old_contents: # Copyright 2019 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.
  # ==============================================================================
  """Test file to display the error message and verify it with FileCheck."""
  
  # RUN: %p/concrete_function_error | FileCheck %s
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import sys
  
  from absl import app
  
  import tensorflow.compat.v2 as tf
  if hasattr(tf, 'enable_v2_behavior'):
    tf.enable_v2_behavior()
  
  
  class TestGraphDebugInfo(object):
    """Test stack trace can be displayed."""
  
    def testConcreteFunctionDebugInfo(self):
      """Create a concrete func with unsupported ops, and convert it."""
      @tf.function(
          input_signature=[tf.TensorSpec(shape=[3, 3], dtype=tf.float32)])
      def model(x):
        y = tf.math.betainc(x, 0.5, 1.0)  # Not supported
        return y + y
  
      func = model.get_concrete_function()
      converter = tf.lite.TFLiteConverter.from_concrete_functions([func])
      converter.convert()
  
  # pylint: disable=line-too-long
  
  # CHECK-LABEL: testConcreteFunctionDebugInfo
  # CHECK: error: 'tf.Betainc' op is neither a custom op nor a flex op
  # CHECK:                                  attrs=attr_protos, op_def=op_def)
  # CHECK:                                  ^
  # CHECK: {{.*tensorflow/python/ops/gen_math_ops.py:[0-9]+:[0-9]+: note: called from}}
  # CHECK:         "Betainc", a=a, b=b, x=x, name=name)
  # CHECK:         ^
  # CHECK: {{.*tensorflow/compiler/mlir/lite/tests/debuginfo/concrete_function_error.py:[0-9]+:[0-9]+: note: called from}}
  # CHECK:     y = tf.math.betainc(x, 0.5, 1.0)  # Not supported
  # CHECK:     ^
  # CHECK: <unknown>:0: error: failed while converting: 'main'
  
  # pylint: enable=line-too-long
  
  
  def main(argv):
    if len(argv) > 1:
      raise app.UsageError('Too many command-line arguments.')
  
    try:
      TestGraphDebugInfo().testConcreteFunctionDebugInfo()
    except Exception as e:  # pylint: disable=broad-except
      sys.stdout.write('testConcreteFunctionDebugInfo')
      sys.stdout.write(str(e))
  
  
  if __name__ == '__main__':
    app.run(main)
  
new_contents: # Copyright 2019 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.
  # ==============================================================================
  """Test file to display the error message and verify it with FileCheck."""
  
  # RUN: %p/concrete_function_error | FileCheck %s
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import sys
  
  from absl import app
  
  import tensorflow.compat.v2 as tf
  if hasattr(tf, 'enable_v2_behavior'):
    tf.enable_v2_behavior()
  
  
  class TestGraphDebugInfo(object):
    """Test stack trace can be displayed."""
  
    def testConcreteFunctionDebugInfo(self):
      """Create a concrete func with unsupported ops, and convert it."""
      @tf.function(
          input_signature=[tf.TensorSpec(shape=[3, 3], dtype=tf.float32)])
      def model(x):
        y = tf.math.betainc(x, 0.5, 1.0)  # Not supported
        return y + y
  
      func = model.get_concrete_function()
      converter = tf.lite.TFLiteConverter.from_concrete_functions([func], model)
      converter.convert()
  
  # pylint: disable=line-too-long
  
  # CHECK-LABEL: testConcreteFunctionDebugInfo
  # CHECK: error: 'tf.Betainc' op is neither a custom op nor a flex op
  # CHECK:                                  attrs=attr_protos, op_def=op_def)
  # CHECK:                                  ^
  # CHECK: {{.*tensorflow/python/ops/gen_math_ops.py:[0-9]+:[0-9]+: note: called from}}
  # CHECK:         "Betainc", a=a, b=b, x=x, name=name)
  # CHECK:         ^
  # CHECK: {{.*tensorflow/compiler/mlir/lite/tests/debuginfo/concrete_function_error.py:[0-9]+:[0-9]+: note: called from}}
  # CHECK:     y = tf.math.betainc(x, 0.5, 1.0)  # Not supported
  # CHECK:     ^
  # CHECK: <unknown>:0: error: failed while converting: 'main'
  
  # pylint: enable=line-too-long
  
  
  def main(argv):
    if len(argv) > 1:
      raise app.UsageError('Too many command-line arguments.')
  
    try:
      TestGraphDebugInfo().testConcreteFunctionDebugInfo()
    except Exception as e:  # pylint: disable=broad-except
      sys.stdout.write('testConcreteFunctionDebugInfo')
      sys.stdout.write(str(e))
  
  
  if __name__ == '__main__':
    app.run(main)
  
subject: Update TFLite concrete function conversion codes to have the associated trackable object.