title: How to restore checkpoint in TensorFlow inside ipython or anaconda
body: <p>I use tensorflow 0.9.<br />
  I want to save my model and then restore it.<br />
  I simply add <code>tf.train.Saver()</code> to save and restore my training variables.</p>
  <p>This is my code:</p>
  <pre class="lang-py prettyprint-override"><code>import tensorflow as tf
  import input_data
  import os
  
  checkpoint_dir='./ckpt_dir/'
  
  mnist = input_data.read_data_sets(&quot;MNIST_data&quot;, one_hot = True)
  
  x = tf.placeholder(tf.float32, shape = [None , 784])
  y_ = tf.placeholder(tf.float32, [None, 10])
  
  sess = tf.InteractiveSession()
  
  def load_model(sess, saver, checkpoint_dir ):
  
  ckpt = tf.train.get_checkpoint_state(checkpoint_dir)
  if ckpt and ckpt.model_checkpoint_path:
  print(ckpt.model_checkpoint_path)
  
  saver.restore(sess, ckpt.model_checkpoint_path)
  
  else:
  if not os.path.exists(checkpoint_dir):
  os.makedirs(checkpoint_dir)
  sess.run(init)
  return
  
  def weight_variable(shape):
  initial = tf.truncated_normal(shape, stddev = 0.1)
  return tf.Variable(initial)
  
  def bias_variable(shape):
  initial = tf.constant(0.1, shape= shape)
  return tf.Variable(initial)
  
  def conv2d(x, W):
  return tf.nn.conv2d(x, W, strides = [1, 1, 1, 1], padding = &quot;SAME&quot;)
  
  def max_pool_2x2(x):
  return tf.nn.max_pool(x, ksize = [1, 2, 2, 1], strides = [1, 2, 2, 1],
  padding = &quot;SAME&quot;)
  
  W_conv1 = weight_variable([5, 5, 1, 32])
  b_conv1 = bias_variable([32])
  
  x_image = tf.reshape(x, [-1, 28, 28, 1])
  
  #
  h_conv1 = tf.nn.relu(conv2d(x_image, W_conv1))
  h_pool1 = max_pool_2x2(h_conv1)
  
  #
  W_conv2 = weight_variable([5, 5, 32, 64])
  b_conv2 = bias_variable([64])
  
  h_conv2 = tf.nn.relu(conv2d(h_pool1, W_conv2))
  h_pool2 = max_pool_2x2(h_conv2)
  
  W_fc1 = weight_variable([7764, 1024])
  b_fc1 = bias_variable([1024])
  
  h_pool2_flat = tf.reshape(h_pool2, [-1, 7764])
  h_fc1 = tf.nn.relu(tf.matmul(h_pool2_flat, W_fc1) + b_fc1)
  
  #
  keep_prob = tf.placeholder(tf.float32)
  h_fc1_drop = tf.nn.dropout(h_fc1, keep_prob)
  
  #
  W_fc2 = weight_variable([1024, 10])
  b_fc2 = bias_variable([10])
  
  y_conv = tf.nn.softmax(tf.matmul(h_fc1_drop,W_fc2) +b_fc2)
  
  #
  cross_entropy = tf.reduce_mean(-tf.reduce_sum(y_ * tf.log(y_conv), reduction_indices = [1]))
  train_step = tf.train.AdamOptimizer(1e-4).minimize(cross_entropy)
  
  correct_prediction = tf.equal(tf.argmax(y_conv, 1), tf.argmax(y_, 1))
  accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
  
  init = tf.initialize_all_variables()
  
  saver = tf.train.Saver()
  
  load_model(sess, saver, checkpoint_dir)
  
  for i in range(1):
  batch = mnist.train.next_batch(50)
  if i%10 == 0:
  train_accuracy = accuracy.eval(feed_dict = {x : batch[0] , y_ : batch[1], keep_prob : 1.0})
  print(&quot;step %d, training accuracy %g&quot;%(i, train_accuracy))
  
  train_step.run(feed_dict = {x : batch[0], y_ : batch[1], keep_prob : 0.5})
  print(&quot;test accuracy %g&quot;%accuracy.eval(feed_dict={
  x: mnist.test.images, y_: mnist.test.labels, keep_prob: 1.0}))
  
  tf.scalar_summary(&quot;accuracy&quot;, accuracy)
  
  saver.save(sess,checkpoint_dir+'model.ckpt')
  </code></pre>
  <hr />
  <p>When I restore the checkpoint:</p>
  <pre class="lang-py prettyprint-override"><code>saver.restore(sess, ckpt.model_checkpoint_path)
  </code></pre>
  <p>TensorFlow throws this error:</p>
  <pre><code>Traceback (most recent call last):
  .
  .
  .
  NotFoundError: Tensor name &quot;global_step_7&quot; not found in checkpoint files ./ckpt_dir/model.ckpt-0
  [[Node: save_18/restore_slice_438 = RestoreSlicedt=DT_INT32, preferred_shard=-1, _device=&quot;/job:localhost/replica:0/task:0/cpu:0&quot;]]
  Caused by op 'save_18/restore_slice_438', defined at:
  File &quot;/home/m/anaconda3/lib/python3.5/site-packages/spyderlib/widgets/externalshell/start_ipython_kernel.py&quot;, line 205, in
  ipythonkernel.start()
  .
  .
  .
  File &quot;/home/m/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py&quot;, line 1224, in __init
  raise TypeError(&quot;Control input must be an Operation, &quot;
  </code></pre>
  <hr />
  <h3>EDIT:</h3>
  <p>I use anaconda. The first time I run this code in spyder or ipython with &quot;run filename.py&quot;, it saves the model in the checkpoint, but when I run this code again, it throws the error.</p>
  <p>But when I close spyder or ipython, open it again and run the code it restores the checkpoint correctly.</p>
  <p>Also when I run in terminal &quot;python filename.py&quot; it always runs and doesn't throw any error.</p>