Setting `weights_backbone` to its fully BC value #5653

datumbox · 2022-03-21T12:36:44Z

Related to #4679

facebook-github-bot · 2022-03-21T12:36:51Z

💊 CI failures summary and remediations

As of commit 7dcdd19 (more details on the Dr. CI page):

11/11 failures introduced in this PR

🕵️ 1 new failure recognized by patterns

The following CI failures do not appear to be due to upstream breakages:

unittest_linux_cpu_py3.9 (1/1)

Step: "Run tests" (full log | diagnosis details | 🔁 rerun)

/root/project/torchvision/io/video.py:406: Runt...log: [mov,mp4,m4a,3gp,3g2,mj2] moov atom not found

test/test_datasets_video_utils.py::TestVideo::test_video_clips_custom_fps
  /root/project/torchvision/datasets/video_utils.py:218: UserWarning: There aren't enough frames in the current video to get a clip for the given clip length and frames between clips. The video (and potentially others) will be skipped.
    warnings.warn(

test/test_image.py::test_decode_png[L-ImageReadMode.GRAY-palette_pytorch.png]
test/test_image.py::test_decode_png[RGB-ImageReadMode.RGB-palette_pytorch.png]
  /root/project/env/lib/python3.9/site-packages/PIL/Image.py:945: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images
    warnings.warn(

test/test_io.py::TestVideo::test_read_video_timestamps_corrupted_file
  /root/project/torchvision/io/video.py:406: RuntimeWarning: Failed to open container for /tmp/tmpog14_1hi.mp4; Caught error: [Errno 1094995529] Invalid data found when processing input: '/tmp/tmpog14_1hi.mp4'; last error log: [mov,mp4,m4a,3gp,3g2,mj2] moov atom not found
    warnings.warn(msg, RuntimeWarning)

test/test_models.py::test_memory_efficient_densenet[densenet121]
test/test_models.py::test_memory_efficient_densenet[densenet169]
test/test_models.py::test_memory_efficient_densenet[densenet201]
test/test_models.py::test_memory_efficient_densenet[densenet161]
  /root/project/env/lib/python3.9/site-packages/torch/nn/modules/module.py:1383: UserWarning: positional arguments and argument "destination" are deprecated. nn.Module.state_dict will not accept them in the future. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.
    warnings.warn(

test/test_models.py::test_memory_efficient_densenet[densenet121]

10 failures not recognized by patterns:

Job	Step	Action
^{cmake_linux_gpu}	^{Build torchvision C++ distribution and test}	🔁 rerun
^{binary_linux_conda_py3.10_cu113}	^{packaging/build_conda.sh}	🔁 rerun
^{binary_linux_conda_py3.10_cu102}	^{packaging/build_conda.sh}	🔁 rerun
^{unittest_linux_gpu_py3.8}	^{Install torchvision}	🔁 rerun
^{binary_linux_conda_py3.9_cu102}	^{packaging/build_conda.sh}	🔁 rerun
^{binary_linux_conda_py3.7_cu113}	^{packaging/build_conda.sh}	🔁 rerun
^{binary_linux_conda_py3.8_cu102}	^{packaging/build_conda.sh}	🔁 rerun
^{binary_linux_conda_py3.8_cu113}	^{packaging/build_conda.sh}	🔁 rerun
^{binary_linux_conda_py3.9_cu113}	^{packaging/build_conda.sh}	🔁 rerun
^{binary_linux_conda_py3.7_cu102}	^{packaging/build_conda.sh}	🔁 rerun

