1 files changed, 0 insertions, 58 deletions
diff --git a/tensorflow/python/keras/applications/inception_v3_test.py b/tensorflow/python/keras/applications/inception_v3_test.py
deleted file mode 100644
index a3fcdd5564..0000000000
--- a/tensorflow/python/keras/applications/inception_v3_test.py
+++ /dev/null
@@ -1,58 +0,0 @@
-# Copyright 2016 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 Inception V3 application."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import numpy as np
-
-from tensorflow.python import keras
-from tensorflow.python.platform import test
-
-
-class InceptionV3Test(test.TestCase):
-
-  def test_with_top(self):
-    model = keras.applications.InceptionV3(weights=None)
-    self.assertEqual(model.output_shape, (None, 1000))
-
-  def test_no_top(self):
-    model = keras.applications.InceptionV3(weights=None, include_top=False)
-    self.assertEqual(model.output_shape, (None, None, None, 2048))
-
-  def test_with_pooling(self):
-    model = keras.applications.InceptionV3(weights=None,
-                                           include_top=False,
-                                           pooling='avg')
-    self.assertEqual(model.output_shape, (None, 2048))
-
-  def test_weight_loading(self):
-    with self.assertRaises(ValueError):
-      keras.applications.InceptionV3(weights='unknown',
-                                     include_top=False)
-    with self.assertRaises(ValueError):
-      keras.applications.InceptionV3(weights='imagenet',
-                                     classes=2000)
-
-  def test_preprocess_input(self):
-    x = np.random.uniform(0, 255, (2, 300, 200, 3))
-    out1 = keras.applications.inception_v3.preprocess_input(x)
-    self.assertAllClose(np.mean(out1), 0., atol=0.1)
-
-
-if __name__ == '__main__':
-  test.main()