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# torch.argmax

torch.argmax(input) → LongTensor

  Returns the indices of the maximum value of all elements in the `input` tensor.

  This is the second value returned by `torch.max()`. See its documentation for the exact semantics of this method.

  Note

  If there are multiple maximal values then the indices of the first maximal value are returned.

  Parameters:

    input (Tensor) – the input tensor.

  Example:

      >>> a = torch.randn(4, 4)
      >>> a
      tensor([[ 1.3398,  0.2663, -0.2686,  0.2450],
              [-0.7401, -0.8805, -0.3402, -1.1936],
              [ 0.4907, -1.3948, -1.0691, -0.3132],
              [-1.6092,  0.5419, -0.2993,  0.3195]])
      >>> torch.argmax(a)
      tensor(0)

  torch.argmax(input, dim, keepdim=False) → LongTensor

  Returns the indices of the maximum values of a tensor across a dimension.

  This is the second value returned by `torch.max()`. See its documentation for the exact semantics of this method.

  Parameters:

    - input (Tensor) – the input tensor.

    - dim (int) – the dimension to reduce. If `None`, the argmax of the flattened input is returned.

    - keepdim (bool) – whether the output tensor has `dim` retained or not. Ignored if `dim=None`.

  Example:

      >>> a = torch.randn(4, 4)
      >>> a
      tensor([[ 1.3398,  0.2663, -0.2686,  0.2450],
              [-0.7401, -0.8805, -0.3402, -1.1936],
              [ 0.4907, -1.3948, -1.0691, -0.3132],
              [-1.6092,  0.5419, -0.2993,  0.3195]])
      >>> torch.argmax(a, dim=1)
      tensor([ 0,  2,  0,  1])

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