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  /external/tensorflow/tensorflow/contrib/lite/toco/
toco_tooling.cc 28 #include "tensorflow/contrib/lite/toco/tflite/export.h"
29 #include "tensorflow/contrib/lite/toco/tflite/import.h"
107 return (format == GRAPHVIZ_DOT || format == TFLITE);
111 return (format == GRAPHVIZ_DOT || format == TFLITE);
116 format == TFLITE);
120 return (format == TFLITE);
177 case TFLITE:
178 model = toco::tflite::Import(model_flags, input_file_contents);
238 if (output_format == TFLITE) {
286 if (output_format != GRAPHVIZ_DOT && output_format != TFLITE) {
    [all...]
  /external/tensorflow/tensorflow/contrib/lite/python/
lite.py 59 TFLITE = _toco_flags_pb2.TFLITE
94 Converted model in serialized form (e.g. a TFLITE model is common).
146 output_format=TFLITE,
151 Typically this is to convert from TensorFlow GraphDef to TFLite, in which
161 output_format: Type of data to write (currently must be TFLITE or
170 The converted data. For example if tflite was the destination, then
171 this will be a tflite flatbuffer in a bytes array.
223 "TFLITE",
  /external/tensorflow/tensorflow/contrib/lite/toco/python/
toco_from_protos_test.py 38 """Use toco binary to check conversion from graphdef to tflite.
50 toco_flags.output_format = toco_flags_pb2.TFLITE

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