Supriya Rao 0429d2c9b8 [quant][graphmode] Add new tensorlist observer for LSTM (#35893) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/35893 LSTM operator inputs have tensor list for activations and weights. In graph mode we need a new observer to work with tensor list Test Plan: python test/quantization/test_quantization.py ObserverTest Imported from OSS Differential Revision: D20830389 fbshipit-source-id: 4790f8932ae3d38446c1d942a2b3780aa91e3022		2020-04-03 10:41:28 -07:00
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__init__.py	Ignore F401 in all __init__.py without putting noqa (#25823)	2019-10-23 15:28:13 -07:00
_quantize_script.py	[quant][graph] Add quant fusion for dynamic quantization (#35586)	2020-03-30 23:34:56 -07:00
default_mappings.py	Add the more fusion (conv3d and batchnorm)support in pytorch quantization flow (#33540)	2020-03-23 20:36:03 -07:00
fake_quantize.py	Per channel quantization performance improvement (#33772)	2020-02-26 10:19:25 -08:00
fuse_modules.py	Add the more fusion (conv3d and batchnorm)support in pytorch quantization flow (#33540)	2020-03-23 20:36:03 -07:00
observer.py	[quant][graphmode] Add new tensorlist observer for LSTM (#35893)	2020-04-03 10:41:28 -07:00
qconfig.py	[quant][graph] Add a new observer type for dynamic quantization (#35455)	2020-03-26 17:38:21 -07:00
quantize.py	Add the more fusion (conv3d and batchnorm)support in pytorch quantization flow (#33540)	2020-03-23 20:36:03 -07:00
stubs.py	Factored out the default mappings	2019-10-03 11:52:21 -07:00