| ID | 12793 | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Package Name | ncnn | |||||||||||||||
| Links | Fedora Package Sources | Fedora Official Koji Buildsystem | Rocks RISC-V Koji Buildsystem | Fedora RISC-V GitHub | Old Koji Buildsystem | |||||||||||||||
| Version | 20240410 | |||||||||||||||
| Release | 1.fc41 | |||||||||||||||
| Epoch | Draft | False | ||||||||||||||
| Source | git+https://src.fedoraproject.org/rpms/ncnn.git#27b92382b077e0fe2f07d2ebb7cd88624a121151 | |||||||||||||||
| Summary | A high-performance neural network inference framework | |||||||||||||||
| Description | ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply considerate about deployment and uses on mobile phones from the beginning of design. ncnn does not have third party dependencies. It is cross-platform, and runs faster than all known open source frameworks on mobile phone cpu. Developers can easily deploy deep learning algorithm models to the mobile platform by using efficient ncnn implementation, create intelligent APPs, and bring the artificial intelligence to your fingertips. ncnn is currently being used in many Tencent applications, such as QQ, Qzone, WeChat, Pitu and so on. | |||||||||||||||
| Built by | kojiadmin | |||||||||||||||
| State | complete | |||||||||||||||
| Volume | DEFAULT | |||||||||||||||
| Started | Thu, 02 May 2024 09:40:54 CST | |||||||||||||||
| Completed | Thu, 02 May 2024 10:01:00 CST | |||||||||||||||
| Task | build (f41, /rpms/ncnn.git:27b92382b077e0fe2f07d2ebb7cd88624a121151) | |||||||||||||||
| Extra | {'source': {'original_url': 'git+https://src.fedoraproject.org/rpms/ncnn.git#27b92382b077e0fe2f07d2ebb7cd88624a121151'}} | |||||||||||||||
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| Changelog | * Thu Apr 11 2024 Packit <hello@packit.dev> - 20240410-1 - Update to 20240410 upstream release - Resolves: rhbz#2274345 * Wed Mar 20 2024 topazus <topazus@outlook.com> - 20240102-1 - initial import; rhbz#2270377 |