98 lines
3.1 KiB
Python
98 lines
3.1 KiB
Python
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Python console command to invoke TOCO from serialized protos."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import argparse
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import sys
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# We need to import pywrap_tensorflow prior to the toco wrapper.
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# pylint: disable=invalid-import-order,g-bad-import-order
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from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
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from tensorflow.python import _pywrap_toco_api
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from tensorflow.python.platform import app
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FLAGS = None
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def execute(unused_args):
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"""Runs the converter."""
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with open(FLAGS.model_proto_file, "rb") as model_file:
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model_str = model_file.read()
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with open(FLAGS.toco_proto_file, "rb") as toco_file:
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toco_str = toco_file.read()
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with open(FLAGS.model_input_file, "rb") as input_file:
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input_str = input_file.read()
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debug_info_str = None
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if FLAGS.debug_proto_file:
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with open(FLAGS.debug_proto_file, "rb") as debug_info_file:
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debug_info_str = debug_info_file.read()
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enable_mlir_converter = FLAGS.enable_mlir_converter
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output_str = _pywrap_toco_api.TocoConvert(
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model_str,
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toco_str,
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input_str,
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False, # extended_return
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debug_info_str,
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enable_mlir_converter)
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open(FLAGS.model_output_file, "wb").write(output_str)
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sys.exit(0)
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def main():
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global FLAGS
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parser = argparse.ArgumentParser(
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description="Invoke toco using protos as input.")
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parser.add_argument(
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"model_proto_file",
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type=str,
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help="File containing serialized proto that describes the model.")
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parser.add_argument(
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"toco_proto_file",
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type=str,
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help="File containing serialized proto describing how TOCO should run.")
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parser.add_argument(
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"model_input_file", type=str, help="Input model is read from this file.")
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parser.add_argument(
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"model_output_file",
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type=str,
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help="Result of applying TOCO conversion is written here.")
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parser.add_argument(
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"--debug_proto_file",
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type=str,
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default="",
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help=("File containing serialized `GraphDebugInfo` proto that describes "
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"logging information."))
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parser.add_argument(
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"--enable_mlir_converter",
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action="store_true",
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help=("Boolean indiciating whether to enable MLIR-based conversion "
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"instead of TOCO conversion. (default False)"))
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FLAGS, unparsed = parser.parse_known_args()
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app.run(main=execute, argv=[sys.argv[0]] + unparsed)
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if __name__ == "__main__":
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main()
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