How to Install and Uninstall libdlpack-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 25,2024

1. Install "libdlpack-dev" package

Learn how to install libdlpack-dev on Ubuntu 21.04 (Hirsute Hippo)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libdlpack-dev
            
                    
    
    Copied

2. Uninstall "libdlpack-dev" package

Please follow the steps below to uninstall libdlpack-dev on Ubuntu 21.04 (Hirsute Hippo):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libdlpack-dev
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libdlpack-dev package on Ubuntu 21.04 (Hirsute Hippo)

Package: libdlpack-dev
Architecture: amd64
Version: 0.0~git20200217.3ec0443-2
Priority: optional
Section: universe/science
Source: dlpack
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Deep Learning Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 27
Filename: pool/universe/d/dlpack/libdlpack-dev_0.0~git20200217.3ec0443-2_amd64.deb
Size: 6396
MD5sum: df2c2ab146dbe6a40c8da1c495e1b42c
SHA1: 916cdd13c05ab3c16e3de2182d5bd01eb1fc6da8
SHA256: aac8276fd3a3b6a10fd51e56603fb2c0fb5bfe72d00d70fa063fac3e26cb2605
SHA512: c3324c8286562d04ff6a4f20dd8e389cb0ae526cdba5cc0ca0a9c602ef71f52520780de01883c20677609d784d7f8a069104650117a6533f0f8f10d10ae4180b
Homepage: https://github.com/dmlc/dlpack
Description-en: Open In Memory Tensor Structure
DLPack is an open in-memory tensor structure to for sharing tensor among
frameworks. DLPack enables
.
* Easier sharing of operators between deep learning frameworks.
* Easier wrapping of vendor level operator implementations, allowing
collaboration when introducing new devices/ops.
* Quick swapping of backend implementations, like different version of BLAS
* For final users, this could bring more operators, and possibility of mixing
usage between frameworks.
.
DLPack do not intend to implement of Tensor and Ops, but instead use this as
common bridge to reuse tensor and ops across frameworks.
Description-md5: 6b209db50a5265593b8ed7e53f2b410d