Comments (2)
You mean padding is not the same in encoder/decoder? That's because you have to avoid leakage of information from the future tokens in decoders. So by padding all empty tokens to the left, the conv op won't have access to the future tokens.
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Thanks for replying @Peter-1213. I will close this staled issue.
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Related Issues (20)
- Quantization HOT 1
- transfomer model with different paramters HOT 3
- Export model to ONNX HOT 1
- Error while evaluating model HOT 9
- Please share your quantization, quantization+pruning checkpoints HOT 2
- Missing Data Preparation section for the CNN / DailyMail dataset HOT 1
- Error while testing the model HOT 8
- Can not get the result as the paper if train the transformer from scratch. HOT 3
- How to measure the FLOPs/MACs? HOT 2
- in paragra 4 of HOT 1
- in the paragra 4 of paper HOT 1
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- TransformerEncoderLayer HOT 5
- about kernel size HOT 1
- about dynamicconv_cuda HOT 1
- About data ! HOT 1
- wmt16_en_de dataset link HOT 2
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