vuda | library based on Vulkan that provides a CUDA Runtime API | GPU library

by jgbit C++ Version: Current License: MIT

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kandi X-RAY | vuda Summary

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

VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.

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Support

vuda has a low active ecosystem.

It has 470 star(s) with 21 fork(s). There are 30 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 12 have been closed. On average issues are closed in 38 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of vuda is current.

Quality

vuda has no bugs reported.

Security

vuda has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

vuda is licensed under the MIT License. This license is Permissive.

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

Reuse

vuda releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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vuda Key Features

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vuda Examples and Code Snippets

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Community Discussions

Trending Discussions on vuda

Tensorflow not recognizing NVIDIA GEFORCE RTX 2070 (only CPU)

Im getting null when trying to send my MimeMessage email in spring boot

The first time running my jsp page it gives a blank page and a null pointer exception

QUESTION

Tensorflow not recognizing NVIDIA GEFORCE RTX 2070 (only CPU)

Asked 2019-Apr-16 at 17:43

UPDATE: After more googling and research I have discovered that Tensor flow doesn't support CUDA 10.1 and only support VUDA 10.0 as of Feb 2019. So I will have to downgrade to CUDA 10.0 to work with the current TF version

TLDR: CUDA is installed and CUDNN is working but I can't get Tensorflow to recognize my NVIDIA GEFORCE RTX 2070, it only shows my CPU as avaiable devices. By Running this.

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ANSWER

Answered 2019-Apr-16 at 17:43

After more googling and research I have discovered that Tensor flow doesn't support CUDA 10.1 and only support CUDA 10.0 as of Feb 2019. So I will have to downgrade to CUDA 10.0 to work with the current TF version

Source https://stackoverflow.com/questions/55699536

QUESTION

Im getting null when trying to send my MimeMessage email in spring boot

Asked 2018-Aug-28 at 00:35

I created a class that creates and sends the email, but its not working, I used to have it in a repository and all worked fine, but when i moved it to its own class im getting null everytime I try to use it.

My class:

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ANSWER

Answered 2018-Aug-28 at 00:35

You are creating an instance of EmailOPJ instead of letting spring handle the dependencies. because you are creating an instance yourself, you're losing all the autowired dependencies on EmailOPJ. You need

Source https://stackoverflow.com/questions/52048306

QUESTION

The first time running my jsp page it gives a blank page and a null pointer exception

Asked 2018-Jun-16 at 03:48

It only Happens the first time i run my page or restart the glassfish server, i can even close the page and open it again and it wont show the exception and blank page until i restart the glassfish and run it again. The log shows some lines but those lines have no code so i dont really know whats the problem since i already check an i dont have any null variables. here the log (let me know if you need the code): Edit: I dont really understand why im getting downvoted, i tried to be ass clear as possible and gave the log with code.

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ANSWER

Answered 2018-Jun-16 at 03:48

You need first check if c is null or not,then execute System.out.println(c.getName() + " " + c.getValue());

So change your code to below:

Source https://stackoverflow.com/questions/50882978

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install vuda

You can download it from GitHub.

Support

VUDA is based on the Vulkan API. The functionality of VUDA conforms (as much as possible) to the specification of the CUDA runtime. For normal usage consult the reference guide for the NVIDIA CUDA Runtime API, otherwise check the VUDA wiki:.

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