In [1]:

import pandas as pd

In [2]:

df = pd.read_json("10.0_to_11.0-rc2.json").T
df.tail()

Out[2]:

	title	body	pr_number	files_changed	labels
af1f22d9	Update Regnet model weights (#4530) (#4550)	* add best weights and x_1_6, x_3_2, y_1_6, y_...	4550	[docs/source/models.rst, torchvision/models/re...	[module: models, cla signed, ciflow/default]
88891709	Show PILToTensor in docs (#4546) (#4553)	* Add docs for PILToTensor\r\n\r\n* Update doc...	4553	[docs/source/transforms.rst]	[ciflow/default]
b13d5abf	Fix sphinx-gallery backlinks (#4565) (#4567)		4567	[.circleci/config.yml, .circleci/config.yml.in]	[ciflow/default]
254a2169	Explicitly copying array in pil_to_tensor (#45...	* mExplicitly copying array in pil_to_tensor\r...	4573	[torchvision/transforms/functional.py, torchvi...	[module: transforms, ciflow/default]
ccf3aa2a	Added docs for reference scripts (#4574) (#4575)		4575	[docs/source/index.rst, docs/source/models.rst...	[ciflow/default]

In [3]:

all_labels = set(
    lbl
    for labels in df['labels']
    for lbl in labels
)
all_labels

Out[3]:

{'Perf',
 'bc-breaking',
 'bug',
 'ciflow/default',
 'cla signed',
 'code quality',
 'dependency issue',
 'deprecation',
 'enhancement',
 'fb-exported',
 'module: ci',
 'module: datasets',
 'module: documentation',
 'module: hub',
 'module: io',
 'module: models',
 'module: models.quantization',
 'module: onnx',
 'module: ops',
 'module: reference scripts',
 'module: tests',
 'module: transforms',
 'module: utils',
 'module: video',
 'new feature',
 'prototype',
 'topic: binaries',
 'topic: build',
 'topic: classification',
 'topic: mobile',
 'topic: object detection',
 'torchscript',
 'version incompatibility'}

In [4]:

# Add one column per label
for label in all_labels:
    df[label] = df['labels'].apply(lambda labels_list: label in labels_list)
df.head()

Out[4]:

	title	body	pr_number	files_changed	labels	module: transforms	module: io	bc-breaking	module: utils	module: ops	...	module: tests	topic: mobile	module: hub	torchscript	topic: classification	new feature	version incompatibility	module: datasets	module: ci	prototype
c2cdad4f	Bump master versions. (#3925)		3925	[packaging/build_cmake.sh, packaging/build_con...	[cla signed]	False	False	False	False	False	...	False	False	False	False	False	False	False	False	False	False
2ab93592	Improve model parameterization on tests (#3926)	* Improve model parameterization on tests.\r\n...	3926	[test/test_models.py]	[module: tests, cla signed]	False	False	False	False	False	...	True	False	False	False	False	False	False	False	False	False
e3e7c256	Remove deprecated CI vars. (#3928)		3928	[packaging/wheel/linux_manywheel.sh, packaging...	[module: ci]	False	False	False	False	False	...	False	False	False	False	False	False	False	False	True	False
4c563846	Speedup the slow tests of detection models (#3...	* Speed up keypoint and retina.\r\n\r\n* Updat...	3929	[test/common_utils.py, test/expect/ModelTester...	[module: models, module: tests, cla signed]	False	False	False	False	False	...	True	False	False	False	False	False	False	False	False	False
1cbcb2b1	Port test/test_image.py to pytest (#3930)		3930	[test/test_image.py]	[module: tests, module: io, cla signed, code q...	False	True	False	False	False	...	True	False	False	False	False	False	False	False	False	False

5 rows × 38 columns

In [5]:

# Add a clean "module" column. It contains tuples since PRs can have more than one module.
# Maybe we should include "topics" in that column as well?

all_modules = {  # mapping: full name -> clean name 
    label: ''.join(label.split(' ')[1:]) for label in all_labels if label.startswith('module')
}

