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Showing content from https://docs.pytorch.org/docs/main/generated/torch.count_nonzero.html below:

torch.count_nonzero — PyTorch main documentation

Counts the number of non-zero values in the tensor input along the given dim. If no dim is specified then all non-zeros in the tensor are counted.

>>> x = torch.zeros(3,3)
>>> x[torch.randn(3,3) > 0.5] = 1
>>> x
tensor([[0., 1., 1.],
        [0., 0., 0.],
        [0., 0., 1.]])
>>> torch.count_nonzero(x)
tensor(3)
>>> torch.count_nonzero(x, dim=0)
tensor([0, 1, 2])

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