4 Commits

Author	SHA1	Message	Date
Alban Desmaison	f7bae5b6b1	Revert D23385091: [quant][graphmode][fx] Add top level APIs ... Test Plan: revert-hammer Differential Revision: D23385091 (eb4199b0a7) Original commit changeset: b789e54e1a0f fbshipit-source-id: dc3dd9169d34beab92488d78d42d7e7d05e771d1	2020-08-31 12:18:29 -07:00
Jerry Zhang	eb4199b0a7	[quant][graphmode][fx] Add top level APIs (#43581) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/43581 Add similar APIs like eager and graph mode on torchscript - fuse_fx - quantize_fx (for both post training static and qat) - quantize_dynamic_fx (for post training dynamic) - prepare_fx (for both post training static and qat) - prepare_dynamic_fx (for post training dynamic) - convert_fx (for all modes) Test Plan: Imported from OSS Reviewed By: vkuzo Differential Revision: D23385091 fbshipit-source-id: b789e54e1a0f3af6b026fd568281984e253e0433	2020-08-31 10:12:55 -07:00
Jerry Zhang	b0ec336477	[quant][graphmode][fx][test] Add per op test for graph mode quant on fx (#43229) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/43229 Test Plan: Imported from OSS Reviewed By: supriyar Differential Revision: D23201692 fbshipit-source-id: 37fa54dcf0a9d5029f1101e11bfd4ca45b422641	2020-08-20 17:32:02 -07:00
Jerry Zhang	dae2973fae	[quant][graphmode][fx] Add graph mode quantization on fx (#43175) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/43175 This PR added graph mode quantization on fx: https://github.com/pytorch/pytorch/pull/42741 Currently it matches eager mode quantization for torchvision with static/dynamic/qat ddp/synbn test is still wip Test Plan: python test/test_quantization.py TestQuantizeFx Imported from OSS Reviewed By: vkuzo Differential Revision: D23178602 fbshipit-source-id: 8e7e0322846fbda2cfa79ad188abd7235326f879	2020-08-20 14:50:09 -07:00