[quant][graphmode][fx] Change standalone module api (#49719)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/49719
We find there are multiple use cases for standalone module, one use case requires standalone module
to produce a module that takes float Tensor as input and outputs a float Tensor, the other needs to
produce a modulee that takes quantized Tensor as input and outputs a quantized Tensor.
This is similar to `quantized_input_idxs` and `quantized_output_idxs` so we want to nest
prepare_custom_config_dict in the standalone module configuration, for maximum flxibility we also
include qconfig_dict for stand alone module as well in case user needs to have special qconfig_dict for
the standalone module in the future.
Changed from
```python
prepare_custom_config_dict =
{
"standalone_module_name": ["standalone_module"],
"standalone_module_class": [StandaloneModule]
}
```
to
```python
prepare_custom_config_dict =
{
"standalone_module_name": [("standalone_module", qconfig_dict1, prepare_custom_config_dict1)],
"standalone_module_class": [(StandaloneModule, qconfig_dict2, prepare_custom_config_dict2)]
}
```
The entries in the config are:
1. name/module_class
2. optional qconfig_dict, when it is None, we'll use {"": qconfig} where qconfig is the one from parent qconfig_dict
3. optional prepare_custom_config_dict, when it is None, we'll use default value of prepare_custom_config_dict for prepare API (None)
Test Plan:
python test/test_quantization.py TestQuantizeFx.test_standalone_module
Imported from OSS
Reviewed By: raghuramank100
Differential Revision: D25675704
fbshipit-source-id: 0889f519a3e55a7a677f0e2db4db9a18d87a93d4
