Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/39677
Test Plan:
Moved a test class suite between files, wanted to have same functionality (simple code refactor) so tested to make sure the test output was the same before/after the refactor.
Image below shows the output of TestGraphModePostTrainingStatic before refactor
{F239676498}
This image shows the output of TestQuantizeScript (renamed version that is in test_quantize_script.py instead of test_quantize.py)
{F239676509}
Differential Revision: D21940638
Pulled By: edmundw314
fbshipit-source-id: 54160a5151aadf3a34bdac2bcaeb52904e6653ed
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/39041
reduce_range option restricts the activation tensor to 7 bits instead of 8.
This is necessary to enable per channel quant for RNNs and LSTMs
Test Plan:
python test/test_quantization.py TestDynamicQuantizedLinear
Imported from OSS
Reviewed By: akinh
Differential Revision: D21769691
fbshipit-source-id: ef0e9873367f3c1b34091b0b3af788233ef60c6c
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32479
Run dynamic quantization on mobile (similar to FBGEMM). Currently only implemented on linear operator
Test Plan:
python test/test_quantized.py TestDynamicQuantizedLinear.test_qlinear
Imported from OSS
Differential Revision: D19542980
fbshipit-source-id: c9f6e5e8ded4d62ae0f2ed99e478c8307dde22ed
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30445
Create distributed and rpc directories under caffe/test for better management
of unit tests.
Differential Revision: D18702786
fbshipit-source-id: e9daeed0cfb846ef68806f6decfcb57c0e0e3606
