NNPACK | Acceleration package for neural networks on multi-core CPUs | Machine Learning library

by Maratyszcza C Version: Current License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | NNPACK Summary

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

NNPACK is an acceleration package for neural network computations. NNPACK aims to provide high-performance implementations of convnet layers for multi-core CPUs. NNPACK is not intended to be directly used by machine learning researchers; instead it provides low-level performance primitives leveraged in leading deep learning frameworks, such as PyTorch, Caffe2, MXNet, tiny-dnn, Caffe, Torch, and Darknet.

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Quality

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Support

NNPACK has a medium active ecosystem.

It has 1593 star(s) with 311 fork(s). There are 102 watchers for this library.

It had no major release in the last 6 months.

There are 39 open issues and 153 have been closed. On average issues are closed in 152 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NNPACK is current.

Quality

NNPACK has 0 bugs and 0 code smells.

Security

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

NNPACK code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NNPACK is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

NNPACK 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.

It has 4743 lines of code, 38 functions and 39 files.

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

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NNPACK Key Features

No Key Features are available at this moment for NNPACK.

NNPACK Examples and Code Snippets

No Code Snippets are available at this moment for NNPACK.

Community Discussions

Trending Discussions on NNPACK

Cuda version issue while using Detectron2 in Google Colab

QUESTION

Cuda version issue while using Detectron2 in Google Colab

Asked 2020-Jun-12 at 10:40

I am trying to run the Detectron2 module on Colab using CUDA version 10.0 but since today there have been some issues regarding the versions of Cuda Compiler.

The output I get after running !nvidia-smi is :

...

ANSWER

Answered 2020-Jun-12 at 10:39

The problem was with the compiled Detectron2 Cuda runtime version and once I recompiled Detectron2 the error was solved.

Here is the result from !python -m detectron2.utils.collect_env command:

Source https://stackoverflow.com/questions/62341457

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

Vulnerabilities

No vulnerabilities reported

Install NNPACK

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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