NCNN

ncnn

License Download Total Count codecov Language grade: C/C++

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.

ncnn 是一个为手机端极致优化的高性能神经网络前向计算框架。 ncnn 从设计之初深刻考虑手机端的部署和使用。 无第三方依赖，跨平台，手机端 cpu 的速度快于目前所有已知的开源框架。 基于 ncnn，开发者能够将深度学习算法轻松移植到手机端高效执行， 开发出人工智能 APP，将 AI 带到你的指尖。 ncnn 目前已在腾讯多款应用中使用，如：QQ，Qzone，微信，天天 P 图等。

技术交流 QQ 群：637093648 (超多大佬) 答案：卷卷卷卷卷 （已满）

Pocky QQ 群（MLIR YES!）: 677104663(超多大佬) 答案：multi-level intermediate representation

Telegram Group https://t.me/ncnnyes

Discord Channel https://discord.gg/YRsxgmF

Current building status matrix

System CPU (32bit) CPU (64bit) GPU (32bit) GPU (64bit)
Linux (GCC) Build Status Build Status — Build Status
Linux (Clang) Build Status Build Status — Build Status
Linux (ARM) Build Status Build Status — —
Linux (MIPS) Build Status Build Status — —
Linux (RISC-V) — Build Status — —
Linux (LoongArch) — Build Status — —
Windows Build Status Build Status — Build Status
Windows (ARM) Build Status Build Status — —
macOS — Build Status — Build Status
macOS (ARM) — Build Status — Build Status
Android Build Status Build Status Build Status Build Status
Android-x86 Build Status Build Status Build Status Build Status
iOS Build Status Build Status — Build Status
iOS Simulator Build Status Build Status — —
WebAssembly Build Status — — —
RISC-V GCC/Newlib Build Status Build Status — —

Support most commonly used CNN network

支持大部分常用的 CNN 网络

HowTo

how to build ncnn library on Linux / Windows / macOS / Raspberry Pi3 / Android / NVIDIA Jetson / iOS / WebAssembly / AllWinner D1 / Loongson 2K1000

download prebuild binary package for android and ios

use ncnn with alexnet with detailed steps, recommended for beginners :)

ncnn 组件使用指北 alexnet 附带详细步骤，新人强烈推荐 :)

use netron for ncnn model visualization

out-of-the-box web model conversion

ncnn low-level operation api

ncnn param and model file spec

ncnn operation param weight table

how to implement custom layer step by step

FAQ

ncnn throw error

ncnn produce wrong result

ncnn vulkan

Features

  • Supports convolutional neural networks, supports multiple input and multi-branch structure, can calculate part of the branch
  • No third-party library dependencies, does not rely on BLAS / NNPACK or any other computing framework
  • Pure C++ implementation, cross-platform, supports Android, iOS and so on
  • ARM NEON assembly level of careful optimization, calculation speed is extremely high
  • Sophisticated memory management and data structure design, very low memory footprint
  • Supports multi-core parallel computing acceleration, ARM big.LITTLE CPU scheduling optimization
  • Supports GPU acceleration via the next-generation low-overhead Vulkan API
  • Extensible model design, supports 8bit quantization and half-precision floating point storage, can import caffe/pytorch/mxnet/onnx/darknet/keras/tensorflow(mlir) models
  • Support direct memory zero copy reference load network model
  • Can be registered with custom layer implementation and extended
  • Well, it is strong, not afraid of being stuffed with 卷 QvQ

功能概述

  • 支持卷积神经网络，支持多输入和多分支结构，可计算部分分支
  • 无任何第三方库依赖，不依赖 BLAS/NNPACK 等计算框架
  • 纯 C++ 实现，跨平台，支持 Android / iOS 等
  • ARM Neon 汇编级良心优化，计算速度极快
  • 精细的内存管理和数据结构设计，内存占用极低
  • 支持多核并行计算加速，ARM big.LITTLE CPU 调度优化
  • 支持基于全新低消耗的 Vulkan API GPU 加速
  • 可扩展的模型设计，支持 8bit 量化 和半精度浮点存储，可导入 caffe/pytorch/mxnet/onnx/darknet/keras/tensorflow(mlir) 模型
  • 支持直接内存零拷贝引用加载网络模型
  • 可注册自定义层实现并扩展
  • 恩，很强就是了，不怕被塞卷 QvQ

supported platform matrix

  • ✅ = known work and runs fast with good optimization
  • ✔️ = known work, but speed may not be fast enough
  • ❔ = shall work, not confirmed
  • / = not applied
Windows Linux Android macOS iOS
intel-cpu ✔️ ✔️ ❔ ✔️ /
intel-gpu ✔️ ✔️ ❔ ❔ /
amd-cpu ✔️ ✔️ ❔ ✔️ /
amd-gpu ✔️ ✔️ ❔ ❔ /
nvidia-gpu ✔️ ✔️ ❔ ❔ /
qcom-cpu ❔ ✔️ ✅ / /
qcom-gpu ❔ ✔️ ✔️ / /
arm-cpu ❔ ❔ ✅ / /
arm-gpu ❔ ❔ ✔️ / /
apple-cpu / / / ✔️ ✅
apple-gpu / / / ✔️ ✔️

Project examples


License

BSD 3 Clause

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.0.20260526)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for nihui from gravatar.com nihui

Credits

Author: nihui

Maintainer: caishanli

License

BSD License (BSD-3)

Requires

Python >=3.5

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.0.20260526)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for nihui from gravatar.com nihui

Credits

Author: nihui

Maintainer: caishanli

License

BSD License (BSD-3)