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* Moving basefiles outside of prototype and porting Alexnet, ConvNext, Densenet and EfficientNet. * Porting googlenet * Porting inception * Porting mnasnet * Porting mobilenetv2 * Porting mobilenetv3 * Porting regnet * Porting resnet * Porting shufflenetv2 * Porting squeezenet * Porting vgg * Porting vit * Fix docstrings * Fixing imports * Adding missing import * Fix mobilenet imports * Fix tests * Fix prototype tests * Exclude get_weight from models on test * Fix init files * Porting googlenet * Porting inception * porting mobilenetv2 * porting mobilenetv3 * porting resnet * porting shufflenetv2 * Fix test and linter * Fixing docs. * Porting Detection models (#5617) * fix inits * fix docs * Port faster_rcnn * Port fcos * Port keypoint_rcnn * Port mask_rcnn * Port retinanet * Port ssd * Port ssdlite * Fix linter * Fixing tests * Fixing tests * Fixing vgg test * Porting Optical Flow, Segmentation, Video models (#5619) * Porting raft * Porting video resnet * Porting deeplabv3 * Porting fcn and lraspp * Fixing the tests and linter * Porting docs, examples, tutorials and galleries (#5620) * Fix examples, tutorials and gallery * Update gallery/plot_optical_flow.py Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * Fix import * Revert hardcoded normalization * fix uncommitted changes * Fix bug * Fix more bugs * Making resize optional for segmentation * Fixing preset * Fix mypy * Fixing documentation strings * Fix flake8 * minor refactoring Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * Resolve conflict * Porting model tests (#5622) * Porting tests * Remove unnecessary variable * Fix linter * Move prototype to extended tests * Fix download models job * Update CI on Multiweight branch to use the new weight download approach (#5628) * port Pad to prototype transforms (#5621) * port Pad to prototype transforms * use literal * Bump up LibTorchvision version number for Podspec to release Cocoapods (#5624) Co-authored-by: Anton Thomma <anton@pri.co.nz> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com> * pre-download model weights in CI docs build (#5625) * pre-download model weights in CI docs build * move changes into template * change docs image * Regenerated config.yml Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz> * Porting reference scripts and updating presets (#5629) * Making _preset.py classes * Remove support of targets on presets. * Rewriting the video preset * Adding tests to check that the bundled transforms are JIT scriptable * Rename all presets from *Eval to *Inference * Minor refactoring * Remove --prototype and --pretrained from reference scripts * remove pretained_backbone refs * Corrections and simplifications * Fixing bug * Fixing linter * Fix flake8 * restore documentation example * minor fixes * fix optical flow missing param * Fixing commands * Adding weights_backbone support in detection and segmentation * Updating the commands for InceptionV3 * Setting `weights_backbone` to its fully BC value (#5653) * Replace default `weights_backbone=None` with its BC values. * Fixing tests * Fix linter * Update docs. * Update preprocessing on reference scripts. * Change qat/ptq to their full values. * Refactoring preprocessing * Fix video preset * No initialization on VGG if pretrained * Fix warning messages for backbone utils. * Adding star to all preset constructors. * Fix mypy. Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz>

