Jerry Zhang 8f88f797db [quant][graphmode][fx] Add reference quantized conv module (#63828) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/63828 Added reference quantized conv module for the custom backend flow, the reference quantized module will have the following code: ``` w(float) -- quant - dequant \ x(float) ------------- F.conv2d --- ``` In the full model, we will see ``` w(float) -- quant - *dequant \ x -- quant --- *dequant -- *F.conv2d --- *quant - dequant ``` and the backend should be able to fuse the ops with `*` into a quantized linear Test Plan: python test/test_quantization.py TestQuantizeFx.test_conv_linear_reference Imported from OSS Reviewed By: vkuzo Differential Revision: D30504749 fbshipit-source-id: e1d8c43a0e0d6d9ea2375b8ca59a9c0f455514fb		2021-08-30 14:23:17 -07:00
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ao_migration	[quant] AO migration of the quantize.py (#64086)	2021-08-29 20:30:01 -07:00
bc	[quant] Make version 1 the default for get_default_qat_qconfig (#63043)	2021-08-11 22:06:44 -07:00
core	[quant][graphmode][fx] Add reference quantized conv module (#63828)	2021-08-30 14:23:17 -07:00
eager	[quant][fx] Add support for dynamic linear + relu fusion (INT8) (#63799)	2021-08-26 21:10:46 -07:00
fx	[quant][graphmode][fx] Add reference quantized conv module (#63828)	2021-08-30 14:23:17 -07:00
jit	Updates internal assert_allclose callsites in favor of assert_close (#61841)	2021-08-19 12:50:41 -07:00
serialized	[quant] Make version 1 the default for get_default_qat_qconfig (#63043)	2021-08-11 22:06:44 -07:00
__init__.py