Requires

Python >=3.5

Classifiers

Report project as malware

Release files for ncnn 1.0.20221128

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ncnn 1.0.20221128
File Size Uploaded
ncnn-1.0.20221128.tar.gz 40.6 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for ncnn 1.0.20221128
File
ncnn-1.0.20221128-pp39-pypy39_pp73-win_amd64.whl 2.0 MB PyPy 3.9 PyPy 3.9 7.3 Windows x86-64 Details
ncnn-1.0.20221128-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.5 MB PyPy 3.9 PyPy 3.9 7.3 Linux glibc 2.17+ x86-64 Details
ncnn-1.0.20221128-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl 3.4 MB PyPy 3.9 PyPy 3.9 7.3 Linux glibc 2.17+ x86-32 Details
ncnn-1.0.20221128-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.9 MB PyPy 3.9 PyPy 3.9 7.3 Linux glibc 2.17+ ARM64 Details
ncnn-1.0.20221128-pp38-pypy38_pp73-win_amd64.whl 2.0 MB PyPy 3.8 PyPy 3.8 7.3 Windows x86-64 Details
ncnn-1.0.20221128-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.5 MB PyPy 3.8 PyPy 3.8 7.3 Linux glibc 2.17+ x86-64 Details
ncnn-1.0.20221128-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl 3.4 MB PyPy 3.8 PyPy 3.8 7.3 Linux glibc 2.17+ x86-32 Details
ncnn-1.0.20221128-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.9 MB PyPy 3.8 PyPy 3.8 7.3 Linux glibc 2.17+ ARM64 Details
ncnn-1.0.20221128-pp37-pypy37_pp73-win_amd64.whl 2.0 MB PyPy 3.7 PyPy 3.7 7.3 Windows x86-64 Details
ncnn-1.0.20221128-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.5 MB PyPy 3.7 PyPy 3.7 7.3 Linux glibc 2.17+ x86-64 Details
ncnn-1.0.20221128-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl 3.4 MB PyPy 3.7 PyPy 3.7 7.3 Linux glibc 2.17+ x86-32 Details
ncnn-1.0.20221128-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.9 MB PyPy 3.7 PyPy 3.7 7.3 Linux glibc 2.17+ ARM64 Details
ncnn-1.0.20221128-cp311-cp311-win_arm64.whl 665.7 kB CPython 3.11 CPython 3.11 Windows ARM64 Details
ncnn-1.0.20221128-cp311-cp311-win_amd64.whl 2.0 MB CPython 3.11 CPython 3.11 Windows x86-64 Details
ncnn-1.0.20221128-cp311-cp311-win32.whl 1.8 MB CPython 3.11 CPython 3.11 Windows x86-32 Details
ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_x86_64.whl 3.9 MB CPython 3.11 CPython 3.11 Linux musl 1.1+ x86-64 Details
ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_s390x.whl 1.3 MB CPython 3.11 CPython 3.11 Linux musl 1.1+ IBM System/390x Details
ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_ppc64le.whl 1.5 MB CPython 3.11 CPython 3.11 Linux musl 1.1+ PowerPC 64-le Details
ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_i686.whl 4.0 MB CPython 3.11 CPython 3.11 Linux musl 1.1+ x86-32 Details
ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_aarch64.whl 2.4 MB CPython 3.11 CPython 3.11 Linux musl 1.1+ ARM64 Details
ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.5 MB CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl 759.6 kB CPython 3.11 CPython 3.11 Linux glibc 2.17+ IBM System/390x Details
ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 958.5 kB CPython 3.11 CPython 3.11 Linux glibc 2.17+ PowerPC 64-le Details
ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl 3.4 MB CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-32 Details
ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.9 MB CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
ncnn-1.0.20221128-cp310-cp310-win_arm64.whl 665.7 kB CPython 3.10 CPython 3.10 Windows ARM64 Details
ncnn-1.0.20221128-cp310-cp310-win_amd64.whl 2.0 MB CPython 3.10 CPython 3.10 Windows x86-64 Details
ncnn-1.0.20221128-cp310-cp310-win32.whl 1.8 MB CPython 3.10 CPython 3.10 Windows x86-32 Details
ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_x86_64.whl 3.9 MB CPython 3.10 CPython 3.10 Linux musl 1.1+ x86-64 Details
ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_s390x.whl 1.3 MB CPython 3.10 CPython 3.10 Linux musl 1.1+ IBM System/390x Details
ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_ppc64le.whl 1.5 MB CPython 3.10 CPython 3.10 Linux musl 1.1+ PowerPC 64-le Details
ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_i686.whl 4.0 MB CPython 3.10 CPython 3.10 Linux musl 1.1+ x86-32 Details
ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_aarch64.whl 2.4 MB CPython 3.10 CPython 3.10 Linux musl 1.1+ ARM64 Details
ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.5 MB CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl 759.8 kB CPython 3.10 CPython 3.10 Linux glibc 2.17+ IBM System/390x Details
ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 958.5 kB CPython 3.10 CPython 3.10 Linux glibc 2.17+ PowerPC 64-le Details
ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl 3.4 MB CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-32 Details
ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.9 MB CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
ncnn-1.0.20221128-cp39-cp39-win_arm64.whl 667.2 kB CPython 3.9 CPython 3.9 Windows ARM64 Details
ncnn-1.0.20221128-cp39-cp39-win_amd64.whl 2.0 MB CPython 3.9 CPython 3.9 Windows x86-64 Details
ncnn-1.0.20221128-cp39-cp39-win32.whl 1.8 MB CPython 3.9 CPython 3.9 Windows x86-32 Details
ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_x86_64.whl 3.9 MB CPython 3.9 CPython 3.9 Linux musl 1.1+ x86-64 Details
ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_s390x.whl 1.3 MB CPython 3.9 CPython 3.9 Linux musl 1.1+ IBM System/390x Details
ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_ppc64le.whl 1.5 MB CPython 3.9 CPython 3.9 Linux musl 1.1+ PowerPC 64-le Details
ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_i686.whl 4.0 MB CPython 3.9 CPython 3.9 Linux musl 1.1+ x86-32 Details
ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_aarch64.whl 2.4 MB CPython 3.9 CPython 3.9 Linux musl 1.1+ ARM64 Details
ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.5 MB CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl 759.6 kB CPython 3.9 CPython 3.9 Linux glibc 2.17+ IBM System/390x Details
ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 958.5 kB CPython 3.9 CPython 3.9 Linux glibc 2.17+ PowerPC 64-le Details
ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl 3.4 MB CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-32 Details
ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.9 MB CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details
ncnn-1.0.20221128-cp38-cp38-win_amd64.whl 2.0 MB CPython 3.8 CPython 3.8 Windows x86-64 Details
ncnn-1.0.20221128-cp38-cp38-win32.whl 1.8 MB CPython 3.8 CPython 3.8 Windows x86-32 Details
ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_x86_64.whl 3.9 MB CPython 3.8 CPython 3.8 Linux musl 1.1+ x86-64 Details
ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_s390x.whl 1.3 MB CPython 3.8 CPython 3.8 Linux musl 1.1+ IBM System/390x Details
ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_ppc64le.whl 1.5 MB CPython 3.8 CPython 3.8 Linux musl 1.1+ PowerPC 64-le Details
ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_i686.whl 4.0 MB CPython 3.8 CPython 3.8 Linux musl 1.1+ x86-32 Details
ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_aarch64.whl 2.4 MB CPython 3.8 CPython 3.8 Linux musl 1.1+ ARM64 Details
ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.5 MB CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-64 Details
ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl 758.8 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ IBM System/390x Details
ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 957.4 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ PowerPC 64-le Details
ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl 3.4 MB CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-32 Details
ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.9 MB CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARM64 Details
ncnn-1.0.20221128-cp37-cp37m-win_amd64.whl 2.0 MB CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
ncnn-1.0.20221128-cp37-cp37m-win32.whl 1.8 MB CPython 3.7 CPython 3.7 pymalloc Windows x86-32 Details
ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_x86_64.whl 3.9 MB CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-64 Details
ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_s390x.whl 1.4 MB CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ IBM System/390x Details
ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_ppc64le.whl 1.5 MB CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ PowerPC 64-le Details
ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_i686.whl 4.1 MB CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-32 Details
ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_aarch64.whl 2.4 MB CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ ARM64 Details
ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.5 MB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 Details
ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl 771.9 kB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ IBM System/390x Details
ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 971.2 kB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ PowerPC 64-le Details
ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl 3.5 MB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-32 Details
ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.9 MB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 Details
ncnn-1.0.20221128-cp36-cp36m-win_amd64.whl 2.0 MB CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details
ncnn-1.0.20221128-cp36-cp36m-win32.whl 1.8 MB CPython 3.6 CPython 3.6 pymalloc Windows x86-32 Details
ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_x86_64.whl 3.9 MB CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-64 Details
ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_s390x.whl 1.4 MB CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ IBM System/390x Details
ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_ppc64le.whl 1.5 MB CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ PowerPC 64-le Details
ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_i686.whl 4.1 MB CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-32 Details
ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_aarch64.whl 2.4 MB CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ ARM64 Details
ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3.5 MB CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 Details
ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl 772.1 kB CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ IBM System/390x Details
ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 971.2 kB CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ PowerPC 64-le Details
ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl 3.5 MB CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-32 Details
ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.9 MB CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ ARM64 Details

