code: def test_dlpack_error_message():
      with pytest.raises(AttributeError):
          # raise Attribute Error, NumPy array is not PyCapsule or has __dlpack__ attribute
          nx = numpy.array([5])
          x = np.from_dlpack(nx)
  
      with pytest.raises(TypeError):
          # raise TypeError, Stream must be int or None
          stream = torch.cuda.Stream()
          x = np.array([5], device=mx.gpu(), dtype="float64")
          tx = torch.from_dlpack(x.__dlpack__(stream=stream))
  
      with pytest.raises(ValueError):
          # raise ValueError, CPU device has no stream
          x = np.array([5], dtype="float64")
          tx = torch.from_dlpack(x.__dlpack__(stream=0))
  
imports: import mxnet
  from mxnet import np
  import torch
  import numpy
  import pytest
label_desc: Use image node_id 3 for calling a global function with example usage: test_dlpack_error_message() without return types