1. 21 Apr, 2022 1 commit
  2. 19 Apr, 2022 1 commit
  3. 13 Apr, 2022 1 commit
  4. 08 Apr, 2022 2 commits
  5. 07 Apr, 2022 1 commit
    • Philip Meier's avatar
      Refactor and simplify prototype datasets (#5778) · 1ac6e8b9
      Philip Meier authored
      
      
      * refactor prototype datasets to inherit from IterDataPipe (#5448)
      
      * refactor prototype datasets to inherit from IterDataPipe
      
      * depend on new architecture
      
      * fix missing file detection
      
      * remove unrelated file
      
      * reinstante decorator for mock registering
      
      * options -> config
      
      * remove passing of info to mock data functions
      
      * refactor categories file generation
      
      * fix imagenet
      
      * fix prototype datasets data loading tests (#5711)
      
      * reenable serialization test
      
      * cleanup
      
      * fix dill test
      
      * trigger CI
      
      * patch DILL_AVAILABLE for pickle serialization
      
      * revert CI changes
      
      * remove dill test and traversable test
      
      * add data loader test
      
      * parametrize over only_datapipe
      
      * draw one sample rather than exhaust data loader
      
      * cleanup
      
      * trigger CI
      
      * migrate VOC prototype dataset (#5743)
      
      * migrate VOC prototype dataset
      
      * cleanup
      
      * revert unrelated mock data changes
      
      * remove categories annotations
      
      * move properties to constructor
      
      * readd homepage
      
      * migrate CIFAR prototype datasets (#5751)
      
      * migrate country211 prototype dataset (#5753)
      
      * migrate CLEVR prototype datsaet (#5752)
      
      * migrate coco prototype (#5473)
      
      * migrate coco prototype
      
      * revert unrelated change
      
      * add kwargs to super constructor call
      
      * remove unneeded changes
      
      * fix docstring position
      
      * make kwargs explicit
      
      * add dependencies to docstring
      
      * fix missing dependency message
      
      * Migrate PCAM prototype dataset (#5745)
      
      * Port PCAM
      
      * skip_integrity_check
      
      * Update torchvision/prototype/datasets/_builtin/pcam.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * Address comments
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * Migrate DTD prototype dataset (#5757)
      
      * Migrate DTD prototype dataset
      
      * Docstring
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * Migrate GTSRB prototype dataset (#5746)
      
      * Migrate GTSRB prototype dataset
      
      * ufmt
      
      * Address comments
      
      * Apparently mypy doesn't know that __len__ returns ints. How cute.
      
      * why is the CI not triggered??
      
      * Update torchvision/prototype/datasets/_builtin/gtsrb.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * migrate CelebA prototype dataset (#5750)
      
      * migrate CelebA prototype dataset
      
      * inline split_id
      
      * Migrate Food101 prototype dataset (#5758)
      
      * Migrate Food101 dataset
      
      * Added length
      
      * Update torchvision/prototype/datasets/_builtin/food101.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * Migrate Fer2013 prototype dataset (#5759)
      
      * Migrate Fer2013 prototype dataset
      
      * Update torchvision/prototype/datasets/_builtin/fer2013.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * Migrate EuroSAT prototype dataset (#5760)
      
      * Migrate Semeion prototype dataset (#5761)
      
      * migrate caltech prototype datasets (#5749)
      
      * migrate caltech prototype datasets
      
      * resolve third party dependencies
      
      * Migrate Oxford Pets prototype dataset (#5764)
      
      * Migrate Oxford Pets prototype dataset
      
      * Update torchvision/prototype/datasets/_builtin/oxford_iiit_pet.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * migrate mnist prototype datasets (#5480)
      
      * migrate MNIST prototype datasets
      
      * Update torchvision/prototype/datasets/_builtin/mnist.py
      Co-authored-by: default avatarNicolas Hug <contact@nicolas-hug.com>
      Co-authored-by: default avatarNicolas Hug <contact@nicolas-hug.com>
      
      * Migrate Stanford Cars prototype dataset (#5767)
      
      * Migrate Stanford Cars prototype dataset
      
      * Address comments
      
      * fix category file generation (#5770)
      
