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This PR removes the AdamW optimizer from fairseq2. The main reason of having our own
AdamW
optimizer in fairseq2 (which was essentially using the sameadamw
functional API as the PyTorch version) was to parity check fairseq's memory efficient fp16 optimizer. Since nowadays AMP and FSDP mixed precision training have become ubiquitous with almost always better model accuracy and minimal impact on memory, there is no need to maintain our own version. (Beyond fp16 becoming more and more obsolete compared to bf16 and lower-precision data types)