fix mobilnet norm layer test #5643
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💊 CI failures summary and remediationsAs of commit 516bc0c (more details on the Dr. CI page):
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lezwon
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Mar 23, 2022
* xfail mobilnet norm layer test * fix test
pmeier
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Mar 25, 2022
* 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 <[email protected]> * 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 <[email protected]> * 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 <[email protected]> * 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 <[email protected]> Co-authored-by: Vasilis Vryniotis <[email protected]> * 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 <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Anton Thomma <[email protected]> * 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 <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Anton Thomma <[email protected]> * Apply suggestions from code review Co-authored-by: Philip Meier <[email protected]> * use decompressor for extracting bz2 * Apply suggestions from code review Co-authored-by: Philip Meier <[email protected]> * Apply suggestions from code review Co-authored-by: Philip Meier <[email protected]> * 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 <[email protected]> * removed test and comments * Update test/test_prototype_builtin_datasets.py Co-authored-by: Nicolas Hug <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Nicolas Hug <[email protected]> Co-authored-by: Nikita Shulga <[email protected]> Co-authored-by: Sahil Goyal <[email protected]> Co-authored-by: Vasilis Vryniotis <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Anton Thomma <[email protected]>
facebook-github-bot
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Apr 5, 2022
Summary: * xfail mobilnet norm layer test * fix test (Note: this ignores all push blocking failures!) Reviewed By: datumbox Differential Revision: D35216784 fbshipit-source-id: f80a19dd68d6115f5347f4ccdc9ae3afb835d623
facebook-github-bot
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Apr 5, 2022
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 <[email protected]> Co-authored-by: Nicolas Hug <[email protected]> Co-authored-by: Nicolas Hug <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Vasilis Vryniotis <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Nicolas Hug <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Nicolas Hug <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Nicolas Hug <[email protected]> Co-authored-by: Nikita Shulga <[email protected]> Co-authored-by: Sahil Goyal <[email protected]> Co-authored-by: Vasilis Vryniotis <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Anton Thomma <[email protected]>
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Fixes #5642. IIUC, the test only check if one can pass a custom
norm_layerand it will actually embedded into the model. Thus, the parametrization of the layer should have no effect.