function categoricalCrossentropy$2(yTrue, yPred) {
	  return categoricalCrossentropy$1(yTrue, yPred);
	}
Categorical crossentropy between an output tensor and a target tensor.

@param target A tensor of the same shape as `output`.
@param output A tensor resulting from a softmax (unless `fromLogits` is
 `true`, in which case `output` is expected to be the logits).
@param fromLogits Boolean, whether `output` is the result of a softmax, or is
  a tensor of logits.

@doc {heading: 'Metrics', namespace: 'metrics'}