code: def test_platforms_basic(self, *, platform_idx_type: str):
      x = np.float32(0.0)
  
      #  returns x + 2. on CPU, x + 3. on GPU (CUDA or ROCM) and x + 4. on TPU
      module, version = serialize(
          f"""
  module @jit_f.0 {{
    func.func public @main(%arg_platform_idx: tensor<{platform_idx_type}> {{jax.global_constant = "_platform_index"}}, %arg0: tensor<f32>) -> tensor<f32> {{
      %0 = stablehlo.convert %arg_platform_idx : (tensor<{platform_idx_type}>) -> tensor<i32>
      %to_add = "stablehlo.case"(%0) ({{
        %cpu_val = stablehlo.constant dense<2.> : tensor<f32>
        stablehlo.return %cpu_val : tensor<f32>
      }}, {{
        %gpu_val = stablehlo.constant dense<3.> : tensor<f32>
        stablehlo.return %gpu_val : tensor<f32>
      }}, {{
        %tpu_val = stablehlo.constant dense<4.> : tensor<f32>
        stablehlo.return %tpu_val : tensor<f32>
      }}) : (tensor<i32>) -> tensor<f32>
      %1 = stablehlo.add %arg0, %to_add : tensor<f32>
      return %1 : tensor<f32>
    }}
  }}
  """
      )
  
      platforms = ["CPU", "CUDA", "ROCM", "TPU"]
  
      def f(x):
          return xla.call_module(
              [x],
              version=version,
              module=module,
              Tout=[np.float32],
              Sout=[()],
              platforms=platforms,
          )
  
      expected_value = (
          x
          + dict(CPU=2.0, CUDA=3.0, ROCM=3.0, TPU=4.0)[
              self.testing_platform()
          ]
      )
      self._assertOpOutputMatchesExpected(f, (x,), (expected_value,))
  
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 12 for calling the XlaCallModuleOpTest obj's underlying member method code with example usage: obj.test_platforms_basic() and returns: xla