pytorch

b81e10a2 - fx quant: fix bug with fusion patterns and disabling quantization (#54654)

fx quant: fix bug with fusion patterns and disabling quantization (#54654) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/54654 Fixes a bug where disabling quantizaton on potential fusion patterns would lead to errors in the `convert` function. For example: 1. have a model with add-relu 2. disable quantization for the part of the model containing add-relu 3. run prepare and convert, the convert step would fail because intermediate nodes were missing from `env`. The fix is to add handling for this edge case. If quantization is disabled, we manually copy the nodes for multi-node fusion patterns. Test Plan: ``` python test/test_quantization.py TestQuantizeFx.test_fusion_pattern_unquantized ``` Imported from OSS Reviewed By: jerryzh168 Differential Revision: D27318454 fbshipit-source-id: 27c1fd1cb7c9711a8e8d338200971c428dae8f98