Contains PyTorch implementation of paper-
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs link
The Moving MNIST dataset can be downloaded here
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
License: MIT License
I'm doing some research and need to do some comparison based on your network. Would you please share the data /home/ujjax/Downloads/mnist.h5? Thank you!
There are missing parameters in the given code I suppose,
1- class Encoder() , has missing arguments in init()
2- h = o * torch.tanh(F.conv2d(torch.cat((c,M), dim= ),self.weight_1x1)), dim is missing in ST-LSTM cell definition.
The MAX_LENGTH
parameter in train.py
is not defined anywhere:
Line 43 in 3251011
What should be its default value?
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