CODEWITHSUNDEEP
pythontensorflow
Mohit Agarwal
Mohit Agarwal

Reputation: 111

While debugging, how to print all variables (which is in list format) who are trainable in Tensorflow?

While debugging, how to print all variables (which is in list format) who are trainable in Tensorflow?

For instance,

    tvars = tf.trainable_variables()

I want to check all the variables in tvars (which is list type).

I've already tried the below code which returns error,

    myvars = session.run([tvars])
    print(myvars)

Upvotes: 8

Views: 11446

Answers (2)

rocksyne
rocksyne

Reputation: 1372

To print the complete list of all all variables or nodes of a tensor-flow graph, you may try this:

[n.name for n in tf.get_default_graph().as_graph_def().node]

I copied this from here.

Upvotes: 5

mrry
mrry

Reputation: 126154

Since tf.trainable_variables() returns a list of tf.Variable objects, you should be able to pass its result straight to Session.run():

tvars = tf.trainable_variables()
tvars_vals = sess.run(tvars)

for var, val in zip(tvars, tvars_vals):
    print(var.name, val)  # Prints the name of the variable alongside its value.

Upvotes: 15

Related Questions