code: def mse_loss(input, label, reduction="mean", name=None):
      reduction = _get_reduction_func(reduction)
      ret = ivy.square(input - label)
      ret = reduction(ret)
  
      return paddle.to_tensor(ret)
  
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 12 for calling a global function with example usage: mse_loss(input, label, reduction, name) and returns: paddle