xiajili

when I run "train_mosi.py", there is the below results with "UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.3 and num_layers=1 "num_layers={}".format(dropout, num_layers))"

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Epoch 0 complete! Average Training loss: nan Training got into NaN values... Model initialized Epoch 0 complete! Average Training loss: nan Training got into NaN values... Model initialized Epoch 0...

sims数据集报错：AssertionError: embed_dim must be divisible by num_heads

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作者您好，请问一下，在运行sims数据集时，总是报错：AssertionError: embed_dim must be divisible by num_heads，发现是在multihead_attention中，由于self.head_dim * num_heads == self.embed_dim不符合所致，在mosi数据集中，sequence_length为（50，50，50），而sims数据集的sequence_length为 (39, 400, 55)，50可以被25整除，39不能被25整除，想请问一下sims数据集（unaligned_39.pkl）还需要进行进一步处理吗？还是代码中的问题？ 期待您的答疑！