In Tensorflow, get the names of all the Tensors in

Question

I am creating neural nets with Tensorflow and skflow; for some reason I want to get the values of some inner tensors for a given input, so I am using myClassifier.get_layer_value(input, "tensorName"), myClassifier being a skflow.estimators.TensorFlowEstimator.

However, I find it difficult to find the correct syntax of the tensor name, even knowing its name (and I'm getting confused between operation and tensors), so I'm using tensorboard to plot the graph and look for the name.

Is there a way to enumerate all the tensors in a graph without using tensorboard?

Answer 1

There is a way to do it slightly faster than in Yaroslav's answer by using get_operations. Here is a quick example:

import tensorflow as tf
a = tf.constant(1.3, name='const_A')
b = tf.Variable(3.1, name='b')
c = tf.add(a, b, name='addition')
d = tf.multiply(c, a, name='multiply')

for op in tf.get_default_graph().get_operations():
    print str(op.name)