[quant][graphmode][fx] Add support for ObservationType.OUTPUT_SHARE_OBSERVE_WITH_INPUT in backend_config_dict (#67210)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/67210
`OUTPUT_SHARE_OBSERVE_WITH_INPUT` is an observation type for operators that would have the same observer/fake_quant instance
as output, when quantized, these ops can take quantized Tensor as input and output a quantized Tensor with the same quantization parameters (scale/zero_point etc.) as input
Using cat as an example in this PR. Other ops can be added later gradually (together with tests).
Test Plan:
python test/fx2trt/test_quantize_fx.py TestQuantizeFxTRTOps.test_cat
Imported from OSS
Reviewed By: vkuzo
Differential Revision: D31907243
fbshipit-source-id: 2c7af4a456deb5e6597b0b9cd4e32c5fcdec580b
