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The Vivante VIP8000 consists of a highly multi-threaded Parallel Processing Unit, Neural Network Unit and Universal Storage Cache Unit. VIP8000 can directly import neural networks generated by popular deep learning frameworks, such as Caffe and TensorFlow and neural networks can be integrated to other computer vision functions using the OpenVX framework. It supports all current popular neural network models (including AlexNet, GoogleNet, ResNet, VGG, Faster-RCNN, Yolo, SSD, FCN, and SegNet) and layers (including convolution and deconvolution, dilation, FC, pooling and unpooling, various normalization layers and activation functions, tensor reshaping, elementwise operation, RNN and LSTM features) and is designed to facilitate adoption of new neural networks and new types of layers. The Neural Network Unit supports both fixed-point 8-bit precision and floating-point 16-bit precision, and supports mixed-mode applications to achieve the best computational efficiency and accuracy.

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