      * fix category file generation
      
      * revert unrelated change
      
      * revert unrelated change
      
      * migrate cub200 prototype dataset (#5765)
      
      * migrate cub200 prototype dataset
      
      * address comments
      
      * fix category-file-generation
      
      * Migrate USPS prototype dataset (#5771)
      
      * migrate SBD prototype dataset (#5772)
      
      * migrate SBD prototype dataset
      
      * reuse categories
      
      * Migrate SVHN prototype dataset (#5769)
      
      * add test to enforce __len__ is working on prototype datasets (#5742)
      
      * reactivate special dataset tests
      
      * add missing annotation
      
      * Cleanup prototype dataset implementation (#5774)
      
      * Remove Dataset2 class
      
      * Move read_categories_file out of DatasetInfo
      
      * Remove FrozenBunch and FrozenMapping
      
      * Remove test_prototype_datasets_api.py and move missing dep test somewhere else
      
      * ufmt
      
      * Let read_categories_file accept names instead of paths
      
      * Mypy
      
      * flake8
      
      * fix category file reading
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * update prototype dataset README (#5777)
      
      * update prototype dataset README
      
      * fix header level
      
      * Apply suggestions from code review
      Co-authored-by: default avatarNicolas Hug <contact@nicolas-hug.com>
      Co-authored-by: default avatarNicolas Hug <contact@nicolas-hug.com>
      Co-authored-by: default avatarNicolas Hug <contact@nicolas-hug.com>
      1ac6e8b9
  6. 05 Apr, 2022 2 commits
    • Vasilis Vryniotis's avatar
      Post-paper Detection Optimizations (#5444) · 08cc9a7f
      Vasilis Vryniotis authored
      * Use frozen BN only if pre-trained.
      
      * Add LSJ and ability to from scratch training.
      
      * Fixing formatter
      
      * Adding `--opt` and `--norm-weight-decay` support in Detection.
      
      * Fix error message
      
      * Make ScaleJitter proportional.
      
      * Adding more norm layers in split_normalization_params.
      
      * Add FixedSizeCrop
      
      * Temporary fix for fill values on PIL
      
      * Fix the bug on fill.
      
      * Add RandomShortestSize.
      
      * Skip resize when an augmentation method is used.
      
      * multiscale in [480, 800]
      
      * Add missing star
      
      * Add new RetinaNet variant.
      
      * Add tests.
      
      * Update expected file for old retina
      
      * Fixing tests
      
      * Add FrozenBN to retinav2
      
      * Fix network initialization issues
      
      * Adding BN support in MaskRCNNHeads and FPN
      
      * Adding support of FasterRCNNHeads
      
      * Introduce norm_layers in backbone utils.
      
      * Bigger RPN head + 2x rcnn v2 models.
      
      * Adding gIoU support to retinanet
      
      * Fix assert
      
      * Add back nesterov momentum
      
      * Rename and extend `FastRCNNConvFCHead` to support arbitrary FCs
      
      * Fix linter
      08cc9a7f
    • YosuaMichael's avatar
      Adding the huge vision transformer from SWAG (#5721) · 63576c9f
      YosuaMichael authored
      
      
      * Add vit_b_16_swag
      
      * Better handling idiom for image_size, edit test_extended_model to handle case where number of param differ from default due to different image size input
      
      * Update the accuracy to the experiment result on torchvision model
      
      * Fix typo missing underscore
      
      * raise exception instead of torch._assert, add back publication year (accidentally deleted)
      
      * Add license information on meta and readme
      
      * Improve wording and fix typo for pretrained model license in readme
      
      * Add vit_l_16 weight
      
      * Update README.rst
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      
      * Update the accuracy meta on vit_l_16_swag model to result from our experiment
      
      * Add vit_h_14_swag model
      
      * Add accuracy from experiments
      
      * Add to vit_h_16 model to hubconf.py
      
      * Add docs and expected pkl file for test
      
      * Remove legacy compatibility for ViT_H_14 model
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      
      * Test vit_h_14 with smaller image_size to speedup the test
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      63576c9f
  7. 04 Apr, 2022 3 commits
    • Philip Meier's avatar
      port image type conversion transforms to prototype API (#5640) · 095cabb7
      Philip Meier authored
      
