code: def test_invalid_bias(self, compute_unit, backend, conv_dim):
      N, C_in, C_out = tuple(np.random.randint(low=1, high=10, size=3))
      D = tuple(np.random.randint(low=8, high=16, size=conv_dim))
      K = tuple(np.random.randint(low=1, high=4, size=conv_dim))
  
      input_shape = (N, C_in) + D
      x = np.random.rand(*input_shape)
  
      weight = np.random.rand(C_out, C_in, *K) * 2.0 - 1.0
  
      wrong_bias_size = C_out + np.random.randint(low=1, high=8)
      bias = np.random.rand(wrong_bias_size) * 2.0 - 1.0
  
      def build(x):
          return mb.conv(x=x, weight=weight, bias=bias)
  
      with pytest.raises(
          ValueError,
          match=r"# of bias values [0-9]+ not equal to # output channels [0-9]+",
      ):
          run_compare_builder(
              build,
              {"x": mb.placeholder(shape=input_shape)},
              {"x": x},
              compute_unit=compute_unit,
              backend=backend,
          )
  
imports: import itertools
  import numpy
  import pytest
  import coremltools
  from coremltools._deps import _HAS_TORCH, MSG_TORCH_NOT_FOUND
  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.testing_reqs import compute_units
  from coremltools.converters.mil.testing_utils import random_gen
label_desc: Use image node_id 2 for calling the TestInvalidConvConfig obj's underlying member method code with example usage: obj.test_invalid_bias(compute_unit, backend, conv_dim) and returns: mb