code: def create_kernel(self, input_raw, output_raw):
      # Creates a no-op kernel with given parameter specification.
      # input_raw and output_raw are tuples of True/False whose
      # corresponding parameter will be designated as 'raw' if True.
      input_types = ", ".join(
          [
              "{}float32 x{}".format(("raw " if raw else ""), i)
              for i, raw in enumerate(input_raw)
          ]
      )
      output_types = ", ".join(
          [
              "{}float32 y{}".format(("raw " if raw else ""), i)
              for i, raw in enumerate(output_raw)
          ]
      )
      return cupy.ElementwiseKernel(
          input_types, output_types, "", "kernel"
      )
  
imports: import unittest
  import numpy
  import pytest
  import cupy
  from cupy import testing
  from cupy.cuda import runtime
  from cupy.cuda.texture import ChannelFormatDescriptor, CUDAarray, ResourceDescriptor, TextureDescriptor, TextureObject
label_desc: Use image node_id 4 for calling the TestElementwiseKernelSize obj's underlying member method code with example usage: obj.create_kernel(input_raw, output_raw) and returns: cupy