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Resolves a Runtime error occurring based on this:
Traceback (most recent call last):
File "main.py", line 149, in <module>
train_loss = train(Data, Data.train[0], Data.train[1], model, criterion, optim, args.batch_size)
File "main.py", line 55, in train
output = model(X);
File "D:\Anaconda2\envs\py3\lib\site-packages\torch\nn\modules\module.py", line 491, in __call__
result = self.forward(*input, **kwargs)
File "D:\Python\multivariate-time-series-data\models\LSTNet.py", line 53, in forward
s = s.view(batch_size, self.hidC, self.pt, self.skip);
RuntimeError: invalid argument 2: size '[128 x 100 x 6 x 24]' is invalid for input with 2073600 elements at ..\src\TH\THStorage.c:41
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i have the same question. How to solve this? |
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Resolves a Runtime error occurring based on this:
Traceback (most recent call last):
File "main.py", line 149, in
train_loss = train(Data, Data.train[0], Data.train[1], model, criterion, optim, args.batch_size)
File "main.py", line 55, in train
output = model(X);
File "D:\Anaconda2\envs\py3\lib\site-packages\torch\nn\modules\module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "D:\Python\multivariate-time-series-data\models\LSTNet.py", line 53, in forward
s = s.view(batch_size, self.hidC, self.pt, self.skip);
RuntimeError: invalid argument 2: size '[128 x 100 x 6 x 24]' is invalid for input with 2073600 elements at ..\src\TH\THStorage.c:41