# We use an ugly loop, but whatever ¯\_(ツ)_/¯
df['module'] = [[] for _ in range(len(df))]
for i, row in df.iterrows():
    for full_name, clean_name in all_modules.items():
        if full_name in row['labels']:
            row['module'].append(clean_name)
df['module'] = df.module.apply(tuple)
df.head()

Out[5]:

	title	body	pr_number	files_changed	labels	module: transforms	module: io	bc-breaking	module: utils	module: ops	...	topic: mobile	module: hub	torchscript	topic: classification	new feature	version incompatibility	module: datasets	module: ci	prototype	module
c2cdad4f	Bump master versions. (#3925)		3925	[packaging/build_cmake.sh, packaging/build_con...	[cla signed]	False	False	False	False	False	...	False	False	False	False	False	False	False	False	False	()
2ab93592	Improve model parameterization on tests (#3926)	* Improve model parameterization on tests.\r\n...	3926	[test/test_models.py]	[module: tests, cla signed]	False	False	False	False	False	...	False	False	False	False	False	False	False	False	False	(tests,)
e3e7c256	Remove deprecated CI vars. (#3928)		3928	[packaging/wheel/linux_manywheel.sh, packaging...	[module: ci]	False	False	False	False	False	...	False	False	False	False	False	False	False	True	False	(ci,)
4c563846	Speedup the slow tests of detection models (#3...	* Speed up keypoint and retina.\r\n\r\n* Updat...	3929	[test/common_utils.py, test/expect/ModelTester...	[module: models, module: tests, cla signed]	False	False	False	False	False	...	False	False	False	False	False	False	False	False	False	(models, tests)
1cbcb2b1	Port test/test_image.py to pytest (#3930)		3930	[test/test_image.py]	[module: tests, module: io, cla signed, code q...	False	True	False	False	False	...	False	False	False	False	False	False	False	False	False	(io, tests)

5 rows × 39 columns

In [6]:

mod_df = df.set_index('module').sort_index()
mod_df.tail()

Out[6]:

	title	body	pr_number	files_changed	labels	module: transforms	module: io	bc-breaking	module: utils	module: ops	...	module: tests	topic: mobile	module: hub	torchscript	topic: classification	new feature	version incompatibility	module: datasets	module: ci	prototype
module
(video,)	Ignore platforms other than Linux for ffmpeg (...	* Fix ffmpeg version\r\n\r\n* Ignore platforms...	4410	[setup.py]	[module: video, cla signed]	False	False	False	False	False	...	False	False	False	False	False	False	False	False	False	False
(video, tests)	Pytest for test_videoapi.py and test_video_rea...	* test_video_reader pytest refactoring\r\n\r\n...	4233	[test/common_utils.py, test/test_video_reader....	[module: tests, module: video, cla signed, cod...	False	False	False	False	False	...	True	False	False	False	False	False	False	False	False	False
(video, tests)	Port test_datasets_video_utils.py to pytest (#...		4035	[test/test_datasets_video_utils.py]	[module: tests, module: video, cla signed, cod...	False	False	False	False	False	...	True	False	False	False	False	False	False	False	False	False
(video, tests)	Removed test_audio_video_sync as it doesn't wo...		4050	[test/test_video_reader.py]	[module: tests, module: video, cla signed]	False	False	False	False	False	...	True	False	False	False	False	False	False	False	False	False
(video, tests)	More robust assertion checks in test_to_tensor...		4258	[test/test_transforms_video.py]	[module: tests, module: video, code quality]	False	False	False	False	False	...	True	False	False	False	False	False	False	False	False	False

5 rows × 38 columns

In [7]:

