i have been using lua for torch in command like. where i used luarocks to install packages but now i have a need to debug some code. As suggested by the community "Zerobrane Studio" is a lightweight IDE for that purpose. i have installed it on ubuntu 14.04.
Now i want to install the same packages as the IDE has its own installation of lua. Packages are i.e "dp, dpnn, nn" but after some search i found out ZeroBranes Studio uses luadist package manager. i went onto luadist.org. and tried one of the ways which lets you download the package using lua. i ran this code in the IDE. but it didn't work.
Use LuaDist functionality from Lua.
$ ./lua
> local ld = require "dist"
> ld.install("luaexpat")
Please help!
It should be sufficient in most cases to set the package.path and package.cpath paths in your script to provide access to those modules you are using (whether those modules are from LuaDist, Luarocks or manually installed next to your application scripts).
ZeroBrane Studio provides luadist plugin that simplifies the integration with modules installed from LuaDist and allows management of those modules directly from the Local console in the IDE. This plugin will also set the paths for the script (when running/debugging from the IDE), so you don't need to make any changes to the script itself, but it's likely to work only for the modules installed into that instance of LuaDist.
You may also want to check this post on Lua package managers and their integration with ZeroBrane Studio.
Related
I'm interested in incorporating TensorFlow into a C++ server application built in Visual Studio on Windows 10 and I need to know if that's possible.
Google recently announced Windows support for TensorFlow: https://developers.googleblog.com/2016/11/tensorflow-0-12-adds-support-for-windows.html
but from what I can tell this is just a pip install for the more commonly used Python package, and to use the C++ API you need to build the repo from source yourself: How to build and use Google TensorFlow C++ api
I tried building the project myself using bazel, but ran into issues trying to configure the build.
Is there a way to get TensorFlow C++ to work in native Windows (not using Docker or the new Windows 10 Linux subsystem, as I've seen others post about)?
Thanks,
Ian
It is certainly possible to use TensorFlow's C++ API on Windows, but it is not currently very easy. Right now, the easiest way to build against the C++ API on Windows would be to build with CMake, and adapt the CMake rules for the tf_tutorials_example_trainer project (see the source code here). Building with CMake will give you a Visual Studio project in which you can implement your C++ TensorFlow program.
Note that the tf_tutorials_example_trainer project builds a Console Application that statically links all of the TensorFlow runtime into your program. At present we have not written the necessary rules to create a reusable TensorFlow DLL, although this would be technially possible: for example, the Python extension is a DLL that includes the runtime, but does not export the necessary symbols to use TensorFlow's C or C++ APIs directly.
There is a detailed guide by Joe Antognini and a similar TensorFlow ReadMe at GitHub explaining the building of TensorFlow source via CMake. You also need to have SWIG installed on your machine which allows connecting C/C++ source with the Python scripting language. I did use Visual CMAKE (cmake-gui) with the screen capture shown below.
In the CMake configuration, I used Visual Studio 15 2017 compiler. Once this stage successfully completes, you can click on the Generate button to go ahead with the actual build process.
However, on Visual Studio 2015, when I attempted building via the "ALL_BUILD" project, the setup gave me "build tools for v141 cannot be found" error. This did not go away even when I attempted to retarget my solution. Finally, the solution got built successfully with Visual Studio 2017. You also need to manually set the SWIG_EXECUTABLE path in CMake before it successfully configures.
As indicated in the Antognini link, for me the build took about half an hour on a 16GB RAM, Core i7 machine. Once done, you might want to validate your build by attempting to run the tf_tutorials_example_trainer.exe file.
Hope this helps!
For our latest work on building TensorFlow C++ API on Windows, please look at this github page. This works on Windows 10, currently without CUDA support (only CPU).
PS:
Only the bazel build method works, because CMake is not supported and not maintained anymore, resulting in CMake configuration errors.
I had to use a downgraded version of my Visual Studio 2017 (from 15.7.5 to 15.4) by adding "VC++ 2017 version 15.4 v14.11 toolset" through the installer (Individual Components tab).
