ITPruner | repository contains all the experiments of our paper

by MAC-AutoML Python Version: Current License: No License

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

kandi X-RAY | ITPruner Summary

ITPruner is a Python library. ITPruner has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This repository contains all the experiments of our paper "An Information Theory-inspired Strategy for Automatic Network Pruning". It also includes some pretrain_models which we list in the paper.

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Support

ITPruner has a low active ecosystem.

It has 13 star(s) with 4 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 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ITPruner is current.

Quality

ITPruner has no bugs reported.

Security

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

License

ITPruner 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

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

Build file is available. You can 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 ITPruner and discovered the below as its top functions. This is intended to give you an instant insight into ITPruner implemented functionality, and help decide if they suit your requirements.

Print the model parameter flops .
Convert a cfg to flops per layer .
Main function .
Lookup table_flops using lookup .
Pretty print a single - shot model .
Calculate the profile of the module .
Evaluate the model .
Get unppruned weights .
Runs the training epoch
Loads cifar10 .

Get all kandi verified functions for this library.

ITPruner Key Features

No Key Features are available at this moment for ITPruner.

ITPruner Examples and Code Snippets

No Code Snippets are available at this moment for ITPruner.

Community Discussions

No Community Discussions are available at this moment for ITPruner.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ITPruner

You can download it from GitHub.
You can use ITPruner 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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