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I have been using the Conformer model for my research and I'm very impressed with its performance. However, I noticed that the current implementation does not include memory-efficient attention, which is crucial for handling long sequences and reducing memory usage during training and inference.
Best regards,
LianLin
The text was updated successfully, but these errors were encountered:
Hello Conformer developers and contributors,
I have been using the Conformer model for my research and I'm very impressed with its performance. However, I noticed that the current implementation does not include memory-efficient attention, which is crucial for handling long sequences and reducing memory usage during training and inference.
Best regards,
LianLin
The text was updated successfully, but these errors were encountered: