") - - p = K8sProvider() - retcode, status = p.delete_trainingjobs(jobname, username) - return utils.simple_response(retcode, "\n".join(status)) - - -class JobsView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def get(self, request, format=None): - username = request.user.username - p = K8sProvider() - ret_dict = p.get_jobs(username) - return Response(ret_dict) - - def post(self, request, format=None): - """ - Submit the PaddlePaddle job - """ - # ========== submit master ReplicaSet if using fault_tolerant feature == - username = request.user.username - job = get_paddlejob(request) - p = K8sProvider() - try: - p.submit_job(job, username) - except Exception, e: - return utils.error_message_response(str(e)) - - return utils.simple_response(200, "") - - def delete(self, request, format=None): - """ - Kill a job - """ - username = request.user.username - obj = json.loads(request.body) - jobname = obj.get("jobname") - p = K8sProvider() - retcode, status = p.delete_job(jobname, username) - return utils.simple_response(retcode, "\n".join(status)) - - -class PserversView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def get(self, request, format=None): - """ - List all pservers - """ - username = request.user.username - p = K8sProvider() - return Response(p.get_pservers(username)) - - -class LogsView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def get(self, request, format=None): - username = request.user.username - jobname = request.query_params.get("jobname") - num_lines = request.query_params.get("n") - worker = request.query_params.get("w") - - total_job_log = K8sProvider().get_logs(jobname, num_lines, worker, - username) - return utils.simple_response(200, total_job_log) - - -class WorkersView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def get(self, request, format=None): - username = request.user.username - jobname = request.query_params.get("jobname") - ret = K8sProvider().get_workers(jobname, username) - return Response(ret) - - -class QuotaView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def get(self, request, format=None): - username = request.user.username - ret = K8sProvider().get_quotas(username) - return Response(ret) - - -class GetUserView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - - def get(self, request, format=None): - """ - Get user name - """ - content = { - 'user': - request.user.username, # `django.contrib.auth.User` instance. - } - return Response(content) - - -class SimpleFileView(APIView): - permission_classes = (permissions.IsAuthenticated, ) - parser_classes = ( - FormParser, - MultiPartParser, ) - - def __validate_path(self, request, file_path): - """ - returns error_msg. error_msg will be empty if there's no error. - """ - path_parts = file_path.split(os.path.sep) - - assert (path_parts[1] == "pfs") - assert (path_parts[2] in settings.DATACENTERS.keys()) - assert (path_parts[3] == "home") - assert (path_parts[4] == request.user.username) - - server_file = os.path.join(settings.STORAGE_PATH, - request.user.username, *path_parts[5:]) - - return server_file - - def get(self, request, format=None): - """ - Simple get file. - """ - file_path = request.query_params.get("path") - try: - write_file = self.__validate_path(request, file_path) - except Exception, e: - return utils.error_message_response("file path not valid: %s" % - str(e)) - - if not os.path.exists(os.sep + write_file): - return Response({"msg": "file not exist"}) - - response = HttpResponse( - open(write_file), content_type='application/force-download') - response[ - 'Content-Disposition'] = 'attachment; filename="%s"' % os.path.basename( - write_file) - - return response - - def post(self, request, format=None): - """ - Simple put file. - """ - file_obj = request.data['file'] - file_path = request.query_params.get("path") - if not file_path: - return utils.error_message_response("must specify path") - try: - write_file = self.