# All improvement PRs
mod_df[mod_df['enhancement']].head()

Out[7]:

	title	body	pr_number	files_changed	labels	module: transforms	module: io	bc-breaking	module: utils	module: ops	...	module: tests	topic: mobile	module: hub	torchscript	topic: classification	new feature	version incompatibility	module: datasets	module: ci	prototype
module
()	Add CUDA-11.3 builds to torchvision (#4248)	* Add CUDA-11.3 builds to torchvision\r\n\r\nA...	4248	[.circleci/config.yml, .circleci/regenerate.py...	[enhancement, topic: binaries, cla signed]	False	False	False	False	False	...	False	False	False	False	False	False	False	False	False	False
()	Make torch version check numeric (#4285)	Co-authored-by: Vasilis Vryniotis <datumbox@us...	4285	[setup.py]	[enhancement, topic: build, cla signed]	False	False	False	False	False	...	False	False	False	False	False	False	False	False	False	False
(ci,)	Import hipify_python only when needed (#4031)	Do this after the version check to avoid failu...	4031	[setup.py]	[enhancement, topic: build, module: ci, cla si...	False	False	False	False	False	...	False	False	False	False	False	False	False	False	True	False
(datasets,)	Add bzip2 file compression support to datasets...		4097	[test/test_datasets_utils.py, torchvision/data...	[enhancement, module: datasets, cla signed]	False	False	False	False	False	...	False	False	False	False	False	False	False	True	False	False
(datasets,)	Add support for files with periods in name (#4...		4099	[test/test_datasets_utils.py, torchvision/data...	[enhancement, module: datasets, cla signed]	False	False	False	False	False	...	False	False	False	False	False	False	False	True	False	False

5 rows × 38 columns

In [8]:

# improvement f module
# note: don't filter module name on the index as the index contain tuples with non-exclusive values
# Use the boolean column instead
mod_df[mod_df['enhancement'] & mod_df['module: transforms']]

Out[8]:

	title	body	pr_number	files_changed	labels	module: transforms	module: io	bc-breaking	module: utils	module: ops	...	module: tests	topic: mobile	module: hub	torchscript	topic: classification	new feature	version incompatibility	module: datasets	module: ci	prototype
module
(transforms,)	WIP on adding gray images support for adjust_c...		4477	[test/common_utils.py, test/test_functional_te...	[enhancement, module: transforms, cla signed]	True	False	False	False	False	...	False	False	False	False	False	False	False	False	False	False
(transforms,)	Make get_image_size and get_image_num_channels...		4321	[references/detection/transforms.py, test/test...	[enhancement, module: transforms, cla signed]	True	False	False	False	False	...	False	False	False	False	False	False	False	False	False	False
(transforms, documentation)	Added gray image support to `adjust_saturation...	* update channels parameter to every calling t...	4480	[test/common_utils.py, test/test_functional_te...	[enhancement, module: transforms, module: docu...	True	False	False	False	False	...	False	False	False	False	False	False	False	False	False	False
(transforms, tests)	Speed up Transformations tests (#3936)		3936	[test/test_transforms.py, test/test_transforms...	[enhancement, module: transforms, module: test...	True	False	False	False	False	...	True	False	False	False	False	False	False	False	False	False

4 rows × 38 columns

In [9]:

def format_prs(mod_df):
    out = []
    for idx, row in mod_df.iterrows():
        modules = idx
        # Put "documentation" and "tests" first for sorting to be dece
        for last_module in ('documentation', 'tests'):
            if last_module in modules:
                modules = [m for m in modules if m != last_module] + [last_module]
        
        module = f"[{', '.join(modules)}]"
        module = module.replace("referencescripts", 'reference scripts')
        module = module.replace("code", 'reference scripts')
        out.append(f"{module} {row['title']}")
    
    return '\n'.join(out)
        

In [10]:

included_prs = pd.DataFrame()

# If labels are accurate, this shouhld generate most of the release notes already
# We keep track of the included PRs to figure out which ones are missing
for section_title, module_idx in (
        ("Backward-incompatible changes", 'bc-breaking'),
        ("Deprecations", 'deprecation'),
        ("New Features", 'new feature'),
        ("Improvements", 'enhancement'),
        ("Bug Fixes", 'bug'),
        ("Code Quality", 'code quality'),
    ):
    print(f"## {section_title}")
    print()
    tmp_df = mod_df[mod_df[module_idx]]
    included_prs = pd.concat([included_prs, tmp_df])
    print(format_prs(tmp_df))
    print()

