您当前的位置:首页 > IT编程 > gnn
| C语言 | Java | VB | VC | python | Android | TensorFlow | C++ | oracle | 学术与代码 | cnn卷积神经网络 | gnn | 图像修复 | Keras | 数据集 | Neo4j | 自然语言处理 | 深度学习 | 医学CAD | 医学影像 | 超参数 | pointnet | pytorch | 异常检测 | Transformers | 情感分类 | 知识图谱 |

自学教程:Download Installers for Linux Ubuntu 17.04 x86_64

51自学网 2021-01-01 16:10:32
  gnn
这篇教程Download Installers for Linux Ubuntu 17.04 x86_64写得很实用,希望能帮到您。

Download Installers for Linux Ubuntu 17.04 x86_64


The base installer is available for download below.
There are 4 patches available. These patches require the base installer to be installed first.
 Base Installer
Installation Instructions:
  1. Run `sudo sh cuda_9.0.176_384.81_linux.run`
  2. Follow the command-line prompts
 Patch 1 (Released Jan 25, 2018)
cuBLAS Patch Update: This update to CUDA 9.0 includes new GEMM kernels optimized for the Volta architecture and improved heuristics to select GEMM kernels for given input sizes.
 Patch 2 (Released Mar 5, 2018)
cuBLAS Patch Update: This update to CUDA 9 includes GEMM heuristics improvements to selects the most optimized algorithms for input sizes commonly used in Deep Learning RNNs. The update also includes other bug-fixes and performance enhancements.
 Patch 3 (Released Jun 7, 2018)
cuBLAS Patch Update: This update to cuBLAS addresses issues with Convolutional Seq2Seq and RNN inference performance.
 Patch 4 (Released Aug 6, 2018)
cuBLAS Patch Update: This update to cuBLAS includes optimized implementations of GEMV operations for mixed precision input and output types and important fixes to address performance issues.

The CUDA Toolkit contains Open-Source Software. The source code can be found here.
The checksums for the installer and patches can be found in Installer Checksums.
For further information, see the Installation Guide for Linux and the CUDA Quick Start Guide.
从零开始搭建深度学习服务器: 1080TI四卡并行(Ubuntu16.04+CUDA9.2+cuDNN7.1+TensorFlow+Keras)
GAN网络论文与代码大全
万事OK自学网:51自学网_软件自学网_CAD自学网自学excel、自学PS、自学CAD、自学C语言、自学css3实例,是一个通过网络自主学习工作技能的自学平台,网友喜欢的软件自学网站。