code: def test_builder_to_backend_stress(
      self, use_cpu_only, backend, rank_and_axis, size, stride
  ):
      def np_sliding_windows(a, np_axis, np_size, np_stride):
          n = (a.shape[np_axis] - np_size) // np_stride + 1
          x_shape = list(a.shape)
          x_shape[np_axis] = n
          if np_axis < 0:
              np_axis += len(x_shape)
          x_shape.insert(np_axis + 1, np_size)
          strides = list(a.strides)
          eff_stride = strides[np_axis] * np_stride
          strides.insert(np_axis, eff_stride)
          return np.lib.stride_tricks.as_strided(a, x_shape, strides)
  
      rank, axis = rank_and_axis
      shape = np.random.randint(low=2, high=5, size=rank)
      val = np.random.rand(*shape)
      input_placeholders = {"x": mb.placeholder(shape=val.shape)}
      input_values = {"x": val}
  
      def build(x):
          return [
              mb.sliding_windows(
                  x=x, axis=axis, size=size, stride=stride
              )
          ]
  
      expected_outputs = [
          np_sliding_windows(
              val, np_axis=axis, np_size=size, np_stride=stride
          )
      ]
      expected_output_types = [
          o.shape[:] + (types.fp32,) for o in expected_outputs
      ]
      run_compare_builder(
          build,
          input_placeholders,
          input_values,
          expected_output_types,
          expected_outputs,
          use_cpu_only=use_cpu_only,
          backend=backend,
      )
  
imports: from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.mil import get_new_symbol, get_new_variadic_symbol
  from coremltools.converters.mil.testing_reqs import *
  from .testing_utils import UNK_SYM, UNK_VARIADIC, run_compare_builder
label_desc: Use image node_id 2 for calling the TestSlidingWindows obj's underlying member method code with example usage: obj.test_builder_to_backend_stress(use_cpu_only, backend, rank_and_axis, size, stride) and returns: np, list