mre

/*
 * Parallel bitonic sort using CUDA.
 * Compile with
 * nvcc -arch=sm_11 bitonic_sort.cu
 * Based on http://www.tools-of-computing.com/tc/CS/Sorts/bitonic_sort.htm
 * License: BSD 3
 */

#include <stdlib.h>
#include <stdio.h>

nettedfish

mysqladmin -P__port__ -umon -ppass -h127.0.0.1 -r -i 2 extended-status |awk -F "|" 'BEGIN { count=0; } { if($2 ~ /Variable_name/ && ++count%15 == 1){print "----------|---------|--- MySQL Command Status --|----- Innodb row operation -----|-- Buffer Pool Read --";    print "---Time---|---QPS---|select insert update delete|   read inserted updated deleted|   logical    physical";} else if ($2 ~ /Queries/){queries=$3;} else if ($2 ~ /Com_select /){com_select=$3;} else if ($2 ~ /Com_insert /){com_insert=$3;} else if ($2 ~ /Com_update /){com_update=$3;} else if ($2 ~ /Com_delete /){com_delete=$3;} else if ($2 ~ /Innodb_rows_read/){innodb_rows_read=$3;} else if ($2 ~ /Innodb_rows_deleted/){innodb_rows_deleted=$3;} else if ($2 ~ /Innodb_rows_inserted/){innodb_rows_inserted=$3;} else if ($2 ~ /Innodb_rows_updated/){innodb_rows_updated=$3;} else if ($2 ~ /Innodb_buffer_pool_read_requests/){innodb_lor=$3;} else if ($2 ~ /Innodb_buffer_pool_reads/){innodb_phr=$3;} else if ($2 ~ /Uptime / && count >= 2){  printf(" %s |%9d

ryerh

注意：本文内容适用于 Tmux 2.3 及以上的版本，但是绝大部分的特性低版本也都适用，鼠标支持、VI 模式、插件管理在低版本可能会与本文不兼容。

Tmux 快捷键 & 速查表 & 简明教程

启动新会话：

tmux [new -s 会话名 -n 窗口名]

恢复会话：

awni

"""
Author: Awni Hannun

This is an example CTC decoder written in Python. The code is
intended to be a simple example and is not designed to be
especially efficient.

The algorithm is a prefix beam search for a model trained
with the CTC loss function.

liviaerxin

FastAPI and Uvicorn Logging

When running FastAPI app, all the logs in console are from Uvicorn and they do not have timestamp and other useful information. As Uvicorn applies python logging module, we can override Uvicorn logging formatter by applying a new logging configuration.

Meanwhile, it's able to unify the your endpoints logging with the Uvicorn logging by configuring all of them in the config file log_conf.yaml.

Before overriding:

uvicorn main:app --reload

denguir

How to install CUDA / cuDNN / TensorRT on Ubuntu

Install NVIDIA drivers

Update & upgrade

sudo apt update && sudo apt upgrade

Remove previous NVIDIA installation