1 files changed, 0 insertions, 63 deletions
diff --git a/tensorflow/contrib/kfac/examples/tests/mlp_test.py b/tensorflow/contrib/kfac/examples/tests/mlp_test.py
deleted file mode 100644
index 22da6c29f1..0000000000
--- a/tensorflow/contrib/kfac/examples/tests/mlp_test.py
+++ /dev/null
@@ -1,63 +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 mlp.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 mlp
-
-
-class MlpTest(tf.test.TestCase):
-
-  def testFcLayer(self):
-    with tf.Graph().as_default():
-      pre, act, (w, b) = mlp.fc_layer(
-          layer_id=1, inputs=tf.zeros([5, 3]), output_size=10)
-      self.assertShapeEqual(np.zeros([5, 10]), pre)
-      self.assertShapeEqual(np.zeros([5, 10]), act)
-      self.assertShapeEqual(np.zeros([3, 10]), tf.convert_to_tensor(w))
-      self.assertShapeEqual(np.zeros([10]), tf.convert_to_tensor(b))
-      self.assertIsInstance(w, tf.Variable)
-      self.assertIsInstance(b, tf.Variable)
-      self.assertIn("fc_1/", w.op.name)
-      self.assertIn("fc_1/", b.op.name)
-
-  def testTrainMnist(self):
-    with tf.Graph().as_default():
-      # Ensure model training doesn't crash.
-      #
-      # Ideally, we should check that accuracy increases as the model converges,
-      # but that takes a non-trivial amount of compute.
-      mlp.train_mnist(data_dir=None, num_epochs=1, use_fake_data=True)
-
-  def testTrainMnistMultitower(self):
-    with tf.Graph().as_default():
-      # Ensure model training doesn't crash.
-      mlp.train_mnist_multitower(
-          data_dir=None, num_epochs=1, num_towers=2, use_fake_data=True)
-
-  def testTrainMnistEstimator(self):
-    with tf.Graph().as_default():
-      # Ensure model training doesn't crash.
-      mlp.train_mnist_estimator(data_dir=None, num_epochs=1, use_fake_data=True)
-
-
-if __name__ == "__main__":
-  tf.test.main()