#Compilng You need g++ 4.9 to compile this code. Follow these steps to install g++-4.9
After installing run the following command to compile
/usr/bin/g++-4.9 -std=c++11 lambda.cpp
#Running
./a.out
#!/bin/sh | |
# | |
# Setup a work space called `work` with two windows | |
# first window has 3 panes. | |
# The first pane set at 65%, split horizontally, set to api root and running vim | |
# pane 2 is split at 25% and running redis-server | |
# pane 3 is set to api root and bash prompt. | |
# note: `api` aliased to `cd ~/path/to/work` | |
# | |
session="work" |
#Compilng You need g++ 4.9 to compile this code. Follow these steps to install g++-4.9
After installing run the following command to compile
/usr/bin/g++-4.9 -std=c++11 lambda.cpp
#Running
./a.out
""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
# input: fullchain.pem and privkey.pem as generated by the "letsencrypt-auto" script when run with | |
# the "auth" aka "certonly" subcommand | |
# convert certificate chain + private key to the PKCS#12 file format | |
openssl pkcs12 -export -out keystore.pkcs12 -in fullchain.pem -inkey privkey.pem | |
# convert PKCS#12 file into Java keystore format | |
keytool -importkeystore -srckeystore keystore.pkcs12 -srcstoretype PKCS12 -destkeystore keystore.jks | |
# don't need the PKCS#12 file anymore |
Last updated: April 2021
Also known as itag or format codes and way back they could be specified with the fmt parameter (e.g. &fmt=22
).
Depending on the age and/or popularity of the video, not all formats will be available.
Resolution | AV1 HFR High | AV1 HFR | AV1 | VP9.2 HDR HFR | VP9 HFR | VP9 | H.264 HFR | H.264 |
---|---|---|---|---|---|---|---|---|
MP4 | MP4 | MP4 | WebM | WebM | WebM | MP4 | MP4 |
This guide will show you how to use Intel graphics for rendering display and NVIDIA graphics for CUDA computing on Ubuntu 18.04 / 20.04 desktop.
I made this work on an ordinary gaming PC with two graphics devices, an Intel UHD Graphics 630 plus an NVIDIA GeForce GTX 1080 Ti.
Both of them can be shown via lspci | grep VGA
.
00:02.0 VGA compatible controller: Intel Corporation Device 3e92
01:00.0 VGA compatible controller: NVIDIA Corporation GP102 [GeForce GTX 1080 Ti] (rev a1)