BitSplit | BitSplit Post-trining Quantization | Machine Learning library

by wps712 Python Version: Current License: Apache-2.0

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kandi X-RAY | BitSplit Summary

BitSplit is a Python library typically used in Telecommunications, Media, Advertising, Marketing, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. BitSplit has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However BitSplit build file is not available. You can download it from GitHub.

Bit-split is a novel post-training network quantization framework where no finetuning is needed. A8W4 model for ResNet-18: BaiduCloud.

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BitSplit has a low active ecosystem.

It has 15 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 4 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 BitSplit is current.

Quality

BitSplit has no bugs reported.

Security

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

License

BitSplit is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

BitSplit has no build file. You will be need to create the build yourself to build the component from source.

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

Top functions reviewed by kandi - BETA

kandi has reviewed BitSplit and discovered the below as its top functions. This is intended to give you an instant insight into BitSplit implemented functionality, and help decide if they suit your requirements.

Main function .
conducts the tensorflow weights
Initialize v2d .
Quantize images .
Extract features from QUAN .
Performs the inverse of the inverse Fourier transform .
Validate the model .
Optimized OWA r . r . r .
Optimization of W .
Calculate the starting point for a circle .

Get all kandi verified functions for this library.

BitSplit Key Features

No Key Features are available at this moment for BitSplit.

BitSplit Examples and Code Snippets

No Code Snippets are available at this moment for BitSplit.

Community Discussions

Trending Discussions on BitSplit

type/origin of R's 'as' function

QUESTION

type/origin of R's 'as' function

Asked 2018-Jan-14 at 20:01

R's S3 OO system is centered around generic functions that call methods depending on the class of the object the generic function is being called on. The crux is that the generic function calls the appropriate method, as opposed to other OO programming languages in which the method is defined within the class.

For example, the mean function is a generic function.

...

ANSWER

Answered 2018-Jan-14 at 19:32

as is not an S3 generic, but notice that you got a TRUE. (I got a FALSE.) That means you have loaded a package that definesas as an S4-generic. S3-generics work via class dispatch that employs a *.default function and the UseMethod-function. The FALSE I get means there is no method defined for a generic as that would get looked up. One arguable reason for the lack of a generic as is that calling such a function with only one data object would not specify a "coercion destination". That means the destination needs to be built into the function name.

After declaring as to be Generic (note the capitalization which is a hint that this applies to S4 features:

Source https://stackoverflow.com/questions/48252241

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

Vulnerabilities

No vulnerabilities reported

Install BitSplit

You can download it from GitHub.
You can use BitSplit like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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