Develop faster deep learning frameworks with a library that combines primitives and a single API to develop for CPUs, GPUs, or both.
2025.0 (latest)2024.22024.12024.02023.22023.12023.0 View MoreSee Less A newer version of this document is available. Customers shouldclick hereto go to the newest version. Intel® oneAPI Deep Neural Network Library (oneDNN) is an open-source performance library for deep learning application...
IBM Z Deep Neural Network Library (zDNN) provides a set of APIs that provide the software enablement technology for deep learning operations that take advantage of the on-chip IBM Z Integrated Accelerator for AI. zDNN also includes the IBM Z Artificial Intelligence Optimization Library and the ...
Deep Neural Network Library (DNNL) is an open-source performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel Architecture Processors and Intel Processor Graphics. DNNL is intended for deep learning applications and framework ...
第一期我们分享了开发者将oneAPI套件应用于将高斯消元算法并行化的实验场景,并分享了自己的使用体验与结果分析。详情戳这里:oneAPI实践分享之一|高斯消元算法并行化 第二期我们分享了开发者介绍oneAPI工具套件在生物序列聚类应用开发的卓越表现,并结合个人的使用经验,为其他新人开发者提出了宝贵的建议。详情戳这里:oneAPI...
This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL).oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning appl...
inputSeriesNetwork(Deep Learning Toolbox)orDAGNetwork(Deep Learning Toolbox)object. The code generator takes advantage of NVIDIA®CUDA®deep neural network library (cuDNN) for NVIDIA GPUs. cuDNN is a GPU-accelerated library of primitives for deep neural networks. The generated code can be ...
Download cuDNN Library Download cuDNN Frontend View Documentation Subscribe to NVIDIA cuDNN Updates Get notified of new releases, bug fixes, critical security updates, and more. First name* Last name* Email* Location* Select... Send me the latest developer news, announcements, and more from NVI...
NVIDIA Optimized Frameworks Deep learning frameworks offer building blocks for designing, training, and validating deep neural networks through a high-level programming interface. cuDNN Developer Survey Help improve cuDNN by responding to a few questions regarding your development environment and use cases...
library(timeROC) res <- timeROC(T = testData$time, delta = testData$status, marker = testData$risk, cause = 1, weighting = "marginal", times = c(1 * 365, 2 * 365), ROC = TRUE, iid = TRUE) res$AUC_1 ## t=365 t=730 ...