* Moving basefiles outside of prototype and porting Alexnet, ConvNext, Densenet and EfficientNet. * Porting googlenet * Porting inception * Porting mnasnet * Porting mobilenetv2 * Porting mobilenetv3 * Porting regnet * Porting resnet * Porting shufflenetv2 * Porting squeezenet * Porting vgg * Porting vit * Fix docstrings * Fixing imports * Adding missing import * Fix mobilenet imports * Fix tests * Fix prototype tests * Exclude get_weight from models on test * Fix init files * Porting googlenet * Porting inception * porting mobilenetv2 * porting mobilenetv3 * porting resnet * porting shufflenetv2 * Fix test and linter * Fixing docs. * Porting Detection models (pytorch#5617) * fix inits * fix docs * Port faster_rcnn * Port fcos * Port keypoint_rcnn * Port mask_rcnn * Port retinanet * Port ssd * Port ssdlite * Fix linter * Fixing tests * Fixing tests * Fixing vgg test * Porting Optical Flow, Segmentation, Video models (pytorch#5619) * Porting raft * Porting video resnet * Porting deeplabv3 * Porting fcn and lraspp * Fixing the tests and linter * Porting docs, examples, tutorials and galleries (pytorch#5620) * Fix examples, tutorials and gallery * Update gallery/plot_optical_flow.py Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * Fix import * Revert hardcoded normalization * fix uncommitted changes * Fix bug * Fix more bugs * Making resize optional for segmentation * Fixing preset * Fix mypy * Fixing documentation strings * Fix flake8 * minor refactoring Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * Resolve conflict * Porting model tests (pytorch#5622) * Porting tests * Remove unnecessary variable * Fix linter * Move prototype to extended tests * Fix download models job * Update CI on Multiweight branch to use the new weight download approach (pytorch#5628) * port Pad to prototype transforms (pytorch#5621) * port Pad to prototype transforms * use literal * Bump up LibTorchvision version number for Podspec to release Cocoapods (pytorch#5624) Co-authored-by: Anton Thomma <anton@pri.co.nz> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com> * pre-download model weights in CI docs build (pytorch#5625) * pre-download model weights in CI docs build * move changes into template * change docs image * Regenerated config.yml Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz> * Porting reference scripts and updating presets (pytorch#5629) * Making _preset.py classes * Remove support of targets on presets. * Rewriting the video preset * Adding tests to check that the bundled transforms are JIT scriptable * Rename all presets from *Eval to *Inference * Minor refactoring * Remove --prototype and --pretrained from reference scripts * remove pretained_backbone refs * Corrections and simplifications * Fixing bug * Fixing linter * Fix flake8 * restore documentation example * minor fixes * fix optical flow missing param * Fixing commands * Adding weights_backbone support in detection and segmentation * Updating the commands for InceptionV3 * Setting `weights_backbone` to its fully BC value (pytorch#5653) * Replace default `weights_backbone=None` with its BC values. * Fixing tests * Fix linter * Update docs. * Update preprocessing on reference scripts. * Change qat/ptq to their full values. * Refactoring preprocessing * Fix video preset * No initialization on VGG if pretrained * Fix warning messages for backbone utils. * Adding star to all preset constructors. * Fix mypy. Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz>

