codedump.py

import argparse
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data

def train():
  mnist = input_data.read_data_sets("/tmp/data",
                                    one_hot=True,
                                    fake_data=False)
  sess = tf.InteractiveSession()

  with tf.name_scope('input'):
    x = tf.placeholder(tf.float32, [None, 784], name='x-input')
    tf.image_summary('input', x, 10)


train()