1 files changed, 0 insertions, 87 deletions
diff --git a/tensorflow/contrib/quantize/python/quant_ops_test.py b/tensorflow/contrib/quantize/python/quant_ops_test.py
deleted file mode 100644
index 3884679602..0000000000
--- a/tensorflow/contrib/quantize/python/quant_ops_test.py
+++ /dev/null
@@ -1,87 +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 third_party.tensorflow.contrib.quantize.python.quant_ops."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-from tensorflow.contrib.quantize.python import quant_ops
-from tensorflow.python.client import session
-from tensorflow.python.framework import dtypes
-from tensorflow.python.framework import ops
-from tensorflow.python.ops import array_ops
-from tensorflow.python.ops import variables
-from tensorflow.python.platform import googletest
-
-_MIN_MAX_VARS = 'min_max_vars'
-
-
-class QuantOpsTest(googletest.TestCase):
-
-  def testLastValueQuantizeTrainingAssign(self):
-    g = ops.Graph()
-    with session.Session(graph=g) as sess:
-      x = array_ops.placeholder(dtypes.float32, shape=[2])
-      y = quant_ops.LastValueQuantize(
-          x,
-          init_min=0.0,
-          init_max=0.0,
-          is_training=True,
-          vars_collection=_MIN_MAX_VARS)
-
-      # Run the step.
-      sess.run(variables.global_variables_initializer())
-      sess.run(y, feed_dict={x: [-1.0, 1.0]})
-      # Now check that the min_max_vars were, in fact, updated.
-      min_value, max_value = self._GetMinMaxValues(sess)
-      self.assertEqual(min_value, -1.0)
-      self.assertEqual(max_value, 1.0)
-
-  def testMovingAvgQuantizeTrainingAssign(self):
-    g = ops.Graph()
-    with session.Session(graph=g) as sess:
-      x = array_ops.placeholder(dtypes.float32, shape=[2])
-      y = quant_ops.MovingAvgQuantize(
-          x,
-          init_min=0.0,
-          init_max=0.0,
-          is_training=True,
-          vars_collection=_MIN_MAX_VARS)
-
-      # Run the step.
-      sess.run(variables.global_variables_initializer())
-      # Do two runs to avoid zero debias.
-      sess.run(y, feed_dict={x: [-1.0, 1.0]})
-      sess.run(y, feed_dict={x: [0.0, 0.0]})
-      # Now check that the min_max_vars were, in fact, updated.
-      min_value, max_value = self._GetMinMaxValues(sess)
-      self.assertGreater(min_value, -1.0)
-      self.assertLess(min_value, 0.0)
-      self.assertGreater(max_value, 0.0)
-      self.assertLess(max_value, 1.0)
-
-  def _GetMinMaxValues(self, sess):
-    min_max_vars = ops.get_collection(_MIN_MAX_VARS)
-    self.assertEqual(len(min_max_vars), 2)
-    min_idx = 0 if 'min' in min_max_vars[0].name else 1
-    max_idx = (min_idx + 1) % 2
-    min_var, max_var = min_max_vars[min_idx], min_max_vars[max_idx]
-    min_max_values = sess.run([min_var, max_var])
-    return min_max_values[0], min_max_values[1]
-
-
-if __name__ == '__main__':
-  googletest.main()