The cmake command which worked for me was:
cmake .. -A x64 -DCMAKE_BUILD_TYPE=Release ^
-T "v141,version=14.11" ^
-DSWIG_EXECUTABLE="C:/Program Files/swigwin-3.0.12/swig.exe" ^
-DPYTHON_EXECUTABLE="C:/Program Files/Python/python.exe" ^
-DPYTHON_LIBRARIES="C:/Program Files/Python/libs/python27.lib" ^
-Dtensorflow_ENABLE_GPU=ON ^
-DCUDNN_HOME="C:/Program Files/cudnn-9.2-windows10-x64-v7.1/cuda" ^
-DCUDA_TOOLKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0"
After the build, open tensorflow.sln in Visual Studio and build ALL_BUILD.
If you want to enable GPU computation, do check your Graphics Card here (Compute Capability > 3.5). Do remember to install all the packages (Cuda Toolkit 9.0, cuDNN, Python 3.7, SWIG, Git, CMake...) and add the paths to the environment variable in the beginning.
I made a README detailing how to I built the Tensorflow dll and .lib file for the C++ API on Windows with GPU support building from source with Bazel. Tensorflow version 1.14
The tutorial is step by step and starts at the very beginning, so you may have to scroll down past steps you have already done, like checking your hardware, installing Bazel etc.
Here is the url: https://github.com/sitting-duck/stuff/tree/master/ai/tensorflow/build_tensorflow_1.14_source_for_Windows
Probably you will want to scroll all the way down to this part:
https://github.com/sitting-duck/stuff/tree/master/ai/tensorflow/build_tensorflow_1.14_source_for_Windows#step-7-build-the-dll
It shows how to pass command to create .lib and .dll.
Then to test your .lib you should link it into your c++ project,
Then it will show you how to identify and fix the missing symbols using the TF_EXPORT macro
I am actively working on making this tutorial better so feel free to leave comments on this answer if you are having problems.
I'm trying to write a sample ImageMagick program in Visual Studio 2010. I have binary distribution of ImageMagick already installed on my system as I can use command line interface of ImageMagick.
However, when I try to include "Magick++.h" in my C++ program, it says it can't open source file.
I found the instructions on compiling and building ImageMagick from source, but is it possible to change my visual studio project settings so it can pick necessary references/libraries from the already installed version of ImageMagick?
I am by no means an expert, but here is what worked for me:
Using Windows7 Professional and Visual C++ Express 2010...
I checked the Install development headers and libraries for C and C++
At the end of the install, I got these two folders. Magick++.h lies inside include.
Be sure to set up your projects Additional Library Locations and Additional Include Directories and you should be able to compile your program.
Additionally:
The manual suggests you need to do this for your program to work, but I did not and it still worked:
InitializeMagick(path_to_ImageMagick_DLLs);
And during my brief test, I found that Magick::Image::Magick() which changes image formats does not work in Debug mode. It does work in Release mode though.
I was hoping to upgrade to F# 3.0 but I can't find either a packaged F# 3.0 compiler on Microsoft site, nor if there is an express version to use. Is it possible to install F# 3.0 for use from the command line or a simple IDE and if so, how?
The standalone version of F# is not available yet, but F# tools for Visual Studio Express have been released just 2 days ago, so you can get F# 3.0 for free.
Announcing F# Tools for Visual Studio Express 2012 for Web!
As far as I know, there are definitely plans for open-source release (that can be integrated with MonoDevelop) and it would make sense to have a stand-alone installer too (otherwise you could still just compile the open-source release), but I don't think there are specific dates for that.
The easiest way I've got it to run:
http://www.heartysoft.com/build-fsharp-3-on-build-server-without-vs
Essentially using the direct download link on the Web PI tools.
I have successfully make a standalone F# 3.0 works without Visual Studio 2012.
First, find a workstation with F# 3.0 installed. (source)
Duplicate all the things to destination workstation.
-> C:\Program Files (x86)\Microsoft SDKs\F#
-> C:\Program Files (x86)\Reference Assemblies\Microsoft\FSharp
-> C:\Windows\Microsoft.NET\assembly\GAC_MSIL\FSharp*
Install .NET 4.5 at destination.
