Trained
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wandb/run-20200127_141329-lscctqxi/output.log
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runnning on cuda:0
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0%| | 0/4000 [00:00<?, ?it/s]
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Traceback (most recent call last):
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File "mnist_classifier.py", line 59, in <module>
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output = net(X.view(-1, 784)) # pass in the reshaped batch (recall they are 28x28 atm)
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File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 532, in __call__
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result = self.forward(*input, **kwargs)
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File "mnist_classifier.py", line 34, in forward
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x = F.relu(self.fc1(x))
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File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 532, in __call__
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result = self.forward(*input, **kwargs)
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File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/linear.py", line 87, in forward
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return F.linear(input, self.weight, self.bias)
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File "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py", line 1370, in linear
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ret = torch.addmm(bias, input, weight.t())
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RuntimeError: Expected object of device type cuda but got device type cpu for argument #2 'mat1' in call to _th_addmm
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