code: def test_dlpack_mxnet_torch_mxnet():
      x = np.array([5], device=mx.gpu(), dtype="float64") + 1
      stream = torch.cuda.Stream()
      with torch.cuda.stream(stream):
          tx = torch.from_dlpack(x)
      stream.synchronize()
      z = np.from_dlpack(tx)
      z += 1
      assert z.device == mx.gpu(0)
      assert z == x
  
imports: import mxnet
  from mxnet import np
  import torch
  import numpy
  import pytest
label_desc: Use image node_id 2 for calling a global function with example usage: test_dlpack_mxnet_torch_mxnet() without return types