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X entropy loss input dimensions #123
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outputgives
tensor([[-1.5800e-01, ... 1.1632e-01]], grad_fn=<AddmmBackward>)targetgives
tensor([10, 29, 14, 73, 96, 55, ..., 94])target[c]gives
tensor(10)So
criterion(output, target[c])givesRuntimeError: dimension specified as 0 but tensor has no dimensions. See PyTorch doc's about CrossEntropyLoss, it expects inputs of shape: "Input: (N,C) where C = number of classes" and "Target: (N)".target[c].view([1])gives
tensor([10]), which fixes the error.return loss.data[0] / args.chunk_lengivesIndexError: invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number.