torch.nn.functional.binary_cross_entropy_with_logits
torch.nn.functional.binary_cross_entropy_with_logits(input, target, weight=None, size_average=None, reduce=None, reduction='mean', pos_weight=None)
Function that measures Binary Cross Entropy between target and
   input logits.
See "BCEWithLogitsLoss" for details.
Parameters:
      * input (Tensor) -- Tensor of arbitrary shape as
        unnormalized scores (often referred to as logits).
  * **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
