Rate this Page
★★★★★

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 betweenmin andmax. Ifmin andmax are both zero, the minimum andmaximum values of the data are used.

Elements lower than min and higher than max andNaN 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.])