How to save only essential parameters in TensorFlow?

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by enrico , in category: General Help , 3 months ago

How to save only essential parameters in TensorFlow?

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1 answer

by aliya.yundt , 3 months ago

@enrico 

To save only essential parameters in TensorFlow, you can follow the steps below:

  1. Create a TensorFlow Saver object and specify the parameters that you want to save. This can be done by manually selecting the variables or by using a naming convention for the desired variables.
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saver = tf.train.Saver(var_list=[var1, var2, var3])


  1. During training or after your model has been trained, you need to save the desired parameters. To achieve this, you can call the save method of the Saver object within a TensorFlow session, specifying the file path where the parameters will be saved.
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with tf.Session() as sess:
    # Restoring or training the model ...
    
    # Save only the essential parameters
    saver.save(sess, 'path/to/save/essential_params.ckpt')


When you save the parameters using the Saver object, TensorFlow will create a checkpoint file (with the specified file path) that contains only the essential parameters you selected.


Note that you need to have an active TensorFlow session in order to save the variables. Also, ensure that you have restored or trained the model before saving the parameters to include the latest updates.