Fix gradient shape error for DPMultiheadAttention (issue 650) #651
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…h#651) Summary: When batch_first = True, the activation and partial gradient for each linear layer in DPMultiheadAttention still has batch_size in the second dimension, thus causing wrong gradient shape in optimizer.step(). Details in: pytorch#650 Differential Revision: D57446245
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…h#651) Summary: When batch_first = True, the activation and partial gradient for each linear layer in DPMultiheadAttention still has batch_size in the second dimension, thus causing wrong gradient shape in optimizer.step(). Details in: pytorch#650 Differential Revision: D57446245
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…h#651) Summary: When batch_first = True, the activation and partial gradient for each linear layer in DPMultiheadAttention still has batch_size in the second dimension, thus causing wrong gradient shape in optimizer.step(). Details in: pytorch#650 Reviewed By: EnayatUllah Differential Revision: D57446245
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Summary:
When batch_first = True, the activation and partial gradient for each linear layer in DPMultiheadAttention still has batch_size in the second dimension, thus causing wrong gradient shape in optimizer.step().
Details in: #650
Differential Revision: D57446245