old_contents: # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from absl.testing import parameterized
  
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework import tfrt_utils
  from tensorflow.python.platform import test
  
  
  class DefFunctionCpuOnlyTest(test.TestCase, parameterized.TestCase):
    """Test that experimental_compile=True correctly throws an exception if XLA is not available.
  
    This test should only be run without `--config=cuda`, as that implicitly links
    in XLA JIT.
    """
  
    def testExperimentalCompileRaisesExceptionWhenXlaIsUnsupported(self):
      if test.is_built_with_rocm() or test_util.is_xla_enabled():
        return
  
      with self.assertRaisesRegex((errors.UnknownError if tfrt_utils.enabled()
                                   else errors.UnimplementedError),
                                  'check target linkage'):
  
        @def_function.function(experimental_compile=True)
        def fn(x):
          return x + x
  
        fn([1, 1, 2, 3])
  
  
  if __name__ == '__main__':
    ops.enable_eager_execution()
    test.main()
  
new_contents: # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from absl.testing import parameterized
  
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
  
  
  class DefFunctionCpuOnlyTest(test.TestCase, parameterized.TestCase):
    """Test that experimental_compile=True correctly throws an exception if XLA is not available.
  
    This test should only be run without `--config=cuda`, as that implicitly links
    in XLA JIT.
    """
  
    def testExperimentalCompileRaisesExceptionWhenXlaIsUnsupported(self):
      if test.is_built_with_rocm() or test_util.is_xla_enabled():
        return
  
      with self.assertRaisesRegex(errors.UnimplementedError,
                                  'check target linkage'):
  
        @def_function.function(experimental_compile=True)
        def fn(x):
          return x + x
  
        fn([1, 1, 2, 3])
  
  
  if __name__ == '__main__':
    ops.enable_eager_execution()
    test.main()
  
subject: Add UNIMPLEMENTED error code in TFRT.