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
..
__init__.py
test_quantized_functional.py
test_quantized_module.py	[quant][graphmode][fx] Add reference quantized conv module (#63828)	2021-08-30 14:23:17 -07:00
test_quantized_op.py	[quant] Add op support for linear_relu_dynamic_fp16 (#63824)	2021-08-26 21:12:04 -07:00
test_quantized_tensor.py	BFP16 quantization/dequantization (#62974)	2021-08-09 15:47:07 -07:00
test_workflow_module.py	replace self.assertTrue(torch.allclose(..)) with self.assertEqual(…) (#63637)	2021-08-25 16:47:40 -07:00
test_workflow_ops.py	replace self.assertTrue(torch.allclose(..)) with self.assertEqual(…) (#63637)	2021-08-25 16:47:40 -07:00