* added usps dataset * fixed type issues * fix mobilnet norm layer test (#5643) * xfail mobilnet norm layer test * fix test * More robust check in tests for 16 bits images (#5652) * Prefer nvidia channel for conda builds (#5648) To mitigate missing `libcupti.so` dependency * fix torchdata CI installation (#5657) * update urls for kinetics dataset (#5578) * update urls for kinetics dataset * update urls for kinetics dataset * remove errors * update the changes and add test option to split * added test to valid values for split arg * change .txt to .csv for annotation url of k600 Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * Port Multi-weight support from prototype to main (#5618) * Moving basefiles outside of prototype and porting Alexnet, ConvNext, Densenet and EfficientNet. * Porting googlenet * Porting inception * Porting mnasnet * Porting mobilenetv2 * Porting mobilenetv3 * Porting regnet * Porting resnet * Porting shufflenetv2 * Porting squeezenet * Porting vgg * Porting vit * Fix docstrings * Fixing imports * Adding missing import * Fix mobilenet imports * Fix tests * Fix prototype tests * Exclude get_weight from models on test * Fix init files * Porting googlenet * Porting inception * porting mobilenetv2 * porting mobilenetv3 * porting resnet * porting shufflenetv2 * Fix test and linter * Fixing docs. * Porting Detection models (#5617) * fix inits * fix docs * Port faster_rcnn * Port fcos * Port keypoint_rcnn * Port mask_rcnn * Port retinanet * Port ssd * Port ssdlite * Fix linter * Fixing tests * Fixing tests * Fixing vgg test * Porting Optical Flow, Segmentation, Video models (#5619) * Porting raft * Porting video resnet * Porting deeplabv3 * Porting fcn and lraspp * Fixing the tests and linter * Porting docs, examples, tutorials and galleries (#5620) * Fix examples, tutorials and gallery * Update gallery/plot_optical_flow.py Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * Fix import * Revert hardcoded normalization * fix uncommitted changes * Fix bug * Fix more bugs * Making resize optional for segmentation * Fixing preset * Fix mypy * Fixing documentation strings * Fix flake8 * minor refactoring Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * Resolve conflict * Porting model tests (#5622) * Porting tests * Remove unnecessary variable * Fix linter * Move prototype to extended tests * Fix download models job * Update CI on Multiweight branch to use the new weight download approach (#5628) * port Pad to prototype transforms (#5621) * port Pad to prototype transforms * use literal * Bump up LibTorchvision version number for Podspec to release Cocoapods (#5624) Co-authored-by: Anton Thomma <anton@pri.co.nz> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com> * pre-download model weights in CI docs build (#5625) * pre-download model weights in CI docs build * move changes into template * change docs image * Regenerated config.yml Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz> * Porting reference scripts and updating presets (#5629) * Making _preset.py classes * Remove support of targets on presets. * Rewriting the video preset * Adding tests to check that the bundled transforms are JIT scriptable * Rename all presets from *Eval to *Inference * Minor refactoring * Remove --prototype and --pretrained from reference scripts * remove pretained_backbone refs * Corrections and simplifications * Fixing bug * Fixing linter * Fix flake8 * restore documentation example * minor fixes * fix optical flow missing param * Fixing commands * Adding weights_backbone support in detection and segmentation * Updating the commands for InceptionV3 * Setting `weights_backbone` to its fully BC value (#5653) * Replace default `weights_backbone=None` with its BC values. * Fixing tests * Fix linter * Update docs. * Update preprocessing on reference scripts. * Change qat/ptq to their full values. * Refactoring preprocessing * Fix video preset * No initialization on VGG if pretrained * Fix warning messages for backbone utils. * Adding star to all preset constructors. * Fix mypy. Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz> * Apply suggestions from code review Co-authored-by: Philip Meier <github.pmeier@posteo.de> * use decompressor for extracting bz2 * Apply suggestions from code review Co-authored-by: Philip Meier <github.pmeier@posteo.de> * Apply suggestions from code review Co-authored-by: Philip Meier <github.pmeier@posteo.de> * fixed lint fails * added tests for USPS * check image shape * fix tests * check shape on image directly * Apply suggestions from code review Co-authored-by: Philip Meier <github.pmeier@posteo.de> * removed test and comments * Update test/test_prototype_builtin_datasets.py Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Nikita Shulga <nshulga@fb.com> Co-authored-by: Sahil Goyal <sahilgoyal6801@gmail.com> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz>

