arrayfire-dotnet | .NET wrapper for ArrayFire | GPU library

by arrayfire C# Version: Current License: BSD-3-Clause

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kandi X-RAY | arrayfire-dotnet Summary

arrayfire-dotnet is a C# library typically used in Hardware, GPU applications. arrayfire-dotnet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

ArrayFire is a high performance library for parallel computing with an easy-to-use API. It enables users to write scientific computing code that is portable across CUDA, OpenCL and CPU devices. This project provides .NET bindings for the ArrayFire library. It conforms to .NET Standard 2.x, so it can be used from any .net Language such as C# or F#.

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Security

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Support

arrayfire-dotnet has a low active ecosystem.

It has 74 star(s) with 17 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 9 have been closed. On average issues are closed in 162 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of arrayfire-dotnet is current.

Quality

arrayfire-dotnet has 0 bugs and 0 code smells.

Security

arrayfire-dotnet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

arrayfire-dotnet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

arrayfire-dotnet is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

arrayfire-dotnet releases are not available. You will need to build from source code and install.

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arrayfire-dotnet Key Features

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Community Discussions

Trending Discussions on arrayfire-dotnet

Convert af::array to af_array and back

QUESTION

Convert af::array to af_array and back

Asked 2020-May-28 at 19:43

I would like to use the ArrayFire library to run multiple artificial neural networks on the GPU in parallel.

Since I am mainly a C# developer I tried to realize it via SiaNet. But I encountered the problem that SiaNet can only run one neural network at a time.

This is because SiaNet and the C# API of ArrayFire do not implement the batchFunc function.

I wanted to make up for this and built my own little library. There I call the batchFunc function and want to build an API which can be called from C# with PInvokes.

The problem is that I can only use af_array from C#, but the batchFunc function can only process af::array. Therefore I need to convert one into the other.

My MatrixMultiply function, to have a function that I can pass batchFunc:

...

ANSWER

Answered 2020-May-28 at 19:43

An af::array instance has a method .get(), from which you can retrieve an af_array instance.

Source https://stackoverflow.com/questions/60780157

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