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Tags: facebookresearch/ClassyVision

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v0.7.0

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Update requirements and README (#801)

Summary: Pull Request resolved: #801

Reviewed By: QuentinDuval

Differential Revision: D44156956

Pulled By: mannatsingh

fbshipit-source-id: a32399a4dc8f798a4ef4696112b28660ed657c8b

v0.6.0

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Update mixup transform to be compatible with latest pytorch (#753)

Summary:
Pull Request resolved: #753

Pull Request resolved: fairinternal/ClassyVision#97

`torch.clip` is an alias for `torch.clamp`, see https://pytorch.org/docs/stable/generated/torch.clip.html?highlight=clip#torch.clip

and `torch.clip` is no longer in the latest pytorch version

Updated `fairscale` dependency to resolve cpu/gpu test circleci failures: https://app.circleci.com/pipelines/github/facebookresearch/ClassyVision/2201/workflows/e3b37369-677c-4a08-8b4b-5c5c217c5560/jobs/4322

Reviewed By: mannatsingh

Differential Revision: D29520476

fbshipit-source-id: 584f079762bc4c6de644cc7595232109b364b4db

v0.5.0

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Open source AutoAugment (#655)

Summary:
Pull Request resolved: #655

Open source the autoaugment implementation

Reviewed By: vreis

Differential Revision: D24940146

fbshipit-source-id: 93bf8d61afcdc1c623a697776efcab52971984e3

v0.4.0

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Profiler bug-fixes and improvements (#482)

Summary:
Pull Request resolved: #482

Made the following changes to the profiler code -
- The parameter calculation skipped parameters defined in modules, and had unnecessary complexity - updated the logic
- `AdaptiveAvgPool2d` handles a single number `output_size` as well
- Added FLOPs for the `Identity` module
- Added support to specify an `activations` function to fetch activations from (similar to the `flops` function)
- Replaced the hacky list append logic with a class, `_ComplexityComputer`
- Implemented test cases which verify that the fixes work

Reviewed By: vreis

Differential Revision: D21009734

fbshipit-source-id: 926d93164c13c6c98eb88f9131d295b61d6acda7

v0.3.0

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Make bn weight decay configurable (#65)

Summary:
Pull Request resolved: fairinternal/ClassyVision#65

Make the bn weight decay configurable, for some datasets it might be desirable to turn it off.

Reviewed By: vreis

Differential Revision: D20140487

fbshipit-source-id: 77debf2c4600a080081668565d70b7a3ddc788f4

v0.2.0

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Small fixes in the tutorials (#350)

Summary:
As I was preparing the 0.2 release, found these small issues in the
tutorials. Fix them.
Pull Request resolved: #350

Reviewed By: mannatsingh

Differential Revision: D19517030

Pulled By: vreis

fbshipit-source-id: 83ce3d2f14068f5a3ef07170ae9f24bfe33d968e

0.1.0

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Initial commit

fbshipit-source-id: 5a7576eed3413a21a0ba0f620b59d45f695a253f