jaisonoh

#!/bin/bash
## This gist contains step by step instructions to install cuda v10.0 and cudnn 7.5 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
###

jaisonoh

This is how I managed to build TensorFlow 2.0 on Ubuntu 18.04 (x86_64) with Bazelisk:

$ sudo apt update
$ sudo apt full-upgrade
$ sudo apt install curl

# Install Bazelisk.
$ sudo curl -Lo /usr/local/bin/bazel https://github.com/bazelbuild/bazelisk/releases/download/v1.1.0/bazelisk-linux-amd64
$ sudo chmod +x /usr/local/bin/bazel

jaisonoh

#include "Debug"

void main() {
	// Load a reference image
	ref<Debug> debug;
	std::vector<float4> _ref = debug->getRefimg(film);

	// Calculate
	float4* _refDxErr = new float4[xSize * ySize];
	float4* _refDyErr = new float4[xSize * ySize];

jaisonoh

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jaisonoh

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jaisonoh

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jaisonoh

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        "inform": "<table><tr><th>30분 이내</th><td>1,000원</td></tr><tr><th>15분 추가</th><td>300원</td></tr></table>",

jaisonoh

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tr, th, td, article, aside, canvas, details, embed, figure, figcaption, footer, header, hgroup, menu, nav, output, ruby, section, summary, time, mark, audio, video {
	margin: 0;
	padding: 0;
	border: 0;
	font-size: 100%;
	font: inherit;

jaisonoh

$(document).ready(function() {

  //html
  var body = '\
   <div id="panel-menu">\
    <input type="button" id="menu-button" value="욕조">\
    <h1><span id="title">스마트 수도꼭지 프로젝트</span></h1>\
   </div>\
   <div id="panel-page">\

jaisonoh

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