39 lines
9.9 KiB
Text
Executable file
39 lines
9.9 KiB
Text
Executable file
running on cpu
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Loading file...
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986410
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Generating testset...
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Epoch: 0
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[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]],
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[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]]],
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grad_fn=<LogSoftmaxBackward>)
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tensor([9, 8, 4])
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[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]],
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[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]]],
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grad_fn=<LogSoftmaxBackward>)
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tensor([[[9, 9, 9, 9, 9, 9, 9, 9, 9, 9]],
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[[2, 2, 2, 2, 2, 2, 2, 2, 2, 2]],
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[[9, 9, 9, 9, 9, 9, 9, 9, 9, 9]]])
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Traceback (most recent call last):
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File "pytorch_ai.py", line 147, in <module>
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loss = loss_function(output.view(-1, 10), label)
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File "/home/clemens/.local/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__
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result = self.forward(*input, **kwargs)
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File "/home/clemens/.local/lib/python3.7/site-packages/torch/nn/modules/loss.py", line 916, in forward
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ignore_index=self.ignore_index, reduction=self.reduction)
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File "/home/clemens/.local/lib/python3.7/site-packages/torch/nn/functional.py", line 2009, in cross_entropy
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return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction)
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File "/home/clemens/.local/lib/python3.7/site-packages/torch/nn/functional.py", line 1838, in nll_loss
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ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
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RuntimeError: multi-target not supported at /pytorch/aten/src/THNN/generic/ClassNLLCriterion.c:22
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