-
Notifications
You must be signed in to change notification settings - Fork 656
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
* add more datasets * add more transform funcs * export interface * export datasets interface * auto format by CI * fix docs * skip test * support DistributedSampler * refine * add more transform function * fix err import * fix comment * refine * add more transform test * refactor dataloader test * refine * add ddp test * refine * refine * add ddp test case * skil test * add ddp test case * add test case * refine * rm ddp test * remove ddp test * auto format by CI * format * update api docs * add utils.rst * auto format by CI * fix ddp grad size Signed-off-by: daquexian <daquexian566@gmail.com> * remove print Signed-off-by: daquexian <daquexian566@gmail.com> * refine as comments * refine * auto format by CI * auto format by CI * refine * add ddp test * auto format by CI * rm test case * fix reshape Co-authored-by: oneflow-ci-bot <ci-bot@oneflow.org> Co-authored-by: daquexian <daquexian566@gmail.com> Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>
- Loading branch information
1 parent
3afdd83
commit 2ad6321
Showing
25 changed files
with
3,576 additions
and
173 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -20,6 +20,8 @@ OneFlow API Reference | |
linalg | ||
image | ||
optim | ||
utils | ||
|
||
|
||
|
||
Indices and tables | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,62 @@ | ||
oneflow.utils | ||
=================================== | ||
Utils | ||
---------------------------------- | ||
.. currentmodule:: oneflow.utils | ||
.. automodule:: oneflow.utils.data | ||
:members: DataLoader, | ||
Dataset, | ||
IterableDataset, | ||
TensorDataset, | ||
ConcatDataset, | ||
Subset, | ||
random_split, | ||
Sampler, | ||
SequentialSampler, | ||
RandomSampler, | ||
SubsetRandomSampler, | ||
BatchSampler | ||
|
||
.. currentmodule:: oneflow.utils | ||
.. automodule:: oneflow.utils.data.distributed | ||
:members: DistributedSampler | ||
|
||
.. currentmodule:: oneflow.utils | ||
.. automodule:: oneflow.utils.vision.datasets | ||
:members: MNIST, | ||
FashionMNIST, | ||
CIFAR10, | ||
CIFAR100, | ||
ImageNet, | ||
CocoCaptions, | ||
CocoDetection, | ||
VOCDetection, | ||
VOCSegmentation, | ||
DatasetFolder, | ||
ImageFolder | ||
|
||
.. currentmodule:: oneflow.utils | ||
.. automodule:: oneflow.utils.vision.transforms | ||
:members: Compose, | ||
ToTensor, | ||
PILToTensor, | ||
ConvertImageDtype, | ||
ToPILImage, | ||
Normalize, | ||
Resize, | ||
Scale, | ||
CenterCrop, | ||
Pad, | ||
Lambda, | ||
RandomTransforms, | ||
RandomApply, | ||
RandomOrder, | ||
RandomChoice, | ||
RandomCrop, | ||
RandomHorizontalFlip, | ||
RandomVerticalFlip, | ||
RandomResizedCrop, | ||
RandomSizedCrop, | ||
FiveCrop, | ||
TenCrop, | ||
InterpolationMode |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,148 @@ | ||
""" | ||
Copyright 2020 The OneFlow 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 oneflow as flow | ||
import oneflow.utils.vision.transforms as transforms | ||
|
||
|
||
def load_data_cifar10( | ||
batch_size, | ||
data_dir="./data-test/cifar10", | ||
download=True, | ||
transform=None, | ||
source_url=None, | ||
num_workers=0, | ||
): | ||
cifar10_train = flow.utils.vision.datasets.CIFAR10( | ||
root=data_dir, | ||
train=True, | ||
download=download, | ||
transform=transform, | ||
source_url=source_url, | ||
) | ||