## Backward-incompatible changes

[models] Use torch instead of scipy for random initialization of inception and googlenet weights (#4256)

## Deprecations

[] Deprecate the C++ vision::models namespace (#4375)

## New Features

[datasets] Add iNaturalist dataset (#4123)
[datasets] Download and Kinetics 400/600/700 Datasets (#3680)
[models] Add FX feature extraction as an alternative to intermediate_layer_getter (#4302)
[ops] Rewrite test and fix masks_to_boxes implementation (#4469)
[ops] `masks_to_bounding_boxes` op (#4290)
[ops] Add StochasticDepth implementation (#4301)
[reference scripts] Adding Mixup and Cutmix (#4379)
[transforms] Integration of TrivialAugment with the current AutoAugment Code (#4221)
[transforms] Adding RandAugment implementation (#4348)

## Improvements

[] Add CUDA-11.3 builds to torchvision (#4248)
[] Make torch version check numeric (#4285)
[ci] Import hipify_python only when needed (#4031)
[datasets] Add bzip2 file compression support to datasets (#4097)
[datasets] Add support for files with periods in name (#4099)
[documentation] Fix training model instructions in references/classification (#4089)
[documentation] Minor additions to Resize docs (#4138)
[documentation] README: update torch/torchvision support table (#4133)
[documentation] Minor grammar fix to docstring (#4159)
[documentation] Document minimum required shapes for classification model builder. (#3944)
[documentation] Add sphinx Index at the bottom of the index.html page (#3894)
[datasets, documentation] kitti docs (#4251)
[datasets, documentation] lsun docs (#4239)
[video, documentation] Port 'examples/python/video_api.ipynb' to gallery (#4241)
[models] Improve FX node naming (#4418)
[models] Allow gradient backpropagation through GeneralizedRCNNTransform to inputs (#4327)
[models] Add EfficientNet Architecture in TorchVision (#4293)
[models, tests] Add test to check that classification models are FX-compatible (#3662)
[ops] Make StochasticDepth FX-compatible (#4373)
[ops] [1/2] Added backward pass on CPU for interpolation with anti-alias option (#4208)
[ops] [2/2] Added backward pass on CUDA for interpolation with anti-alias option (#4211)
[reference scripts] Adding label smoothing on classification reference (#4335)
[tests] Turn on fast gradcheck for DeformConv to speed-up tests (#3933)
[tests] Replace set_deterministic with non-deprecated spelling (#4212)
[transforms] WIP on adding gray images support for adjust_contrast (#4477)
[transforms] Make get_image_size and get_image_num_channels public. (#4321)
[transforms, documentation] Added gray image support to `adjust_saturation` function (#4480)
[transforms, tests] Speed up Transformations tests (#3936)
[utils] Support single color in utils.draw_bounding_boxes (#4075)
[utils, documentation] Change 'range' in docstrings of make_grid to 'value_range' (#3967)

## Bug Fixes

[] ci: Remove mentions of conda-forge (#4082)
[] Explicitly exclude PIL 8.3.0 from compatible dependencies (#4148)
[] [FBcode->GH] [JIT] Add reference semantics to TorchScript classes (#44324) (#4166)
[] ffmpeg version query (#4254)
[ci] fixup '*' -> '/.*/' for CI filter (#4059)
[ci] Fix broken clang format test. (#4320)
[datasets] Fix download from google drive which was downloading empty files in some cases (#4109)
[datasets] Fix splitting CelebA dataset (#4377)
[documentation] Fix documentation for SSD and RetinaNet. (#4132)
[io] Raise proper error when decoding 16-bits jpegs (#4101)
[io] deinterlacing PNG images with read_image (#4268)
[io, tests] Don't check transparency channel for pil >= 8.3 in test_decode_png (#4167)
[models] Don't download backbone weights if pretrained=True (#4283)
[onnx, tests] Do not disable profiling executor in ONNX tests (#4324)
[ops] Resolving tracing problem on StochasticDepth iterator. (#4372)
[ops] Fix typing issue to make DeformConv2d scriptable (#4079)
[ops, tests] Fix DeformConvTester::test_backward_cuda by setting threads per block to 512 (#3942)
[reference scripts] Fix bug on EMA n_averaged estimation. (#4544) (#4545)
[tests] Catch ValueError due to recent change to torch.testing.assert_close (#4165)
[tests] Fix failing tests by catching the proper exception from torch.testing (#4121)
[tests] Avoid cmyk in nvjpeg tests (#4246)
[tests] Skip test if connection issues on fate (#4284)
[transforms] Fix RandAugment and TrivialAugment bugs (#4370)
[utils] bug-fix to issue #4042 (#4043)

