codeRhythm

#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

#!/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

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 (GPU acceleration)

These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.

Requirements

OS X 10.10 (Yosemite) or newer