xuhdev

# Makefile template for a shared library in C
# https://www.topbug.net/blog/2019/10/28/makefile-template-for-a-shared-library-in-c-with-explanations/

CC = gcc  # C compiler
CFLAGS = -fPIC -Wall -Wextra -O2 -g  # C flags
LDFLAGS = -shared   # linking flags
RM = rm -f   # rm command
TARGET_LIB = libtarget.so  # target lib

SRCS = main.c src1.c src2.c  # source files

Stanback

#
# CORS header support
#
# One way to use this is by placing it into a file called "cors_support"
# under your Nginx configuration directory and placing the following
# statement inside your **location** block(s):
#
#   include cors_support;
#
# As of Nginx 1.7.5, add_header supports an "always" parameter which

arthurbeggs

#!/bin/bash

################################################################################
###                       OpenCV2 Installation Script                        ###
################################################################################
#            Source code at https://github.com/arthurbeggs/scripts             #
################################################################################
#                                                                              #
#     Feel free to copy and modify this file. Giving me credit for it is your  #
# choice, but please keep references to other people's work, which I don't     #

borgfriend

#!/bin/bash
#Make sure we’re running with root permissions.
if [ `whoami` != root ]; then
    echo Please run this script using sudo
    echo Just type “sudo !!”
    exit
fi

#Check for 64-bit arch
if [uname -m != x86_64]; then

mosquito

Docker compose as a systemd unit

Create file /etc/systemd/system/docker-compose@.service. SystemD calling binaries using an absolute path. In my case is prefixed by /usr/local/bin, you should use paths specific for your environment.

[Unit]
Description=%i service with docker compose
PartOf=docker.service
After=docker.service

mrry

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

ShreyasSkandan

#!/bin/bash

# For latest CUDA 9.0
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/cuda-repo-l4t-9-0-local_9.0.252-1_arm64.deb

# For latest CUDNN 7.0.5
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libcudnn7_7.0.5.13-1+cuda9.0_arm64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libcudnn7-dev_7.0.5.13-1+cuda9.0_arm64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libcudnn7-doc_7.0.5.13-1+cuda9.0_arm64.deb

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

bogdan-kulynych

# WARNING: These steps seem to not work anymore!

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

bcremer

## See: https://serverfault.com/a/915845/17736
FROM percona/percona-server:5.7 as builder

USER root

RUN mkdir -p /initialized-db && chown -R mysql:mysql /initialized-db

# That file does the DB initialization but also runs mysql daemon, by removing the last line it will only init
RUN ["sed", "-i", "s/exec \"$@\"/echo \"not running $@\"/", "/docker-entrypoint.sh"]