old_contents: # Copyright 2018 Google Inc. 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.
  """Converts TF SavedModel to the TensorRT enabled graph"""
  
  import argparse
  import tensorflow.contrib.tensorrt as trt
  
  parser = argparse.ArgumentParser(
  	description="Converts SavedModel to the TensorRT enabled graph.")
  
  parser.add_argument("--input_model_dir", required=True)
  parser.add_argument("--output_model_dir", required=True)
  parser.add_argument("--batch_size", required=True, type=int)
  parser.add_argument("--precision_mode", required=True,
  										choices=["FP32", "FP16", "INT8", "INT4"])
  args = parser.parse_args()
  
  trt.create_inference_graph(
  	None, None, max_batch_size=args.batch_size,
  	input_saved_model_dir=args.input_model_dir,
  	output_saved_model_dir=args.output_model_dir,
  	precision_mode=args.precision_mode)
  
new_contents: # Copyright 2018 Google Inc. 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.
  """Converts TF SavedModel to the TensorRT enabled graph"""
  
  import argparse
  import tensorflow.contrib.tensorrt as trt
  
  parser = argparse.ArgumentParser(
  	description="Converts SavedModel to the TensorRT enabled graph.")
  
  parser.add_argument("--input_model_dir", required=True)
  parser.add_argument("--output_model_dir", required=True)
  parser.add_argument("--batch_size", required=True, type=int)
  parser.add_argument("--precision_mode", required=True, choices=["FP32", "FP16", "INT8", "INT4"])
  args = parser.parse_args()
  
  trt.create_inference_graph(
  	None, 
  	None, 
  	max_batch_size=args.batch_size,
  	input_saved_model_dir=args.input_model_dir,
  	output_saved_model_dir=args.output_model_dir,
  	precision_mode=args.precision_mode)
  
subject: Update convert_to_rt.py