amd

After reading this tutorial https://www.tensorflow.org/guide/using_gpu I checked GPU session on this simple code import numpy as np import matplotlib.pyplot as plt import tensorflow as tf a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2,3], name = 'a') b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape = [3,2], name = 'b') c = tf.matmul(a, b) with tf.Session(config=tf.ConfigProto(log_device_placement=True)) as sess: x = sess.run(c) print(x) The output was 2018-08-07 18:44:59.019144: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this

Ryzen一代(14纳米)、二代(12纳米)CPU一览表 http://img30.360buyimg.com/sku/jfs/t1/1134/23/12713/382299/5bd910f9E63b43804/d8217cd777803c1b.jpg 来源： https://www.cnblogs.com/rtcode/p/11933818.html

I am using the following closure pattern to modularise my code: (function(root) { // MODULE CODE HERE if (typeof module !== 'undefined' && module.exports) { // CommonJS /* var dependencies = require(...) */ module.exports = myModule; } else if (typeof define !== 'undefined' && define.amd) { // AMD /* var dependencies...; */ define([/* dependencies */], function(/* dependencies */) { /* Assign closure level vars to respective arguments */ return myModule; }); } else { // Dependencies?? root.myModule = myModule; } })(this); i.e., We use feature detection to support CommonJS modules (e.g., node

From this article : https://hacks.mozilla.org/2015/08/es6-in-depth-modules/ It is written that The new standard is designed to interoperate with existing CommonJS and AMD modules. And more precisely All CommonJS and AMD modules are presented to ES6 as having a default export If it is really the case all we'd need is a ES6 polyfill and we wouldn't have to do use anything else. Yet for eg this ES6 Polyfill : https://github.com/ModuleLoader/es6-module-loader doesn't seem to allow loading CommonJS/AMD modules from ES6 but only solutions built on top of it like SystemJS allow it. So the question is

I have seen a couple of ways on how to do this, but I can never figure out which is the 'correct' way. Jeffrey Way from NetTuts+ and Addy Osmani instantiate a 'main' application view in order to kick off their applications. require(['views/app'], function(AppView) { new AppView(); }); Ryan Bates from Railscasts starts his application by instantiating a router which then handles subsequent requests: window.App = Models: {} Collections: {} Views: {} Routers: {} init: -> new App.Router() Backbone.history.start() } } $(document).ready -> App.init() Is there an important difference between these

需要下载的AMD SATA 驱动： 下载AMD SATA https://github.com/StoneIsDeveloper/UsefulTools/blob/master/AMD%20SATA/AMD_SATA.zip 系统： win10 ,AMD 下载文件之后，更新 SATA驱动，选择AMD 更新之后： 来源： https://www.cnblogs.com/leestone/p/11919026.html

In an attempt to put together an AMD-friendly TypeScript application skeleton, I've run into a snag: I can't seem to drop down from my current path to import a module in another directory. I can import modules that are above, but below throws an error: TypeScript Error: The name ''../core/View'' does not exist in the current scope Here the is the structure of my (very basic) app: app/ - core/ - View.ts - views/ - HomeView.ts - Application.ts In my Application.ts file, I can successfully import a module like so: import HomeView = module( 'views/HomeView' ); export class Application {

I'm wondering what is the proper approach for using RequireJS in a project with multiple modules, regarding performance of multiple require calls with less dependencies vs a single require with all the dependencies. Let's take the case where, for an app, I need to load some modules: gmaps, jquery, module1, module2, module3 . The use for some of the modules is quite independent. So, the question is which of the following alternatives is recommended (supposedly this code is the main module loaded into the page): require(['gmaps'], function(gmaps){ gmaps.use(); }); require(['jquery','module1'],