1 files changed, 0 insertions, 72 deletions
diff --git a/tensorflow/contrib/kfac/examples/tests/mnist_test.py b/tensorflow/contrib/kfac/examples/tests/mnist_test.py
deleted file mode 100644
index 92f8462357..0000000000
--- a/tensorflow/contrib/kfac/examples/tests/mnist_test.py
+++ /dev/null
@@ -1,72 +0,0 @@
-# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ==============================================================================
-"""Tests for mnist.py."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import numpy as np
-import tensorflow as tf
-
-from tensorflow.contrib.kfac.examples import mnist
-
-
-class MnistTest(tf.test.TestCase):
-
-  def testValues(self):
-    """Ensure values are in their expected range."""
-    with tf.Graph().as_default():
-      examples, labels = mnist.load_mnist(
-          data_dir=None, num_epochs=1, batch_size=64, use_fake_data=True)
-
-      with self.test_session() as sess:
-        examples_, labels_ = sess.run([examples, labels])
-        self.assertTrue(np.all((0 <= examples_) & (examples_ < 1)))
-        self.assertTrue(np.all((0 <= labels_) & (labels_ < 10)))
-
-  def testFlattenedShapes(self):
-    """Ensure images are flattened into their appropriate shape."""
-    with tf.Graph().as_default():
-      examples, labels = mnist.load_mnist(
-          data_dir=None,
-          num_epochs=1,
-          batch_size=64,
-          flatten_images=True,
-          use_fake_data=True)
-
-      with self.test_session() as sess:
-        examples_, labels_ = sess.run([examples, labels])
-        self.assertEqual(examples_.shape, (64, 784))
-        self.assertEqual(labels_.shape, (64,))
-
-  def testNotFlattenedShapes(self):
-    """Ensure non-flattened images are their appropriate shape."""
-    with tf.Graph().as_default():
-      examples, labels = mnist.load_mnist(
-          data_dir=None,
-          num_epochs=1,
-          batch_size=64,
-          flatten_images=False,
-          use_fake_data=True)
-
-      with self.test_session() as sess:
-        examples_, labels_ = sess.run([examples, labels])
-        self.assertEqual(examples_.shape, (64, 28, 28, 1))
-        self.assertEqual(labels_.shape, (64,))
-
-
-if __name__ == '__main__':
-  tf.test.main()