code: def numpy_sort_backward(ctx, saved, grad_out, grad_ind, grad_ind_inv):
      dim, ind, ind_inv = saved
      return {
          "x": torch.ops._torch_testing.numpy_take(
              grad_out, ind_inv, ind, dim
          )
      }
  
imports: import torch
  import functools
  from torch.testing import make_tensor
  from torch.testing._internal.opinfo.core import OpInfo, SampleInput
  from torch.testing._internal.common_dtype import all_types_and
  import numpy
  from torch.testing._internal.autograd_function_db import sample_inputs_numpy_cube, sample_inputs_numpy_mul, sample_inputs_numpy_sort, sample_inputs_numpy_take
  from torch import Tensor
  from torch.types import Number
  from typing import *
  import torch._custom_ops
label_desc: Use image node_id 16 for calling a global function with example usage: numpy_sort_backward(ctx, saved, grad_out, grad_ind, grad_ind_inv) and returns: dict