在MultiheadAttention机制中同时使用src_mask和src_key_padding_mask。根据MultiheadAttention的文档
src_key_padding_mask should be folded into a Nested Tensor in TransformerEncoder, so that downstream layers can execute with variable length inputs . This is happening here in transformer.py => https://github.com/pytorch/pytorch/blob/main/torch/nn/modules/transformer.py#L315 Why are you ...
param error use imitate_episodes.py to train model. TypeError: forward() got an unexpected keyword argument 'src_key_padding_mask' TypeError: forward() got an unexpected keyword argument 'pos' at detr_vae.py line 116: encoder_output = se...
而1.2版中一个重要的更新就是把加入了NLP领域中炙手可热的Transformer模型，这里记录一下PyTorch中Trans...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Passing `src_key_padding_mask` as `bool` vs `float` causes different outputs from `nn.TransformerEncoderLayer` · pytorch/pytorch@4ab967c
问src_mask与src_key_padding_mask的区别ENsrc_mask[Tx, Tx] = [S, S]-源序列的附加掩码(可选)...
但我可以阐明您所指的两个掩码参数。在MultiheadAttention机制中同时使用src_mask和src_key_padding_mask...