From a1afb8b8b7dedc2f452a7b9280856d91446d793f Mon Sep 17 00:00:00 2001 From: "fr.branchaud-charron" Date: Wed, 1 Dec 2021 13:04:50 -0500 Subject: [PATCH] #161 update query size --- README.md | 2 +- baal/active/active_loop.py | 17 +- baal/utils/pytorch_lightning.py | 15 +- experiments/mlp_mcdropout.py | 2 +- experiments/mlp_regression_mcdropout.py | 2 +- experiments/nlp_bert_mcdropout.py | 4 +- .../active_image_classification.py | 2 +- .../segmentation/unet_mcdropout_pascal.py | 4 +- .../pimodel_mcdropout_cifar10.py | 2 +- experiments/vgg_mcdropout_cifar10.py | 8 +- .../compatibility/pytorch_lightning.ipynb | 2 +- .../compatibility/sklearn_tutorial.ipynb | 4 +- poetry.lock | 2156 ++++++++++------- pyproject.toml | 4 +- tests/active/active_loop_test.py | 8 +- tests/integration_test.py | 2 +- tests/utils/test_pytorch_lightning.py | 2 +- 17 files changed, 1293 insertions(+), 943 deletions(-) diff --git a/README.md b/README.md index 91306c68..ebaa5a74 100644 --- a/README.md +++ b/README.md @@ -96,7 +96,7 @@ model = ModelWrapper(model, your_criterion) active_loop = ActiveLearningLoop(dataset, get_probabilities=model.predict_on_dataset, heuristic=heuristics.BALD(shuffle_prop=0.1), - ndata_to_label=NDATA_TO_LABEL) + query_size=NDATA_TO_LABEL) for al_step in range(N_ALSTEP): model.train_on_dataset(dataset, optimizer, BATCH_SIZE, use_cuda=use_cuda) if not active_loop.step(): diff --git a/baal/active/active_loop.py b/baal/active/active_loop.py index 3cd0bdfa..041b821b 100644 --- a/baal/active/active_loop.py +++ b/baal/active/active_loop.py @@ -1,14 +1,17 @@ import os import pickle import types +import warnings from typing import Callable import numpy as np +import structlog import torch.utils.data as torchdata from . import heuristics from .dataset import ActiveLearningDataset +log = structlog.get_logger(__name__) pjoin = os.path.join @@ -20,7 +23,7 @@ class ActiveLearningLoop: get_probabilities (Function): Dataset -> **kwargs -> ndarray [n_samples, n_outputs, n_iterations]. heuristic (Heuristic): Heuristic from baal.active.heuristics. - ndata_to_label (int): Number of sample to label per step. + query_size (int): Number of sample to label per step. max_sample (int): Limit the number of sample used (-1 is no limit). uncertainty_folder (Optional[str]): If provided, will store uncertainties on disk. **kwargs: Parameters forwarded to `get_probabilities`. @@ -31,12 +34,18 @@ def __init__( dataset: ActiveLearningDataset, get_probabilities: Callable, heuristic: heuristics.AbstractHeuristic = heuristics.Random(), - ndata_to_label: int = 1, + query_size: int = 1, max_sample=-1, uncertainty_folder=None, + ndata_to_label=None, **kwargs, ) -> None: - self.ndata_to_label = ndata_to_label + if ndata_to_label is not None: + warnings.warn( + "`ndata_to_label` is deprecated, please use `query_size`.", DeprecationWarning + ) + query_size = ndata_to_label + self.query_size = query_size self.get_probabilities = get_probabilities self.heuristic = heuristic self.dataset = dataset @@ -88,6 +97,6 @@ def step(self, pool=None) -> bool: open(pjoin(self.uncertainty_folder, uncertainty_name), "wb"), ) if len(to_label) > 0: - self.dataset.label(to_label[: self.ndata_to_label]) + self.dataset.label(to_label[: self.query_size]) return True return False diff --git a/baal/utils/pytorch_lightning.py b/baal/utils/pytorch_lightning.py index 17848eb4..d008f0bd 100644 --- a/baal/utils/pytorch_lightning.py +++ b/baal/utils/pytorch_lightning.py @@ -1,5 +1,6 @@ import sys import types +import warnings from collections.abc import Sequence from typing import Dict, Any, Optional @@ -19,6 +20,12 @@ log = structlog.get_logger("PL testing") +warnings.warn( + "baal.utils.pytorch_lightning is deprecated. BaaL is now integrated into Lightning Flash!" + " Please see experiments/pytorch_lightning/lightning_flash_example.py for a new tutorial!", + DeprecationWarning, +) + class BaaLDataModule(LightningDataModule): def __init__(self, active_dataset: ActiveLearningDataset, batch_size=1, **kwargs): @@ -99,7 +106,7 @@ class BaalTrainer(Trainer): Args: dataset (ActiveLearningDataset): Dataset with some sample already labelled. heuristic (Heuristic): Heuristic from baal.active.heuristics. - ndata_to_label (int): Number of sample to label per step. + query_size (int): Number of sample to label per step. max_sample (int): Limit the number of sample used (-1 is no limit). **kwargs: Parameters forwarded to `get_probabilities` and to pytorch_ligthning Trainer.__init__ @@ -109,12 +116,12 @@ def __init__( self, dataset: ActiveLearningDataset, heuristic: heuristics.AbstractHeuristic = heuristics.Random(), - ndata_to_label: int = 1, + query_size: int = 1, **kwargs ) -> None: super().__init__(**kwargs) - self.ndata_to_label = ndata_to_label + self.query_size = query_size self.heuristic = heuristic self.dataset = dataset self.kwargs = kwargs @@ -194,6 +201,6 @@ def step(self, model=None, datamodule: Optional[BaaLDataModule] = None) -> bool: if probs is not None and (isinstance(probs, types.GeneratorType) or len(probs) > 0): to_label = self.heuristic(probs) if len(to_label) > 0: - self.dataset.label(to_label[: self.ndata_to_label]) + self.dataset.label(to_label[: self.query_size]) return True return False diff --git a/experiments/mlp_mcdropout.py b/experiments/mlp_mcdropout.py index 17bc32b9..e6ffc7cf 100644 --- a/experiments/mlp_mcdropout.py +++ b/experiments/mlp_mcdropout.py @@ -44,7 +44,7 @@ dataset=al_dataset, get_probabilities=wrapper.predict_on_dataset, heuristic=bald, - ndata_to_label=100, # We will label 100 examples per step. + query_size=100, # We will label 100 examples per step. # KWARGS for predict_on_dataset iterations=20, # 20 sampling for MC-Dropout batch_size=32, diff --git a/experiments/mlp_regression_mcdropout.py b/experiments/mlp_regression_mcdropout.py index cbe1afb2..0a8b2052 100644 --- a/experiments/mlp_regression_mcdropout.py +++ b/experiments/mlp_regression_mcdropout.py @@ -84,7 +84,7 @@ def __getitem__(self, item): dataset=al_dataset, get_probabilities=wrapper.predict_on_dataset, heuristic=variance, - ndata_to_label=250, # We will label 20 examples per step. + query_size=250, # We will label 20 examples per step. # KWARGS for predict_on_dataset iterations=20, # 20 sampling for MC-Dropout batch_size=16, diff --git a/experiments/nlp_bert_mcdropout.py b/experiments/nlp_bert_mcdropout.py index 8f9ca81b..298908ca 100644 --- a/experiments/nlp_bert_mcdropout.py +++ b/experiments/nlp_bert_mcdropout.py @@ -30,7 +30,7 @@ def parse_args(): parser.add_argument("--batch_size", default=32, type=int) parser.add_argument("--initial_pool", default=1000, type=int) parser.add_argument("--model", default="bert-base-uncased", type=str) - parser.add_argument("--n_data_to_label", default=100, type=int) + parser.add_argument("--query_size", default=100, type=int) parser.add_argument("--heuristic", default="bald", type=str) parser.add_argument("--iterations", default=20, type=int) parser.add_argument("--shuffle_prop", default=0.05, type=float) @@ -112,7 +112,7 @@ def main(): active_set, model.predict_on_dataset, heuristic, - hyperparams.get("n_data_to_label", 1), + hyperparams.get("query_size", 1), iterations=hyperparams["iterations"], ) diff --git a/experiments/pytorch_lightning/active_image_classification.py b/experiments/pytorch_lightning/active_image_classification.py index aede6495..0480ca05 100644 --- a/experiments/pytorch_lightning/active_image_classification.py +++ b/experiments/pytorch_lightning/active_image_classification.py @@ -153,7 +153,7 @@ def