message: Update resnet.py
  Test with mnist test set. Previously it was testing on the training set.
diff: @@ -190,8 +190,8 @@ def main(unused_args):
  # Calculate accuracy.
  test_input_fn = tf.estimator.inputs.numpy_input_fn(
  - x={X_FEATURE: mnist.train.images},
  - y=mnist.train.labels.astype(np.int32),
  + x={X_FEATURE: mnist.test.images},
  + y=mnist.test.labels.astype(np.int32),
  num_epochs=1,
  shuffle=False)
  scores = classifier.evaluate(input_fn=test_input_fn)
  