## Code Quality

[] Add comments (#4072)
[] [FBcode->GH] Allow all torchvision test rules to run with RE (#4073)
[] Replace deprecated torch.lstsq with torch.linalg.lstsq (#3918)
[] Prep change for changing def branch to main (#4306)
[] Replace master with main in links to torchvision repo (#4365)
[] Add typing in GeneralizedRCNNTransform (#4369)
[] Deprecate the C++ vision::models namespace (#4375)
[] remove unused package in coco_eval.py (#4404)
[] Fix bot that pings us when PR labels are missing (#4501)
[] Fixed a couple of typos and removed unnecessary bracket (#4345)
[] Fix clang formatting in deform_conv2d_kernel.cu (#3943)
[ci] add pre-commit hooks for convenient formatting checks (#4387)
[datasets] Added missing typing annotations in datasets/hmdb51 (#4169)
[datasets] Removed copy=False in torch.from_numpy in MNIST to avoid warning (#4184)
[datasets] Added missing typing annotations in datasets/coco (#4168)
[datasets] Added missing typing annotations in datasets/ucf101 (#4171)
[datasets] Added missing typing annotations in datasets/kinetics (#4170)
[io] Added typing annotations to io/__init__ (#4224)
[io] use from_blob to avoid memcpy (#4118)
[io, tests] Port test/test_image.py to pytest (#3930)
[models] Explicitely store a distance value that is reused (#4341)
[models] Use torch instead of scipy for random initialization of inception and googlenet weights (#4256)
[models] Added typing annotations to models/segmentation  (#4227)
[models] Added typing annotations to models/video (#4229)
[models, datasets] [FBcode->GH] Group all internally replaced utils into a single file (#4095)
[models, tests] Port test_models to pytest (#3978)
[models, tests] Port test_backbone_utils.py to pytest (#3991)
[models, tests] Port test_quantized_models.py to pytest (#4034)
[models, tests] Take assertExpected and check_jit_scriptable out of the TestCase class (#3947)
[models, tests] Port test_models_detection_negative_samples.py to pytest (#4045)
[models, tests] port test_models_detection_utils.py to pytest (#4036)
[models, tests] Port test_models_detection_anchor_utils.py to pytest (#4046)
[models.quantization] Add typing annotations to models/quantization (#4232)
[onnx] Import ONNX utils from symbolic_opset11 module (#4230)
[onnx, tests] Port test_onnx.py to pytest (#4047)
[onnx, tests] Use pytest.importorskip for onnx tests instead of custom logic (#4185)
[onnx, tests] Use test images from repo rather than internet for ONNX tests (#4176)
[ops] Revert "Update gpu atomics include path (#4478)"
[ops] Updated annotation to be a Union of Tensor and List (#4416)
[ops] Update gpu atomics include path (#4478)
[ops, models] Replace MobileNetV3's SqueezeExcitation with EfficientNet's one (#4487)
[ops, models] Moving common layers to ops (#4504)
[ops, tests] Port test_ops.py to pytest (#3953)
[reference scripts] Replaced ToTensor with a combination of PILToTensor and ConvertImageDtype (#4481)
[tests] [FBcode->GH] Remove torchvision/test/fakedata_generation.py (#4130)
[tests] Remove TestCase dependency for test_models_detection_anchor_utils.py (#4207)
[tests] Replace set_deterministic with non-deprecated spelling (#4212)
[tests] Prevent tests from leaking their respective RNG (#4497)
[tests] Cleanup test suite related to `torch.testing.assert_close` (#4177)
[tests] using `np.random.RandomState(seed)` instead of `np.random.seed(seed)` (#4250)
[tests] Removed tests executing deprecated F_t.center/five/ten_crop methods (#4479)
