Thanks a lot Pascal, I have solved the problem now, the issue was that
self.truncate_gradient was a float instead of being an int.
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The dtype of grad_steps and s_ is float64 while self.truncate_gradient is
a python float.
Sorry I didn't answer it properly previously.
Thanks
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grad_steps itself is of with
value "Elemwise{minimum,no_inplace}.0". So here a tensor that is s_ ( of
type Subtensor{::int64}.0}) is being sliced by a variable. Again how it is
reaching there is what i am unable to understand.
Thanks
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Hi
I am training a custom LSTM model on theano with LSTM layers as in
(https://github.com/asheshjain399/NeuralModels/tree/master/neuralmodels/layers/LSTM.py)
and
(https://github.com/asheshjain399/NeuralModels/blob/master/neuralmodels/layers/multilayerLSTM.py).
Now the model that I have