Reading data in TensorFlow https://www.tensorflow.org/how_tos/reading_data/

tensorflow_list_filenames.py

import tensorflow as tf
import sys
import os

def create_graph(pattern):
    print 'pattern:', pattern
    graph = tf.Graph()
    with graph.as_default():
        # Initializer
        tf.variables_initializer(tf.global_variables(), name='init')

        # Graph
        filenames = tf.train.match_filenames_once(pattern, name='list_files')
    return graph

if __name__ == '__main__':
    if len(sys.argv) < 2:
        print 'Usage: python', sys.argv[0], 'training_dir/'
        sys.exit(1)

    data_dir = sys.argv[1]
    file_names = []
    for subdir, dirs, files in os.walk(data_dir):
        for file in files:
            file_name = os.path.join(subdir, file)
            file_names.append(file_name)
    print 'from python:', file_names

    g = create_graph(os.path.join(data_dir, '*.png'))
    session = tf.Session(graph=g)
    session.run('init')
    print 'from tensorflow:', session.run('list_files:0')