Work around for bias quantization for conv and linear operators (#25212)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/25212
In eager mode, all modules need to work with input tensors that can change qparams dynamically. This issue https://github.com/pytorch/pytorch/issues/23874 will address this via FBGEMM modifications. This is a work around before that.
ghstack-source-id: 89118038
Test Plan:
buck test caffe2/test:quantized -- 'test_conv_api \(test_quantized_nn_mods\.ModuleAPITest\)' --print-passing-details
Summary (total time 65.86s):
PASS: 1
FAIL: 0
SKIP: 0
FATAL: 0
TIMEOUT: 0
OMIT: 0
Differential Revision: D17064471
fbshipit-source-id: 3c192442b19bf2d9d88d4e52de6c24dc134a846f
