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fx
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[quant][fx] Update name of packed weight attributes (#51259)
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2021-01-28 20:31:08 -08:00 |
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__init__.py
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[quant][fix] Fix quant type classification for float_qparam qconfig (#48069)
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2020-11-18 18:22:08 -08:00 |
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_correct_bias.py
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Remove py2 compatible future imports (#44735)
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2020-09-16 12:55:57 -07:00 |
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_equalize.py
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Fix type annotation errors in torch.functional (#43446)
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2020-08-26 08:27:59 -07:00 |
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_learnable_fake_quantize.py
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Remove py2 compatible future imports (#44735)
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2020-09-16 12:55:57 -07:00 |
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_numeric_suite_fx.py
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compare_model_stub_fx API implementation (#48951)
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2021-02-01 22:16:14 -08:00 |
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_numeric_suite.py
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numeric suite: add types to eager (#51168)
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2021-01-27 10:40:49 -08:00 |
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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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quantization: Linear + BatchNorm1d fusion (#50748)
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2021-01-20 12:59:02 -08:00 |
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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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update HistogramObserver to be scriptable (#51081)
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2021-01-27 07:27:03 -08:00 |
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qconfig.py
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quant: nice error message on convtranspose with per-channel weight (#49899)
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2021-01-05 09:38:57 -08:00 |
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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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[quant][bug] Fixing the mapping getter to return a copy (#50297)
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2021-01-12 15:19:39 -08:00 |
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quantize_fx.py
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[quant][fx] Scope support for call_function in QuantizationTracer (#51086)
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2021-01-28 08:32:24 -08:00 |
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quantize_jit.py
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[TorchScript] Support user defined classes as constants (#5062)
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2020-11-16 20:52:02 -08:00 |
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quantize.py
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eager quant: fix error with removing forward hooks (#49813)
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2021-01-05 11:00:20 -08:00 |
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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][refactor] Minor refactor of some typos (#50304)
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2021-01-12 15:23:13 -08:00 |