Total release size: 199.5 MB

Release files / ncnn-1.0.20221128.tar.gz

Download URL ncnn-1.0.20221128.tar.gz
Size 40.6 kB
Tags Source
SHA-256 checksum
How to use checksums 		3391c785d5fa51b23a55997f46f968e3d84b5b29654f064aecad6aeaccf60fa3
BLAKE2b-256 checksum
How to use checksums 		b0b27e52c8439953901fb20d4a1c0237cf8b0086d7267d16b460f62af638c6c9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp39-pypy39_pp73-win_amd64.whl

Download URL ncnn-1.0.20221128-pp39-pypy39_pp73-win_amd64.whl
Size 2.0 MB
Tags PyPy 3.9 PyPy 3.9 7.3 Windows x86-64
SHA-256 checksum
How to use checksums 		6c7752053c46411bbb063ea5e51d85e74059cab1c2a26337e55ef9e2c2a34cb7
BLAKE2b-256 checksum
How to use checksums 		ff5f3879b3bc8ffe8f897e3ad187120d97fda08a03e0ac70ad98a15564db051e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ncnn-1.0.20221128-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 3.5 MB
Tags Linux glibc 2.17+ x86-64 PyPy 3.9 PyPy 3.9 7.3
SHA-256 checksum
How to use checksums 		53b8a1595a667af97730f684cc27286a87527348a47c257be50bea330788cf8b
BLAKE2b-256 checksum
How to use checksums 		89f8653f9cbd162a5a7913ead067d86e77c012a49f3a3f501b4556488436876c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL ncnn-1.0.20221128-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Size 3.4 MB
Tags Linux glibc 2.17+ x86-32 PyPy 3.9 PyPy 3.9 7.3
SHA-256 checksum
How to use checksums 		66a4baa97693ee69a11a006ebc5efc1dc32976393252fa19685e1299d6cd8980
BLAKE2b-256 checksum
How to use checksums 		7c6c78c1b072edc67ed6c046a2d9b1cefc2f45239c33c42be26108e410588fa7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL ncnn-1.0.20221128-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.9 MB
Tags Linux glibc 2.17+ ARM64 PyPy 3.9 PyPy 3.9 7.3
SHA-256 checksum
How to use checksums 		c0f6085a7512aca1d0ebb10c8806acaae4e9a281b52e7bca9e04972fa29f7dde
BLAKE2b-256 checksum
How to use checksums 		4df15d04fbcbee015b7b3bf7eced8043d1eed6eb0312b170234f07ccb51d2d1d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp38-pypy38_pp73-win_amd64.whl

Download URL ncnn-1.0.20221128-pp38-pypy38_pp73-win_amd64.whl
Size 2.0 MB
Tags PyPy 3.8 PyPy 3.8 7.3 Windows x86-64
SHA-256 checksum
How to use checksums 		1b64018fdf64d8b41af500a510ec3d0bfb77909b6f2f5f0d0544fe0d55a133fd
BLAKE2b-256 checksum
How to use checksums 		217b40b5d67c1a266d34459849210261edf5caa4612b6f8e524a069804cae8d2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ncnn-1.0.20221128-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 3.5 MB
Tags Linux glibc 2.17+ x86-64 PyPy 3.8 PyPy 3.8 7.3
SHA-256 checksum
How to use checksums 		e6987e421bafb0a3c7f78f1a395e4502bfe0863792a2b4123ec4e59373611ea7
BLAKE2b-256 checksum
How to use checksums 		0437e85a0f5109f0b31bdbc0520315a2b95be91919eae46e9123bb6f9aaf444b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL ncnn-1.0.20221128-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Size 3.4 MB
Tags Linux glibc 2.17+ x86-32 PyPy 3.8 PyPy 3.8 7.3
SHA-256 checksum
How to use checksums 		e47f5a30c516352aab3f3e16a15f4ae2ef3acf659bea8d58edb440286c3293d8
BLAKE2b-256 checksum
How to use checksums 		677926b93b8f59d728732ab50af4b5ec8d66dbca9cbb0b08a4d028b4109ee2e8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL ncnn-1.0.20221128-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.9 MB
Tags Linux glibc 2.17+ ARM64 PyPy 3.8 PyPy 3.8 7.3
SHA-256 checksum
How to use checksums 		fb30c3fd6cd3c69fd818bbb1f2fb2cab95d0f8c8eb232d9995af895a4202c5ae
BLAKE2b-256 checksum
How to use checksums 		3d2e0b84f494739b9c292ff93d75be6e3e0583098cd1b3b9954a07d327fedf0c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp37-pypy37_pp73-win_amd64.whl

