Having read the docs, I saved a model in TensorFlow
, here is my demo code:
# Create some variables.
v1 = tf.Variable(..., name="v1")
v2 = tf.Variable(..., name="v2")
...
# Add an op to initialize the variables.
init_op = tf.global_variables_initializer()
# Add ops to save and restore all the variables.
saver = tf.train.Saver()
# Later, launch the model, initialize the variables, do some work, save the
# variables to disk.
with tf.Session() as sess:
sess.run(init_op)
# Do some work with the model.
..
# Save the variables to disk.
save_path = saver.save(sess, "/tmp/model.ckpt")
print("Model saved in file: %s" % save_path)
but after that, I found there are 3 files
model.ckpt.data-00000-of-00001
model.ckpt.index
model.ckpt.meta
And I can't restore the model by restore the model.ckpt
file, since there is no such file. Here is my code
with tf.Session() as sess:
# Restore variables from disk.
saver.restore(sess, "/tmp/model.ckpt")
So, why there are 3 files?
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