Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/23858
Pull Request resolved: https://github.com/pytorch/pytorch/pull/23718
Changes:
- Enable tests for quantization test files in `run_tests.py`
- Remove `__future__` imports from `torch/nn/qat/modules/__init__.py`, since `unicode_literals` messes up imports on python2 because the elements in `__all__` will be Unicode and not string
- Skip PostTrainingQuantTests if the build doesn't have FBGEMM (only a small subset of targets in tests) or if testing under UBSAN (the suppression file doesn't seem to work)
Test Plan: Imported from OSS
Reviewed By: ZolotukhinM
Differential Revision: D16639467
Pulled By: jamesr66a
fbshipit-source-id: 532766797c216976dd7e07d751f768ff8e0fc207
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/23837
This is a temporary workaround to an issue in MKL-DNN's Convolution backwards implementation: https://github.com/pytorch/pytorch/issues/23825
It is only used to enable testing quantization
Test Plan: Imported from OSS
Differential Revision: D16659081
Pulled By: jamesr66a
fbshipit-source-id: de18ebe98dec2a042f28b23373e20da2b44a42a2