Download URL ncnn-1.0.20221128-pp37-pypy37_pp73-win_amd64.whl
Size 2.0 MB
Tags PyPy 3.7 PyPy 3.7 7.3 Windows x86-64
SHA-256 checksum
How to use checksums 		85efacc4e1fcecdc07b24a3f81f3c8e3988bd99bf6eb6fcf69173230e4aad2f8
BLAKE2b-256 checksum
How to use checksums 		a32077ceb587fef8c7f0b60c734dfc50da9d3727876db8bda4be5ebae9d5f9d0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ncnn-1.0.20221128-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 3.5 MB
Tags Linux glibc 2.17+ x86-64 PyPy 3.7 PyPy 3.7 7.3
SHA-256 checksum
How to use checksums 		9a84129588dc7556b8a9ccf47423637d1cea71da403e886422c995357aa26533
BLAKE2b-256 checksum
How to use checksums 		f117eff5ee9c3b2ece5d257dd554527efadbcf77a252408915f93a6631418845
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL ncnn-1.0.20221128-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Size 3.4 MB
Tags Linux glibc 2.17+ x86-32 PyPy 3.7 PyPy 3.7 7.3
SHA-256 checksum
How to use checksums 		d1eeeab9015769bb8c4923865a13f054d1b34d6c9dedb459712927072f9fa23d
BLAKE2b-256 checksum
How to use checksums 		bb14c1b5fec7691d23333ba37af5fcfa4a964b0fa1ac844639abf978e082ed2e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL ncnn-1.0.20221128-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.9 MB
Tags Linux glibc 2.17+ ARM64 PyPy 3.7 PyPy 3.7 7.3
SHA-256 checksum
How to use checksums 		aabd8d1c6ed17e47c4533d034216c02ce20abb43b97f2b7affdf78604b333852
BLAKE2b-256 checksum
How to use checksums 		a9cd06e74a99146a39fa7ed776a28dd82ac2042de63a336d62f9b15cf681293d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-win_arm64.whl

Download URL ncnn-1.0.20221128-cp311-cp311-win_arm64.whl
Size 665.7 kB
Tags CPython 3.11 Windows ARM64
SHA-256 checksum
How to use checksums 		85ecce0953619c075679d119d8ca5b555ff7122a136ea43fcaf1f013fd0c1933
BLAKE2b-256 checksum
How to use checksums 		95d59317b75f4bcd7c08044aafb527f459bc6ef0f1801f0614907e87f0d76209
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-win_amd64.whl

Download URL ncnn-1.0.20221128-cp311-cp311-win_amd64.whl
Size 2.0 MB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums 		fce9cdd9e7493e76f4bfaf8798e930e632a20c82a511f433d18d49a02aff841c
BLAKE2b-256 checksum
How to use checksums 		b5312340898717858085b03da8bc19686b878e691e79cb0ff0f546e3a4dc14e0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-win32.whl

Download URL ncnn-1.0.20221128-cp311-cp311-win32.whl
Size 1.8 MB
Tags CPython 3.11 Windows x86-32
SHA-256 checksum
How to use checksums 		5de71d3c67e39846c5447d7610a003ffdbd5f30212f41e967bff12e3510c54c2
BLAKE2b-256 checksum
How to use checksums 		a637af3104f43343cfe3a9e03d9935e49e1d97d6ffdbd6e0ac304d59b5453427
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_x86_64.whl

Download URL ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_x86_64.whl
Size 3.9 MB
Tags CPython 3.11 Linux musl 1.1+ x86-64
SHA-256 checksum
How to use checksums 		ccb76b8339d165a52520606c70734a62b9c25383f1bfe95ea348ba4f076742cb
BLAKE2b-256 checksum
How to use checksums 		a0e7b41fac328ae7d60c448dab69528263f6dc2ac0766318413751fdbc4d872f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_s390x.whl

Download URL ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_s390x.whl
Size 1.3 MB
Tags CPython 3.11 Linux musl 1.1+ IBM System/390x
SHA-256 checksum
How to use checksums 		fbc588f564bd4fcbec44a7e434ebdfe028b526056d454556712085b140de4c4a
BLAKE2b-256 checksum
How to use checksums 		3bed7b1d93a7ff266e7750fff09e7a35ffe75823ea7a32dfc3656a1f158f003c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_ppc64le.whl

Download URL ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_ppc64le.whl
Size 1.5 MB
Tags CPython 3.11 Linux musl 1.1+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		a2da8f7129aafa11814530c83b428b05d2deacdb0ed14aea32e1613b1e3ecd47
BLAKE2b-256 checksum
How to use checksums 		fe51655e26cfde4b9c62ab175627e37a113c29a57ce8f3e0a14937cc406783b8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_i686.whl

Download URL ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_i686.whl
Size 4.0 MB
Tags CPython 3.11 Linux musl 1.1+ x86-32
SHA-256 checksum
How to use checksums 		2a7f9ef6d25fbd08649928c7540f041c0870e8e860bde925dfd2349ab47dc035
BLAKE2b-256 checksum
How to use checksums 		35320666a67b46cc5a2405f05c84833b396dd5e9fb5e5b97245e2852cc9139b3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_aarch64.whl

Download URL ncnn-1.0.20221128-cp311-cp311-musllinux_1_1_aarch64.whl
Size 2.4 MB
Tags CPython 3.11 Linux musl 1.1+ ARM64
SHA-256 checksum
How to use checksums 		f08672508374f990a1021de4956ea4407527492f4fcd3ff19cc3685583f10533
BLAKE2b-256 checksum
How to use checksums 		7dfb7145ad367573e623397b6c35b09919d6ad93614ce018c3e592dbde7a5f8e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 3.5 MB
Tags CPython 3.11 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums 		71b4a8336c066a298ae96a7cfc6642467be3fad36094dc6fbd4d5c95f068bf98
BLAKE2b-256 checksum
How to use checksums 		0b2d89dce99a048e4fe6c7e86610cce21e7c6d13859678dd865cb2805d0585c0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl

