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fx
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[quant][graphmode][fx] Support preserving attributes in deepcopy of observed/quantized graphmodule (#56550)
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2021-04-22 15:02:44 -07:00 |
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ns
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ns for fx: add fp16 function shadowing (#57023)
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2021-04-27 16:28:54 -07:00 |
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__init__.py
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Un-ignore F403 in .flake8 (#55838)
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2021-04-13 09:24:07 -07:00 |
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_correct_bias.py
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_equalize.py
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_learnable_fake_quantize.py
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Add lint for unqualified type: ignore (#56290)
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2021-04-21 08:07:23 -07:00 |
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_numeric_suite_fx.py
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ns for fx: allow user functions in shadowing (#57022)
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2021-04-27 16:28:53 -07:00 |
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_numeric_suite.py
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Add lint for unqualified type: ignore (#56290)
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2021-04-21 08:07:23 -07:00 |
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fake_quantize.py
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memory efficient per-channel fq: use it everywhere, delete old version (#51265)
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2021-01-28 19:42:25 -08:00 |
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fuse_modules.py
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Add lint for unqualified noqa (#56272)
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2021-04-19 13:16:18 -07:00 |
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fuser_method_mappings.py
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quantization: Linear + BatchNorm1d fusion (#50748)
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2021-01-20 12:59:02 -08:00 |
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observer.py
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Support factory kwargs in torch.nn modules (#54508)
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2021-04-22 16:16:53 -07:00 |
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qconfig.py
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Un-ignore F403 in .flake8 (#55838)
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2021-04-13 09:24:07 -07:00 |
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quant_type.py
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[quant][graphmode][fx] custom_module support static/dynamic/weight_only quant (#46786)
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2020-10-27 21:41:33 -07:00 |
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quantization_mappings.py
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ns for fx: add test for op relationship coverage (#55837)
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2021-04-15 16:11:26 -07:00 |
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quantize_fx.py
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[quant][graphmode][fx] Support preserving attributes in deepcopy of observed/quantized graphmodule (#56550)
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2021-04-22 15:02:44 -07:00 |
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quantize_jit.py
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Enforce PEP263 for PyTorch python codebase (#55346)
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2021-04-06 18:31:38 -07:00 |
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quantize.py
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Back out "[quant][graphmode][fx] Separate handling Copy operator to a helper function" (#55388)
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2021-04-06 14:20:36 -07:00 |
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stubs.py
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type check for torch.quantization.stubs (#46475)
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2020-10-16 15:34:23 -07:00 |
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utils.py
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[quant][graphmode][fx] Fix a condition check for CopyNode (#53585)
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2021-03-11 09:32:20 -08:00 |