code: def test_builder_to_backend_stress(self, compute_unit, backend, rank):
      if (
          backend.backend == "mlprogram"
          and compute_unit != ct.ComputeUnit.CPU_ONLY
      ):
          pytest.xfail(
              "rdar://97398733 (TestLinear failing on mlprogram + GPU)"
          )
  
      if (
          backend.backend == "neuralnetwork"
          and compute_unit != ct.ComputeUnit.CPU_ONLY
          and platform.machine() == "arm64"
          and rank == 5
      ):
          pytest.xfail(
              "rdar://98015195 ([M1 native tests] Some MIL unittests are failing on M1 native)"
          )
  
      x_shape = np.random.randint(low=1, high=3, size=(rank,))
      x_val = np.random.rand(*x_shape)
      out_channels = 3
      w_shape = np.array([out_channels, x_shape[-1]])
      weight_val = np.random.rand(*w_shape).astype(np.float32)
      bias_val = np.random.rand(out_channels).astype(np.float32)
      input_placeholders = {
          "x": mb.placeholder(shape=x_val.shape),
      }
      input_values = {"x": x_val}
  
      def build(x):
          return [mb.linear(x=x, weight=weight_val, bias=bias_val)]
  
      expected_outputs = [
          np.matmul(x_val, np.transpose(weight_val)) + bias_val
      ]
  
      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=expected_outputs,
          compute_unit=compute_unit,
          backend=backend,
      )
  
imports: import itertools
  import platform
  import numpy
  import pytest
  import coremltools
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import get_new_symbol, types
  from coremltools.converters.mil.mil.ops.tests.iOS14 import backends
  from coremltools.converters.mil.mil.ops.tests.testing_utils import run_compare_builder
  from coremltools.converters.mil.mil.types import builtin_to_string, nptype_from_builtin
  from coremltools.converters.mil.testing_reqs import compute_units
  from coremltools.converters.mil.testing_utils import random_gen, ssa_fn
label_desc: Use image node_id 3 for calling the TestLinear obj's underlying member method code with example usage: obj.test_builder_to_backend_stress(compute_unit, backend, rank) and returns: list