COMPMID-1839: Add script from extracting tf frozen models.

Change-Id: I9a61b9005ea829cd9ecae5bebf8985fe72e28b8e
Reviewed-on: https://review.mlplatform.org/448
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>

15 files changed, 31 insertions, 0 deletions

diff --git a/examples/graph_alexnet.cpp b/examples/graph_alexnet.cpp
index cfa8e94d10..989e23266f 100644
--- a/examples/graph_alexnet.cpp
+++ b/examples/graph_alexnet.cpp
@@ -176,6 +176,8 @@ private:
  *      "ImageNet Classification with Deep Convolutional Neural Networks"
  *      Alex Krizhevsky and Sutskever, Ilya and Hinton, Geoffrey E
  *
+ * Provenance: https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_googlenet.cpp b/examples/graph_googlenet.cpp
index a55c884ca2..0e9ac20996 100644
--- a/examples/graph_googlenet.cpp
+++ b/examples/graph_googlenet.cpp
@@ -203,6 +203,8 @@ private:
  *      "Going deeper with convolutions"
  *      Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
  *
+ * Provenance: https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_inception_resnet_v2.cpp b/examples/graph_inception_resnet_v2.cpp
index 4c74041eb3..8e799783f2 100644
--- a/examples/graph_inception_resnet_v2.cpp
+++ b/examples/graph_inception_resnet_v2.cpp
@@ -787,6 +787,8 @@ private:
  *      "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning"
  *      Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex Alemi
  *
+ * Provenance: download.tensorflow.org/models/inception_resnet_v2_2016_08_30.tar.gz
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_inception_v3.cpp b/examples/graph_inception_v3.cpp
index 86b223e9e5..517e4920cb 100644
--- a/examples/graph_inception_v3.cpp
+++ b/examples/graph_inception_v3.cpp
@@ -851,6 +851,8 @@ private:
  *      "Rethinking the Inception Architecture for Computer Vision"
  *      Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
  *
+ * Provenance: download.tensorflow.org/models/inception_v3_2016_08_28.tar.gz
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_inception_v4.cpp b/examples/graph_inception_v4.cpp
index 3bedc4ccea..3de61dac7d 100644
--- a/examples/graph_inception_v4.cpp
+++ b/examples/graph_inception_v4.cpp
@@ -725,6 +725,8 @@ private:
  *      "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning"
  *      Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex Alemi
  *
+ * Provenance: download.tensorflow.org/models/inception_v4_2016_09_09.tar.gz
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_mobilenet.cpp b/examples/graph_mobilenet.cpp
index 8d5e7f6dc4..10bb890372 100644
--- a/examples/graph_mobilenet.cpp
+++ b/examples/graph_mobilenet.cpp
@@ -345,6 +345,9 @@ private:
  *      "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
  *      Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam
  *
+ * Provenance: download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224.tgz
+ *             download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.75_160.tgz
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_mobilenet_v2.cpp b/examples/graph_mobilenet_v2.cpp
index 9fe61fb4c1..429a3d2cc0 100644
--- a/examples/graph_mobilenet_v2.cpp
+++ b/examples/graph_mobilenet_v2.cpp
@@ -451,6 +451,8 @@ private:
  *      "MobileNetV2: Inverted Residuals and Linear Bottlenecks"
  *      Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen
  *
+ * Provenance: https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_1.0_224.tgz
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_resnet50.cpp b/examples/graph_resnet50.cpp
index 0a96840e3d..25e0bd47c3 100644
--- a/examples/graph_resnet50.cpp
+++ b/examples/graph_resnet50.cpp
@@ -240,6 +240,8 @@ private:
  *      "Deep Residual Learning for Image Recognition"
  *      Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
  *
+ * Provenance: download.tensorflow.org/models/resnet_v1_50_2016_08_28.tar.gz
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_resnet_v2_50.cpp b/examples/graph_resnet_v2_50.cpp
index 24cd68cb21..3b6f8d3fa1 100644
--- a/examples/graph_resnet_v2_50.cpp
+++ b/examples/graph_resnet_v2_50.cpp
@@ -235,6 +235,8 @@ private:
  *      "Identity Mappings in Deep Residual Networks"
  *      Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
  *
+ * Provenance: download.tensorflow.org/models/resnet_v2_50_2017_04_14.tar.gz
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_shufflenet.cpp b/examples/graph_shufflenet.cpp
index 88ee520770..39c2227022 100644
--- a/examples/graph_shufflenet.cpp
+++ b/examples/graph_shufflenet.cpp
@@ -244,6 +244,8 @@ private:
  *      "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"
  *      Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun
  *
+ * Provenance: https://s3.amazonaws.com/download.onnx/models/opset_9/shufflenet.tar.gz
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_squeezenet.cpp b/examples/graph_squeezenet.cpp
index ad5fc21acd..4bc516a363 100644
--- a/examples/graph_squeezenet.cpp
+++ b/examples/graph_squeezenet.cpp
@@ -206,6 +206,8 @@ private:
  *      "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size"
  *      Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer
  *
+ * Provenance: https://github.com/DeepScale/SqueezeNet/blob/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodel
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_squeezenet_v1_1.cpp b/examples/graph_squeezenet_v1_1.cpp
index 95c99c0770..745d089fdb 100644
--- a/examples/graph_squeezenet_v1_1.cpp
+++ b/examples/graph_squeezenet_v1_1.cpp
@@ -206,6 +206,8 @@ private:
  *      "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size"
  *      Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer
  *
+ * Provenance: https://github.com/DeepScale/SqueezeNet/blob/master/SqueezeNet_v1.1/squeezenet_v1.1.caffemodel
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_ssd_mobilenet.cpp b/examples/graph_ssd_mobilenet.cpp
index 676c5e9167..780ee38670 100644
--- a/examples/graph_ssd_mobilenet.cpp
+++ b/examples/graph_ssd_mobilenet.cpp
@@ -365,6 +365,8 @@ private:
  *      SSD: Single Shot MultiBox Detector
  *      Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg
  *
+ * Provenance: https://github.com/chuanqi305/MobileNet-SSD
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_vgg16.cpp b/examples/graph_vgg16.cpp
index 482aab1683..290d1e7e98 100644
--- a/examples/graph_vgg16.cpp
+++ b/examples/graph_vgg16.cpp
@@ -251,6 +251,8 @@ private:
  *      "Very Deep Convolutional Networks for Large-Scale Image Recognition"
  *      Karen Simonyan, Andrew Zisserman
  *
+ * Provenance: www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_16_layers.caffemodel
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments
diff --git a/examples/graph_vgg19.cpp b/examples/graph_vgg19.cpp
index 3b1773519a..298ffa06ef 100644
--- a/examples/graph_vgg19.cpp
+++ b/examples/graph_vgg19.cpp
@@ -262,6 +262,8 @@ private:
  *      "Very Deep Convolutional Networks for Large-Scale Image Recognition"
  *      Karen Simonyan, Andrew Zisserman
  *
+ * Provenance: www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_19_layers.caffemodel
+ *
  * @note To list all the possible arguments execute the binary appended with the --help option
  *
  * @param[in] argc Number of arguments