.. frameworks/validation-testing: 


Validation and testing
######################

We validated performance for the following TensorFlow* and MXNet* workloads:


TensorFlow 
==========

.. csv-table::
   :header: "TensorFlow Workload", "Type"
   :widths: 27, 53
   :escape: ~

   Resnet50 v1, Image recognition
   Resnet50 v2, Image recognition
   Inception V3, Image recognition
   Inception V4, Image recognition
   Inception-ResNetv2, Image recognition
   MobileNet v1, Image recognition
   MobileNet v2, Image recognition
   VGG16, Image recognition
   SSD-VGG16, Object detection
   SSD-MobileNetv1, Object detection
   R-FCN, Object detection
   Faster RCNN, Object detection
   Yolo v2, Object detection
   Transformer-LT, Language translation
   Wide & Deep, Recommender system
   NCF, Recommender system
   U-Net, Image segmentation
   DCGAN, Generative adversarial network
   DRAW, Image generation
   A3C, Reinforcement learning

MXNet
=====

.. csv-table::
   :header: "MXNet Workload", "Type"
   :widths: 27, 53
   :escape: ~

   Resnet50 v1, Image recognition
   Resnet50 v2, Image recognition
   DenseNet-121, Image recognition
   InceptionV3, Image recognition
   InceptionV4, Image recognition
   Inception-ResNetv2, Image recognition
   MobileNet v1, Image recognition
   SqueezeNet v1 and v1.1, Image recognition
   VGG16, Image recognition
   Faster RCNN, Object detection
   SSD-VGG16, Object detection
   GNMT, Language translation
   Transformer-LT, Language translation
   Wide & Deep, Recommender system
   WaveNet, Speech generation
   DeepSpeech2, Speech recognition
   DCGAN, Generative adversarial network
   A3C, Reinforcement learning

ONNX
=====

Additionally, we validated the following workloads are functional through nGraph ONNX importer: 


.. csv-table::
   :header: "ONNX Workload", "Type"
   :widths: 27, 53
   :escape: ~

   ResNet-50, Image recognition
   DenseNet-121, Image recognition
   Inception-v1, Image recognition
   Inception-v2, Image recognition
   Shufflenet, Image recognition
   SqueezeNet, Image recognition
   VGG-19, Image recognition
   ZFNet-512, Image recognition
   MNIST, Image recognition
   Emotion-FERPlus, Image recognition
   BVLC AlexNet, Image recognition
   BVLC GoogleNet, Image recognition
   BVLC CaffeNet, Image recognition
   BVLC R-CNN ILSVRC13, Object detection 





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.. _Optimization Notice: https://software.intel.com/en-us/articles/optimization-notice


.. Notice revision #20110804: Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

