Summary: * Moving basefiles outside of prototype and porting Alexnet, ConvNext, Densenet and EfficientNet. * Porting googlenet * Porting inception * Porting mnasnet * Porting mobilenetv2 * Porting mobilenetv3 * Porting regnet * Porting resnet * Porting shufflenetv2 * Porting squeezenet * Porting vgg * Porting vit * Fix docstrings * Fixing imports * Adding missing import * Fix mobilenet imports * Fix tests * Fix prototype tests * Exclude get_weight from models on test * Fix init files * Porting googlenet * Porting inception * porting mobilenetv2 * porting mobilenetv3 * porting resnet * porting shufflenetv2 * Fix test and linter * Fixing docs. * Porting Detection models (#5617) * fix inits * fix docs * Port faster_rcnn * Port fcos * Port keypoint_rcnn * Port mask_rcnn * Port retinanet * Port ssd * Port ssdlite * Fix linter * Fixing tests * Fixing tests * Fixing vgg test * Porting Optical Flow, Segmentation, Video models (#5619) * Porting raft * Porting video resnet * Porting deeplabv3 * Porting fcn and lraspp * Fixing the tests and linter * Porting docs, examples, tutorials and galleries (#5620) * Fix examples, tutorials and gallery * Update gallery/plot_optical_flow.py * Fix import * Revert hardcoded normalization * fix uncommitted changes * Fix bug * Fix more bugs * Making resize optional for segmentation * Fixing preset * Fix mypy * Fixing documentation strings * Fix flake8 * minor refactoring * Resolve conflict * Porting model tests (#5622) * Porting tests * Remove unnecessary variable * Fix linter * Move prototype to extended tests * Fix download models job * Update CI on Multiweight branch to use the new weight download approach (#5628) * port Pad to prototype transforms (#5621) * port Pad to prototype transforms * use literal * Bump up LibTorchvision version number for Podspec to release Cocoapods (#5624) * pre-download model weights in CI docs build (#5625) * pre-download model weights in CI docs build * move changes into template * change docs image * Regenerated config.yml * Porting reference scripts and updating presets (#5629) * Making _preset.py classes * Remove support of targets on presets. * Rewriting the video preset * Adding tests to check that the bundled transforms are JIT scriptable * Rename all presets from *Eval to *Inference * Minor refactoring * Remove --prototype and --pretrained from reference scripts * remove pretained_backbone refs * Corrections and simplifications * Fixing bug * Fixing linter * Fix flake8 * restore documentation example * minor fixes * fix optical flow missing param * Fixing commands * Adding weights_backbone support in detection and segmentation * Updating the commands for InceptionV3 * Setting `weights_backbone` to its fully BC value (#5653) * Replace default `weights_backbone=None` with its BC values. * Fixing tests * Fix linter * Update docs. * Update preprocessing on reference scripts. * Change qat/ptq to their full values. * Refactoring preprocessing * Fix video preset * No initialization on VGG if pretrained * Fix warning messages for backbone utils. * Adding star to all preset constructors. * Fix mypy. (Note: this ignores all push blocking failures!) Reviewed By: datumbox Differential Revision: D35216786 fbshipit-source-id: 0278c291d89b1d5e90a51d113ce226d807d067e5 Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Anton Thomma <anton@pri.co.nz> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz>

