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License: MIT License
WIth Python 3.6 + Pytorch 1.3 + Cuda 10.1, reporting issue:
atmt\seq2seq\models\lstm.py, line 275, in forward,
RuntimeError: Expected object of device type cuda but got device type cpu for argument #1 "self" in call to th_mm`
The reason is some parameters in LSTMDecoder hasn't been moved to cuda.
To fix it:
After initializing tgt_hidden_states and tgt_cell_states inside forward function of LSTMDecoder, add
if self.layers[0].weight_ih.is_cuda:
tgt_hidden_states = utils.move_to_cuda(tgt_hidden_states)
tgt_cell_states = utils.move_to_cuda(tgt_cell_states)
I'm using python 3.6 + pytorch 1.3. And when I run the code with default parameters, it says:
TypeError: lstm() received an invalid combination of arguments
To fix it:
Inside lstm.py, line 57
When calling LSTMEncoder, add a type cast to bool
bidirectional=bool(args.encoder_bidirectional)
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