How to convert Tensorflow model to Lite

About Tensorflow Lite

A set of machine learning tools for smartphones and embedded devices! Lighter than Tensorflow.

About conversion method

It is assumed that Python and Tensorflow (pip) are installed on your PC. First, prepare the model to be converted.

Convert on python

sample

import tensorflow as tf

converter = tf.lite.TFLiteConverter.from_saved_model("test_model.pb")
tflite_model = converter.convert()
open("test_model.tflite", "wb").write(tflite_model)

How to use

import tensorflow as tf

converter = tf.lite.TFLiteConverter.from_saved_model("Relative path to the model")
tflite_model = converter.convert()
open("Where to save the model", "wb").write(tflite_model)

Convert on command line

You can also convert on the command line.

sample

tflite_convert \
  --saved_model_dir=test_model.pb \
  --output_file=test_model.tflite

How to use

tflite_convert \
  --saved_model_dir=Relative path to the model\
  --output_file=Where to save the model

Finally

I will explain how to incorporate Tensorflow Lite into Android, so if you like, please do. The article is here

Also, please refer to the official information. Official article

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