code: def test_skip_shape_refinement(self):
      # We skipped the shape refinement, but there are dynamic shapes.
      x = np.ones((5,), dtype=np.float32)
      res = x
  
      module_attrs = ""  # attribute is missing
  
      def f(x):  # x: f32[b]
          module, version = serialize(
              f"""
  module @jit_fun_3 {module_attrs} {{
    func.func public @main(%arg1: tensor<?xf32>) -> tensor<?xf32> {{
      %arg0_new = "stablehlo.get_dimension_size"(%arg1) {{dimension = 0 : i64}} : (tensor<?xf32>) -> tensor<i32>
      %0 = call @dyn_main(%arg0_new, %arg1) : (tensor<i32>, tensor<?xf32>) -> tensor<?xf32>
      return %0 : tensor<?xf32>
    }}
    func.func private @dyn_main(%arg0: tensor<i32> {{jax.global_constant = "b"}}, %arg1: tensor<?xf32>) -> tensor<?xf32> {{
      return %arg1 : tensor<?xf32>
    }}
  }}
  """
          )
          return xla.call_module(
              [x],
              version=version,
              module=module,
              Tout=[res.dtype],
              Sout=[()],
              platforms=[self.testing_platform()],
          )
  
      module_attrs = ""  # attribute is missing
      with self.assertRaisesRegex(
          errors.InvalidArgumentError, "Module has dynamic shapes"
      ):
          self._assertOpOutputMatchesExpected(f, (x,), (res,))
  
      module_attrs = "attributes {jax.uses_shape_polymorphism = false}"
      with self.assertRaisesRegex(
          errors.InvalidArgumentError, "Module has dynamic shapes"
      ):
          self._assertOpOutputMatchesExpected(f, (x,), (res,))
  
imports: import os
  import re
  from typing import Optional, Sequence
  import unittest
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.mlir.stablehlo import stablehlo
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import googletest
  from tensorflow.python.platform import test
label_desc: Use image node_id 40 for calling the XlaCallModuleOpTest obj's underlying member method code with example usage: obj.test_skip_shape_refinement() and returns: xla