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diff --git a/tools/nnpackage_tool/tf2tfliteV2/README.md b/tools/nnpackage_tool/tf2tfliteV2/README.md new file mode 100644 index 000000000..836740a5c --- /dev/null +++ b/tools/nnpackage_tool/tf2tfliteV2/README.md @@ -0,0 +1,47 @@ +# tf2tfliteV2 + +_tf2tfliteV2_ is a TensorFlow to TensorFlow Lite model Converter. + +## Where does V2 come from? +Even though we alreay have _tf2tflite_, we cannot cover all opeartors in TensorFlow. To expand coverage, we introduce _tf2tfliteV2_ which uses `TensorFlow Lite Converter`(by Google) internally. + +## Prerequisite +- Frozen graph from TensorFlow 1.13.1 +- Desired version of TensorFlow(You can use python virtualenv, docker, etc.) + +## Example +``` +python tf2tfliteV2.py \ +> --v1 \ +> --input_path=frozen_graph.pb \ +> --output_path=converted.tflite \ +> --input_arrays=model_inputs \ +> --output_arrays=model_outputs + +``` +``` +python tf2tfliteV2.py \ +> --v2 \ +> --input_path=frozen_graph.pb \ +> --output_path=converted.tflite \ +> --input_arrays=model_inputs \ +> --output_arrays=model_outputs +``` + +## optional argument +``` + -h, --help show this help message and exit + --v1 Use TensorFlow Lite Converter 1.x + --v2 Use TensorFlow Lite Converter 2.x + --input_path INPUT_PATH + Full filepath of the input file. + --output_path OUTPUT_PATH + Full filepath of the output file. + --input_arrays INPUT_ARRAYS + Names of the input arrays, comma-separated. + --input_shapes INPUT_SHAPES + Shapes corresponding to --input_arrays, colon- + separated. + --output_arrays OUTPUT_ARRAYS + Names of the output arrays, comma-separated. +``` |