main(): max_epochs=args.training_duration, logger=logger, heuristic=heuristic, - ndata_to_label=args.query_size, + query_size=args.query_size, ) AL_STEPS = 100 diff --git a/experiments/segmentation/unet_mcdropout_pascal.py b/experiments/segmentation/unet_mcdropout_pascal.py index 3a7c0163..84d4ee00 100644 --- a/experiments/segmentation/unet_mcdropout_pascal.py +++ b/experiments/segmentation/unet_mcdropout_pascal.py @@ -39,7 +39,7 @@ def parse_args(): parser.add_argument("--al_step", default=200, type=int) parser.add_argument("--batch_size", default=8, type=int) parser.add_argument("--initial_pool", default=40, type=int) - parser.add_argument("--n_data_to_label", default=20, type=int) + parser.add_argument("--query_size", default=20, type=int) parser.add_argument("--lr", default=0.001) parser.add_argument("--heuristic", default="random", type=str) parser.add_argument("--reduce", default="sum", type=str) @@ -134,7 +134,7 @@ def main(): active_set, model.predict_on_dataset_generator, heuristic=heuristic, - ndata_to_label=hyperparams["n_data_to_label"], + query_size=hyperparams["query_size"], # Instead of predicting on the entire pool, only a subset is used max_sample=1000, batch_size=batch_size, diff --git a/experiments/ssl_experiments/pimodel_mcdropout_cifar10.py b/experiments/ssl_experiments/pimodel_mcdropout_cifar10.py index b2d1347e..5da5c146 100644 --- a/experiments/ssl_experiments/pimodel_mcdropout_cifar10.py +++ b/experiments/ssl_experiments/pimodel_mcdropout_cifar10.py @@ -100,7 +100,7 @@ def add_model_specific_args(parent_parser): callbacks=[ResetCallback(copy.deepcopy(model.state_dict()))], dataset=active_set, heuristic=heuristic, - ndata_to_label=params.query_size, + query_size=params.query_size, ) AL_STEPS = 2000 diff --git a/experiments/vgg_mcdropout_cifar10.py b/experiments/vgg_mcdropout_cifar10.py index e6b02a9c..f7696fdc 100644 --- a/experiments/vgg_mcdropout_cifar10.py +++ b/experiments/vgg_mcdropout_cifar10.py @@ -12,8 +12,8 @@ from torchvision.transforms import transforms from tqdm import tqdm -from baal import get_heuristic, ActiveLearningDataset -from baal import ActiveLearningLoop +from baal.active import get_heuristic, ActiveLearningDataset +from baal.active.active_loop import ActiveLearningLoop from baal.bayesian.dropout import patch_module from baal import ModelWrapper @@ -27,7 +27,7 @@ def parse_args(): parser.add_argument("--epoch", default=100, type=int) parser.add_argument("--batch_size", default=32, type=int) parser.add_argument("--initial_pool", default=1000, type=int) - parser.add_argument("--n_data_to_label", default=100, type=int) + parser.add_argument("--query_size", default=100, type=int) parser.add_argument("--lr", default=0.001) parser.add_argument("--heuristic", default="bald", type=str) parser.add_argument("--iterations", default=20, type=int) @@ -107,7 +107,7 @@ def main(): active_set, model.predict_on_dataset, heuristic, - hyperparams.get("n_data_to_label", 1), + hyperparams.get("query_size", 1), batch_size=10, iterations=hyperparams["iterations"], use_cuda=use_cuda, diff --git a/notebooks/compatibility/pytorch_lightning.ipynb b/notebooks/compatibility/pytorch_lightning.ipynb index 35deda1c..51ef1d4a 100644 --- a/notebooks/compatibility/pytorch_lightning.ipynb +++ b/notebooks/compatibility/pytorch_lightning.ipynb @@ -246,7 +246,7 @@ "source": [ "trainer = BaalTrainer(dataset=data_module.active_dataset,\n", " heuristic=heuristic,\n", - " ndata_to_label=hparams.query_size,\n", + " query_size=hparams.query_size,\n", " max_epochs=10, default_root_dir=hparams.data_root,\n", " gpus=hparams.gpus,\n", " callbacks=[ResetCallback(copy.deepcopy(model.state_dict()))])" diff --git a/notebooks/compatibility/sklearn_tutorial.ipynb b/notebooks/compatibility/sklearn_tutorial.ipynb index 306000e8..f227082c 100644 --- a/notebooks/compatibility/sklearn_tutorial.ipynb +++ b/notebooks/compatibility/sklearn_tutorial.ipynb @@ -261,9 +261,9 @@ " print(\"Test Accuracy :: \", accuracy_score(test_y, predictions))\n", " probs = predict(dataset.pool, clf)\n", " to_label = heuristic(probs)\n", - " ndata_to_label = 10\n", + " query_size = 10\n", " if len(to_label) > 0:\n", - " dataset.label(to_label[: ndata_to_label])\n", + " dataset.label(to_label[: query_size])\n", " else:\n", " break" ], diff --git a/poetry.lock b/poetry.lock index d874c544..a05996e1 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,32 +1,46 @@ [[package]] name = "absl-py" -version = "0.13.0" +version = "1.0.0" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." -category = "main" +category = "dev" optional = false -python-versions = "*" +python-versions = ">=3.6" [package.dependencies] six = "*" [[package]] name = "aiohttp" -version = "3.7.4.post0" +version = "3.8.1" description = "Async http client/server framework (asyncio)" category = "main" optional = false python-versions = ">=3.6" [package.dependencies] -async-timeout = ">=3.0,<4.0" +aiosignal = ">=1.1.2" +async-timeout = ">=4.0.0a3,<5.0" +asynctest = {version = "0.13.0", markers = "python_version < \"3.8\""} attrs = ">=17.3.0" -chardet = ">=2.0,<5.0" +charset-normalizer = ">=2.0,<3.0" +frozenlist = ">=1.1.1" multidict = ">=4.5,<7.0" -typing-extensions = ">=3.6.5" +typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""} yarl = ">=1.0,<2.0" [package.extras] -speedups = ["aiodns", "brotlipy", "cchardet"] +speedups = ["aiodns", "brotli", "cchardet"] + +[[package]] +name = "aiosignal" +version = "1.2.0" +description = "aiosignal: a list of registered asynchronous callbacks" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +frozenlist = ">=1.1.0" [[package]] name = "alabaster" @@ -87,11 +101,22 @@ sphinx = "*" [[package]] name = "async-timeout" -version = "3.0.1" +version = "4.0.1" description = "Timeout context manager for asyncio programs" category = "main" optional = false -python-versions = ">=3.5.3" +python-versions = ">=3.6" + +[package.dependencies] +typing-extensions = ">=3.6.5" + +[[package]] +name = "asynctest" +version = "0.13.0" +description = "Enhance the standard unittest package with features for testing asyncio libraries" +category = "main" +optional = false +python-versions = ">=3.5" [[package]] name = "atomicwrites" @@ -150,7 +175,7 @@ stevedore = ">=1.20.0" [[package]] name = "black" -version = "21.9b0" +version = "21.11b1" description = "The uncompromising code formatter." category = "dev" optional = false @@ -161,16 +186,16 @@ click = ">=7.1.2" mypy-extensions = ">=0.4.3" pathspec = ">=0.9.0,<1" platformdirs = ">=2" -regex = ">=2020.1.8" +regex = ">=2021.4.4" tomli = ">=0.2.6,<2.0.0" -typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\""} +typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""} typing-extensions = ">=3.10.0.0" [package.extras] colorama = ["colorama (>=0.4.3)"] -d = ["aiohttp (>=3.6.0)", "aiohttp-cors (>=0.4.0)"] +d = ["aiohttp (>=3.7.4)"] jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] -python2 = ["typed-ast (>=1.4.2)"] +python2 = ["typed-ast (>=1.4.3)"] uvloop = ["uvloop (>=0.15.2)"] [[package]] @@ -196,15 +221,15 @@ python-versions = "*" [[package]] name = "cachetools" -version = "4.2.2" +version = "4.2.4" description = "Extensible memoizing collections and decorators" -category = "main" +category = "dev" optional = false python-versions = "~=3.5" [[package]] name = "certifi" -version = "2021.5.30" +version = "2021.10.8" description = "Python package for providing Mozilla's CA Bundle." category = "main" optional = false @@ -212,7 +237,7 @@ python-versions = "*" [[package]] name = "cffi" -version = "1.14.6" +version = "1.15.0" description = "Foreign Function Interface for Python calling C code." category = "dev" optional = false @@ -221,17 +246,9 @@ python-versions = "*" [package.dependencies] pycparser = "*" -[[package]] -name = "chardet" -version = "4.0.0" -description = "Universal encoding detector for Python 2 and 3" -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" - [[package]] name = "charset-normalizer" -version = "2.0.6" +version = "2.0.8" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." category = "main" optional = false @@ -242,7 +259,7 @@ unicode_backport = ["unicodedata2"] [[package]] name = "click" -version = "8.0.1" +version = "8.0.3" description = "Composable command line interface toolkit" category = "main" optional = false @@ -273,30 +290,27 @@ test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"] [[package]] name = "coverage" -version = "5.5" +version = "6.2" description = "Code coverage measurement for Python" category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4" +python-versions = ">=3.6" [package.extras] -toml = ["toml"] +toml = ["tomli"] [[package]] name = "cycler" -version = "0.10.0" +version = "0.11.0" description = "Composable style cycles" category = "main" optional = false -python-versions = "*" - -[package.dependencies] -six = "*" +python-versions = ">=3.6" [[package]] name = "datasets" -version = "1.12.1" -description = "HuggingFace/Datasets is an open library of NLP datasets." +version = "1.16.1" +description = "HuggingFace community-driven open-source library of datasets" category = "main" optional = true python-versions = "*" @@ -305,32 +319,33 @@ python-versions = "*" aiohttp = "*" dill = "*" fsspec = {version = ">=2021.05.0", extras = ["http"]} -huggingface-hub = ">=0.0.14,<0.1.0" +huggingface-hub = ">=0.1.0,<1.0.0" importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} multiprocess = "*" numpy = ">=1.17" packaging = "*" pandas = "*" -pyarrow = ">=1.0.0,<4.0.0 || >4.0.0" +pyarrow = ">=3.0.0,<4.0.0 || >4.0.0" requests = ">=2.19.0" tqdm = ">=4.62.1" xxhash = "*" [package.extras] apache-beam = ["apache-beam (>=2.26.0)"] +audio = ["librosa"] benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"] -dev = ["absl-py", "pytest", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "faiss-cpu", "fsspec", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3)", "torch", "transformers", "bs4", "conllu", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (==21.4b0)", "flake8 (==3.7.9)", "isort", "pyyaml (>=5.3.1)", "importlib-resources"] -docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser"] -quality = ["black (==21.4b0)", "flake8 (==3.7.9)", "isort", "pyyaml (>=5.3.1)"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "transformers", "bs4", "conllu", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (==21.4b0)", "flake8 (==3.7.9)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] +docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"] +quality = ["black (==21.4b0)", "flake8 (==3.7.9)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] s3 = ["fsspec", "boto3", "botocore", "s3fs"] -tensorflow = ["tensorflow (>=2.2.0)"] -tensorflow_gpu = ["tensorflow-gpu (>=2.2.0)"] -tests = ["absl-py", "pytest", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "faiss-cpu", "fsspec", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3)", "torch", "transformers", "bs4", "conllu", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] +tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"] +tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "transformers", "bs4", "conllu", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] torch = ["torch"] [[package]] name = "debugpy" -version = "1.4.3" +version = "1.5.1" description = "An implementation of the Debug Adapter Protocol for Python" category = "dev" optional = false @@ -365,9 +380,9 @@ graph = ["objgraph (>=1.7.2)"] [[package]] name = "docstring-parser" -version = "0.12" +version = "0.13" description = "\"Parse Python docstrings in reST, Google and Numpydoc format\"" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -386,7 +401,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" name = "efficientnet-pytorch" version = "0.6.3" description = "EfficientNet implemented in PyTorch." -category = "main" +category = "dev" optional = false python-versions = ">=3.5.0" @@ -403,11 +418,15 @@ python-versions = ">=2.7" [[package]] name = "filelock" -version = "3.0.12" +version = "3.4.0" description = "A platform independent file lock." category = "main" optional = true -python-versions = "*" +python-versions = ">=3.6" + +[package.extras] +docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"] +testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"] [[package]] name = "flake8" @@ -423,9 +442,38 @@ mccabe = ">=0.6.0,<0.7.0" pycodestyle = ">=2.7.0,<2.8.0" pyflakes = ">=2.3.0,<2.4.0" +[[package]] +name = "fonttools" +version = "4.28.2" +description = "Tools to manipulate font files" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.extras] +all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=13.0.0)", "xattr"] +graphite = ["lz4 (>=1.7.4.2)"] +interpolatable = ["scipy", "munkres"] +lxml = ["lxml (>=4.0,<5)"] +pathops = ["skia-pathops (>=0.5.0)"] +plot = ["matplotlib"] +symfont = ["sympy"] +type1 = ["xattr"] +ufo = ["fs (>=2.2.0,<3)"] +unicode = ["unicodedata2 (>=13.0.0)"] +woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"] + +[[package]] +name = "frozenlist" +version = "1.2.0" +description = "A list-like structure which implements collections.abc.MutableSequence" +category = "main" +optional = false +python-versions = ">=3.6" + [[package]] name = "fsspec" -version = "2021.11.0" +version = "2021.11.1" description = "File-system specification" category = "main" optional = false @@ -461,7 +509,7 @@ ssh = ["paramiko"] name = "future" version = "0.18.2" description = "Clean single-source support for Python 3 and 2" -category = "main" +category = "dev" optional = false python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" @@ -490,9 +538,9 @@ typing-extensions = {version = ">=3.7.4.3", markers = "python_version < \"3.10\" [[package]] name = "google-auth" -version = "1.35.0" +version = "2.3.3" description = "Google Authentication Library" -category = "main" +category = "dev" optional = false python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*" @@ -511,7 +559,7 @@ reauth = ["pyu2f (>=0.1.5)"] name = "google-auth-oauthlib" version = "0.4.6" description = "Google Authentication Library" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -524,21 +572,21 @@ tool = ["click (>=6.0.0)"] [[package]] name = "grpcio" -version = "1.40.0" +version = "1.42.0" description = "HTTP/2-based RPC framework" -category = "main" +category = "dev" optional = false -python-versions = "*" +python-versions = ">=3.6" [package.dependencies] six = ">=1.5.2" [package.extras] -protobuf = ["grpcio-tools (>=1.40.0)"] +protobuf = ["grpcio-tools (>=1.42.0)"] [[package]] name = "h5py" -version = "3.4.0" +version = "3.6.0" description = "Read and write HDF5 files from Python" category = "main" optional = false @@ -546,15 +594,11 @@ python-versions = ">=3.7" [package.dependencies] cached-property = {version = "*", markers = "python_version < \"3.8\""} -numpy = [ - {version = ">=1.14.5", markers = "python_version == \"3.7\""}, - {version = ">=1.17.5", markers = "python_version == \"3.8\""}, - {version = ">=1.19.3", markers = "python_version >= \"3.9\""}, -] +numpy = ">=1.14.5" [[package]] name = "huggingface-hub" -version = "0.0.17" +version = "0.1.2" description = "Client library to download and publish models on the huggingface.co hub" category = "main" optional = true @@ -564,14 +608,16 @@ python-versions = ">=3.6.0" filelock = "*" importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} packaging = ">=20.9" +pyyaml = "*" requests = "*" tqdm = "*" -typing-extensions = "*" +typing-extensions = ">=3.7.4.3" [package.extras] all = ["pytest", "datasets", "black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] dev = ["pytest", "datasets", "black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] quality = ["black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] +tensorflow = ["tensorflow"] testing = ["pytest", "datasets"] torch = ["torch"] @@ -599,7 +645,7 @@ pytz = ["pytz (>=2014.1)"] [[package]] name = "idna" -version = "3.2" +version = "3.3" description = "Internationalized Domain Names in Applications (IDNA)" category = "main" optional = false @@ -607,7 +653,7 @@ python-versions = ">=3.5" [[package]] name = "imagesize" -version = "1.2.0" +version = "1.3.0" description = "Getting image size from png/jpeg/jpeg2000/gif file" category = "dev" optional = false @@ -615,7 +661,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [[package]] name = "importlib-metadata" -version = "4.8.1" +version = "4.8.2" description = "Read metadata from Python packages" category = "main" optional = false @@ -628,7 +674,22 @@ zipp = ">=0.5" [package.extras] docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"] perf = ["ipython"] -testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"] +testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"] + +[[package]] +name = "importlib-resources" +version = "5.4.0" +description = "Read resources from Python packages" +category = "dev" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""} + +[package.extras] +docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"] +testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-black (>=0.3.7)", "pytest-mypy"] [[package]] name = "iniconfig" @@ -640,7 +701,7 @@ python-versions = "*" [[package]] name = "ipykernel" -version = "6.4.1" +version = "6.6.0" description = "IPython Kernel for Jupyter" category = "dev" optional = false @@ -651,19 +712,18 @@ appnope = {version = "*", markers = "platform_system == \"Darwin\""} argcomplete = {version = ">=1.12.3", markers = "python_version < \"3.8.0\""} debugpy = ">=1.0.0,<2.0" importlib-metadata = {version = "<5", markers = "python_version < \"3.8.0\""} -ipython = ">=7.23.1,<8.0" -ipython-genutils = "*" +ipython = ">=7.23.1" jupyter-client = "<8.0" matplotlib-inline = ">=0.1.0,<0.2.0" tornado = ">=4.2,<7.0" -traitlets = ">=4.1.0,<6.0" +traitlets = ">=5.1.0,<6.0" [package.extras] -test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "ipyparallel"] +test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "ipyparallel"] [[package]] name = "ipython" -version = "7.27.0" +version = "7.30.0" description = "IPython: Productive Interactive Computing" category = "dev" optional = false @@ -723,7 +783,7 @@ test = ["pytest (>=3.6.0)", "pytest-cov", "mock"] [[package]] name = "jedi" -version = "0.18.0" +version = "0.18.1" description = "An autocompletion tool for Python that can be used for text editors." category = "dev" optional = false @@ -734,11 +794,11 @@ parso = ">=0.8.0,<0.9.0" [package.extras] qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] -testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"] +testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<7.0.0)"] [[package]] name = "jinja2" -version = "3.0.1" +version = "3.0.3" description = "A very fast and expressive template engine." category = "dev" optional = false @@ -752,7 +812,7 @@ i18n = ["Babel (>=2.7)"] [[package]] name = "joblib" -version = "1.0.1" +version = "1.1.0" description = "Lightweight pipelining with Python functions" category = "main" optional = false @@ -760,9 +820,9 @@ python-versions = ">=3.6" [[package]] name = "jsonargparse" -version = "4.0.2" +version = "4.0.4" description = "Parsing of command line options, yaml/jsonnet config files and/or environment variables based on argparse." -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -789,25 +849,25 @@ urls = ["validators (>=0.14.2)", "requests (>=2.18.4)"] [[package]] name = "jsonschema" -version = "3.2.0" +version = "4.2.1" description = "An implementation of JSON Schema validation for Python" category = "dev" optional = false -python-versions = "*" +python-versions = ">=3.7" [package.dependencies] attrs = ">=17.4.0" importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} -pyrsistent = ">=0.14.0" -six = ">=1.11.0" +importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""} +pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2" [package.extras] -format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors"] -format_nongpl = ["idna", "jsonpointer (>1.13)", "webcolors", "rfc3986-validator (>0.1.0)", "rfc3339-validator"] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format_nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"] [[package]] name = "jupyter-client" -version = "7.0.3" +version = "7.1.0" description = "Jupyter protocol implementation and client libraries" category = "dev" optional = false @@ -828,7 +888,7 @@ test = ["codecov", "coverage", "ipykernel", "ipython", "mock", "mypy", "pre-comm [[package]] name = "jupyter-core" -version = "4.8.1" +version = "4.9.1" description = "Jupyter core package. A base package on which Jupyter projects rely." category = "dev" optional = false @@ -884,7 +944,7 @@ python-versions = ">=3.7" name = "kornia" version = "0.5.3" description = "Open Source Differentiable Computer Vision Library for PyTorch" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -896,7 +956,7 @@ torch = ">=1.6.0" name = "lightning-bolts" version = "0.4.0" description = "PyTorch Lightning Bolts is a community contribution for ML researchers." -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -917,7 +977,7 @@ test = ["codecov (>=2.1)", "pytest (>=6.0)", "pytest-cov (>2.10)", "flake8", "ch name = "lightning-flash" version = "0.6.0.dev0" description = "Flash is a framework for fast prototyping, finetuning, and solving most standard deep learning challenges" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" develop = false @@ -941,39 +1001,39 @@ torchmetrics = ">=0.5.0,<0.5.1 || >0.5.1" torchvision = {version = "*", optional = true, markers = "extra == \"image\""} [package.extras] -all = ["Pillow (>=7.2)", "pystiche (>=1.0.0,<2.0.0)", "torchmetrics[text] (>=0.5.1)", "filelock", "kornia (>=0.5.1,<0.5.4)", "torchvision", "lightning-bolts (>=0.3.3)", "transformers (>=4.5)", "pytorch-tabnet (==3.1)", "segmentation-models-pytorch", "pytorchvideo (==0.1.2)", "scikit-learn", "datasets (>=1.8,<1.13)", "sentencepiece (>=0.1.95)", "pytorch-forecasting", "timm (>=0.4.5)"] -audio = ["datasets (>=1.8)", "torchaudio", "transformers (>=4.5)", "librosa (>=0.8.1)"] -dev = ["torch-optimizer", "nbsphinx (>=0.8)", "pystiche (>=1.0.0,<2.0.0)", "filelock", "kornia (>=0.5.1,<0.5.4)", "codecov (>=2.1)", "sphinx-copybutton (>=0.3)", "flake8", "sphinx-autodoc-typehints (>=1.0)", "segmentation-models-pytorch", "pytest-mock", "sentencepiece (>=0.1.95)", "m2r", "sphinx (>=4.0,<4.1)", "pytorchvideo (==0.1.2)", "check-manifest", "pre-commit", "sphinx-paramlinks (>=0.5.1)", "sphinxcontrib-fulltoc (>=1.0)", "pytorch-tabnet (==3.1)", "recommonmark", "pytorch-forecasting", "torchvision", "pytest-flake8", "pandoc (>=1.0)", "datasets (>=1.8,<1.13)", "sphinx-togglebutton (>=0.2)", "isort", "twine (==3.2)", "pytest (>=5.0)", "Pillow (>=7.2)", "docutils (>=0.16,<0.18)", "torchmetrics[text] (>=0.5.1)", "lightning-bolts (>=0.3.3)", "transformers (>=4.5)", "jinja2", "scikit-learn", "coverage", "sphinxcontrib-mockautodoc", "timm (>=0.4.5)"] -docs = ["nbsphinx (>=0.8)", "docutils (>=0.16,<0.18)", "sphinx-paramlinks (>=0.5.1)", "sphinx-copybutton (>=0.3)", "pandoc (>=1.0)", "sphinxcontrib-fulltoc (>=1.0)", "sphinx-autodoc-typehints (>=1.0)", "recommonmark", "jinja2", "sphinx-togglebutton (>=0.2)", "sphinxcontrib-mockautodoc", "m2r", "sphinx (>=4.0,<4.1)"] -graph = ["networkx", "torch-geometric (>=2.0.0)", "torch-sparse", "torch-scatter", "torch-cluster"] -image = ["Pillow (>=7.2)", "pystiche (>=1.0.0,<2.0.0)", "kornia (>=0.5.1,<0.5.4)", "torchvision", "lightning-bolts (>=0.3.3)", "segmentation-models-pytorch", "timm (>=0.4.5)"] -image_extras = ["icevision (>=0.8)", "pystiche (>=1.0.0,<2.0.0)", "kornia (>=0.5.1,<0.5.4)", "segmentation-models-pytorch", "structlog (==21.1.0)", "fairscale", "icedata", "fastface", "albumentations", "torchvision", "learn2learn", "effdet", "fiftyone", "vissl (>=0.1.5)", "Pillow (>=7.2)", "classy-vision", "baal", "lightning-bolts (>=0.3.3)", "matplotlib", "timm (>=0.4.5)"] +all = ["transformers (>=4.11.0)", "pytorchvideo (==0.1.2)", "pytorch-tabnet (==3.1)", "torchaudio", "transformers (>=4.5)", "datasets (>=1.8,<1.13)", "datasets (>=1.8)", "torchmetrics[text] (>=0.5.1)", "timm (>=0.4.5)", "scikit-learn", "pystiche (>=1.0.0,<2.0.0)", "librosa (>=0.8.1)", "pytorch-forecasting", "sentencepiece (>=0.1.95)", "filelock", "lightning-bolts (>=0.3.3)", "torchvision", "Pillow (>=7.2)", "kornia (>=0.5.1,<0.5.4)", "segmentation-models-pytorch"] +audio = ["transformers (>=4.11.0)", "datasets (>=1.8)", "torchaudio", "librosa (>=0.8.1)"] +dev = ["transformers (>=4.11.0)", "flake8", "pytorchvideo (==0.1.2)", "pytorch-tabnet (==3.1)", "torchaudio", "transformers (>=4.5)", "pytest (>=5.0)", "check-manifest", "codecov (>=2.1)", "docutils (>=0.16,<0.18)", "sphinx-paramlinks (>=0.5.1)", "sphinx (>=4.0,<4.1)", "datasets (>=1.8,<1.13)", "datasets (>=1.8)", "pytest-flake8", "myst-parser", "sphinx-togglebutton (>=0.2)", "torchmetrics[text] (>=0.5.1)", "timm (>=0.4.5)", "pandoc (>=1.0)", "scikit-learn", "pystiche (>=1.0.0,<2.0.0)", "torch-optimizer", "librosa (>=0.8.1)", "sphinxcontrib-fulltoc (>=1.0)", "pytorch-forecasting", "sphinx-autodoc-typehints (>=1.0)", "coverage", "pre-commit", "sentencepiece (>=0.1.95)", "filelock", "ipython", "lightning-bolts (>=0.3.3)", "torchvision", "Pillow (>=7.2)", "pytest-mock", "isort", "kornia (>=0.5.1,<0.5.4)", "sphinxcontrib-mockautodoc", "sphinx-copybutton (>=0.3)", "nbsphinx (>=0.8.5)", "twine (==3.2)", "segmentation-models-pytorch"] +docs = ["sphinxcontrib-mockautodoc", "sphinx-copybutton 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(==1.7.1)", "tensorboard", "torchvision", "open3d (==0.13)"] -serve = ["pydantic (>1.8.1,<2.0.0)", "numpy", "aiofiles", "torchvision", "starlette (==0.14.2)", "pillow", "cytoolz", "jinja2", "tqdm", "uvicorn[standard] (>=0.12.0,<0.14.0)", "pyyaml", "fastapi (>=0.65.2,<0.66.0)", "graphviz", "importlib-metadata (>=0.12,<3)"] -tabular = ["scikit-learn", "pytorch-forecasting", "pytorch-tabnet (==3.1)"] -test = ["pytest (>=5.0)", "torch-optimizer", "check-manifest", "pre-commit", "codecov (>=2.1)", "pytest-flake8", "flake8", "scikit-learn", "pytest-mock", "isort", "coverage", "twine (==3.2)"] -text = ["torchmetrics[text] (>=0.5.1)", "filelock", "transformers (>=4.5)", "datasets (>=1.8,<1.13)", "sentencepiece (>=0.1.95)"] -video = ["kornia (>=0.5.1,<0.5.4)", "torchvision", "Pillow (>=7.2)", "pytorchvideo (==0.1.2)"] -video_extras = ["Pillow (>=7.2)", "kornia (>=0.5.1,<0.5.4)", "torchvision", "fiftyone", "pytorchvideo (==0.1.2)"] -vision = ["Pillow (>=7.2)", "pystiche (>=1.0.0,<2.0.0)", "kornia (>=0.5.1,<0.5.4)", "torchvision", "lightning-bolts (>=0.3.3)", "segmentation-models-pytorch", "pytorchvideo (==0.1.2)", "timm (>=0.4.5)"] +pointcloud = ["torch (==1.7.1)", "torchvision", "tensorboard", "open3d (==0.13)"] +serve = ["cytoolz", "numpy", "jinja2", "starlette (==0.14.2)", "graphviz", "torchvision", "uvicorn[standard] (>=0.12.0,<0.14.0)", "pyyaml", "tqdm", "fastapi (>=0.65.2,<0.66.0)", "aiofiles", "pillow", "pydantic (>1.8.1,<2.0.0)", "importlib-metadata (>=0.12,<3)"] +tabular = ["pytorch-tabnet (==3.1)", "scikit-learn", "pytorch-forecasting"] +test = ["pytest-mock", "flake8", "isort", "pytest (>=5.0)", "check-manifest", "pytest-flake8", "codecov (>=2.1)", "coverage", "pre-commit", "twine (==3.2)", "scikit-learn", "torch-optimizer"] +text = ["transformers (>=4.5)", "sentencepiece (>=0.1.95)", "filelock", "torchmetrics[text] (>=0.5.1)", "datasets (>=1.8,<1.13)"] +video = ["torchvision", "pytorchvideo (==0.1.2)", "kornia (>=0.5.1,<0.5.4)", "Pillow (>=7.2)"] +video_extras = ["pytorchvideo (==0.1.2)", "kornia (>=0.5.1,<0.5.4)", "fiftyone", "torchvision", "Pillow (>=7.2)"] +vision = ["pytorchvideo (==0.1.2)", "kornia (>=0.5.1,<0.5.4)", "lightning-bolts (>=0.3.3)", "segmentation-models-pytorch", "torchvision", "timm (>=0.4.5)", "Pillow (>=7.2)", "pystiche (>=1.0.0,<2.0.0)"] [package.source] type = "git" url = "https://github.com/PyTorchLightning/lightning-flash.git" reference = "master" -resolved_reference = "6d7ebd9cb66a1211c25014b65c0455bdca79b9a7" +resolved_reference = "812cff3fca61b7450230f4556ceb08199d6fc1ae" [[package]] name = "markdown" -version = "3.3.4" +version = "3.3.6" description = "Python implementation of Markdown." -category = "main" +category = "dev" optional = false python-versions = ">=3.6" [package.dependencies] -importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} +importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""} [package.extras] testing = ["coverage", "pyyaml"] @@ -988,7 +1048,7 @@ python-versions = ">=3.6" [[package]] name = "matplotlib" -version = "3.4.3" +version = "3.5.0" description = "Python plotting package" category = "main" optional = false @@ -996,11 +1056,14 @@ python-versions = ">=3.7" [package.dependencies] cycler = ">=0.10" +fonttools = ">=4.22.0" kiwisolver = ">=1.0.1" -numpy = ">=1.16" +numpy = ">=1.17" +packaging = ">=20.0" pillow = ">=6.2.0" pyparsing = ">=2.2.1" python-dateutil = ">=2.7" +setuptools_scm = ">=4" [[package]] name = "matplotlib-inline" @@ -1031,7 +1094,7 @@ python-versions = "*" [[package]] name = "multidict" -version = "5.1.0" +version = "5.2.0" description = "multidict implementation" category = "main" optional = false @@ -1052,7 +1115,7 @@ dill = ">=0.3.4" name = "munch" version = "2.5.0" description = "A dot-accessible dictionary (a la JavaScript objects)" -category = "main" +category = "dev" optional = false python-versions = "*" @@ -1091,7 +1154,7 @@ python-versions = "*" [[package]] name = "nbclient" -version = "0.5.4" +version = "0.5.9" description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." category = "dev" optional = false @@ -1104,13 +1167,13 @@ nest-asyncio = "*" traitlets = ">=4.2" [package.extras] -dev = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"] +dev = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"] sphinx = ["Sphinx (>=1.7)", "sphinx-book-theme", "mock", "moto", "myst-parser"] -test = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"] +test = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"] [[package]] name = "nbconvert" -version = "6.1.0" +version = "6.3.0" description = "Converting