Glow generative flowwith invertible 1x1 convolutions
NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. It provides highly tuned implementations of routines arising frequently in DNN applications. Deep learning libraries: CUDA, cuDNN, TensorRT. 4. Environment variables. Windows environment variables which automatically created when you install SDKs. These variables will be convinient when you configure your project. If you see print out message like Using gpu device ***** (CNMeM is disabled, cuDNN ****), it means the GPU is now being used. For other system (or if the guide above does not work), you may follow the instruction from Theano and Nvidia. GPGPU stands for General-purpose computing on graphics processing units. In Linux, there are currently two major GPGPU frameworks: OpenCL and CUDA. Contents.