code: def binary_cross_entropy(
      input, label, weight=None, reduction="mean", name=None
  ):
      reduction = _get_reduction_func(reduction)
      result = ivy.binary_cross_entropy(
          label, input, epsilon=0.0, reduction="none"
      )
      if weight is not None:
          result = ivy.multiply(weight, result)
      result = reduction(result)
      return result
  
imports: import ivy
  from ivy.func_wrapper import with_supported_dtypes
  import ivy.functional.frontends.paddle
  from ivy.utils.exceptions import handle_exceptions
  from ivy.functional.frontends.paddle.func_wrapper import inputs_to_ivy_arrays, to_ivy_arrays_and_back
label_desc: Use image node_id 3 for calling a global function with example usage: binary_cross_entropy(input, label, weight, reduction, name) and returns: result