Jupyter Notebooks" category = "dev" optional = false @@ -1132,11 +1195,11 @@ testpath = "*" traitlets = ">=5.0" [package.extras] -all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"] +all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.6)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"] docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"] serve = ["tornado (>=4.0)"] -test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.2)"] -webpdf = ["pyppeteer (==0.2.2)"] +test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.6)"] +webpdf = ["pyppeteer (==0.2.6)"] [[package]] name = "nbformat" @@ -1174,7 +1237,7 @@ traitlets = "*" [[package]] name = "nest-asyncio" -version = "1.5.1" +version = "1.5.3" description = "Patch asyncio to allow nested event loops" category = "dev" optional = false @@ -1182,7 +1245,7 @@ python-versions = ">=3.5" [[package]] name = "notebook" -version = "6.4.4" +version = "6.4.6" description = "A web-based notebook environment for interactive computing" category = "dev" optional = false @@ -1197,9 +1260,10 @@ jupyter-client = ">=5.3.4" jupyter-core = ">=4.6.1" nbconvert = "*" nbformat = "*" +nest-asyncio = ">=1.5" prometheus-client = "*" pyzmq = ">=17" -Send2Trash = ">=1.5.0" +Send2Trash = ">=1.8.0" terminado = ">=0.8.3" tornado = ">=6.1" traitlets = ">=4.2.1" @@ -1211,7 +1275,7 @@ test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "re [[package]] name = "numpy" -version = "1.21.2" +version = "1.21.4" description = "NumPy is the fundamental package for array computing with Python." category = "main" optional = false @@ -1236,7 +1300,7 @@ testing = ["matplotlib", "pytest", "pytest-cov"] name = "oauthlib" version = "3.1.1" description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -1247,14 +1311,14 @@ signedtoken = ["cryptography (>=3.0.0,<4)", "pyjwt (>=2.0.0,<3)"] [[package]] name = "packaging" -version = "21.0" +version = "21.3" description = "Core utilities for Python packages" category = "main" optional = false python-versions = ">=3.6" [package.dependencies] -pyparsing = ">=2.0.2" +pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" [[package]] name = "pandas" @@ -1282,7 +1346,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [[package]] name = "parso" -version = "0.8.2" +version = "0.8.3" description = "A Python Parser" category = "dev" optional = false @@ -1329,7 +1393,7 @@ python-versions = "*" [[package]] name = "pillow" -version = "8.3.2" +version = "8.4.0" description = "Python Imaging Library (Fork)" category = "main" optional = false @@ -1337,7 +1401,7 @@ python-versions = ">=3.6" [[package]] name = "platformdirs" -version = "2.3.0" +version = "2.4.0" description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." category = "dev" optional = false @@ -1366,7 +1430,7 @@ testing = ["pytest", "pytest-benchmark"] name = "pretrainedmodels" version = "0.7.4" description = "Pretrained models for Pytorch" -category = "main" +category = "dev" optional = false python-versions = "*" @@ -1378,7 +1442,7 @@ tqdm = "*" [[package]] name = "prometheus-client" -version = "0.11.0" +version = "0.12.0" description = "Python client for the Prometheus monitoring system." category = "dev" optional = false @@ -1389,7 +1453,7 @@ twisted = ["twisted"] [[package]] name = "prompt-toolkit" -version = "3.0.20" +version = "3.0.23" description = "Library for building powerful interactive command lines in Python" category = "dev" optional = false @@ -1400,11 +1464,11 @@ wcwidth = "*" [[package]] name = "protobuf" -version = "3.18.0" +version = "3.19.1" description = "Protocol Buffers" -category = "main" +category = "dev" optional = false -python-versions = "*" +python-versions = ">=3.5" [[package]] name = "ptyprocess" @@ -1416,15 +1480,15 @@ python-versions = "*" [[package]] name = "py" -version = "1.10.0" +version = "1.11.0" description = "library with cross-python path, ini-parsing, io, code, log facilities" category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" [[package]] name = "pyarrow" -version = "5.0.0" +version = "6.0.1" description = "Python library for Apache Arrow" category = "main" optional = true @@ -1437,7 +1501,7 @@ numpy = ">=1.16.6" name = "pyasn1" version = "0.4.8" description = "ASN.1 types and codecs" -category = "main" +category = "dev" optional = false python-versions = "*" @@ -1445,7 +1509,7 @@ python-versions = "*" name = "pyasn1-modules" version = "0.2.8" description = "A collection of ASN.1-based protocols modules." -category = "main" +category = "dev" optional = false python-versions = "*" @@ -1462,7 +1526,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [[package]] name = "pycparser" -version = "2.20" +version = "2.21" description = "C parser in Python" category = "dev" optional = false @@ -1472,7 +1536,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" name = "pydeprecate" version = "0.3.1" description = "Deprecation tooling" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -1494,11 +1558,14 @@ python-versions = ">=3.5" [[package]] name = "pyparsing" -version = "2.4.7" +version = "3.0.6" description = "Python parsing module" category = "main" optional = false -python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +python-versions = ">=3.6" + +[package.extras] +diagrams = ["jinja2", "railroad-diagrams"] [[package]] name = "pyrsistent" @@ -1512,7 +1579,7 @@ python-versions = ">=3.6" name = "pystiche" version = "1.0.1" description = "Framework for Neural Style Transfer built upon PyTorch" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -1587,9 +1654,9 @@ six = ">=1.5" [[package]] name = "pytorch-lightning" -version = "1.4.9" +version = "1.5.4" description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate." -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -1601,24 +1668,24 @@ packaging = ">=17.0" pyDeprecate = "0.3.1" PyYAML = ">=5.1" tensorboard = ">=2.2.0" -torch = ">=1.6" -torchmetrics = ">=0.4.0" +torch = ">=1.7" +torchmetrics = ">=0.4.1" tqdm = ">=4.41.0" typing-extensions = "*" [package.extras] -all = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.17.0)", "gcsfs (>=2021.5.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "check-manifest", "twine (==3.2)", "mypy (>=0.900)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas", "torchvision (>=0.7)", "gym (>=0.17.0)", "ipython"] -cpu = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.17.0)", "gcsfs (>=2021.5.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "check-manifest", "twine (==3.2)", "mypy (>=0.900)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas", "torchvision (>=0.7)", "gym (>=0.17.0)", "ipython"] -cpu-extra = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.17.0)", "gcsfs (>=2021.5.0)"] -dev = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.17.0)", "gcsfs (>=2021.5.