Download URL ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Size 759.6 kB
Tags CPython 3.11 Linux glibc 2.17+ IBM System/390x
SHA-256 checksum
How to use checksums 		f809a84b75cc038dbf1ba3d7d7349d292111163e9823b38d09c0e4698e1240c6
BLAKE2b-256 checksum
How to use checksums 		5c135662c7a4f057be5e3667a88b928cfbac32bc5203be1265666ace22687865
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Download URL ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Size 958.5 kB
Tags CPython 3.11 Linux glibc 2.17+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		961a6d75c74bb533c1c74cd1b57bf71364a0663db09f77c96c688e04868a462b
BLAKE2b-256 checksum
How to use checksums 		6094aa8ba438bf94029a8e943098f471961843afe1d2fc2cb45ac8a306892dc3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Size 3.4 MB
Tags CPython 3.11 Linux glibc 2.17+ x86-32
SHA-256 checksum
How to use checksums 		e2e3923db563a650d1f0b5b260e62a607cc2999bd5a719a682ff50da87dc7bb8
BLAKE2b-256 checksum
How to use checksums 		79e2ede36b249a08c49309eff1d18eaffe4a100db8140655524953503dc27ca8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL ncnn-1.0.20221128-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.9 MB
Tags CPython 3.11 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums 		3e6af099c9f3814279ab3d7428bdb9e242c1f002335b6f9b64431565e8fbbceb
BLAKE2b-256 checksum
How to use checksums 		ea44c926d188cc9d3b058322a4443b64dee22ad0ef11bdecbbec63da5d0117fd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-win_arm64.whl

Download URL ncnn-1.0.20221128-cp310-cp310-win_arm64.whl
Size 665.7 kB
Tags CPython 3.10 Windows ARM64
SHA-256 checksum
How to use checksums 		73d56eb49b371df059374d696d15f56368ca48fd42e40d5ba2a33df73a15448e
BLAKE2b-256 checksum
How to use checksums 		a3cc7a55fcac59bfbd24d155979e8ff65d8d8e74851f260deaf90de67675bbbc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-win_amd64.whl

Download URL ncnn-1.0.20221128-cp310-cp310-win_amd64.whl
Size 2.0 MB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums 		ca969e3961a47f1644f5c43b60fd835dee43f6c365829336cc5b25dac4724708
BLAKE2b-256 checksum
How to use checksums 		e6fbf09b922de5bb2482212932d913a1d2a4d086787fce6db999b2f9e0ea46c3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-win32.whl

Download URL ncnn-1.0.20221128-cp310-cp310-win32.whl
Size 1.8 MB
Tags CPython 3.10 Windows x86-32
SHA-256 checksum
How to use checksums 		66c08b71606a6f73232614503e03330c4622ef96d72e8d4dc765c0045139a2ca
BLAKE2b-256 checksum
How to use checksums 		d1f455d9b9be0b3c770542edfaa36b9a5a3381c904f7cd5a60da2dec2422985f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_x86_64.whl

Download URL ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_x86_64.whl
Size 3.9 MB
Tags CPython 3.10 Linux musl 1.1+ x86-64
SHA-256 checksum
How to use checksums 		b20bdfb0e9642540d3ce7a950212ec87881be547fd02ab89801e4045e578656b
BLAKE2b-256 checksum
How to use checksums 		8e67f1ecbe0f715d01ddf64d35d59188d058e70fd11bd1b0dc30fd4424dc5a8f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_s390x.whl

Download URL ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_s390x.whl
Size 1.3 MB
Tags CPython 3.10 Linux musl 1.1+ IBM System/390x
SHA-256 checksum
How to use checksums 		66a5f112209a709a6d85c548da7b6c0656bc227e3470095221df621482ff1e4a
BLAKE2b-256 checksum
How to use checksums 		9391a6e1eb4137d202bc6c3b58786b58ede81f2005eba3a5ee3760b231b45b57
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_ppc64le.whl

Download URL ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_ppc64le.whl
Size 1.5 MB
Tags CPython 3.10 Linux musl 1.1+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		a7f1e294a46e6d9d296bc0f98037fd306b449c28520de50c33c54d5625f5eb89
BLAKE2b-256 checksum
How to use checksums 		ec7cb2b0faef44758a7082a23b5b866472b726b9c1efc4aaf13a6a75a97d9855
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_i686.whl

Download URL ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_i686.whl
Size 4.0 MB
Tags CPython 3.10 Linux musl 1.1+ x86-32
SHA-256 checksum
How to use checksums 		10f1be7df1725a786d65c80efab624150ffeb22ce71926c3de92c74562f47c7d
BLAKE2b-256 checksum
How to use checksums 		ef76f152b9d66c8f9bd1875fdec056aa88f44a0dd122036ac8f2d06c657421ed
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_aarch64.whl

Download URL ncnn-1.0.20221128-cp310-cp310-musllinux_1_1_aarch64.whl
Size 2.4 MB
Tags CPython 3.10 Linux musl 1.1+ ARM64
SHA-256 checksum
How to use checksums 		6ea334eb2f05c17c6fa7fb23cb6f5697409932cbb47002a29d5a439d9136a853
BLAKE2b-256 checksum
How to use checksums 		26a769805eff45d6a4d6dd35682c80eaca453f0de98ee68ec23c66320ceb53d0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 3.5 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums 		14de97b14d55324748f362c98b8ec39c7c9c933024760214c73cfdc03e040efd
BLAKE2b-256 checksum
How to use checksums 		a51bae4dc72af155baf980151eef8e3233bb7c9bde3e16078e19e7c0ad136bf6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl

Download URL ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Size 759.8 kB
Tags CPython 3.10 Linux glibc 2.17+ IBM System/390x
SHA-256 checksum
How to use checksums 		834754e055327b18db3a0c8e2bc1294e15c0bcf950fe0ff4b590e134739c7062
BLAKE2b-256 checksum
How to use checksums 		b69c7ab93feb3a801de3de1bd28bc96c7313bd50def0230e735c36ad340bd180
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Download URL ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Size 958.5 kB
Tags CPython 3.10 Linux glibc 2.17+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		5f7cd2b7a399ce3dc05ab1836db3084f325201602a653860d64548600e8f0fc9
BLAKE2b-256 checksum
How to use checksums 		4de36e34b5a5cd5848fb832ff4e247e4707f3ba085b368a6d8ee6411f406175f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Size 3.4 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-32
SHA-256 checksum
How to use checksums 		4d53cc762a309a7b8d50698b52c5e9e834ae6be45154eaba96240e81c6513b50
BLAKE2b-256 checksum
How to use checksums 		b0fca0fdf925bc2c0bd0de3fd967bd2417a5e07bb70e8d40dc5d61de8663753c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL ncnn-1.0.20221128-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.9 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums 		5ff6c38356feabca6765098d375cd61b72294aa82237404202a5134641a29e15
BLAKE2b-256 checksum
How to use checksums 		8e92ea0e51d35006678e026eff7e6e91fbcf39a269c1a44613861a792ed83b28
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-win_arm64.whl

