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# torch.histc

torch.histc(input, bins=100, min=0, max=0, *, out=None) → Tensor

  Computes the histogram of a tensor.

  The elements are sorted into equal width bins between `min` and `max`. If `min` and `max` are both zero, the minimum and maximum values of the data are used.

  Elements lower than min and higher than max and `NaN` elements are ignored.

  Parameters:

    - input (Tensor) – the input tensor.

    - bins (int) – number of histogram bins

    - min (Scalar) – lower end of the range (inclusive)

    - max (Scalar) – upper end of the range (inclusive)

  Keyword Arguments:

    out (Tensor, optional) – the output tensor.

  Returns:

    Histogram represented as a tensor

  Return type:

    Tensor

  Example:

      >>> torch.histc(torch.tensor([1., 2, 1]), bins=4, min=0, max=3)
      tensor([ 0.,  2.,  1.,  0.])

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