..
fx
[quant][fx][graphmode] Run symbolic_trace in quantization ( #45919 )
2020-10-08 17:26:03 -07:00
__init__.py
[quant][eagermode] Custom module support ( #44835 )
2020-09-23 15:39:40 -07:00
_correct_bias.py
Remove py2 compatible future imports ( #44735 )
2020-09-16 12:55:57 -07:00
_equalize.py
Fix type annotation errors in torch.functional ( #43446 )
2020-08-26 08:27:59 -07:00
_learnable_fake_quantize.py
Remove py2 compatible future imports ( #44735 )
2020-09-16 12:55:57 -07:00
_numeric_suite.py
Remove py2 compatible future imports ( #44735 )
2020-09-16 12:55:57 -07:00
custom_module_class_mappings.py
[quant][graphmode][fx] Custom module support ( #44766 )
2020-09-22 17:11:46 -07:00
default_mappings.py
[quant] ConvTranspose1d / ConvTranspose2d ( #40371 )
2020-09-14 14:25:06 -07:00
fake_quantize.py
Enable type check for torch.quantization.fake_quantize ( #45701 )
2020-10-02 09:27:34 -07:00
fuse_modules.py
Remove py2 compatible future imports ( #44735 )
2020-09-16 12:55:57 -07:00
fuser_method_mappings.py
[quant][eagermode][refactor] Add set/get method for quantization and fusion mappings ( #43990 )
2020-09-10 21:29:39 -07:00
observer.py
[quant] Support 4-bit embedding_bag operators using the dtype quint4x2 ( #45752 )
2020-10-06 21:11:49 -07:00
qconfig.py
Remove py2 compatible future imports ( #44735 )
2020-09-16 12:55:57 -07:00
quant_type.py
Remove py2 compatible future imports ( #44735 )
2020-09-16 12:55:57 -07:00
quantization_mappings.py
[quant][graphmode][fx][eagermode] Add leaky relu support in quantization workflows ( #45712 )
2020-10-06 12:16:04 -07:00
quantize_fx.py
[quant][fx][graphmode][api] Change API for custom module ( #45920 )
2020-10-12 23:42:27 -07:00
quantize_jit.py
quantizaton: add API usage logging ( #46095 )
2020-10-09 16:51:27 -07:00
quantize.py
quantizaton: add API usage logging ( #46095 )
2020-10-09 16:51:27 -07:00
stubs.py
Factored out the default mappings
2019-10-03 11:52:21 -07:00