Download URL ncnn-1.0.20221128-cp39-cp39-win_arm64.whl
Size 667.2 kB
Tags CPython 3.9 Windows ARM64
SHA-256 checksum
How to use checksums 		fb88088e02c8d8f277befe7bb17e59e2c1f9c4d33cdc9d055865847c65ade851
BLAKE2b-256 checksum
How to use checksums 		a9928b80700cf0d1f620f6d4292faa8566633ae2c071c8b544240a6f7fec48fd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-win_amd64.whl

Download URL ncnn-1.0.20221128-cp39-cp39-win_amd64.whl
Size 2.0 MB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums 		b2f118faa0e94403d3d5291a68c16fb665aec569d41206a0a9dbec95b9878748
BLAKE2b-256 checksum
How to use checksums 		40a3a45e9ec392885d7e4cb7996b8674d7966ac572d85d9aa0bcabea62ec4eba
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-win32.whl

Download URL ncnn-1.0.20221128-cp39-cp39-win32.whl
Size 1.8 MB
Tags CPython 3.9 Windows x86-32
SHA-256 checksum
How to use checksums 		87642fb46a09deaff445128fabb915e6dd7a714b36d0fe110c5edd7200618ada
BLAKE2b-256 checksum
How to use checksums 		c287b255ef32ef33a48cb6a9d5325f59857d913bed317aed8e8e2e0d1fa9da3f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_x86_64.whl

Download URL ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_x86_64.whl
Size 3.9 MB
Tags CPython 3.9 Linux musl 1.1+ x86-64
SHA-256 checksum
How to use checksums 		4916057b0dd7b2aa931f57b5d300e0c32c7cf9f3a8e3cbe2a8e208b17ba36a46
BLAKE2b-256 checksum
How to use checksums 		e98ec144d19fdf1fc4abd92d1af48a6eb6194af28864544cb1c16be486402724
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_s390x.whl

Download URL ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_s390x.whl
Size 1.3 MB
Tags CPython 3.9 Linux musl 1.1+ IBM System/390x
SHA-256 checksum
How to use checksums 		7d1e56f421e3902253561906bb92b44ee7cf66b4633fd519db05173d7c0fb2f8
BLAKE2b-256 checksum
How to use checksums 		f7b2a746a475dbc0e1e7576b229f4226abb811866f4f17a0d571e256cfcac817
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_ppc64le.whl

Download URL ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_ppc64le.whl
Size 1.5 MB
Tags CPython 3.9 Linux musl 1.1+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		f9c0b03b72e88b4ae4934b09394b1fdbc786a7c84cba9a5b2a7fad85a42e76d2
BLAKE2b-256 checksum
How to use checksums 		861494526d344840049a40ae8a961f1714923dc1c3259293202cdd60379baf97
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_i686.whl

Download URL ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_i686.whl
Size 4.0 MB
Tags CPython 3.9 Linux musl 1.1+ x86-32
SHA-256 checksum
How to use checksums 		08456bbf35d61fcaa86ce558fdae27be4e00100af5f5d4c84710009eb7ce7568
BLAKE2b-256 checksum
How to use checksums 		4ab8fba0eb8aaa3583cfec7a1e9357d10d23c1ea17c319f9e9c79a6571f5d64d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_aarch64.whl

Download URL ncnn-1.0.20221128-cp39-cp39-musllinux_1_1_aarch64.whl
Size 2.4 MB
Tags CPython 3.9 Linux musl 1.1+ ARM64
SHA-256 checksum
How to use checksums 		26ec59204e3d80c8a86ea0453ef801c79b42abe738dd7b14a35db9263a78f50e
BLAKE2b-256 checksum
How to use checksums 		c561c5accca7141c37209a31dda3936d1a17353486ebeafdf695a191542d0d88
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 3.5 MB
Tags CPython 3.9 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums 		daabe794a35ec3a760a89ded48d2136570611503b4c668c04a8d53ee237902c7
BLAKE2b-256 checksum
How to use checksums 		153660655dd13ede6befe848f90f421db5e25e56d9424d916016a96c11856615
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl

Download URL ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Size 759.6 kB
Tags CPython 3.9 Linux glibc 2.17+ IBM System/390x
SHA-256 checksum
How to use checksums 		6624e611635c1cb9b9253bfbede2baca094b87acedac861a0374c7fdd742a6f0
BLAKE2b-256 checksum
How to use checksums 		85ef32fa1b09496a15e925dc88265db2abe7c210179542b04ca49761b5076483
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Download URL ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Size 958.5 kB
Tags CPython 3.9 Linux glibc 2.17+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		a990974d4ad3435a0673ec8bacfb1b0ab1310baa06a3ede1a464fe3b686c011e
BLAKE2b-256 checksum
How to use checksums 		d33af4cda3f5bb36313cd4a65c33e66dbca7ad2b4c0722f5a6834951ccb2c6d2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Size 3.4 MB
Tags CPython 3.9 Linux glibc 2.17+ x86-32
SHA-256 checksum
How to use checksums 		16f177a07f2267baa6283b084189d360c961fd579de043f7bccd2c27ccf23262
BLAKE2b-256 checksum
How to use checksums 		19b03928cf160cc4018afe89ed110ee827529e1d2a4b299df75bfa993beffcb5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL ncnn-1.0.20221128-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.9 MB
Tags CPython 3.9 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums 		6640df2b12e47fc66e3763a4a0832e2c4a376fa55632998a899f67b5b8760b3b
BLAKE2b-256 checksum
How to use checksums 		e5a6e62332a8b9adbe3e7ea98ee13a7a1e8ea69164a11dce4fc998e9ba9a8027
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-win_amd64.whl

Download URL ncnn-1.0.20221128-cp38-cp38-win_amd64.whl
Size 2.0 MB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums 		7c0e66dfe398f99c8c421a61f7a64e112b950dcb550138e91eeed5c665b37cdd
BLAKE2b-256 checksum
How to use checksums 		37819121a8abc7b04b40bf3cf0cb9941053d2b9d61ea6de3c128d898f45cf035
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-win32.whl

Download URL ncnn-1.0.20221128-cp38-cp38-win32.whl
Size 1.8 MB
Tags CPython 3.8 Windows x86-32
SHA-256 checksum
How to use checksums 		0e5afc1cf0d85032eb7dd0bf5688b6135adf83ca2cd55a96546ee3427ef71d1c
BLAKE2b-256 checksum
How to use checksums 		37a004a7f97b36331b31a5616036329e5889892d25575c6f8d7c0a5b9070450f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_x86_64.whl

