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