code: def _create_conv_args(
      xp,
      device,
      x_shape,
      w_shape,
      b_shape,
      stride,
      pad,
      cover_all,
      float_dtype,
  ):
      x = array_utils.create_dummy_ndarray(xp, x_shape, float_dtype)
      w = array_utils.create_dummy_ndarray(xp, w_shape, float_dtype)
      if b_shape is None:
          b = None
      else:
          b = array_utils.create_dummy_ndarray(xp, b_shape, float_dtype)
      if (
          device.backend.name == "cuda"
      ):  # cover_all is not supported by CUDA.
          cover_all = False
      return x, w, b, stride, pad, cover_all
  
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 2 for calling a global function with example usage: _create_conv_args(xp, device, x_shape, w_shape, b_shape, stride, pad, cover_all, float_dtype) and returns: x,  w,  b,  stride,  pad,  cover_all