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.])