[tests] Replace get_tmp_dir() with tmpdir fixture in tests (#4280)
[datasets, tests] Port test_datasets_samplers.py to pytest (#4037)
[datasets, tests] Port test_datasets_utils to pytest (#4114)
[datasets, tests] Port test/test_datasets.py to use pytest (#4215)
[hub, tests] Port test_hub.py to pytest (#4038)
[transforms] Refactor AutoAugment to support more augmentations. (#4338)
[transforms] Added typing annotations to transforms/functional_pil (#4234)
[transforms] Added typing annotations to transforms/autoaugment (#4226)
[transforms] Port random affine, rotate, perspective and to_grayscale to pytest (#4000)
[transforms] Added missing typing annotations to transforms/functional_tensor (#4236)
[transforms, reference scripts] Added PILToTensor and ConvertImageDtype classes in reference scripts (#4495)
[transforms, tests] Prepare test_transforms_tensor.py for porting to pytest (#3976)
[transforms, tests] port pad, resized_crop and test_affine in test_functional_tensor to pytest (#3974)
[transforms, tests] port some tests in test_functional_tensor to pytest (#3977)
[transforms, tests] Port test_rotate in test_functional_tensor.py to pytest (#3983)
[transforms, tests] Port test resize in test_transforms to pytest (#3952)
[transforms, tests] Port random flip tests to pytest in test_transforms.py (#3971)
[transforms, tests] [pytest port] color_jitter, pad, crop, center_crop in test_transforms_tensor (#4008)
[transforms, tests] Port some tests to pytest in test_functional_tensor.py (#3988)
[transforms, tests] Finish porting test_functional_tensor.py to pytest (#3990)
[transforms, tests] Port normalize, linear_transformation, compose, random_apply, gaussian_blur to pytest (#4023)
[transforms, tests] [pytest port] test{crop_five, crop_ten, resize, resized_crop} in test_transforms_tensor (#4010)
[transforms, tests] Port some tests to pytest in test_transforms.py (#3981)
[transforms, tests] port test_accimage_xxx in test_transforms to pytest (#3985)
[transforms, tests] Port affine transform tests in test_tranforms to pytest (#3984)
[transforms, tests] Port test pad in test_transforms to pytest (#3954)
[transforms, tests] port the rest of test_transforms.py to pytest (#4026)
[transforms, tests] Port test_randomness in test_transforms.py to pytest (#3955)
[transforms, tests] Port test_adjust_xxx  in test_transforms to pytest (#3950)
[transforms, tests] Remove TransformsTester (#3946)
[transforms, tests] Port some tests in test_transforms to pytest (#3957)
[transforms, tests] Port grayscale tests in test_tranforms to pytest (#3962)
[transforms, tests] Port some tests in test_transforms.py to pytest (#3964)
[transforms, tests] Refactor test_transforms.py into classes (#4030)
[transforms, tests] Port the xxx_to_pil_image tests in test_transforms.py to pytest (#3959)
[transforms, tests] Finish porting test_transforms_tensor to pytest (#3996)
[transforms, video, tests] Port tests in test_transforms_video.py to pytest (#4040)
[utils] Better handling of grayscale images in draw bbox (#4049)
[video] Fixed some ffmpeg deprecation warnings in decoder (#4003)
[video] Typing fixes for torchvision.io.video.read_video (#4141)
[video] Fixed comparison warnings in audio_stream and video_stream (#4007)
[video] Fixed typo in audio_sampler comments (#4028)
[video, tests] Pytest for test_videoapi.py and test_video_reader.py (#4233)
[video, tests] Port test_datasets_video_utils.py to pytest (#4035)
[video, tests] More robust assertion checks in test_to_tensor_video (#4258)

