llvm

Currently I am interested in ARM in general and specifically iphone/android targets. But I just want to know more about clang, since it feels to play important role in the years to come. I tried clang -cc1 --help|grep -i list clang -cc1 --help|grep arch|grep -v search clang -cc1 --help|grep target -triple <value> Specify target triple (e.g. i686-apple-darwin9) I know clang has -triplet parameter, but how can I list all possible values for it? I found that clang is very different to gcc in respect to cross compiling, in GCC world you should have separate binary for everything, like PLATFORM

I keep hearing about LLVM all the time. It's in Perl, then it's in Haskell, then someone uses it in some other language? What is it? LiraNuna LLVM is a library that is used to construct, optimize and produce intermediate and/or binary machine code. LLVM can be used as a compiler framework, where you provide the "front end" (parser and lexer) and the "back end" (code that converts LLVM's representation to actual machine code). LLVM can also act as a JIT compiler - it has support for x86/x86_64 and PPC/PPC64 assembly generation with fast code optimizations aimed for compilation speed. If you're

I wonder, since LLVM 3.0 is readily available and officially released, is there a way to compile with LLVM 3 when using Xcode 4.1. It would help alot since I used ARC and my app development turned out to be finished sooner than planned. So I don't have to wait until next Xcode 4.2 is released to upload my app to Apple review. Thanks You can easily compile with any compiler you want with Xcode; see http://mattrajca.com/post/8749868513/llvm-code-coverage-and-xcode-4 , for example. IIRC, you aren't allowed to submit an app that isn't using a compiler bundled with an official Xcode release, though

My book says this: Lambdas with function bodies that contain anything other than a single return statement that do not specify a return type return void. but this: auto f = []{ int i=0; i++; return std::string("foo"); }; std::cout << f() << std::endl; actually compiles and prints out "foo", but that lambda expr has more than just a single return statement so it should return void, because it does not manually specify "-> std::string" as a return type. What's going on here? I'm using Apple's compiler in the latest Xcode 4.6, based on Clang 3.2 it seems: clang --version Apple LLVM version 4.2

好久没弄ollvm了，可以继续了，今天给ollvm新增了一个pass，用来加密字符串，这个pass是从别的库里面扒出来的。 本文是基于在Windows 上使用VS2017编译出来的ollvm，在这个基础上来添加。 第一步： 寻找两个pass的代码 头文件 1 #ifndef _STRING_OBFUSCATION_H_ 2 #define _STRING_OBFUSCATION_H_ 3 4 5 // LLVM include 6 #include "llvm/Pass.h" 7 #include "llvm/IR/Function.h" 8 #include "llvm/IR/Instructions.h" 9 #include "llvm/ADT/Statistic.h" 10 #include "llvm/Transforms/IPO.h" 11 #include "llvm/IR/Module.h" 12 #include "llvm/Support/CommandLine.h" 13 #include "llvm/CryptoUtils.h" 14 15 // Namespace 16 using namespace llvm; 17 using namespace std; 18 19 namespace llvm { 20 Pass

原 TensorFlow技术内幕（七）：模型优化之XLA（上） 2018年06月13日 14:53:49 jony0917 阅读数 5513 版权声明：本文为博主原创文章，遵循 CC 4.0 by-sa 版权协议，转载请附上原文出处链接和本声明。 本文链接： https://blog.csdn.net/gaofeipaopaotang/article/details/80679100 本章中我们分析一下TensorFlow的XLA（Accelerated Linear Algebra 加速线性代数)的内核实现。代码位置在tensorflow/compiler. XLA 在XLA技术之前，TensorFlow中计算图的执行是由runtime(运行时)代码驱动的：runtime负责加载计算图定义、创建计算图、计算图分区、计算图优化、分配设备、管理节点间的依赖并调度节点kernel的执行；计算图是数据部分，runtime是代码部分。在第五章session类的实现分析中，我们已经比较详细的分析了这个过程。在XLA出现之后，我们有了另一个选择，计算图现在可以直接被编译成目标平台的可执行代码，可以直接执行，不需要runtime代码的参与了。 本章我就来分析一下XLA是如何将tensorflow.GraphDef编译成可执行代码的。 目前XLA提供了AOT(提前编译)和JIT(即时编译)两种方式

Where can I find the sequence of optimizations used by clang according to -OX? clang executes the precisely same sequence of passes as opt -ON. So, you can do something like llvm-as < /dev/null | opt -O3 -disable-output -debug-pass=Arguments to derive the "full" set of passes which are run at O3. 来源： https://stackoverflow.com/questions/7796151/where-to-find-the-optimization-sequence-for-clang-ox