Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow/lite/toco/python/toco_from_protos.py: 0%

1# Copyright 2017 The TensorFlow Authors. All Rights Reserved. 

2# 

3# Licensed under the Apache License, Version 2.0 (the "License"); 

4# you may not use this file except in compliance with the License. 

5# You may obtain a copy of the License at 

6# 

7# http://www.apache.org/licenses/LICENSE-2.0 

8# 

9# Unless required by applicable law or agreed to in writing, software 

10# distributed under the License is distributed on an "AS IS" BASIS, 

11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

12# See the License for the specific language governing permissions and 

13# limitations under the License. 

14# ============================================================================== 

15"""Python console command to invoke TOCO from serialized protos.""" 

16import argparse 

17import sys 

18 

19# We need to import pywrap_tensorflow prior to the toco wrapper. 

20# pylint: disable=invalid-import-order,g-bad-import-order 

21from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import 

22from tensorflow.python import _pywrap_toco_api 

23from absl import app 

24 

25FLAGS = None 

26 

27 

28def execute(unused_args): 

29 """Runs the converter.""" 

30 with open(FLAGS.model_proto_file, "rb") as model_file: 

31 model_str = model_file.read() 

32 

33 with open(FLAGS.toco_proto_file, "rb") as toco_file: 

34 toco_str = toco_file.read() 

35 

36 with open(FLAGS.model_input_file, "rb") as input_file: 

37 input_str = input_file.read() 

38 

39 debug_info_str = None 

40 if FLAGS.debug_proto_file: 

41 with open(FLAGS.debug_proto_file, "rb") as debug_info_file: 

42 debug_info_str = debug_info_file.read() 

43 

44 enable_mlir_converter = FLAGS.enable_mlir_converter 

45 

46 output_str = _pywrap_toco_api.TocoConvert( 

47 model_str, 

48 toco_str, 

49 input_str, 

50 False, # extended_return 

51 debug_info_str, 

52 enable_mlir_converter) 

53 open(FLAGS.model_output_file, "wb").write(output_str) 

54 sys.exit(0) 

55 

56 

57def main(): 

58 global FLAGS 

59 parser = argparse.ArgumentParser( 

60 description="Invoke toco using protos as input.") 

61 parser.add_argument( 

62 "model_proto_file", 

63 type=str, 

64 help="File containing serialized proto that describes the model.") 

65 parser.add_argument( 

66 "toco_proto_file", 

67 type=str, 

68 help="File containing serialized proto describing how TOCO should run.") 

69 parser.add_argument( 

70 "model_input_file", type=str, help="Input model is read from this file.") 

71 parser.add_argument( 

72 "model_output_file", 

73 type=str, 

74 help="Result of applying TOCO conversion is written here.") 

75 parser.add_argument( 

76 "--debug_proto_file", 

77 type=str, 

78 default="", 

79 help=("File containing serialized `GraphDebugInfo` proto that describes " 

80 "logging information.")) 

81 parser.add_argument( 

82 "--enable_mlir_converter", 

83 action="store_true", 

84 help=("Boolean indicating whether to enable MLIR-based conversion " 

85 "instead of TOCO conversion. (default False)")) 

86 

87 FLAGS, unparsed = parser.parse_known_args() 

88 

89 app.run(main=execute, argv=[sys.argv[0]] + unparsed) 

90 

91 

92if __name__ == "__main__": 

93 main()