In [11]:

# Missing PRs are these ones... classify them manually
missing_prs = pd.concat([mod_df, included_prs]).drop_duplicates(subset='pr_number', keep=False)
print(format_prs(missing_prs))

[] Bump master versions. (#3925)
[] fix syntax in PR labels workflow (#4012)
[] Fix workflow for pinging maintainers in case of unlabeled PRs (#4021)
[] Unpinned the libjpeg version and fixed jpeg_mem_dest's size type Wind… (#4288)
[] ping maintainers in case a PR was not properly labeled (#3993)
[] New issue templates (#4299)
[] Enable building torchvision with ffmpeg regardless of version on Linux (#4413)
[] Conda: Add numpy dependency (#4442)
[] Remove prototype folder from release (#4524)
[] Switch testing to torch_test rather than torch_nightly (#4496)
[] Show PILToTensor in docs (#4546) (#4553)
[] Fix sphinx-gallery backlinks (#4565) (#4567)
[] Revert "addressing #3805: remove deprecated function call 3 (#3861)" (#3989)
[] Added docs for reference scripts (#4574) (#4575)
[] Port to_tensor tests in test_transforms to pytest (#3966)
[] Add warning for files with corrupt containers (#3961)
[] Port some test_random_xxx in test_transforms to pytest (#3972)
[ci] Ignore missing report warning for requests (#4011)
[ci] add filter for binary_linux_wheel_py3.7_cpu (#3998)
[ci] rm install_cuda_compatible_cmath (#4388)
[ci] enable windows cuda unit tests (#4421)
[ci] [CircleCI] s/gpu.small/gpu.nvidia.small/ (#4482)
[ci] Install missing stubs for mypy (#4014)
[ci] update cuda version in unittest_windows_gpu (#4475)
[ci] [iOS] podspec file for Cocoapods release, pod name: LibTorchvision (#4055) (#4074)
[ci] fix MacOS cmake workflow (#4203)
[ci] Only tag merger if PR isn't properly labeled, not all reviewers (#4081)
[ci] Overwrite the existing dlls while unzipping (#4394)
[ci] Don't install torchvision as editable mode when not needed (#4179)
[ci] FIX CMAKE_WINDOWS_GPU workflow (#4419)
[ci] Fix for macos wheel build by ignoring missing dependencies after delocate version update (#4201)
[ci] always run build_docs in CI (#4053)
[ci] Ignore direnv files (#4200)
[ci] Do not install lame when building torchvision (#4162)
[ci] Update PyTorch version in android workflow (#4202)
[ci] Remove special versioning suffix rules for CUDA 10.2 (#4065)
[ci] [android] Add mavenCentral repository for release publishing (#4067)
[ci] Remove deprecated CI vars. (#3928)
[datasets] Faster dataset indexing (#3939)
[datasets] add API for new style datasets (#4473)
[datasets] Added LFW Dataset (#4255)
[datasets] [FBcode->GH] Enable analytics logging for MNIST and CIFAR (#4090)
[datasets] [FBcode->GH] Moving logging on base class. (#4319)
[datasets] cleanup prototype datasets (#4471)
[datasets] add prototype image folder dataset (#4441)
[datasets] add prototypes for `Caltech(101|256)` datasets (#4510)
[documentation] fix fx example so that it works with MaskRCNN (#4376)
[documentation] added serialization note to models docs (#4361)
[documentation] Fix note about model serialization BC guarantee (#4363)
[documentation] Adding docs for RandAugment (#4349)
[documentation] Small typo on IntermediateLayerGetter (#4362)
[documentation] fix dependency table (#4308)
[documentation] [docs] descriptive comments of the decoder C++ api (#3754)
[documentation] Change transforms gallery thumbnail (#4505)
[documentation] Fix minor typo in bug report template (#4503)
[documentation] Add Docs for `VisionDataset` (#3863)
[documentation] Rewrite gallery example for masks to boxes. (#4484)
[documentation] Remove old notebook examples and point to the online gallery (#4244)
[documentation] Update sphinx to 3.5.4 (#4318)
[documentation] Update docstring for RandAugment (#4457)
[documentation] Fixed typo in gallery example (#4352)
