Update CI on Multiweight branch to use the new weight download approach #5628
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
* port Pad to prototype transforms * use literal
pytorch#5624) Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Vasilis Vryniotis <[email protected]>
* pre-download model weights in CI docs build * move changes into template * change docs image
# Conflicts: # .circleci/config.yml # .circleci/config.yml.in
💊 CI failures summary and remediationsAs of commit 85c6717 (more details on the Dr. CI page): 💚 💚 Looks good so far! There are no failures yet. 💚 💚 This comment was automatically generated by Dr. CI (expand for details).Please report bugs/suggestions to the (internal) Dr. CI Users group. |
datumbox
changed the title
pmeier
approved these changes
Mar 16, 2022
|
@pmeier You didn't miss anything. That's all. Just Github can't tell what change is from main and what's from the merge... I'll merge after the prototype, extended and build_docs jobs pass. |
datumbox
added a commit
that referenced
this pull request
Mar 22, 2022
* 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]>
lezwon
pushed a commit
to lezwon/vision
that referenced
this pull request
Mar 23, 2022
* 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 <[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 (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 <[email protected]> Co-authored-by: Vasilis Vryniotis <[email protected]> * 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 <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Anton Thomma <[email protected]> * 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 <[email protected]> Co-authored-by: Philip Meier <[email protected]> Co-authored-by: Anton Thomma <[email protected]> Co-authored-by: Anton Thomma <[email protected]>
pmeier
added a commit
that referenced
this pull request
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
pushed a commit
that referenced
this pull request
Apr 5, 2022
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 <[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]>
facebook-github-bot
pushed a commit
that referenced
this pull request
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]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Picking #5625 changes on CI
contains changes on main for a couple unrelated PRs.