code: def numpy_split_copy_impl(x, splits, dim):
      x_np = to_numpy(x)
      arrs = np.split(x_np, splits, axis=dim)
      return [
          torch.tensor(arr, device=x.device, dtype=x.dtype)
          for arr in arrs
      ]
  
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 39 for calling a global function with example usage: numpy_split_copy_impl(x, splits, dim) and returns: unknown