Terry Chen f67cf03526 [Quant] Add qint32 quantization support (#72472) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/72472 Add dtype=int32 support for observer Test Plan: python3 test/test_quantization.py TestObserver.test_per_tensor_observers Imported from OSS Reviewed By: jerryzh168 Differential Revision: D34056640 fbshipit-source-id: 4fa15a7274cfbb6a7dd4e698e3989cc0c0626e7b (cherry picked from commit bf4351de45812a9143b179b7049cc1e93611daf6)		2022-02-16 03:45:15 +00:00
..
__init__.py
test_quantized_functional.py	[quantized] Add bilinear quantized grid_sample (#66879)	2021-11-01 14:44:26 -07:00
test_quantized_module.py	Make LinearPackedParams works with both torchscript and torch.package (#71656)	2022-02-07 18:39:28 +00:00
test_quantized_op.py	Implement Tanh Gelu Approximation (#61439)	2022-02-14 03:40:32 +00:00
test_quantized_tensor.py	[Quant][core][improvement] Enabled slicing on per-channel quantized tensors (support is limited to the a contiguous sliced tensor); added correpsonding test case (#71269)	2022-02-04 20:12:15 +00:00
test_workflow_module.py	[Quant] Add qint32 quantization support (#72472)	2022-02-16 03:45:15 +00:00
test_workflow_ops.py	Deprecates _aminmax (#71576)	2022-01-21 09:23:29 +00:00