code: def test_conv_transpose_invalid(
      device,
      x_shape,
      w_shape,
      b_shape,
      stride,
      pad,
      outsize,
      float_dtype,
  ):
      dtype = float_dtype
      x = array_utils.create_dummy_ndarray(chainerx, x_shape, dtype)
      w = array_utils.create_dummy_ndarray(chainerx, w_shape, dtype)
      if b_shape is None:
          b = None
      else:
          b = array_utils.create_dummy_ndarray(
              chainerx, b_shape, float_dtype
          )
  
      with pytest.raises(chainerx.DimensionError):
          chainerx.conv_transpose(x, w, b, stride, pad, outsize)
  
imports: import unittest
  import chainer
  from chainer import functions
  import numpy
  import pytest
  import chainerx
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 5 for calling a global function with example usage: test_conv_transpose_invalid(device, x_shape, w_shape, b_shape, stride, pad, outsize, float_dtype) without return types