removed exmple apps code

[ealt-edge.git] / example-apps / PDD / pcb-defect-detection / libs / networks / slim_nets / nets_factory_test.py

diff --git a/example-apps/PDD/pcb-defect-detection/libs/networks/slim_nets/nets_factory_test.py b/example-apps/PDD/pcb-defect-detection/libs/networks/slim_nets/nets_factory_test.py
deleted file mode 100755 (executable)
index b4ab1f8..0000000
--- a/example-apps/PDD/pcb-defect-detection/libs/networks/slim_nets/nets_factory_test.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# Copyright 2016 Google Inc. 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 slim.inception."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import tensorflow as tf
-
-from nets import nets_factory
-
-slim = tf.contrib.slim
-
-
-class NetworksTest(tf.test.TestCase):
-
-  def testGetNetworkFn(self):
-    batch_size = 5
-    num_classes = 1000
-    for net in nets_factory.networks_map:
-      with self.test_session():
-        net_fn = nets_factory.get_network_fn(net, num_classes)
-        # Most networks use 224 as their default_image_size
-        image_size = getattr(net_fn, 'default_image_size', 224)
-        inputs = tf.random_uniform((batch_size, image_size, image_size, 3))
-        logits, end_points = net_fn(inputs)
-        self.assertTrue(isinstance(logits, tf.Tensor))
-        self.assertTrue(isinstance(end_points, dict))
-        self.assertEqual(logits.get_shape().as_list()[0], batch_size)
-        self.assertEqual(logits.get_shape().as_list()[-1], num_classes)
-
-  def testGetNetworkFnArgScope(self):
-    batch_size = 5
-    num_classes = 10
-    net = 'cifarnet'
-    with self.test_session(use_gpu=True):
-      net_fn = nets_factory.get_network_fn(net, num_classes)
-      image_size = getattr(net_fn, 'default_image_size', 224)
-      with slim.arg_scope([slim.model_variable, slim.variable],
-                          device='/CPU:0'):
-        inputs = tf.random_uniform((batch_size, image_size, image_size, 3))
-        net_fn(inputs)
-      weights = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, 'CifarNet/conv1')[0]
-      self.assertDeviceEqual('/CPU:0', weights.device)
-
-if __name__ == '__main__':
-  tf.test.main()