      
      * port image type conversion transforms to prototype API
      
      * implement proposal for image type conversion
      
      * add deprecation warnings
      
      * appease mypy
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      095cabb7
    • vfdev's avatar
      [proto] Added functional `rotate_segmentation_mask` op (#5692) · 3130b457
      vfdev authored
      * Added functional affine_bounding_box op with tests
      
      * Updated comments and added another test case
      
      * Update _geometry.py
      
      * Added affine_segmentation_mask with tests
      
      * Fixed device mismatch issue
      Added a cude/cpu test
      Reduced the number of test samples
      
      * Added test_correctness_affine_segmentation_mask_on_fixed_input
      
      * Updates according to the review
      
      * Replaced [None, ...] by [None, :]
      
      * Adressed review comments
      
      * Fixed formatting and more updates according to the review
      
      * Fixed bad merge
      
      * WIP
      
      * Fixed tests
      
      * Updated warning message
      3130b457
    • Yassine Alouini's avatar
      Food101 new dataset api (#5584) · 31e503f1
      Yassine Alouini authored
      
      
      * [FEAT] Start implementing Food101 using the new datasets API. WIP.
      
      * [FEAT] Generate Food101 categories and start the test mock.
      
      * [FEAT] food101 dataset code seems to work now.
      
      * [TEST] food101 mock update.
      
      * [FIX] Some fixes thanks to running food101 tests.
      
      * [FIX] Fix mypy checks for the food101 file.
      
      * [FIX] Remove unused numpy.
      
      * [FIX] Some changes thanks to code review.
      
      * [ENH] More idomatic dataset code thanks to code review.
      
      * [FIX] Remove unused cast.
      
      * [ENH] Set decompress and extract to True for some performance gains.
      
      * [FEAT] Use the preprocess=decompress keyword.
      
      * [ENH] Use the train and test.txt file instead of the .json variants and simplify code + update mock data.
      
      * [ENH] Better food101 mock data generation.
      
      * [FIX] Remove a useless print.
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      31e503f1
  8. 01 Apr, 2022 3 commits
  9. 30 Mar, 2022 1 commit
  10. 29 Mar, 2022 1 commit
  11. 28 Mar, 2022 1 commit
  12. 25 Mar, 2022 3 commits
    • Philip Meier's avatar
      Turn warnings in prototype datasets tests into errors (#5540) · 43dbfd2e
      Philip Meier authored
      * fix PCAM prototype dataset
      
      * update Zip and Tar archive loader datapipes
      
      * only fail on warnings from the pytorch ecosystem
      
      * Revert "only fail on warnings from the pytorch ecosystem"
      
      This reverts commit 2bf3aa6f2d875a4055f7f3ed0b468316fc60d4f4.
      43dbfd2e
    • vfdev's avatar
      Fixed rotate with expand inconsistency (#5677) · a26534c9
      vfdev authored
      * Fixed rotate with expand inconsistency between torch vs PIL on odd-sized images
      
      * Update functional_tensor.py
      a26534c9
    • Lezwon Castelino's avatar
      USPS dataset (#5647) · 71907be1
      Lezwon Castelino authored
      
      
      * 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: default avatarNicolas 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: default avatarNicolas 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: default avatarNicolas 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: default avatarAnton Thomma <anton@pri.co.nz>
      Co-authored-by: default avatarVasilis 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: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarAnton Thomma <11010310+thommaa@users.noreply.github.com>
      Co-authored-by: default avatarAnton 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: default avatarNicolas Hug <contact@nicolas-hug.com>
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarAnton Thomma <11010310+thommaa@users.noreply.github.com>
      Co-authored-by: default avatarAnton Thomma <anton@pri.co.nz>
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * use decompressor for extracting bz2
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * Apply suggestions from code review
      Co-authored-by: default avatarPhilip 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: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * removed test and comments
      
