| #!/usr/bin/python2.7 | |
| """Quick hack of 'modern' OpenGL example using pysdl2 and pyopengl | |
| that shows a textured triangle; assumes there is a 'hazard.png' image | |
| file in working directory. | |
| Based on: | |
| pysdl2 OpenGL example | |
| http://www.tomdalling.com/blog/modern-opengl/02-textures/ | |
| http://www.arcsynthesis.org/gltut/Basics/Tut02%20Vertex%20Attributes.html |
| #!/usr/bin/python2.7 | |
| """Quick hack of 'modern' OpenGL example using pysdl2 and pyopengl | |
| Based on | |
| pysdl2 OpenGL example | |
| http://www.arcsynthesis.org/gltut/Basics/Tut02%20Vertex%20Attributes.html | |
| http://schi.iteye.com/blog/1969710 | |
| """ | |
| import sys |
| // SDL2 Hello, World! | |
| // This should display a white screen for 2 seconds | |
| // | |
| // sudo apt install libsdl2-dev | |
| // sudo apt install clang | |
| // | |
| // clang main.c -o hello_sdl2_clang -lSDL2 | |
| // clang++ main.cpp -o hello_sdl2_clangpp -lSDL2 | |
| // gcc main.c -o hello_sdl2_gcc -lSDL2 | |
| // g++ main.cpp -o hello_sdl2_gpp -lSDL2 |
| #!/bin/bash | |
| ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04 | |
| ### steps #### | |
| # verify the system has a cuda-capable gpu | |
| # download and install the nvidia cuda toolkit and cudnn | |
| # setup environmental variables | |
| # verify the installation | |
| ### |
| import numpy as np | |
| import gym | |
| import tensorflow as tf | |
| import matplotlib.pyplot as plt | |
| def weight_variable(shape): | |
| initial = tf.truncated_normal(shape, stddev=0.1) | |
| return tf.Variable(initial) | |
| def bias_variable(shape): |
| """ | |
| Easy-to-understand implementation of Beam Search algorithm used in decoder of | |
| seq2seq models (e.g. NMT). Results compared with tensorflow implementation | |
| (1.5.0) (`tf.contrib.seq2seq.BeamSearchDecoder`) | |
| """ | |
| import tensorflow as tf | |
| import numpy as np | |
| import heapq | |
| import collections |
| brew install autoconf automake libtool protobuf | |
| git clone --depth=1 https://github.com/google/sentencepiece.git /tmp/sentencepiece | |
| cd /tmp/sentencepiece | |
| ./autogen.sh | |
| ./configure | |
| make | |
| make check | |
| sudo make install |
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
| # REINFORCE: Monte Carlo Policy Gradient Implementation | |
| # Learn more from Reinforcement Learning: An Introduction (p271) | |
| # by Sutton & Barto | |
| import tensorflow as tf | |
| import gym | |
| import numpy as np | |
| from gym import wrappers | |
| # coding: utf-8 | |
| """ | |
| シンプルなパストレーサー | |
| cf. http://www.kevinbeason.com/smallpt/ | |
| """ | |
| import shutil | |
| import numpy as np | |
| import tensorflow as tf | |