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PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

License: MIT License

Python 100.00%
predictive-learning spatio-temporal lstm nlp deep-learning nips-2017

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pred-rnn's Issues

Missing parameters

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.

Value of MAX_LENGTH is not defined anywhere

The MAX_LENGTH parameter in train.py is not defined anywhere:

pred-rnn/train.py

Line 43 in 3251011

def train(input_variable, target_variable, encoder, decoder, encoder_optimizer, decoder_optimizer, criterion, max_length=MAX_LENGTH,teacher_forcing_ratio = 0.5):

What should be its default value?

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