The function `torch.nn.functional.binary_cross_entropy_with_logits`

actually returns a call to the function `torch.binary_cross_entropy_with_logits`

. But I can’t find any information about it. It doesn’t have any docstring either. What is the actual code that is called and how is it called?

# Info about binary cross entropy with logits

Hi, this is pretty old question but I think I found its definition:

Hi,

My problem with using binary cross entropy is due to input and target shape.

input size is [n,m] however target size is [n]. By upsampling target size to [n,m], I got “zero-Devision-Error-scaled” error in backward. Any help please?