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# 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.
```
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