Comments (2)
Thank you for using my modules and reporting issue, but I'm not sure your case.
The behaviour of batch_first
is very simple and I think there are no bugs.
pytorch_convolutional_rnn/convolutional_rnn/functional.py
Lines 307 to 314 in 094b3bd
If you are using PackedSequence
, this option should be ignored.
from pytorch_convolutional_rnn.
Thank you for using my modules and reporting issue, but I'm not sure your case.
The behaviour ofbatch_first
is very simple and I think there are no bugs.pytorch_convolutional_rnn/convolutional_rnn/functional.py
Lines 307 to 314 in 094b3bd
def forward(input, weight, hidden, batch_sizes):
if batch_first and batch_sizes is None:
input = input.transpose(0, 1)nexth, output = func(input, hidden, weight, batch_sizes) if batch_first and batch_sizes is None: output = output.transpose(0, 1)
If you are using
PackedSequence
, this option should be ignored.
Thanks a lot again. I will take a further look.
BTW, I have motivated by your RNN cell functions before and they help my project. And I plan to learn all your functions about RNN. Thanks for sharing.
from pytorch_convolutional_rnn.
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from pytorch_convolutional_rnn.