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ArrayFire is a general-purpose tensor library that simplifies the software development process for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Several of ArrayFire's benefits include: Hundreds of accelerated tensor computing functions, in the following areas: Array handling Computer vision Im
1. プリミティブクラスと普通クラスの2種類あり、プリミティブクラスはヒープを使いません。メソッド呼び出しも無く演算子のみサポートしていてプリミティブクラスの値への処理は高速です。しかしboxingやunboxingがありプリミティブクラスにメソッドコールを行ったときやコンテナライブラリに値を追加する場合などはboxingされてプリミティブクラスの使いずらさを軽減しています。逆に演算子の対象になった場合はunboxingされます。 2. 関数型言語のようにLambdaやclosureは第一級オブジェクトです。正規表現も第一級オブジェクトです。 3. 簡易なGenericsがあります。JavaのGenericsを簡素にしたようものです。コンパイル時のみGenerics情報があり、実行時には消えているので効率的です。 4. 簡略化のために継承はありません。インターフェースとクラスとモジュールの
And then execute: $ bundle Or install it yourself as: $ gem install rufo Usage Format files or directories $ rufo file names or dir names Format STDIN $ cat file.rb | rufo Check that no formatting changes are produced $ rufo --check file names or dir names This will print one line for each file that isn't correctly formatted according to rufo , and will exit with exit code 1. Editor support Sublim
README.md tfprof: TensorFlow Profiler and Beyond Features Profile model architectures parameters, tensor shapes, float operations, device placement, etc. Profile model performance execution time, memory consumption Profile multiple steps. Auto detect and advise. (Experimental) Interfaces Python API Command Line Visualization C++ API (Not public, contact us if needed.) Views and Options tfprof prov
The branch rtl_mjit_branch is used for development of RTL (register transfer language) VM insns and MRI JIT (MJIT in brief) of the RTL insns The last branch merge point with the trunk is always the head of the branch rtl_mjit_branch_base The branch rtl_mjit_branch will be merged with the trunk from time to time and correspondingly the head of the branch rtl_mjit_branch_base will be the last merge
quickstack is a tool to take call stack traces with minimal overheads. There are a couple of tools to take stack traces such as gdb, pstack, but these tools have serious overheads. In many cases, target process stops for 0.2-N seconds. So it is dangerous to use such tools in production environment. quickstack makes it possible to take stack traces in less than 1 milliseconds. This is much smaller
MIT Deep Learning Book in PDF format Update: we just added a section [Deep Learning Papers] to this repository. We feel it complements very well the intention of this repository that is to help students to get all the relevant information about deep learning in one place. This book was downloaded in HTML form and conviniently joined as a single PDF file for your enjoyment. Please notice the known
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