__validate_path(request, file_path) - except Exception, e: - return utils.error_message_response("file path not valid: %s" % - str(e)) - - if not os.path.exists(os.path.dirname(write_file)): - try: - os.makedirs(os.path.dirname(write_file)) - except OSError as exc: # Guard against race condition - if exc.errno != errno.EEXIST: - raise - # FIXME: always overwrite package files - with open(write_file, "w") as fn: - while True: - data = file_obj.read(4096) - if not data: - break - fn.write(data) - - return Response({"msg": ""}) - - -class SimpleFileList(APIView): - permission_classes = (permissions.IsAuthenticated, ) - parser_classes = ( - FormParser, - MultiPartParser, ) - - def get(self, request, format=None): - """ - Simple list files. - """ - file_path = request.query_params.get("path") - dc = request.query_params.get("dc") - # validate list path must be under user's dir - path_parts = file_path.split(os.path.sep) - msg = "" - if len(path_parts) < 5: - msg = "path must like /pfs/[dc]/home/[user]" - else: - if path_parts[1] != "pfs": - msg = "path must start with /pfs" - if path_parts[2] not in settings.DATACENTERS.keys(): - msg = "no datacenter " + path_parts[2] - if path_parts[3] != "home": - msg = "path must like /pfs/[dc]/home/[user]" - if path_parts[4] != request.user.username: - msg = "not a valid user: " + path_parts[4] - if msg: - return Response({"msg": msg}) - - real_path = file_path.replace("/pfs/%s/home/%s" % ( - dc, request.user.username), "/pfs/%s" % request.user.username) - if not os.path.exists(real_path): - return Response({"msg": "dir not exist"}) - - return Response({"msg": "", "items": os.listdir(real_path)}) diff --git a/python/paddlecloud/requirements.txt b/python/paddlecloud/requirements.txt deleted file mode 100644 index 738ba382..00000000 --- a/python/paddlecloud/requirements.txt +++ /dev/null @@ -1,12 +0,0 @@ -django-user-accounts==2.0.1 -pinax-webanalytics==3.0.0 -pinax-eventlog==1.1.2 - -Django==1.11 -pinax-theme-bootstrap==8.0.1 - -kubernetes==2.0 -MySQL-python -djangorestframework -django_sendmail_backend -nodejs diff --git a/python/paddlecloud/static/STATIC_README.md b/python/paddlecloud/static/STATIC_README.md deleted file mode 100644 index 60388c94..00000000 --- a/python/paddlecloud/static/STATIC_README.md +++ /dev/null @@ -1,5 +0,0 @@ -# Static Media - -We are using `npm` for our static build process. - -Do NOT edit anything in the `dist/` directory. diff --git a/python/paddlecloud/static/src/js/index.js b/python/paddlecloud/static/src/js/index.js deleted file mode 100644 index 95ffb663..00000000 --- a/python/paddlecloud/static/src/js/index.js +++ /dev/null @@ -1,9 +0,0 @@ -/* global window */ -window.jQuery = window.$ = require('jquery'); - -const $ = window.$; - -require('bootstrap'); - -$(() => { -}); diff --git a/python/paddlecloud/static/src/less/account.less b/python/paddlecloud/static/src/less/account.less deleted file mode 100644 index a32f5b3d..00000000 --- a/python/paddlecloud/static/src/less/account.less +++ /dev/null @@ -1,9 +0,0 @@ -body.account-settings .account-settings, -body.account-certs .account-certs, -body.account-password .account-password, -body.account-delete .account-delete { - z-index: 2; // Place active items above their siblings for proper border styling - color: @list-group-active-color; - background-color: @list-group-active-bg; - border-color: @list-group-active-border; -} diff --git a/python/paddlecloud/static/src/less/custom.less b/python/paddlecloud/static/src/less/custom.less deleted file mode 100644 index e4e43cea..00000000 --- a/python/paddlecloud/static/src/less/custom.less +++ /dev/null @@ -1,29 +0,0 @@ -body { - padding-top: 50px; - position: relative; -} -section { - padding: 20px 0px; -} -.modal form { - margin-bottom: 0px; -} -footer { - padding-bottom: 20px; -} -p.login-signup { - margin-top: 20px; -} - -.feature-columns { - .make-row(); - - > div { - i.fa { - margin-bottom: 