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

Question

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)

Answer 1

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.

Answer 2

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.