How to save a model with tf checkpoint

This recipe helps you save a model with tf checkpoint

Recipe Objective

How to save model with tf checkpoint?

This can be achieved by using "tf.train.Checkpoint" which will make a checkpoint for our model and then "Checkpoint.save" will save our model by using the checkpoint. Also restoring of a checkpoint is possible by using "checkpoint.restore" which will restore our model which have been saved by using the checkpoint.

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Step 1 - Import library

import tensorflow as tf from tensorflow import keras

Step 2 - Take Sample data

Sample_data = tf.constant([2.0, 3.0, 5.0, 7.0])

Step 3 - Make model and checkpoint

make_model = tf.keras.Model(Sample_data) My_checkpoint = tf.train.Checkpoint(make_model)

Step 4 - Save the model using checkpoint

path_saving = checkpoint.save('/tmp/training_checkpoints')

Step 5 - Restore the model

My_checkpoint.restore(path_saving)

 

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