benderthon/tf_freeze.py
def freeze(sess, output_file_path, output_node_names):
    """Freeze and shrink the graph based on a session and the output node names."""
    with TemporaryDirectory() as temp_dir_name:
        checkpoint_path = os.path.join(temp_dir_name, 'model.ckpt')
        tf.train.Saver().save(sess, checkpoint_path)

        freeze_from_checkpoint(checkpoint_path, output_file_path, output_node_names)
def freeze(sess, output_file_path, output_node_names):
    """Freeze and shrink the graph based on a session and the output node names."""
    with TemporaryDirectory() as temp_dir_name:
        checkpoint_path = os.path.join(temp_dir_name, 'model.ckpt')
        tf.train.Saver().save(sess, checkpoint_path)

        freeze_from_checkpoint(checkpoint_path, output_file_path, output_node_names)
def freeze ( sess , output_file_path , output_node_names ) : with TemporaryDirectory ( ) as temp_dir_name : checkpoint_path = os . path . join ( temp_dir_name , 'model.ckpt' ) tf . train . Saver ( ) . save ( sess , checkpoint_path ) freeze_from_checkpoint ( checkpoint_path , output_file_path , output_node_names )
Freeze and shrink the graph based on a session and the output node names.
Freeze and shrink the graph based on a session and the output node names .