old_contents: # Copyright 2016 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.
  # ==============================================================================
  r"""Prints a header file to be used with SELECTIVE_REGISTRATION.
  
  An example of command-line usage is:
    bazel build tensorflow/python/tools:print_selective_registration_header && \
    bazel-bin/tensorflow/python/tools:print_selective_registration_header \
      --graphs=path/to/graph.pb > ops_to_register.h
  
  Then when compiling tensorflow, include ops_to_register.h in the include search
  path and pass -DSELECTIVE_REGISTRATION and -DSUPPORT_SELECTIVE_REGISTRATION
   - see core/framework/selective_registration.h for more details.
  
  When compiling for Android:
    bazel build -c opt --copt="-DSELECTIVE_REGISTRATION" \
      --copt="-DSUPPORT_SELECTIVE_REGISTRATION" \
      //tensorflow/contrib/android:libtensorflow_inference.so \
      --host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
      --config=android_arm
  """
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import argparse
  import sys
  
  from tensorflow.python.platform import app
  from tensorflow.python.tools import selective_registration_header_lib
  
  FLAGS = None
  
  
  def main(unused_argv):
    graphs = FLAGS.graphs.split(',')
    print(selective_registration_header_lib.get_header(
        graphs, FLAGS.proto_fileformat, FLAGS.default_ops))
  
  
  if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.register('type', 'bool', lambda v: v.lower() == 'true')
    parser.add_argument(
        '--graphs',
        type=str,
        default='',
        help='Comma-separated list of paths to model files to be analyzed.',
        required=True)
    parser.add_argument(
        '--proto_fileformat',
        type=str,
        default='rawproto',
        help='Format of proto file, either textproto or rawproto.')
    parser.add_argument(
        '--default_ops',
        type=str,
        default='NoOp:NoOp,_Recv:RecvOp,_Send:SendOp',
        help='Default operator:kernel pairs to always include implementation for.'
        'Pass "all" to have all operators and kernels included; note that this '
        'should be used only when it is useful compared with simply not using '
        'selective registration, as it can in some cases limit the effect of '
        'compilation caches')
  
    FLAGS, unparsed = parser.parse_known_args()
    app.run(main=main, argv=[sys.argv[0]] + unparsed)
  
new_contents: # Copyright 2016 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.
  # ==============================================================================
  r"""Prints a header file to be used with SELECTIVE_REGISTRATION.
  
  An example of command-line usage is:
    bazel build tensorflow/python/tools:print_selective_registration_header && \
    bazel-bin/tensorflow/python/tools/print_selective_registration_header \
      --graphs=path/to/graph.pb > ops_to_register.h
  
  Then when compiling tensorflow, include ops_to_register.h in the include search
  path and pass -DSELECTIVE_REGISTRATION and -DSUPPORT_SELECTIVE_REGISTRATION
   - see core/framework/selective_registration.h for more details.
  
  When compiling for Android:
    bazel build -c opt --copt="-DSELECTIVE_REGISTRATION" \
      --copt="-DSUPPORT_SELECTIVE_REGISTRATION" \
      //tensorflow/contrib/android:libtensorflow_inference.so \
      --host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
      --config=android_arm
  """
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import argparse
  import sys
  
  from tensorflow.python.platform import app
  from tensorflow.python.tools import selective_registration_header_lib
  
  FLAGS = None
  
  
  def main(unused_argv):
    graphs = FLAGS.graphs.split(',')
    print(selective_registration_header_lib.get_header(
        graphs, FLAGS.proto_fileformat, FLAGS.default_ops))
  
  
  if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.register('type', 'bool', lambda v: v.lower() == 'true')
    parser.add_argument(
        '--graphs',
        type=str,
        default='',
        help='Comma-separated list of paths to model files to be analyzed.',
        required=True)
    parser.add_argument(
        '--proto_fileformat',
        type=str,
        default='rawproto',
        help='Format of proto file, either textproto or rawproto.')
    parser.add_argument(
        '--default_ops',
        type=str,
        default='NoOp:NoOp,_Recv:RecvOp,_Send:SendOp',
        help='Default operator:kernel pairs to always include implementation for.'
        'Pass "all" to have all operators and kernels included; note that this '
        'should be used only when it is useful compared with simply not using '
        'selective registration, as it can in some cases limit the effect of '
        'compilation caches')
  
    FLAGS, unparsed = parser.parse_known_args()
    app.run(main=main, argv=[sys.argv[0]] + unparsed)
  
subject: Fix typo in bazel command