Summary:
- [x] Fix the Pyre type checking errors in `torch/quantization/fx/utils.py`
```
torch/quantization/fx/utils.py:490:4 Incompatible variable type [9]: target_module_type is declared to have type `Type[nn.modules.module.Module]` but is used as type `None`.
```
Fixes the issue: [MLH-Fellowship/pyre-check/issues/75](https://github.com/MLH-Fellowship/pyre-check/issues/75)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/66311
Reviewed By: pradeep90
Differential Revision: D31506399
Pulled By: 0xedward
fbshipit-source-id: 3d866fba6005452378d4a2613b8689fa2d7a8b67
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/61647
`prepare_fx` currently assumes that bias is always a positional argument to
convolutions, and only a keyword argument to other functions. This happens to work
today due to a quirk in how `__torch_function__` is handled for python
functions but shouldn't be considered stable.
Instead, we should support `bias` for both positional and keyword forms.
cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo
Test Plan: Imported from OSS
Reviewed By: ngimel
Differential Revision: D31401360
Pulled By: albanD
fbshipit-source-id: 1e2f53d80e2176b870f326dc498e251e2386136e
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/65033
1. Move the file:
```
hg mv caffe2/torch/quantization/fx caffe2/torch/ao/quantization/fx
hg mv caffe2/torch/quantization/quantize_fx.py caffe2/torch/ao/quantization/quantize_fx.py
```
2. Create new files
```
touch caffe2/torch/quantization/quantize_fx.py
touch caffe2/torch/quantization/fx/__init__.py
```
3. import things in the new files
4. add tests to test/quantization/ao_migration/test_quantization_fx.py
this is because we have some fx import in quantize_fx and fx/*.py
Test Plan: buck test mode/dev //caffe2/test:quantization
Reviewed By: vkuzo, z-a-f
Differential Revision: D30949749
fbshipit-source-id: 9e5d4d039c8a0a0820bc9040e224f0d2c26886d3
