I want to see the variables that are saved in a tensorflow checkpoint along with their values. How can I find the variable names that are saved in a tensorflow checkpoint?
EDIT :
I used tf.train.NewCheckpointReader which is explained here. But, it is not given in the documentation of tensorflow. Is there any other way?
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import tensorflow as tf v0 = tf.Variable([[1, 2, 3], [4, 5, 6]], dtype=tf.float32, name="v0") v1 = tf.Variable([[[1], [2]], [[3], [4]], [[5], [6]]], dtype=tf.float32, name="v1") init_all_op = tf.initialize_all_variables() save = tf.train.Saver({"v0": v0, "v1": v1}) checkpoint_path = os.path.join(model_dir, "model.ckpt") with tf.Session() as sess: sess.run(init_all_op) # Saves a checkpoint. save.save(sess, checkpoint_path) # Creates a reader. reader = tf.train.NewCheckpointReader(checkpoint_path) print('reder:\n', reader) # Verifies that the tensors exist. print('is exist v0?', reader.has_tensor("v0")) print('is exist v1?', reader.has_tensor("v1")) # Verifies that debug string contains the right strings. debug_string = reader.debug_string() print('\n All Variables: \n', debug_string) # Verifies get_variable_to_shape_map() returns the correct information. var_map = reader.get_variable_to_shape_map() print('\n All Variables information :\n', var_map) # Verifies get_tensor() returns the tensor value. v0_tensor = reader.get_tensor("v0") v1_tensor = reader.get_tensor("v1") print('\n returns the v0 tensor value:\n', v0_tensor) print('\n returns the v1 tensor value:\n', v1_tensor) `