      * Update test/test_prototype_builtin_datasets.py
      Co-authored-by: default avatarNicolas Hug <contact@nicolas-hug.com>
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarNicolas Hug <contact@nicolas-hug.com>
      Co-authored-by: default avatarNikita Shulga <nshulga@fb.com>
      Co-authored-by: default avatarSahil Goyal <sahilgoyal6801@gmail.com>
      Co-authored-by: default avatarVasilis Vryniotis <datumbox@users.noreply.github.com>
      Co-authored-by: default avatarAnton Thomma <11010310+thommaa@users.noreply.github.com>
      Co-authored-by: default avatarAnton Thomma <anton@pri.co.nz>
      71907be1
  13. 23 Mar, 2022 4 commits
  14. 22 Mar, 2022 1 commit
    • Vasilis Vryniotis's avatar
      Port Multi-weight support from prototype to main (#5618) · 11bd2eaa
      Vasilis Vryniotis authored
      
      
      * 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: default avatarNicolas 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: default avatarNicolas 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: default avatarAnton Thomma <anton@pri.co.nz>
      Co-authored-by: default avatarVasilis 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: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarAnton Thomma <11010310+thommaa@users.noreply.github.com>
      Co-authored-by: default avatarAnton 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: default avatarNicolas Hug <contact@nicolas-hug.com>
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarAnton Thomma <11010310+thommaa@users.noreply.github.com>
      Co-authored-by: default avatarAnton Thomma <anton@pri.co.nz>
      11bd2eaa
  15. 21 Mar, 2022 1 commit
  16. 20 Mar, 2022 1 commit
  17. 17 Mar, 2022 1 commit
  18. 16 Mar, 2022 2 commits
  19. 15 Mar, 2022 2 commits
  20. 14 Mar, 2022 3 commits
  21. 11 Mar, 2022 3 commits
  22. 10 Mar, 2022 1 commit
    • Abhijit Deo's avatar
      Implementation of Stanford Cars prototype dataset (#5442) · a8bde781
      Abhijit Deo authored
      
      
      * basic stanford cars structure added.
      
      * added class in the init.
      
      * how to decode the images
      
      * fix typo in init
      
      * works partially
      
      * formatting
      
      * formatting
      
      * formatting
      
      * formatting
      
      * formatting
      
      * minor changes
      
      * minor changes
      
      * issue resolved
      
      * both datapipes are in sync
      
      * checksum dict keys changed
      
      * formatting
      
      * "ufmt formatting"
      
      * "ufmt formatting"
      
      * formatting
      
      * minor change
      
      * minor change
      
      * test added
      
      * lint (end of line issue)
      
      * lint (end of line issue)
      
      * minor changes
      
      * mock dataset formatting
      
      * minor changes
      
      * hopefully final
      
      * formatting
      
      * prototype test
      
      * prototype test
      
      * prototype test
      
      * prototype test
      
      * prototype test
      
      * prototype test
      
      * prototype test
      
      * prototype test
      
      * Update builtin_dataset_mocks.py
      
      * Update stanford_cars.py
      
      * Update torchvision/prototype/datasets/_builtin/stanford_cars.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * Update torchvision/prototype/datasets/_builtin/stanford_cars.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * Update torchvision/prototype/datasets/_builtin/stanford_cars.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * Update torchvision/prototype/datasets/_builtin/stanford_cars.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * formatting and cleaning
      
      * formatting and cleaning
      
      * Update torchvision/prototype/datasets/_builtin/stanford_cars.py
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      
      * generate catefories script
      
      * generate categories script added
      
      * sigh
      
      * sigh
      
      * sigh
      
      * minor changes
      
      * linting
      Co-authored-by: default avatarPhilip Meier <github.pmeier@posteo.de>
      Co-authored-by: default avatarNicolas Hug <contact@nicolas-hug.com>
      a8bde781
  23. 09 Mar, 2022 1 commit
    • Vasilis Vryniotis's avatar
      Speed up Model tests by 20% (#5574) · d0dede0e
      Vasilis Vryniotis authored
      * Measuring execution times of models.
      
      * Speed up models by avoiding re-estimation of eager output
      
      * Fixing linter
      
      * Reduce input size for big models
      
      * Speed up jit check method.
      
      * Add simple jitscript fallback check for flaky models.
      
      * Restore pytest filtering
      
      * Fixing linter
      d0dede0e