Summary: * added usps dataset * fixed type issues * fix mobilnet norm layer test (#5643) * xfail mobilnet norm layer test * fix test * More robust check in tests for 16 bits images (#5652) * Prefer nvidia channel for conda builds (#5648) To mitigate missing `libcupti.so` dependency * fix torchdata CI installation (#5657) * update urls for kinetics dataset (#5578) * update urls for kinetics dataset * update urls for kinetics dataset * remove errors * update the changes and add test option to split * added test to valid values for split arg * change .txt to .csv for annotation url of k600 * Port Multi-weight support from prototype to main (#5618) * Moving basefiles outside of prototype and porting Alexnet, ConvNext, Densenet and EfficientNet. * Porting googlenet * Porting inception * Porting mnasnet * Porting mobilenetv2 * Porting mobilenetv3 * Porting regnet * Porting resnet * Porting shufflenetv2 * Porting squeezenet * Porting vgg * Porting vit * Fix docstrings * Fixing imports * Adding missing import * Fix mobilenet imports * Fix tests * Fix prototype tests * Exclude get_weight from models on test * Fix init files * Porting googlenet * Porting inception * porting mobilenetv2 * porting mobilenetv3 * porting resnet * porting shufflenetv2 * Fix test and linter * Fixing docs. * Porting Detection models (#5617) * fix inits * fix docs * Port faster_rcnn * Port fcos * Port keypoint_rcnn * Port mask_rcnn * Port retinanet * Port ssd * Port ssdlite * Fix linter * Fixing tests * Fixing tests * Fixing vgg test * Porting Optical Flow, Segmentation, Video models (#5619) * Porting raft * Porting video resnet * Porting deeplabv3 * Porting fcn and lraspp * Fixing the tests and linter * Porting docs, examples, tutorials and galleries (#5620) * Fix examples, tutorials and gallery * Update gallery/plot_optical_flow.py * Fix import * Revert hardcoded normalization * fix uncommitted changes * Fix bug * Fix more bugs * Making resize optional for segmentation * Fixing preset * Fix mypy * Fixing documentation strings * Fix flake8 * minor refactoring * Resolve conflict * Porting model tests (#5622) * Porting tests * Remove unnecessary variable * Fix linter * Move prototype to extended tests * Fix download models job * Update CI on Multiweight branch to use the new weight download approach (#5628) * port Pad to prototype transforms (#5621) * port Pad to prototype transforms * use literal * Bump up LibTorchvision version number for Podspec to release Cocoapods (#5624) * pre-download model weights in CI docs build (#5625) * pre-download model weights in CI docs build * move changes into template * change docs image * Regenerated config.yml * Porting reference scripts and updating presets (#5629) * Making _preset.py classes * Remove support of targets on presets. * Rewriting the video preset * Adding tests to check that the bundled transforms are JIT scriptable * Rename all presets from *Eval to *Inference * Minor refactoring * Remove --prototype and --pretrained from reference scripts * remove pretained_backbone refs * Corrections and simplifications * Fixing bug * Fixing linter * Fix flake8 * restore documentation example * minor fixes * fix optical flow missing param * Fixing commands * Adding weights_backbone support in detection and segmentation * Updating the commands for InceptionV3 * Setting `weights_backbone` to its fully BC value (#5653) * Replace default `weights_backbone=None` with its BC values. * Fixing tests * Fix linter * Update docs. * Update preprocessing on reference scripts. * Change qat/ptq to their full values. * Refactoring preprocessing * Fix video preset * No initialization on VGG if pretrained * Fix warning messages for backbone utils. * Adding star to all preset constructors. * Fix mypy. * Apply suggestions from code review * use decompressor for extracting bz2 * Apply suggestions from code review * Apply suggestions from code review * fixed lint fails * added tests for USPS * check image shape * fix tests * check shape on image directly * Apply suggestions from code review * removed test and comments * Update test/test_prototype_builtin_datasets.py (Note: this ignores all push blocking failures!) Reviewed By: datumbox Differential Revision: D35216783 fbshipit-source-id: 556a63a89f15d1541ac2b479244a7b6c564eff14 Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Anton Thomma <anton@pri.co.nz> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Nikita Shulga <nshulga@fb.com> Co-authored-by: Sahil Goyal <sahilgoyal6801@gmail.com> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com> Co-authored-by: Anton Thomma <11010310+thommaa@users.noreply.github.com> Co-authored-by: Anton Thomma <anton@pri.co.nz>

datumbox added 3 commits March 21, 2022 12:12

Replace default weights_backbone=None with its BC values.

c878769

Fixing tests

f435950

Fix linter

7dcdd19

pytorch-bot bot added the ciflow/default label Mar 21, 2022

facebook-github-bot added the cla signed label Mar 21, 2022

datumbox requested review from jdsgomes and NicolasHug and removed request for jdsgomes March 21, 2022 12:37

datumbox merged commit f51d5f8 into pytorch:multiweight Mar 21, 2022

datumbox deleted the bc/backbone_weights branch March 21, 2022 12:39

datumbox linked an issue Mar 21, 2022 that may be closed by this pull request

Move new model builders from Prototype to main TorchVision #4679

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datumbox added enhancement module: models labels Mar 21, 2022

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Setting `weights_backbone` to its fully BC value #5653

Setting `weights_backbone` to its fully BC value #5653

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Setting weights_backbone to its fully BC value #5653

Setting weights_backbone to its fully BC value #5653

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💊 CI failures summary and remediations

🕵️ 1 new failure recognized by patterns

unittest_linux_cpu_py3.9 (1/1)

10 failures not recognized by patterns:

Setting `weights_backbone` to its fully BC value #5653

Setting `weights_backbone` to its fully BC value #5653

datumbox commented Mar 21, 2022 •

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