0.2em; - } - .make-sm-column(4); - .text-center; - margin: 2em 0; - } -} diff --git a/python/paddlecloud/static/src/less/site.less b/python/paddlecloud/static/src/less/site.less deleted file mode 100644 index 31a53fcf..00000000 --- a/python/paddlecloud/static/src/less/site.less +++ /dev/null @@ -1,12 +0,0 @@ -@import "bootstrap"; -@import "font-awesome"; - -@font-family-sans-serif: "Helvetica Neue", Helvetica, Arial, sans-serif; -@font-family-serif: Georgia, "Times New Roman", Times, serif; -@font-family-monospace: Menlo, Monaco, Consolas, "Courier New", monospace; - -// Account -@import "account.less"; - -// Site overrides -@import "custom.less"; diff --git a/python/paddlecloud/static/src/tests/browser.js b/python/paddlecloud/static/src/tests/browser.js deleted file mode 100644 index 368439c8..00000000 --- a/python/paddlecloud/static/src/tests/browser.js +++ /dev/null @@ -1,10 +0,0 @@ -var connect = require('connect'); -var http = require('http'); -var serveStatic = require('serve-static'); -var openPage = require('open'); - -var server = connect(); -server.use(serveStatic('./')); -http.createServer(server).listen(4001); - -openPage('http://localhost:4001/tests/'); diff --git a/python/paddlecloud/static/src/tests/fixtures.js b/python/paddlecloud/static/src/tests/fixtures.js deleted file mode 100644 index 942debde..00000000 --- a/python/paddlecloud/static/src/tests/fixtures.js +++ /dev/null @@ -1 +0,0 @@ -// test fixture data \ No newline at end of file diff --git a/python/paddlecloud/static/src/tests/index.html b/python/paddlecloud/static/src/tests/index.html deleted file mode 100644 index 5e17fdd3..00000000 --- a/python/paddlecloud/static/src/tests/index.html +++ /dev/null @@ -1,22 +0,0 @@ - - - - My Awesome App Tests - - - -
-
-
- - - - - - \ No newline at end of file diff --git a/python/paddlecloud/static/src/tests/index.js b/python/paddlecloud/static/src/tests/index.js deleted file mode 100644 index 59986d11..00000000 --- a/python/paddlecloud/static/src/tests/index.js +++ /dev/null @@ -1,12 +0,0 @@ -import { assert } from 'chai'; - -// jsdom-global is a no-op when browserified; -require('jsdom-global')(); -window.assert = assert; - -if (!document.getElementById('mocha')) { - document.body.innerHTML = '
'; -} - -// these need to stay a require() because imports are hoisted -require('./main'); \ No newline at end of file diff --git a/python/paddlecloud/static/src/tests/main.js b/python/paddlecloud/static/src/tests/main.js deleted file mode 100644 index 7bcc31be..00000000 --- a/python/paddlecloud/static/src/tests/main.js +++ /dev/null @@ -1 +0,0 @@ -import './spec/base'; \ No newline at end of file diff --git a/python/paddlecloud/static/src/tests/spec/base.js b/python/paddlecloud/static/src/tests/spec/base.js deleted file mode 100644 index e98dd288..00000000 --- a/python/paddlecloud/static/src/tests/spec/base.js +++ /dev/null @@ -1 +0,0 @@ -it('should run tests', () => {}); \ No newline at end of file diff --git a/python/paddlecloud/tox.ini b/python/paddlecloud/tox.ini deleted file mode 100644 index 721801fa..00000000 --- a/python/paddlecloud/tox.ini +++ /dev/null @@ -1,4 +0,0 @@ -[flake8] -ignore = E265,E501 -max-line-length = 100 -max-complexity = 10 diff --git a/python/paddlecloud/update.sh b/python/paddlecloud/update.sh deleted file mode 100755 index 2f67b7a7..00000000 --- a/python/paddlecloud/update.sh +++ /dev/null @@ -1,12 +0,0 @@ -( - git checkout account && git merge zero --no-edit - git checkout blog && git merge zero --no-edit - git checkout static && git merge zero --no-edit - git checkout company && git merge blog --no-edit - git checkout documents && git merge account --no-edit - git checkout social-auth && git merge account --no-edit - git checkout stripe && git merge account --no-edit - git checkout wiki && git merge account --no-edit - git checkout team-wiki && git merge wiki --no-edit - git checkout waitinglist && git merge zero --no-edit -)