code: def margin_ranking_loss(
      input1,
      input2,
      target,
      margin=0.0,
      size_average=None,
      reduce=None,
      reduction="mean",
  ):
      input1, input2 = torch_frontend.promote_types_of_torch_inputs(
          input1, input2
      )
      input2, target = torch_frontend.promote_types_of_torch_inputs(
          input2, target
      )
      loss = -1 * target * (input1 - input2) + margin
      loss = ivy.where(loss < 0, 0, loss)
      reduction = _get_reduction(reduction, size_average, reduce)
      return reduction(loss).astype(input1.dtype)
  
imports: import ivy
  import ivy.functional.frontends.torch
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
label_desc: Use image node_id 16 for calling a global function with example usage: margin_ranking_loss(input1, input2, target, margin, size_average, reduce, reduction) and returns: reduction