Comments (1)
Thank you for asking! We follow the setup from the Pay Less Attention with Lightweight and Dynamic Convolutions.
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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
- about the global and local features in fig 3 HOT 3
- TransformerEncoderLayer HOT 5
- about dynamicconv_cuda HOT 1
- about padding!!! HOT 2
- About data ! HOT 1
- wmt16_en_de dataset link HOT 2
- model pruning HOT 1
- Can‘t find the cnn branch, HOT 1
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