Summary:
Since the tensor iterator supports the broadcast, we will just remove the assertion on input shapes.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30442
Differential Revision: D19976562
Pulled By: lly-zero-one
fbshipit-source-id: 91b27fc8b2570f29d110c6df26eacdd16f587b9f
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/27782
Warnings show up when running `make html` to build documentation. All of
the warnings are very reasonable and point to bugs in our docs. This PR
attempts to fix most of those warnings.
In the future we will add something to the CI that asserts that there
are no warnings in our docs.
Test Plan: - build and view changes locally
Differential Revision: D17887067
Pulled By: zou3519
fbshipit-source-id: 6bf4d08764759133b20983d6cd7f5d27e5ee3166
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26612
Add support for add relu functional module, this allows for fusion of add and relu quantized operations
ghstack-source-id: 91055976
Test Plan: buck test caffe2/test:quantization -- 'test_functional_module \(test_quantization\.FunctionalModuleTest\)' --print-passing-details
Differential Revision: D17518268
fbshipit-source-id: e1e8b4655d6b32405863ab9d1c7da111fb4343cc
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26574
Since we also have `quantized::linear`, `quantize_linear` sounds
confusing, so we plan to rename it before the branch cut
Test Plan:
ci
Imported from OSS
Differential Revision: D17514876
fbshipit-source-id: 01d9005e6ec8cb9950b9d8bba122109c389641d3
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/23635
It appears it is the same complexity to add new modules using a base class and using a generation script.
Test Plan: Imported from OSS
Differential Revision: D16593364
Pulled By: zafartahirov
fbshipit-source-id: 852dcf41f3dfa2a89152042b8e61d0b6defa8feb