Export all the registry item with FSC.exe string to destination.
Export all the registry item with FSharp string to destination.
f# 3.0 registry.rar
if you don't know how to export the registry items, please download this file and use powershell to import all this .reg file.
PowerShell script: (put the .reg files into c:\xxx suppossedly )
cd c:\xxx
dir *.reg | %{ ('reg import "' + $_.Name + '"') | cmd }
I'm assuming most of you seeking an answer to this question by now probably wouldn't mind the most recent version, which is 4.0. You can download this as a standalone at F# 4.0 . This does not include the supporting assemblies and will fail by itself. So you'll also have to download and install the Microsoft Build Tools 2015 . Should be all set to go from there, no installing the mega-massive visual studio. Of course if you need an IDE you'll need to seek out a free one.
You can use Nuget CLI to install the F# Compiler Tools without relying on Visual Studio. As a plus, this procedure does not require admin rights.
Visit nuget.org/downloads and download the latest nuget.exe file.
Instruct your browser to save the file to a folder of your choice.
Add the folder where you placed nuget.exe to your PATH environment variable to use the CLI tool from anywhere.
Open a command prompt and navigate to the folder where you want to install F# Tools.
Run "nuget install FSharp.Compiler.Tools -Version {version}", where {version} is replaced with a version from https://www.nuget.org/packages/FSharp.Compiler.Tools
Add the 'tools' directory to your PATH Environment Variable and then you will be able to use fsc and fsi from the command line.
There is not currently a standalone version of F# 3.0. However, one has been promised
I run F# 3.0 from the cygwin command line on Windows 7. You need to know a little about Linux/Unix to use cygwin, but the basics are not too difficult. You need the basic cygwin shell (command interpreter) and an editor. I am used to vi, so cygwin has vim (there exists a nice F# syntax color addon to vim).
You need to:
Install visual studio in order to get F#
in /users/myname/.bashrc add the location of Fsc.exe, which in my case is
/cygdrive/c/Program Files (x86)/Microsoft SDKs/F#/3.0/Framework/v4.0
to your PATH.
I am currently learning F# and preparing to write my first program. I will be using Visual Studio 10 in Windows 7 to write the code, because the F# support for MonoDevelop is a few versions behind.
My normal day-to-day development environment is Mac Os X 10.7. I have Mono and MonoDevelop installed. After I finish writing my masterpiece, how do I package it for running on Os X? What DLLs do I need to send to other Windows users so that they can run my .exe file? How do they install those DLLs?
In the Java world (where I usually live), I just package my Java code with any dependencies into a monolithic UberJAR that I can send to anyone who has the appropriate version of Java (usually 6) and they can run my code by typing
java -jar MyUberJar.jar
I routinely write code in Scala and include the Scala library, along with any other dependencies.
Is there any easy way to do something similar for .NET, and specifically for F#?
One alternative is to use the --standalone flag to fsc which will statically compile all the DLL's you need into a single large EXE. The people you send it to will still need to install Mono, but there are no other dependencies.
I think this is what most people use:
http://wix.sourceforge.net/
I say "I think" because at work we've got a release team that builds the installer package for us.
What's the Lua's standard package management system and repository? Like brew for Mac OS X, npm for node.js.
There is no standard Lua package management system, but you can try out the following:
LuaRocks - contains a rather large number of Lua modules distributed as rocks. Once LuaRocks is installed, the installation is simple: luarocks install desired-package. On Linux/Unix/Mac, this will install into /usr/local/{share,lib}/lua/5.1, where the Lua interpreter looks for modules.
LuaDist - designed to create an independent standalone directory with Lua and modules (a dist). Everything in LuaDist is CMake-based, which means that it can be easily compiled using any compiler/IDE supported by CMake. LuaDist also has an extensive repository which contains Lua modules and also many C dependencies/libraries, which allows to create a truly independent Lua "distribution". Installation is the same as with LuaRocks - luadist install desired-package.