Function that measures Binary Cross Entropy between target and output logits.
Usage
nnf_binary_cross_entropy_with_logits(
input,
target,
weight = NULL,
reduction = c("mean", "sum", "none"),
pos_weight = NULL
)Arguments
- input
Tensor of arbitrary shape
- target
Tensor of the same shape as input
- weight
(Tensor, optional) a manual rescaling weight if provided it's repeated to match input tensor shape.
- reduction
(string, optional) – Specifies the reduction to apply to the output: 'none' | 'mean' | 'sum'. 'none': no reduction will be applied, 'mean': the sum of the output will be divided by the number of elements in the output, 'sum': the output will be summed. Default: 'mean'
- pos_weight
(Tensor, optional) a weight of positive examples. Must be a vector with length equal to the number of classes.