| // | |
| // | |
| // | |
| #include <stdlib.h> | |
| #include <stdio.h> | |
| // | |
| // | |
| // |
Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
On Ubuntu 16.04LTS+:
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:
| #!/bin/bash | |
| ### BEGIN INIT INFO | |
| # Provides: <service name> | |
| # Required-Start: $remote_fs $syslog | |
| # Required-Stop: $remote_fs $syslog | |
| # Default-Start: 2 3 4 5 | |
| # Default-Stop: 0 1 6 | |
| # Short-Description: <service description> | |
| ### END INIT INFO |
| #sudo pip install --upgrade git+https://github.com/dav1dde/glad.git#egg=glad | |
| #python main.py --api gl=3.3 --generator=c --out-path=GL | |
| find_package(CUDA) | |
| find_package(GLFW) | |
| include_directories(${GLFW_INCLUDE_DIRS}) | |
| include_directories(GL/include) | |
| cuda_add_executable(main main.c assert_cuda.c interop.c GL/src/glad.c kernel.cu) | |
| target_link_libraries(main ${GLFW_LIBRARY}) |
| #include <stdio.h> | |
| #include <stdlib.h> | |
| #include <string.h> | |
| #include <string> | |
| #include <vector> | |
| #include <fstream> | |
| #include <sys/socket.h> | |
| #include <netinet/in.h> | |
| #include <arpa/inet.h> | |
| #include <assert.h> |
| Here are all the classes from Bootstrap 3 (version 3.1.1). | |
| U may also see : http://getbootstrap.com/css/ | |
| Method of extraction: | |
| 1. Download Bootstrap 3 and rename bootstrap.css as "bootstrap.html" | |
| 2. Add the following 24 lines of code to the very bottom of the bootstrap.html file: | |
| <script src="http://code.jquery.com/jquery-1.11.0.min.js"></script> |
| <?php | |
| /* | |
| Author: Jim Westergren & Jeedo Aquino | |
| File: index-with-redis.php | |
| Updated: 2012-10-25 | |
| This is a redis caching system for wordpress. | |
| see more here: www.jimwestergren.com/wordpress-with-redis-as-a-frontend-cache/ |