Download URL ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_x86_64.whl
Size 3.9 MB
Tags CPython 3.8 Linux musl 1.1+ x86-64
SHA-256 checksum
How to use checksums 		bade2f63254cea7214003d1c06e0c46f87c181389272e0d63930797f4379f13b
BLAKE2b-256 checksum
How to use checksums 		b66bedc15342204a1a64865fee9f82380c8e670091eace14d9b746374ebcee13
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_s390x.whl

Download URL ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_s390x.whl
Size 1.3 MB
Tags CPython 3.8 Linux musl 1.1+ IBM System/390x
SHA-256 checksum
How to use checksums 		3efc40c4200c0220d8019479c6be5d58f7af48a077830d81f98ed7c8b9fe5364
BLAKE2b-256 checksum
How to use checksums 		37816ffae3beaf8bda4da229a262b0f9cf018640084d23fd0911efce225bf441
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_ppc64le.whl

Download URL ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_ppc64le.whl
Size 1.5 MB
Tags CPython 3.8 Linux musl 1.1+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		1bcc6d933aaa7b7864e66d025792072a86d98593f7a656fc9726984114622aee
BLAKE2b-256 checksum
How to use checksums 		489881819033e93b64f2390644230b96a3277da3ee5d07ea4e0730af8e2654ea
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_i686.whl

Download URL ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_i686.whl
Size 4.0 MB
Tags CPython 3.8 Linux musl 1.1+ x86-32
SHA-256 checksum
How to use checksums 		154ff86cdffb9f53d831e3cab95ecd869670428fc7351dbadd53ea3bf8db0c15
BLAKE2b-256 checksum
How to use checksums 		1cb6aaa6259d5e9ba00b64b74c2bfb1ec53c9ef9fac7b826dda2fd03397985b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_aarch64.whl

Download URL ncnn-1.0.20221128-cp38-cp38-musllinux_1_1_aarch64.whl
Size 2.4 MB
Tags CPython 3.8 Linux musl 1.1+ ARM64
SHA-256 checksum
How to use checksums 		fe286d5128316c815be937854da6ca4294619ea99a62810dc054e1af19b521e6
BLAKE2b-256 checksum
How to use checksums 		3139cac5889d8f59ca89aa54a961589e579e234465a987ed6571032f7bae9c58
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 3.5 MB
Tags CPython 3.8 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums 		f3615a35182258b0b501a05aa306de3d4f4f28bfd65a7397bc644b8a2d6a0b14
BLAKE2b-256 checksum
How to use checksums 		04ef2ff9c5ca97d406a666d701a7b21b92de20f3f2ade4415e915d151d2c6b07
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl

