You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
C:\ProgramData\Anaconda3\envs\torch\python.exe E:/hyx/seq2seq-master/seq2seq.py train
C:\ProgramData\Anaconda3\envs\torch\lib\site-packages\torch\nn\modules\rnn.py:54: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.05 and num_layers=1
"num_layers={}".format(dropout, num_layers))
Error(s) in loading state_dict for seq2seq:
size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([600, 100]) from checkpoint, the shape in current model is torch.Size([14, 100]).
size mismatch for decoder.embedding.weight: copying a param with shape torch.Size([1600, 100]) from checkpoint, the shape in current model is torch.Size([15, 100]).
size mismatch for decoder.out.weight: copying a param with shape torch.Size([1600, 200]) from checkpoint, the shape in current model is torch.Size([15, 200]).
size mismatch for decoder.out.bias: copying a param with shape torch.Size([1600]) from checkpoint, the shape in current model is torch.Size([15]).
No model!
还有下面的报错
Traceback (most recent call last):
File "E:/hyx/seq2seq-master/seq2seq.py", line 436, in
seq.train()
File "E:/hyx/seq2seq-master/seq2seq.py", line 210, in train
loss, logits = self.step(inputs, targets, self.max_length)
File "E:/hyx/seq2seq-master/seq2seq.py", line 271, in step
return loss.data[0] / target_length, decoder_outputs
IndexError: invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number
怎么调都不对,求指点~~
The text was updated successfully, but these errors were encountered:
C:\ProgramData\Anaconda3\envs\torch\python.exe E:/hyx/seq2seq-master/seq2seq.py train
C:\ProgramData\Anaconda3\envs\torch\lib\site-packages\torch\nn\modules\rnn.py:54: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.05 and num_layers=1
"num_layers={}".format(dropout, num_layers))
Error(s) in loading state_dict for seq2seq:
size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([600, 100]) from checkpoint, the shape in current model is torch.Size([14, 100]).
size mismatch for decoder.embedding.weight: copying a param with shape torch.Size([1600, 100]) from checkpoint, the shape in current model is torch.Size([15, 100]).
size mismatch for decoder.out.weight: copying a param with shape torch.Size([1600, 200]) from checkpoint, the shape in current model is torch.Size([15, 200]).
size mismatch for decoder.out.bias: copying a param with shape torch.Size([1600]) from checkpoint, the shape in current model is torch.Size([15]).
No model!
还有下面的报错
Traceback (most recent call last):
File "E:/hyx/seq2seq-master/seq2seq.py", line 436, in
seq.train()
File "E:/hyx/seq2seq-master/seq2seq.py", line 210, in train
loss, logits = self.step(inputs, targets, self.max_length)
File "E:/hyx/seq2seq-master/seq2seq.py", line 271, in step
return loss.data[0] / target_length, decoder_outputs
IndexError: invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number
怎么调都不对,求指点~~
The text was updated successfully, but these errors were encountered: