List of tensor names in graph in Tensorflow

The paper is not accurately reflecting the model. If you download the source from arxiv it has an accurate model description as model.txt, and the names in there correlate strongly with the names in the released model.

To answer your first question, sess.graph.get_operations() gives you a list of operations. For an op, op.name gives you the name and op.values() gives you a list of tensors it produces (in the inception-v3 model, all tensor names are the op name with a ":0" appended to it, so pool_3:0 is the tensor produced by the final pooling op.)

The above answers are correct. I came across an easy to understand / simple code for the above task. So sharing it here :-

import tensorflow as tf

def printTensors(pb_file):

    # read pb into graph_def
    with tf.gfile.GFile(pb_file, "rb") as f:
        graph_def = tf.GraphDef()
        graph_def.ParseFromString(f.read())

    # import graph_def
    with tf.Graph().as_default() as graph:
        tf.import_graph_def(graph_def)

    # print operations
    for op in graph.get_operations():
        print(op.name)


printTensors("path-to-my-pbfile.pb")