Download URL ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Size 758.8 kB
Tags CPython 3.8 Linux glibc 2.17+ IBM System/390x
SHA-256 checksum
How to use checksums 		26084c5b513f03baccb7e5c35fd393595ebc9892a04d4e17bacab91df18bb68c
BLAKE2b-256 checksum
How to use checksums 		494a4b695e25e1a801a9aeacc0650314d1ad63a88f80493ffc2b5e3c8ffeaa5f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Download URL ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Size 957.4 kB
Tags CPython 3.8 Linux glibc 2.17+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		b583c1395ec324689e0d21e64ea009df7be987dd7ceb04d0532e6c17c5181325
BLAKE2b-256 checksum
How to use checksums 		672a043fab7841c3ae481850df2f4fda0eac3557cbc957fc79ab1d0798246774
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Size 3.4 MB
Tags CPython 3.8 Linux glibc 2.17+ x86-32
SHA-256 checksum
How to use checksums 		1827a3f714a66fcc8d554f14a1f8ec3387b239f5eeca11ae79be451bdfad39f2
BLAKE2b-256 checksum
How to use checksums 		f1536bc950c0b1223e7d7a9bb6c98b2a222b8d0b0863b431ed694a54975ef51e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL ncnn-1.0.20221128-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.9 MB
Tags CPython 3.8 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums 		2df854ee29b0433164be8392830b97883142f8949488f073528776183cf7a4e0
BLAKE2b-256 checksum
How to use checksums 		5a56db1b1c1a4b521c4f2f13d28863287a089dfa6dc0a64a2a6b96607875e7ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-win_amd64.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-win_amd64.whl
Size 2.0 MB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums 		bdb645f5a6be380e769ba32160bba25b1182610bcccb5e89fdcb81af8adacbc5
BLAKE2b-256 checksum
How to use checksums 		ee91f1e48f2fb575b7cc6eb4d04706751fabb8add874078abefe92145cd93928
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-win32.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-win32.whl
Size 1.8 MB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums 		b97e6f8f60c9a636d183a5ce547dce575e546bbd6207d72c656e60baf34aa6ba
BLAKE2b-256 checksum
How to use checksums 		edf731b0c55fb6a87492a91e6790c6e54bcfbb278c1907a70b0dd5118730aa58
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_x86_64.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_x86_64.whl
Size 3.9 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-64
SHA-256 checksum
How to use checksums 		b3a015eb593f2427730ae3db3c03e6b00844f6e4e9ad251021a169002581fd32
BLAKE2b-256 checksum
How to use checksums 		f08e7323a8c2737984efaf0a9f0be0cb78a612860ee6f88ce6fd2d7e0d7ce0b7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_s390x.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_s390x.whl
Size 1.4 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ IBM System/390x
SHA-256 checksum
How to use checksums 		c5a8d050cda0347e3fbc96948ad0a6135152d0b6da00dd3a7dcdaf28b645c102
BLAKE2b-256 checksum
How to use checksums 		625270f61a26e526afee4c7351b756005baba0b3a04beb42610077f8200ff90a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_ppc64le.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_ppc64le.whl
Size 1.5 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		e3ca2bcae913c50f7b799fa6e09b1cd3bbca246452aaaf4f79817d83633a0e76
BLAKE2b-256 checksum
How to use checksums 		3ed3ca5c5bf2d207784f669525f3153a509bf8133c46af0f4c4473370263d014
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_i686.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_i686.whl
Size 4.1 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-32
SHA-256 checksum
How to use checksums 		8428d5912abaadc00a0ae2ae169418ffdedc89d60ad7930d978f37114e11f5f5
BLAKE2b-256 checksum
How to use checksums 		7cf0fd402d8c17a17b78339a5fd7bda637379b56870009e1ba0ca3cb824bbe42
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_aarch64.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-musllinux_1_1_aarch64.whl
Size 2.4 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ ARM64
SHA-256 checksum
How to use checksums 		fa7b21284c76ff941bb7d31688f52307abffd9d1909aab47d6479ca00aa8ab69
BLAKE2b-256 checksum
How to use checksums 		0628f7b76ef9dcbb5f56ce052fdd7becbc70dce5d42e3f9b1acfe9f5011fc2f3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 3.5 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums 		06bf6e7d35caa39b6bf43b18c4bb389a8b13453a3f1e1d188dece1c39d3142b5
BLAKE2b-256 checksum
How to use checksums 		7e9825bd9687ce9e73e7b2314e8c41175f90b45c4d69ce95281f7316972de1c4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Size 771.9 kB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ IBM System/390x
SHA-256 checksum
How to use checksums 		acd82e25dc4a1544042dcc88191d46b963643182a9c1292e5eddb5ac63c558e2
BLAKE2b-256 checksum
How to use checksums 		ddf84b72169d03fb26efb4cf681928f1d388715b55727659e76d20e3c2f0e1fe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Size 971.2 kB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		d58d9cae27744a05c78bf441b13edd49b9a63374d83bba3e00de5b1f3220af00
BLAKE2b-256 checksum
How to use checksums 		a609013a6aa4c40a95ba461a7bf1e7a41bf336a4d8a49188c4cc248070ad852c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Size 3.5 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-32
SHA-256 checksum
How to use checksums 		724dbcfa3f97d0b0c8ea6326c94eddc36bebf5763c30bf553a2ac9a79f6801f4
BLAKE2b-256 checksum
How to use checksums 		7a55b577fff528366c4c9fee632f5f2d62b46afd23efffabd56a5eca4a3349d0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL ncnn-1.0.20221128-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.9 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums 		eb5a654c9d8239ca640ed7fa7621101edf30f51fe26c2e8d376d10c1b08f513d
BLAKE2b-256 checksum
How to use checksums 		92b8e38ea98f8f77d900ff8cab2f89d4657278b2015c282be1452804b4ba4cf0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-win_amd64.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-win_amd64.whl
Size 2.0 MB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums 		ab6fb3852751043e3bca4a30fa09d9c5acfa4982c5e3bd84ed2c438c569bd23e
BLAKE2b-256 checksum
How to use checksums 		6b534bcb4f99790e58717b24e66598ab1c1d59f4debbc4d9ac6b7ab0260f0b0c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-win32.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-win32.whl
Size 1.8 MB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums 		ff412d6723aab55a3109d0457796f04176b462a3121a56e44cc4dbee5b8d7207
BLAKE2b-256 checksum
How to use checksums 		46896bec70763f729395b5ad30d82c094950ad357a5f4ea677dd1179108b03c7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_x86_64.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_x86_64.whl
Size 3.9 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-64
SHA-256 checksum
How to use checksums 		42ae3425936b1fca5a04e5bf4d7ebcf143f8f56abe1e10e95e1093582a54c96f
BLAKE2b-256 checksum
How to use checksums 		432ce46d707502106b53367c4f1470733302d3f84b4245a776ff3e7c6b8e0982
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_s390x.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_s390x.whl
Size 1.4 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ IBM System/390x
SHA-256 checksum
How to use checksums 		009a551c8a9b0a5a8c19326b4a624e1f15f4e14b9b43ca60e27ec4304c5eaa41
BLAKE2b-256 checksum
How to use checksums 		3f8e700244a983cc5437b313aed141e995627ece41855248ca5028ba05848c12
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_ppc64le.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_ppc64le.whl
Size 1.5 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		ae2d2838781fb2a4df03c631481f68ad8dbb93a91cd0bc5587ecad5365e61fce
BLAKE2b-256 checksum
How to use checksums 		d8d0a8df60f782194ae68cb55b43b3acfb51e5e2547dc030853fda5a4d02b121
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_i686.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_i686.whl
Size 4.1 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-32
SHA-256 checksum
How to use checksums 		8753469e95d6827b2de08489592aebc369da13ac3fc015f2a6ae90b5ada7118d
BLAKE2b-256 checksum
How to use checksums 		64154ff91be7506d2aa5b549fe59096eff142d29ea0e40eb1b82f26a4cfe619a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_aarch64.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-musllinux_1_1_aarch64.whl
Size 2.4 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ ARM64
SHA-256 checksum
How to use checksums 		ee7c749bd077978df32bc0e4f84243fa775a6acdee28c458daeddbe69cfc8981
BLAKE2b-256 checksum
How to use checksums 		c189179dc66d563a42747aeed62e50893202c6762d29abb190a342bb3717c22c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 3.5 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums 		0de9c811cb3cb4f59c57df747097782eaf3f4e7dce1f508a52e65252f667452a
BLAKE2b-256 checksum
How to use checksums 		a13f9696fd6e7e1348d6aa27799a819feefca05e6d50a88babf3bc6797b93dd9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Size 772.1 kB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ IBM System/390x
SHA-256 checksum
How to use checksums 		1679054e8c775ca04f167d9ac7ffb87b5b91887d9f03f0c1f601212db91e5611
BLAKE2b-256 checksum
How to use checksums 		1ac5657879e981d05e5cc66fb75366d4dd502f946bf293faf9b2bb4337a0c400
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Size 971.2 kB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ PowerPC 64-le
SHA-256 checksum
How to use checksums 		f96c657b6bf83fb5562760e73e6f6b23a09889f9dad2fd1a713a6d8473500a9d
BLAKE2b-256 checksum
How to use checksums 		2b635d505f4ae7835349ea32a8802428a117173c769211c574250d550cb5a9c4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Size 3.5 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-32
SHA-256 checksum
How to use checksums 		3830da5d69a336a42216b448dd1dedf9c17ebc0dc8ec60d5c27cb2fc5cf19b94
BLAKE2b-256 checksum
How to use checksums 		0d52622df2b2ac6dc73e791ced8eedf7b8a8739bae6fad6518ee87011fab443a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL ncnn-1.0.20221128-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.9 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums 		9b9344e21c348b1bd224b800f2478246f1fe081e486cd0ac5e5245a9ce221ab3
BLAKE2b-256 checksum
How to use checksums 		7d38a86b14603032630f24befac79ef74d60a08cd900ca1cdeeb04cdfa259cf9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/4.0.1 CPython/3.9.15
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page