removed exmple apps code

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

diff --git a/example-apps/PDD/pcb-defect-detection/libs/networks/slim_nets/inception_utils.py b/example-apps/PDD/pcb-defect-detection/libs/networks/slim_nets/inception_utils.py
deleted file mode 100755 (executable)
index 66ee41f..0000000
--- a/example-apps/PDD/pcb-defect-detection/libs/networks/slim_nets/inception_utils.py
+++ /dev/null
@@ -1,71 +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.
-# ==============================================================================
-"""Contains common code shared by all inception models.
-
-Usage of arg scope:
-  with slim.arg_scope(inception_arg_scope()):
-    logits, end_points = inception.inception_v3(images, num_classes,
-                                                is_training=is_training)
-
-"""
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import tensorflow as tf
-
-slim = tf.contrib.slim
-
-
-def inception_arg_scope(weight_decay=0.00004,
-                        use_batch_norm=True,
-                        batch_norm_decay=0.9997,
-                        batch_norm_epsilon=0.001):
-  """Defines the default arg scope for inception models.
-
-  Args:
-    weight_decay: The weight decay to use for regularizing the model.
-    use_batch_norm: "If `True`, batch_norm is applied after each convolution.
-    batch_norm_decay: Decay for batch norm moving average.
-    batch_norm_epsilon: Small float added to variance to avoid dividing by zero
-      in batch norm.
-
-  Returns:
-    An `arg_scope` to use for the inception models.
-  """
-  batch_norm_params = {
-      # Decay for the moving averages.
-      'decay': batch_norm_decay,
-      # epsilon to prevent 0s in variance.
-      'epsilon': batch_norm_epsilon,
-      # collection containing update_ops.
-      'updates_collections': tf.GraphKeys.UPDATE_OPS,
-  }
-  if use_batch_norm:
-    normalizer_fn = slim.batch_norm
-    normalizer_params = batch_norm_params
-  else:
-    normalizer_fn = None
-    normalizer_params = {}
-  # Set weight_decay for weights in Conv and FC layers.
-  with slim.arg_scope([slim.conv2d, slim.fully_connected],
-                      weights_regularizer=slim.l2_regularizer(weight_decay)):
-    with slim.arg_scope(
-        [slim.conv2d],
-        weights_initializer=slim.variance_scaling_initializer(),
-        activation_fn=tf.nn.relu,
-        normalizer_fn=normalizer_fn,
-        normalizer_params=normalizer_params) as sc:
-      return sc