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "check-manifest", "twine (==3.2)", "mypy (>=0.900)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas"] -examples = ["torchvision (>=0.7)", "gym (>=0.17.0)", "ipython"] -extra = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.7)", "onnx (>=1.7.0)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.17.0)", "gcsfs (>=2021.5.0)"] -loggers = ["neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)"] -test = ["coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "check-manifest", "twine (==3.2)", "mypy (>=0.900)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas"] +all = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "torchtext (>=0.8)", "omegaconf (>=2.0.5)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.0.4)", "gcsfs (>=2021.5.0)", "rich (>=10.2.2)", "neptune-client (>=0.10.0)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-rerunfailures (>=10.2)", "twine (==3.2)", "mypy (>=0.900)", "flake8 (>=3.9.2)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "onnxruntime", "pandas", "torchvision (>=0.8)", "gym (>=0.17.0)", "ipython"] +cpu = ["matplotlib (>3.1)", "torchtext (>=0.8)", "omegaconf (>=2.0.5)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.0.4)", "gcsfs (>=2021.5.0)", "rich (>=10.2.2)", "neptune-client (>=0.10.0)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", 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(>=0.8)", "gym (>=0.17.0)", "ipython"] +extra = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "torchtext (>=0.8)", "omegaconf (>=2.0.5)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.0.4)", "gcsfs (>=2021.5.0)", "rich (>=10.2.2)"] +loggers = ["neptune-client (>=0.10.0)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)"] +test = ["coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-rerunfailures (>=10.2)", "twine (==3.2)", "mypy (>=0.900)", "flake8 (>=3.9.2)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "onnxruntime", "pandas"] [[package]] name = "pytz" -version = "2021.1" +version = "2021.3" description = "World timezone definitions, modern and historical" category = "main" optional = false @@ -1626,7 +1693,7 @@ python-versions = "*" [[package]] name = "pywin32" -version = "301" +version = "302" description = "Python for Window Extensions" category = "dev" optional = false @@ -1634,7 +1701,7 @@ python-versions = "*" [[package]] name = "pywinpty" -version = "1.1.4" +version = "1.1.6" description = "Pseudo terminal support for Windows from Python." category = "dev" optional = false @@ -1642,11 +1709,11 @@ python-versions = ">=3.6" [[package]] name = "pyyaml" -version = "5.4.1" +version = "6.0" description = "YAML parser and emitter for Python" category = "main" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" +python-versions = ">=3.6" [[package]] name = "pyzmq" @@ -1675,7 +1742,7 @@ sphinx = ">=1.3.1" [[package]] name = "regex" -version = "2021.8.28" +version = "2021.11.10" description = "Alternative regular expression module, to replace re." category = "main" optional = false @@ -1703,7 +1770,7 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"] name = "requests-oauthlib" version = "1.3.0" description = "OAuthlib authentication support for Requests." -category = "main" +category = "dev" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" @@ -1716,18 +1783,18 @@ rsa = ["oauthlib[signedtoken] (>=3.0.0)"] [[package]] name = "rsa" -version = "4.7.2" +version = "4.8" description = "Pure-Python RSA implementation" -category = "main" +category = "dev" optional = false -python-versions = ">=3.5, <4" +python-versions = ">=3.6,<4" [package.dependencies] pyasn1 = ">=0.1.3" [[package]] name = "sacremoses" -version = "0.0.45" +version = "0.0.46" description = "SacreMoses" category = "main" optional = true @@ -1762,20 +1829,20 @@ tests = ["matplotlib (>=2.1.1)", "scikit-image (>=0.13)", "pandas (>=0.25.0)", " [[package]] name = "scipy" -version = "1.7.1" +version = "1.7.3" description = "SciPy: Scientific Library for Python" category = "main" optional = false -python-versions = ">=3.7,<3.10" +python-versions = ">=3.7,<3.11" [package.dependencies] numpy = ">=1.16.5,<1.23.0" [[package]] name = "segmentation-models-pytorch" -version = "0.2.0" +version = "0.2.1" description = "Image segmentation models with pre-trained backbones. PyTorch." -category = "main" +category = "dev" optional = false python-versions = ">=3.0.0" @@ -1801,6 +1868,21 @@ nativelib = ["pyobjc-framework-cocoa", "pywin32"] objc = ["pyobjc-framework-cocoa"] win32 = ["pywin32"] +[[package]] +name = "setuptools-scm" +version = "6.3.2" +description = "the blessed package to manage your versions by scm tags" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +packaging = ">=20.0" +tomli = ">=1.0.0" + +[package.extras] +toml = ["setuptools (>=42)", "tomli (>=1.0.0)"] + [[package]] name = "six" version = "1.16.0" @@ -1819,7 +1901,7 @@ python-versions = ">=3.6" [[package]] name = "snowballstemmer" -version = "2.1.0" +version = "2.2.0" description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms." category = "dev" optional = false @@ -1827,7 +1909,7 @@ python-versions = "*" [[package]] name = "sphinx" -version = "4.2.0" +version = "4.3.1" description = "Python documentation generator" category = "dev" optional = false @@ -1985,7 +2067,7 @@ pbr = ">=2.0.0,<2.1.0 || >2.1.0" [[package]] name = "structlog" -version = "21.1.0" +version = "21.4.0" description = "Structured Logging for Python" category = "main" optional = false @@ -1995,21 +2077,21 @@ python-versions = ">=3.6" typing-extensions = {version = "*", markers = "python_version < \"3.8\""} [package.extras] -dev = ["coverage", "freezegun (>=0.2.8)", "pretend", "pytest-asyncio", "pytest-randomly", "pytest (>=6.0)", "simplejson", "furo", "sphinx", "sphinx-toolbox", "twisted", "pre-commit"] -docs = ["furo", "sphinx", "sphinx-toolbox", "twisted"] -tests = ["coverage", "freezegun (>=0.2.8)", "pretend", "pytest-asyncio", "pytest-randomly", "pytest (>=6.0)", "simplejson"] +dev = ["pre-commit", "rich", "cogapp", "tomli", "coverage", "freezegun (>=0.2.8)", "pretend", "pytest-asyncio", "pytest (>=6.0)", "simplejson", "furo", "sphinx", "sphinx-notfound-page", "sphinxcontrib-mermaid", "twisted"] +docs = ["furo", "sphinx", "sphinx-notfound-page", "sphinxcontrib-mermaid", "twisted"] +tests = ["coverage", "freezegun (>=0.2.8)", "pretend", "pytest-asyncio", "pytest (>=6.0)", "simplejson"] [[package]] name = "tensorboard" -version = "2.6.0" +version = "2.7.0" description = "TensorBoard lets you watch Tensors Flow" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" [package.dependencies] absl-py = ">=0.4" -google-auth = ">=1.6.3,<2" +google-auth = ">=1.6.3,<3" google-auth-oauthlib = ">=0.4.1,<0.5" grpcio = ">=1.24.3" markdown = ">=2.6.8" @@ -2024,7 +2106,7 @@ werkzeug = ">=0.11.15" name = "tensorboard-data-server" version = "0.6.1" description = "Fast data loading for TensorBoard" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -2032,7 +2114,7 @@ python-versions = ">=3.6" name = "tensorboard-plugin-wit" version = "1.8.0" description = "What-If Tool TensorBoard plugin." -category = "main" +category = "dev" optional = false python-versions = "*" @@ -2065,7 +2147,7 @@ test = ["pytest", "pathlib2"] [[package]] name = "threadpoolctl" -version = "2.2.0" +version = "3.0.0" description = "threadpoolctl" category = "main" optional = false @@ -2075,7 +2157,7 @@ python-versions = ">=3.6" name = "timm" version = "0.4.12" description = "(Unofficial) PyTorch Image Models" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -2104,15 +2186,15 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" [[package]] name = "tomli" -version = "1.2.1" +version = "1.2.2" description = "A lil' TOML parser" -category = "dev" +category = "main" optional = false python-versions = ">=3.6" [[package]] name = "torch" -version = "1.9.1" +version = "1.10.0" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" category = "main" optional = false @@ -2136,9 +2218,9 @@ torchvision = ">0.8" [[package]] name = "torchmetrics" -version = "0.5.0" +version = "0.6.0" description = "PyTorch native Metrics" -category = "main" +category = "dev" optional = false python-versions = ">=3.6" @@ -2148,13 +2230,18 @@ packaging = "*" torch = ">=1.3.1" [package.extras] -all = ["scipy", "torchvision", "torch-fidelity", "jiwer (>=2.2.0)", "nltk (>=3.6)", "rouge-score (>=0.0.4)", "bert-score (==0.3.10)"] -image = ["scipy", "torchvision", "torch-fidelity"] -text = ["jiwer (>=2.2.0)", "nltk (>=3.6)", "rouge-score (>=0.0.4)", "bert-score (==0.3.10)"] +all = ["numpy (>=1.17.2)", "packaging", "pystoi", "pesq (>=0.0.3)", "torch (>=1.3.1)", "torchvision", "pycocotools (>=2.0.2)", "nbsphinx (>=0.8)", "sphinx (>=4.0)", "sphinx-togglebutton (>=0.2)", "sphinx-autodoc-typehints (>=1.0)", "sphinxcontrib-mockautodoc", "sphinx-copybutton (>=0.3)", "pytorch-lightning (>=1.1)", "pandoc (>=1.0)", "sphinx-paramlinks (>=0.5.1)", "docutils (>=0.16)", "sphinxcontrib-fulltoc (>=1.0)", "myst-parser", "scipy", "lpips", "torch-fidelity", "pytorch-lightning (>=1.0)", "phmdoctest (>=1.1.1)", "pytest (>=6.0)", "cloudpickle (>=1.3)", "twine (>=3.2)", "codecov (>=2.1)", "sacrebleu (>=2.0.0)", "scikit-image (>0.17.1)", "mir-eval (>=0.6)", "isort (>=5.0)", "scikit-learn (>=0.24)", "mypy (>=0.790)", "jiwer (>=2.2.0)", "check-manifest", "flake8", "transformers (>=4.0)", "bert-score (==0.3.10)", "rouge-score (>=0.0.4)", "coverage (>5.2)", "pre-commit (>=1.0)", "pytest-cov (>2.10)", "pypesq", "tqdm (>=4.41.0)", "regex (>=2021.9.24)", "nltk (>=3.6)"] +audio = ["numpy (>=1.17.2)", "packaging", "pystoi", "pesq (>=0.0.3)", "torch (>=1.3.1)"] +detection = ["numpy (>=1.17.2)", "packaging", "torchvision", "pycocotools (>=2.0.2)", "torch (>=1.3.1)"] +docs = ["numpy (>=1.17.2)", "packaging", "nbsphinx (>=0.8)", "sphinx (>=4.0)", "sphinx-togglebutton (>=0.2)", "sphinx-autodoc-typehints (>=1.0)", "sphinxcontrib-mockautodoc", "sphinx-copybutton (>=0.3)", "pytorch-lightning (>=1.1)", "pandoc (>=1.0)", "sphinx-paramlinks (>=0.5.1)", "docutils (>=0.16)", "sphinxcontrib-fulltoc (>=1.0)", "torch (>=1.3.1)", "myst-parser"] +image = ["scipy", "numpy (>=1.17.2)", "packaging", "torchvision", "lpips", "torch-fidelity", "torch (>=1.3.1)"] +integrate = ["numpy (>=1.17.2)", "packaging", "torch (>=1.3.1)", "pytorch-lightning (>=1.0)"] +test = ["phmdoctest (>=1.1.1)", "pytest (>=6.0)", "cloudpickle (>=1.3)", "twine (>=3.2)", "codecov (>=2.1)", "sacrebleu (>=2.0.0)", "scikit-image (>0.17.1)", "mir-eval (>=0.6)", "numpy (>=1.17.2)", "isort (>=5.0)", "scikit-learn (>=0.24)", "mypy (>=0.790)", "jiwer (>=2.2.0)", "torch (>=1.3.1)", "check-manifest", "flake8", "transformers (>=4.0)", "bert-score (==0.3.10)", "packaging", "rouge-score (>=0.0.4)", "coverage (>5.2)", "pre-commit (>=1.0)", "pytest-cov (>2.10)", "pypesq"] +text = ["numpy (>=1.17.2)", "packaging", "tqdm (>=4.41.0)", "regex (>=2021.9.24)", "nltk (>=3.6)", "torch (>=1.3.1)"] [[package]] name = "torchvision" -version = "0.10.1" +version = "0.11.1" description = "image and video datasets and models for torch deep learning" category = "main" optional = false @@ -2162,8 +2249,8 @@ python-versions = "*" [package.dependencies] numpy = "*" -pillow = ">=5.3.0" -torch = "1.9.1" +pillow = ">=5.3.0,<8.3.0 || >8.3.0" +torch = "1.10.0" [package.extras] scipy = ["scipy"] @@ -2194,7 +2281,7 @@ telegram = ["requests"] [[package]] name = "traitlets" -version = "5.1.0" +version = "5.1.1" description = "Traitlets Python configuration system" category = "dev" optional = false @@ -2205,7 +2292,7 @@ test = ["pytest"] [[package]] name = "transformers" -version = "4.10.2" +version = "4.12.5" description = "State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch" category = "main" optional = true @@ -2213,10 +2300,10 @@ python-versions = ">=3.6.0" [package.dependencies] filelock = "*" -huggingface-hub = ">=0.0.12" +huggingface-hub = ">=0.1.0,<1.0" importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} numpy = ">=1.17" -packaging = "*" +packaging = ">=20.0" pyyaml = ">=5.1" regex = "!=2019.12.17" requests = "*" @@ -2225,17 +2312,17 @@ tokenizers = ">=0.10.1,<0.11" tqdm = ">=4.27" [package.extras] -all = ["tensorflow (>=2.3)", "onnxconverter-common", "keras2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.4)", "optax (>=0.0.8)", "sentencepiece (==0.1.91)", "protobuf", "tokenizers (>=0.10.1,<0.11)", "torchaudio", "soundfile", "pillow", "optuna", "ray", "timm", "codecarbon (==1.2.0)"] -audio = ["soundfile"] +all = ["tensorflow (>=2.3)", "onnxconverter-common", "keras2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.4)", "optax (>=0.0.8)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf", "tokenizers (>=0.10.1,<0.11)", "torchaudio", "librosa", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)"] +audio = ["librosa"] codecarbon = ["codecarbon (==1.2.0)"] -deepspeed = ["deepspeed (>=0.5.1)"] -dev = ["tensorflow (>=2.3)", "onnxconverter-common", "keras2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.4)", "optax (>=0.0.8)", "sentencepiece (==0.1.91)", "protobuf", "tokenizers (>=0.10.1,<0.11)", "torchaudio", "soundfile", "pillow", "optuna", "ray", "timm", "codecarbon (==1.2.0)", "pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets", "pytest-timeout", "black (==21.4b0)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score", "nltk", "GitPython (<3.1.19)", "faiss-cpu", "cookiecutter (==1.7.2)", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic-lite (>=1.0.7)", "unidic (>=1.0.2)", "docutils (==0.16.0)", "recommonmark", "sphinx (==3.5.4)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinx-copybutton", "sphinxext-opengraph (==0.4.1)", "sphinx-intl", "scikit-learn"] -docs = ["tensorflow (>=2.3)", "onnxconverter-common", "keras2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.4)", "optax (>=0.0.8)", "sentencepiece (==0.1.91)", "protobuf", "tokenizers (>=0.10.1,<0.11)", 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a/tests/active/active_loop_test.py +++ b/tests/active/active_loop_test.py @@ -55,7 +55,7 @@ def test_should_stop(heur): active_loop = ActiveLearningLoop(dataset, get_probs, heur, - ndata_to_label=10, + query_size=10, dummy_param=1) dataset.label_randomly(10) step = 0 @@ -77,7 +77,7 @@ def test_should_stop_iter(heur): active_loop = ActiveLearningLoop(dataset, get_probs_iter, heur, - ndata_to_label=10, + query_size=10, dummy_param=1) dataset.label_randomly(10) step = 0 @@ -97,7 +97,7 @@ def test_sad(max_sample, expected): get_probs_iter, heuristics.Random(), max_sample=max_sample, - ndata_to_label=10, + query_size=10, dummy_param=1) dataset.label_randomly(10) active_loop.step() @@ -113,7 +113,7 @@ def test_file_saving(tmpdir): get_probs_iter, heur, uncertainty_folder=tmpdir, - ndata_to_label=10, + query_size=10, dummy_param=1) dataset.label_randomly(10) _ = active_loop.step() diff --git a/tests/integration_test.py b/tests/integration_test.py index 0e59e98e..387fec27 100644 --- a/tests/integration_test.py +++ b/tests/integration_test.py @@ -55,7 +55,7 @@ def test_integration(): active_loop = ActiveLearningLoop(al_dataset, model.predict_on_dataset, heuristic=heuristics.BALD(), - ndata_to_label=10, + query_size=10, batch_size=10, iterations=10, use_cuda=use_cuda, diff --git a/tests/utils/test_pytorch_lightning.py b/tests/utils/test_pytorch_lightning.py index 9539e81a..307df50e 100644 --- a/tests/utils/test_pytorch_lightning.py +++ b/tests/utils/test_pytorch_lightning.py @@ -133,7 +133,7 @@ def test_pl_step(monkeypatch, a_data_module, a_pl_module, hparams): active_set = a_data_module.active_dataset trainer = BaalTrainer(dataset=active_set, max_epochs=3, default_root_dir='/tmp', - ndata_to_label=hparams['query_size']) + query_size=hparams['query_size']) # Give everything. before = len(active_set)