Handle DeQuantStub() for QAT (#26518)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26518
Skip Dequantize() modules for QAT alone. For fake quant insertion, DeQuantize() is a no-op and we should not be inserting fake-quant.
ghstack-source-id: 90704220
Test Plan:
buck test caffe2/test:quantization -- --print-passing-details
Tests in test_quantization pass with changes:
Finished test run: https://our.intern.facebook.com/intern/testinfra/testrun/281475121296989
Summary (total time 73.03s):
PASS: 28
FAIL: 0
SKIP: 0
FATAL: 0
TIMEOUT: 0
OMIT: 0
Differential Revision: D17439333
fbshipit-source-id: f716c23500324ae08c8d104ee2c9587fa6926571
