These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.
codeRhythm
codeRhythm
/ kthread_test.c
Last active
December 13, 2018 02:43
— forked from khajavi/kthread_test.c
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #include <linux/module.h> | |
| #include <linux/init.h> | |
| #include <linux/kthread.h> | |
| #include <linux/delay.h> | |
| struct task_struct* ts; | |
| static int thread_func(void) | |
| { | |
| while (1) |
codeRhythm
/ cuda_installation_on_ubuntu_18.04
Created
September 8, 2018 16:07
— forked from Mahedi-61/cuda_11.8_installation_on_Ubuntu_22.04
cuda 9.0 complete installation procedure for ubuntu 18.04 LTS
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #!/bin/bash | |
| ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04 | |
| ### steps #### | |
| # verify the system has a cuda-capable gpu | |
| # download and install the nvidia cuda toolkit and cudnn | |
| # setup environmental variables | |
| # verify the installation | |
| ### |
codeRhythm
/ java
Created
August 24, 2018 15:31
— forked from Macrow/java
Android studio 统一替换JCenter为国内阿里云maven
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| 摘要: jcenter替换为国内阿里云maven地址 | |
| 在你的USER_HOME/.gradle/目录下，新建一个文件init.gradle | |
| 把这一段内容拷贝进去 |
codeRhythm
/ Build tensorflow on OSX with NVIDIA CUDA support.md
Last active
February 1, 2018 12:32
— forked from ageitgey/Build tensorflow on OSX with NVIDIA CUDA support.md