In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
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func ip2int(ip net.IP) uint32 { | |
if len(ip) == 16 { | |
return binary.BigEndian.Uint32(ip[12:16]) | |
} | |
return binary.BigEndian.Uint32(ip) | |
} | |
func int2ip(nn uint32) net.IP { | |
ip := make(net.IP, 4) | |
binary.BigEndian.PutUint32(ip, nn) |
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blueprint: | |
name: Appliance has finished | |
description: Do something when an appliance (like a washing machine or dishwasher) | |
has finished as detected by a power sensor. | |
domain: automation | |
input: | |
power_sensor: | |
name: Power Sensor | |
description: Power sensor entity (e.g. from a smart plug device). | |
selector: |
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package main | |
import ( | |
"crypto/tls" | |
"crypto/x509" | |
"flag" | |
"io/ioutil" | |
"log" | |
"net/http" | |
) |
You might want to read this to get an introduction to armel vs armhf.
If the below is too much, you can try Ubuntu-ARMv7-Qemu but note it contains non-free blobs.
First, cross-compile user programs with GCC-ARM toolchain. Then install qemu-arm-static
so that you can run ARM executables directly on linux
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package main | |
import ( | |
"context" | |
"flag" | |
"fmt" | |
"log" | |
"net/http" | |
"os" | |
"os/signal" |
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export const useFocus = () => { | |
const htmlElRef = useRef<HTMLElement>() | |
const setFocus = () => { | |
const currentEl = htmlElRef.current | |
currentEl && currentEl.focus() | |
} | |
return [setFocus, htmlElRef] as const | |
} |
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package main | |
import ( | |
"fmt" | |
"io" | |
"os" | |
) | |
var path = "/Users/novalagung/Documents/temp/test.txt" |
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