How to Install and Uninstall libcudnn-frontend-dev Package on Kali Linux

Last updated: November 23,2024

1. Install "libcudnn-frontend-dev" package

Here is a brief guide to show you how to install libcudnn-frontend-dev on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcudnn-frontend-dev
            
                    
    
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2. Uninstall "libcudnn-frontend-dev" package

This guide covers the steps necessary to uninstall libcudnn-frontend-dev on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libcudnn-frontend-dev
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libcudnn-frontend-dev package on Kali Linux

Package: libcudnn-frontend-dev
Source: nvidia-cudnn-frontend
Version: 0.9.2+ds-1
Installed-Size: 435
Maintainer: Debian NVIDIA Maintainers
Architecture: all
Depends: nvidia-cudnn, nlohmann-json3-dev
Size: 43340
SHA256: 1eeeb9947a07171a8fb0cbc0cbd3986a51c870168be7b9e7bfb8905af925a1ec
SHA1: d26ba3e9f73a2eba770b16f6ddc34f4befa78695
MD5sum: abcdce4ed7bc2cc8bec1a1202460fb0c
Description: c++ wrapper for the cudnn backend API (development files)
The cuDNN frontend API is a C++ header-only library that wraps the cuDNN C
backend API. Both the frontend and backend APIs are entry points to the same
set of functionality that we commonly refer to as the "graph API".
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While there are two entry points to the graph API (i.e. backend and frontend),
we expect that most users will use the frontend entry point because:
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It is less verbose without loss of control. All functionality accessible
through the backend API is also accessible through the frontend API. It adds
functionality on top of the backend API, like errata filters and autotuning.
Also, for those who want to use the backend API, the frontend source can serve
as a reference implementation.
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This is a header-only C++ library.
Description-md5:
Homepage: https://github.com/NVIDIA/cudnn-frontend
Tag: devel::library, role::devel-lib
Section: contrib/libdevel
Priority: optional
Filename: pool/contrib/n/nvidia-cudnn-frontend/libcudnn-frontend-dev_0.9.2+ds-1_all.deb