[PyPer][quant] Add quantized embedding operators to OSS. (#40076)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/40076
Pull Request resolved: https://github.com/pytorch/glow/pull/4606
[PyPer][quant] Add quantized embedding operators to OSS.
This is the first step in supporting Graph Mode Quantization for EmbeddingBag.
At a high level, the next steps would be
a) Implementation of Embedding prepack/unpack operators,
b) Implementation of torch.nn.quantized.dynamic.EmbeddingBag Module,
c) Implementation of torch.nn.quantized.EmbeddingBag Module,
d) Implementation (modification) of IR passes to support graph quantization of EmbeddingBag module.
More in-depth details regarding each step will be in the follow up diffs. Consider this as an initial diff that moves operators to respective places that's required for us to proceed.
Test Plan: ```buck test mode/no-gpu caffe2/test:quantization -- --stress-runs 100 test_embedding_bag```
Reviewed By: supriyar
Differential Revision: D21949828
fbshipit-source-id: cad5ed0a855db7583bddb1d93e2da398c128024a
Author
Radhakrishnan Venkataramani
