dlprimitives | Deep Learning Primitives and Mini-Framework for OpenCL | Machine Learning library

by artyom-beilis C++ Version: Current License: MIT

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kandi X-RAY | dlprimitives Summary

dlprimitives is a C++ library typically used in Artificial Intelligence, Machine Learning applications. dlprimitives has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project aims to provide cross platform OpenCL tools for deep learning and inference. Today, most of deep learning training is done on NVidia GPUs using closed source CUDA and CUDNN libraries. It is either challenging or virtually impossible to use AMD or Intel GPUs. For example: AMD provides ROCm platform, but there is no support of RDNA platforms yet (more than a year since a release), there is no support of APUs and no support of any operating systems other than Linux.

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Support

dlprimitives has a low active ecosystem.

It has 90 star(s) with 7 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 6 have been closed. On average issues are closed in 10 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dlprimitives is current.

Quality

dlprimitives has 0 bugs and 0 code smells.

Security

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

dlprimitives code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dlprimitives 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

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

It has 3497 lines of code, 148 functions and 32 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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dlprimitives Key Features

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dlprimitives Examples and Code Snippets

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Community Discussions

Trending Discussions on dlprimitives

Including 3rd party protobuffer definition files

QUESTION

Including 3rd party protobuffer definition files

Asked 2021-Dec-20 at 18:39

I have a project that need to create/read protobuf files generated by other projects.

I want dlprimitives to be able to read files formatted as ONNX protobuf and Caffe protobuf

What is the best way to include them into project:

Copy the files from original repo with readme reference to sources for updates
Make caffe/onnx external sub-projects
Download them on demand upon build

My thoughts:

Is plain copy not sure how is it good for updating
Creates huge subprojects and increases clone time for a single file, since it is impossible to have subproject of a signle file
Assumes that build environment has internet access.

What would be better policy? How is it usually solved?

...

ANSWER

Answered 2021-Dec-20 at 10:34

All of your approaches are valid.

Protocol buffers is by design forward- or backward-compatible, so updating manually is fine. You'll can mitigate the issue by documenting the task or providing a script / task.
External sub-projects is also fine, but you'll still have to update them manually (in the case of git submodules) and handle changed paths in the original project. You'll might want to consider contacting the projects and suggest splitting the format descriptions from the main project.
Usually proxies or caches help in that case. Very few projects build nowadays without external dependencies.

In the end you should consider what you intended audience is. Maybe you can get some feedback from them how they would use your project?

Source https://stackoverflow.com/questions/70401816

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