Jerry Zhang f2b851a9e5 Returning axis from calculate_qparams (#29494) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/29494 `calculate_qparams` of per channel quantization should return the axis, this PR added this and also added corresponding support in graph mode Test Plan: python test/test_jit.py Imported from OSS Differential Revision: D18580905 fbshipit-source-id: f9691c1f043f8bca39f81716a4d0b10f60a65396		2019-11-20 11:06:48 -08:00
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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	Convert conv_prepack to conv2d_prepack and conv_unpack to conv2d_unpack (#29529)	2019-11-11 21:54:10 -08:00
default_mappings.py	Add nn.quantized.Conv3d (#29813)	2019-11-15 04:33:40 -08:00
fake_quantize.py	Returning axis from calculate_qparams (#29494)	2019-11-20 11:06:48 -08:00
fuse_modules.py	Rename _intrinsic to intrinsic	2019-10-02 18:53:06 -07:00
observer.py	Returning axis from calculate_qparams (#29494)	2019-11-20 11:06:48 -08:00
qconfig.py	Refactoing names for consistency	2019-10-16 12:18:26 -07:00
quantize.py	Do not insert observers for empty sequential modules (#28384)	2019-10-21 20:32:13 -07:00
stubs.py	Factored out the default mappings	2019-10-03 11:52:21 -07:00