torch.nn.functional.binary_cross_entropy
torch.nn.functional.binary_cross_entropy(input, target, weight=None, size_average=None, reduce=None, reduction='mean')
Function that measures the Binary Cross Entropy between the target
   and input probabilities.
See "BCELoss" for details.
Parameters:
      * input (Tensor) -- Tensor of arbitrary shape as
        probabilities.
  * **target** (*Tensor*) -- Tensor of the same shape as input
    with values between 0 and 1.

  * **weight** (*Tensor**, **optional*) -- a manual rescaling
    weight if provided it's repeated to match input tensor shape

  * **size_average** (*bool**, **optional*) -- Deprecated (see
    "reduction"). By default, the losses are averaged over each
    loss element in the batch. Note that for some losses, there
    multiple elements per sample. If the field "size_average" is
    set to "False", the losses are instead summed for each
