A neural network compiler for AI accelerators

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for sunnycase from gravatar.com sunnycase Avatar for zhangyang2057 from gravatar.com zhangyang2057

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License ( Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR ...)
  • Author: sunnycase
  • Maintainer: sunnycase
  • Tags kendryte, nn, compiler, k210, k510, k230
  • Requires: Python >=3.7
Classifiers
Report project as malware

Project description

nncase

GitHub repository Gitee repository GitHub release

nncase is a neural network compiler for AI accelerators.

nncase 是一个为 AI 加速器设计的神经网络编译器。

技术交流 QQ 群：790699378

Telegram: nncase community

Install from binaries

从二进制安装

Download prebuilt binaries from Release.

下载预编译的二进制文件 Release。

Build from source

从源码编译

Build from source

Supported operators

支持的算子

K210/K510

K230

Resources

资源

K210

Architecture

架构

nncase arch

Features

  • Supports multiple inputs and outputs and multi-branch structure
  • Static memory allocation, no heap memory acquired
  • Operators fusion and optimizations
  • Support float and quantized uint8 inference
  • Support post quantization from float model with calibration dataset
  • Flat model with zero copy loading

功能

  • 支持多输入输出网络，支持多分支结构
  • 静态内存分配，不需要堆内存
  • 算子合并和优化
  • 支持 float 和量化 uint8 推理
  • 支持训练后量化，使用浮点模型和量化校准集
  • 平坦模型，支持零拷贝加载

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for sunnycase from gravatar.com sunnycase Avatar for zhangyang2057 from gravatar.com zhangyang2057

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License ( Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR ...)
  • Author: sunnycase
  • Maintainer: sunnycase
  • Tags kendryte, nn, compiler, k210, k510, k230
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

2.9.0

2.8.3

2.8.2

2.8.1

2.8.0

2.7.0

2.6.0

2.5.1

2.5.0

This version

2.4.0

2.3.0

2.2.0.20230728

2.1.1.20230721

2.1.0.20230703

2.0.0.20230602

1.9.0.20230322

1.8.0.20220929

1.7.1.20220701

1.7.0.20220530

1.6.0.20220505

1.5.0.20220331

1.4.0.20220303

1.3.0.20220127

1.1.0.20211203

1.0.0.20211029

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

nncase-2.4.0-cp310-cp310-win_amd64.whl (19.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

nncase-2.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (30.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

nncase-2.4.0-cp310-cp310-macosx_10_15_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

nncase-2.4.0-cp39-cp39-win_amd64.whl (19.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

nncase-2.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (30.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

nncase-2.4.0-cp39-cp39-macosx_10_15_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

nncase-2.4.0-cp38-cp38-win_amd64.whl (19.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

nncase-2.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (30.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

nncase-2.4.0-cp38-cp38-macosx_10_15_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

nncase-2.4.0-cp37-cp37m-win_amd64.whl (19.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

nncase-2.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (30.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

nncase-2.4.0-cp37-cp37m-macosx_10_15_x86_64.whl (25.1 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

File details

Details for the file nncase-2.4.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: nncase-2.4.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 19.4 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.5

File hashes

Hashes for nncase-2.4.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 2d8221093f9f848cf5a9400f2aa399a2a0765807a85caf58f0244bde4eaee575
MD5 52d4baf8f298e1bdfef365c2b40e2d39
BLAKE2b-256 db36f8835997eb5bf2029c36aaf19b2f4d73a5c848138aa8284a1d1e94461f30

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nncase-2.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 263e45c1a0a2a7aae7e387e1e00bdc3ee818af88283e513564ec1255a3354990
MD5 e65ccdc43685ad770743308fe68725e3
BLAKE2b-256 07573b5520c9dd7590bdec492c483aa9347d6f13c3d981ca32eaea2813e6eaf4

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for nncase-2.4.0-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 ad3ce5dae25f750aa953114742d6d9f5d77801bdd2560e3e42c2126cfbd3467d
MD5 b32dd9708ae1943759869ede6d0e192d
BLAKE2b-256 72c917d27e437957227c52922b17b54dc319289e0310d578f660a5cfd365cf62

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: nncase-2.4.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 19.4 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.5

File hashes

Hashes for nncase-2.4.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 16194dfd1a4add86dc8c3110e113225ef49e1b1ac99351c30aae1a63742dbb7d
MD5 d082153a6e6f81424b9538384bd59f9d
BLAKE2b-256 a02c158d649250de82384dc13ee4572229e180c2ab2129fe1b54f4b88dbaf6c0

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nncase-2.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 398dc5f59af7142bd138b929c161e39c9eff581f29efdd4580560752b671fe7b
MD5 cb6a4ada1830b0ab7d865fbfea2b610f
BLAKE2b-256 b507d86ec82070475968d70cc32ac5b75e43f779c29184f129c354f744f21d48

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for nncase-2.4.0-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 af5199eb8cb26d89e5cc38ec906ea6bfba602b4af66ff3cbb4acf34bd6f49359
MD5 a3e96a1bdd96f5cc9d0a713edb889204
BLAKE2b-256 948cfb654d31345f9b1e471e81c422650dcc8cc53b7cff926aee22bdccc19105

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: nncase-2.4.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 19.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.5

File hashes

Hashes for nncase-2.4.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 140cff156cd144c646f44f842e84c96ed689bab3599880c05e6c62ed2961c7fa
MD5 62098328198cadb0839d388a701622e0
BLAKE2b-256 b096ed2c473c1abb2c1c7dd9142761cf0a6f1ac3837cad4d6140c9985040f23f

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nncase-2.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 997fdd3e7fcff7b1e0117062f3cfa0e1ac7ce3fec9e2e9c238d083ea98ef5160
MD5 eff1934f124372302dcf401716e7c23d
BLAKE2b-256 0bed392d64a58841c609c071be988ea0bc1fa900d77eef4978f7fb9601ceba44

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for nncase-2.4.0-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 7a4571780581da4e29f817e60de9c7a0b172ed857e943dfff94a8fcd7d43400d
MD5 3ae1c503f3b818135e9c49e6cc4a1a9e
BLAKE2b-256 0c5ebf8bdd96ef960dc4822d14110d5902758c4d4c433c782741afc49f5f3960

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: nncase-2.4.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 19.4 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.5

File hashes

Hashes for nncase-2.4.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b9d920796cbad7d85efe1421d1a969e3825960ee21ba38b9d890573e1a7a922f
MD5 fd63d9e1c443db23561584a3189f1066
BLAKE2b-256 3d47be1686d4cec94fd1a6315af2fc281978778428dafb99bf5f35a8d161929e

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for nncase-2.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9e924e3fc14b329c671ddf633961c5a0c71142b5b320a5ad4235e34f26e66548
MD5 fa229f79d64a44ae3251651c622d231f
BLAKE2b-256 b33466b82e956f804b88e4d6d447b0e8b57d8299d61433ec8141aaec464c5318

See more details on using hashes here.

File details

Details for the file nncase-2.4.0-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for nncase-2.4.0-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 ca687e0bd13df96d97a47aa8acce342269ad4904fa1bb36dfd4bd251e0d5371d
MD5 8c004c6f930ed98ebefea26c5d532b5a
BLAKE2b-256 4c6b1e35c46d7f8c5c8b7967bdd8f4704dbf70c9e366fac89050395cbc927881

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page