Comments (1)
I think this problem is caused by the incompatilbe types of 'input' and 'h'. They should both be Variable rather than FloatTensor. Please refer to the document of 'torch.cat' for more details.
from convolutional_lstm_pytorch.
Related Issues (20)
- Is there any experiments results provided?
- Found the code is much slower than Keras counterpart (takes 2-3 times longer time). Do you know why?
- What's the shape of input? HOT 1
- I think forward code is wrong
- Input shape issue and lack of bias. HOT 9
- The shape of the output
- Why Wci, Wcf, Wco are Variables rather than nn.Parameters HOT 3
- Where is the squence length HOT 1
- why hidden_channels % 2 == 0 ?
- Error in backward HOT 1
- Peephole connections (Wci, Wcf, Wco) gradient update HOT 1
- Why self.num_features=4 in line 15?
- How can I use this module for predicting the moving mnist like the paper? HOT 1
- about concat HOT 5
- about forward HOT 1
- RuntimeError: Jacobian mismatch for output 0 with respect to input 0 HOT 3
- 关于input 和 step 的问题 HOT 2
- How to do the entire sequence all at once?
- Why Wci,Wcf,Wco should be initialized at the beginning of each batch? HOT 6
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from convolutional_lstm_pytorch.