code: def test_dynamic_broadcast_in_dim(self):
      x = np.ones((3, 4), dtype=np.float32)
      y = np.ones((2, 3, 4), dtype=np.float32)
      res = (np.broadcast_to(x, y.shape), x + y)
  
      def f(x, y):  # x: f32[b, 4]  y: f32[2, b, 4]
          # return (np.broadcast_to(x, y.shape), x + y)
          module, version = serialize(
              """
  module @jit_fun.0 attributes {jax.uses_shape_polymorphism = true} {
    func.func public @main(%arg1: tensor<?x4xf32>, %arg2: tensor<2x?x4xf32>) -> (tensor<2x?x4xf32>, tensor<2x?x4xf32>) {
      %arg0_new = "stablehlo.get_dimension_size"(%arg2) {dimension = 1 : i64} : (tensor<2x?x4xf32>) -> tensor<i32>
      %0, %1 = call @dyn_main(%arg0_new, %arg1, %arg2) : (tensor<i32>, tensor<?x4xf32>, tensor<2x?x4xf32>) -> (tensor<2x?x4xf32>, tensor<2x?x4xf32>)
      return %0, %1 : tensor<2x?x4xf32>, tensor<2x?x4xf32>
    }
    func.func private @dyn_main(%arg0: tensor<i32> {jax.global_constant = "b"}, %arg1: tensor<?x4xf32>, %arg2: tensor<2x?x4xf32>) -> (tensor<2x?x4xf32>, tensor<2x?x4xf32>) {
      %0 = stablehlo.constant dense<2> : tensor<1xi32>
      %2 = stablehlo.reshape %arg0 : (tensor<i32>) -> tensor<1xi32>
      %3 = stablehlo.constant dense<4> : tensor<1xi32>
      %4 = "stablehlo.concatenate"(%0, %2, %3) {dimension = 0 : i64} : (tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<3xi32>
      %5 = "stablehlo.dynamic_broadcast_in_dim"(%arg1, %4) {broadcast_dimensions = dense<[1, 2]> : tensor<2xi64>} : (tensor<?x4xf32>, tensor<3xi32>) -> tensor<2x?x4xf32>
      %6 = stablehlo.add %5, %arg2 : (tensor<2x?x4xf32>, tensor<2x?x4xf32>) -> tensor<2x?x4xf32>
      return %5, %6 : tensor<2x?x4xf32>, tensor<2x?x4xf32>
    }
  }
  """
          )
          return xla.call_module(
              [x, y],
              version=version,
              module=module,
              Tout=[res[0].dtype, res[1].dtype],
              Sout=[(2, None, 4), (2, None, 4)],
              platforms=[self.testing_platform()],
          )
  
      self._assertOpOutputMatchesExpected(f, (x, y), 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 34 for calling the XlaCallModuleOpTest obj's underlying member method code with example usage: obj.test_dynamic_broadcast_in_dim() and returns: xla