pytorch

446afb5f - [On Device Quantization][pytorch]Make insert_quant_dequant support ondevice ptq (#83570)

[On Device Quantization][pytorch]Make insert_quant_dequant support ondevice ptq (#83570) Summary: This diff adds a way to: - clone previously observed method - Add calls to observer's calculate_qparams methods - Extract the scale and zero point - Use them to insert quant dequant nodes Now for forward method we have - observe_forward - quantize_forward observe_forward is used post training to observer statistics. In the case of dynamic PTQ this requires just running that method once to update weight observer statistics. quantize_forward method will be used to use the observer statistics to calculate quantization parameters and apply that to quant dequant op. Subsequent diffs will replace dequant + op with their quantized op counter parts and replace quantize ops with relevant packed params class where possible Test Plan: To be written Reviewers: Subscribers: Tasks: Tags: Differential Revision: [D38771419](https://our.internmc.facebook.com/intern/diff/D38771419) Pull Request resolved: https://github.com/pytorch/pytorch/pull/83570 Approved by: https://github.com/jerryzh168