cifar10_test = flow.utils.vision.datasets.CIFAR10( | ||
root=data_dir, | ||
train=False, | ||
download=download, | ||
transform=transform, | ||
source_url=source_url, | ||
) | ||
|
||
train_iter = flow.utils.data.DataLoader( | ||
cifar10_train, batch_size=batch_size, shuffle=True, num_workers=num_workers | ||
) | ||
test_iter = flow.utils.data.DataLoader( | ||
cifar10_test, batch_size=batch_size, shuffle=False, num_workers=num_workers | ||
) | ||
return train_iter, test_iter | ||
|
||
|
||
def load_data_mnist( | ||
batch_size, resize=None, root="./data/mnist", download=True, source_url=None | ||
): | ||
"""Download the MNIST dataset and then load into memory.""" | ||
root = os.path.expanduser(root) | ||
transformer = [] | ||
if resize: | ||
transformer += [transforms.Resize(resize)] | ||
transformer += [transforms.ToTensor()] | ||
transformer = transforms.Compose(transformer) | ||
|
||
mnist_train = flow.utils.vision.datasets.MNIST( | ||
root=root, | ||
train=True, | ||
transform=transformer, | ||
download=download, | ||
source_url=source_url, | ||
) | ||
mnist_test = flow.utils.vision.datasets.MNIST( | ||
root=root, | ||
train=False, | ||
transform=transformer, | ||
download=download, | ||
source_url=source_url, | ||
) | ||
train_iter = flow.utils.data.DataLoader(mnist_train, batch_size, shuffle=True) | ||
test_iter = flow.utils.data.DataLoader(mnist_test, batch_size, shuffle=False) | ||
return train_iter, test_iter | ||
|
||
|
||
def get_fashion_mnist_dataset( | ||
resize=None, root="./data-test/fashion-mnist", download=True, source_url=None, | ||
): | ||
root = os.path.expanduser(root) | ||
trans = [] | ||
if resize: | ||
trans.append(transforms.Resize(resize)) | ||
trans.append(transforms.ToTensor()) | ||
transform = transforms.Compose(trans) | ||
|
||
mnist_train = flow.utils.vision.datasets.FashionMNIST( | ||
root=root, | ||
train=True, | ||
transform=transform, | ||
download=download, | ||
source_url=source_url, | ||
) | ||
mnist_test = flow.utils.vision.datasets.FashionMNIST( | ||
root=root, | ||
train=False, | ||
transform=transform, | ||
download=download, | ||
source_url=source_url, | ||
) | ||
return mnist_train, mnist_test | ||
|
||
|
||
# reference: http://tangshusen.me/Dive-into-DL-PyTorch/#/chapter03_DL-basics/3.10_mlp-pytorch | ||
def load_data_fashion_mnist( | ||
batch_size, | ||
resize=None, | ||
root="./data-test/fashion-mnist", | ||
download=True, | ||
source_url=None, | ||
num_workers=0, | ||
): | ||
"""Download the Fashion-MNIST dataset and then load into memory.""" | ||
root = os.path.expanduser(root) | ||
trans = [] | ||
if resize: | ||
trans.append(transforms.Resize(resize)) | ||
trans.append(transforms.ToTensor()) | ||
transform = transforms.Compose(trans) | ||
|
||
mnist_train = flow.utils.vision.datasets.FashionMNIST( | ||
root=root, | ||
train=True, | ||
transform=transform, | ||
download=download, | ||
source_url=source_url, | ||
) | ||
mnist_test = flow.utils.vision.datasets.FashionMNIST( | ||
root=root, | ||
train=False, | ||
transform=transform, | ||
download=download, | ||
source_url=source_url, | ||
) | ||
|
||
train_iter = flow.utils.data.DataLoader( | ||
mnist_train, batch_size, shuffle=True, num_workers=num_workers | ||
) | ||
test_iter = flow.utils.data.DataLoader( | ||
mnist_test, batch_size, shuffle=False, num_workers=num_workers | ||
) | ||
return train_iter, test_iter |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.