[documentation] Added documentation for video backend (#4382)
[datasets, documentation] Fix docstring of Caltech101 dataset (#4342)
[datasets, documentation] Update UCF101 docstring (#4275)
[models, documentation] Clarification for training resnext101_32x8d on ImageNet (#4390)
[reference scripts, documentation] Updated references Readme files with torchrun instead of distributed.launch (#4451)
[reference scripts, documentation] Fix default in docs of references/video_classification/train.py  (#3409)
[io] Fix size_t issues across JPEG versions and platforms (#4439)
[io, tests] Fixed read_image bug (#3948)
[io, video] Fixed missing audio with video_reader backend (#3934)
[io, video] addressing #3805: remove deprecated function call 3 (#3861)
[io, video, tests] Added check for invalid input file (#3932)
[io, video, tests] Fixed missing audio with pyav backend (#4064)
[models] Allow custom activation in SqueezeExcitation of EfficientNet (#4448)
[models] Change torch.arange dtype from torch.float32 to torch.int32 in anchor_utils.py (#4395) (#4409)
[models] Added paper references to detection models (#4383)
[models] Update Regnet model weights (#4530) (#4550)
[models] Add RegNet Architecture in TorchVision (#4403)
[models, tests] Speedup the slow tests of detection models (#3929)
[ops] Fixes deform_conv issue with large input/output  (#4351)
[ops] [FBcode->GH] Port quantize_val and dequantize_val into torchvision to avoid at::native and android xplat incompatibility (#4311)
[ops] [FBcode->GH] Support opt mode for torchvision ops (#4080)
[ops, tests] Add JIT tests (#4472)
[reference scripts] Added update_parameters to EMA to fix calculation (#4406)
[reference scripts] Cleaned-up coco evaluation code (#4453)
[reference scripts] Warmup schedulers in References (#4411)
[reference scripts] Added Exponential Moving Average support to classification reference script (#4381)
[reference scripts] Further enhance Classification Reference (#4444)
[reference scripts] Replaced to_tensor() with pil_to_tensor() + convert_image_dtype() (#4452)
[reference scripts] Update the metrics output on reference scripts (#4408)
[reference scripts] Updated model-ema-decay default to 0.9 (#4407)
[tests] [FBcode->GH] [jit] Make operation call accept Stack& instead Stack* (#63414) (#4380)
[tests] Add check for fx compatibility on segmentation and video models (#4131)
[tests] [FBcode->GH] Better logic for ignoring CPU tests on GPU CI machines (#4025) (#4062)
[tests] Skip building torchvision with ffmpeg when python==3.9 (#4417)
[tests] Port test_internet.py to pytest and add pytest-mock dependency (#4032)
[tests] Mock redirection logic for tests (#4197)
[tests] remove dependency for dtype getters (#4291)
[tests] Port test/test_io.py to pytest (#3922)
[tests] make tests that involve GDrive more robust (#4454)
[tests] Improve model parameterization on tests (#3926)
[ci, tests] add `pytest.ini` (#4196)
[ci, tests] Better logic for ignoring CPU tests on GPU CI machines (#4025)
[ci, tests] Skip some CPU-only tests on CircleCI machines with GPU (#4002)
[transforms] Explicitly copying array in pil_to_tensor (#4566) (#4573)
[transforms, documentation] Replaced example usage of ToTensor() by PILToTensor() + ConvertImageDtype() (#4494)
[transforms, documentation] Some typo fixes in transforms.rst (#4337)
[utils, documentation] Fix typo in plot_visualization_utils.py (#4340)
[video] Added warning message for unsupported ffmpeg version (#4041)
[video] Drop virtual from private member functions of Decoder class (#4027)
[video] Ignore platforms other than Linux for ffmpeg (#4410)
[video, tests] Removed test_audio_video_sync as it doesn't work as expected (#4050)

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