ShuffleNet | This is a fast caffe implementation of ShuffleNet | Machine Learning library

by farmingyard C++ Version: Current License: No License

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

kandi X-RAY | ShuffleNet Summary

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

This is caffe implementation of ShuffleNet, For details, please read the original paper: "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices" by Xiangyu Zhang et. al. 2017. This code is based on camel007's implementation(but I recode the cuda file for acceleration.

Support

Quality

Security

License

Reuse

Support

ShuffleNet has a low active ecosystem.

It has 452 star(s) with 252 fork(s). There are 32 watchers for this library.

It had no major release in the last 6 months.

There are 16 open issues and 9 have been closed. On average issues are closed in 4 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ShuffleNet is current.

Quality

ShuffleNet has no bugs reported.

Security

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

License

ShuffleNet does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ShuffleNet 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.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ShuffleNet

Get all kandi verified functions for this library.

ShuffleNet Key Features

No Key Features are available at this moment for ShuffleNet.

ShuffleNet Examples and Code Snippets

No Code Snippets are available at this moment for ShuffleNet.

Community Discussions

Trending Discussions on ShuffleNet

Compile only one layer files in caffe

QUESTION

Compile only one layer files in caffe

Asked 2018-Jan-16 at 14:01

When we developed a new layer in caffe, which is new_layer.cpp, new_layer.cu, and new.layer.hpp, we have to recompile caffe, is it possible to compile only this new layer files, like an update to the original library, or we have to recompile the whole library again? Can someone give me a hint?

ADD: actually I downloaded the layer files from someone's implementation on github: https://github.com/farmingyard/ShuffleNet there are .cpp .cu .hpp files, I put .cpp and .cu in caffe/src/caffe/layers, put .hpp in caffe/include/caffe/layers/, then add in caffe.proto as:

...

ANSWER

Answered 2018-Jan-16 at 09:50

When compiling using make, make knows what source it already compiled and what changed since the last build. If you only make local changes, make will only compile/link the source that changed and what is affected by it (A change to a header file might require compilation of other sources that #include this header).
That is, you do not need to do anything special, just keep using make.
If you make clean you delete all compiled objects and forces make to re-compile the entire project from scratch.

Source https://stackoverflow.com/questions/48275980

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

Vulnerabilities

No vulnerabilities reported

Install ShuffleNet

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 .

Find more information at: