Skip to main content

A neural network compiler for AI accelerators

Project description

nncase

License compiler-build

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

Usage

使用方法

Resources

资源


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


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-1.7.1.20220701-cp310-cp310-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

nncase-1.7.1.20220701-cp310-cp310-manylinux_2_24_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.24+ x86-64

nncase-1.7.1.20220701-cp310-cp310-macosx_10_15_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

nncase-1.7.1.20220701-cp39-cp39-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

nncase-1.7.1.20220701-cp39-cp39-manylinux_2_24_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.24+ x86-64

nncase-1.7.1.20220701-cp39-cp39-macosx_10_15_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

nncase-1.7.1.20220701-cp38-cp38-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

nncase-1.7.1.20220701-cp38-cp38-manylinux_2_24_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.24+ x86-64

nncase-1.7.1.20220701-cp38-cp38-macosx_10_15_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

nncase-1.7.1.20220701-cp37-cp37m-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

nncase-1.7.1.20220701-cp37-cp37m-manylinux_2_24_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.24+ x86-64

nncase-1.7.1.20220701-cp37-cp37m-macosx_10_15_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

nncase-1.7.1.20220701-cp36-cp36m-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.6m Windows x86-64

nncase-1.7.1.20220701-cp36-cp36m-manylinux_2_24_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.24+ x86-64

nncase-1.7.1.20220701-cp36-cp36m-macosx_10_15_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.6m macOS 10.15+ x86-64

File details

Details for the file nncase-1.7.1.20220701-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 75c3c853d60fba8dc0ac688aa0e882a5d19db8f40c940073a32d2ba35a0d87fa
MD5 dd613aa4ca00399afec8d3cf83bd0018
BLAKE2b-256 1c9877c70840c68582af08a5d3aa6745c96d9f11591a41393f3af7a2d26b2196

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp310-cp310-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp310-cp310-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 2620f62d265ea246d3471e996f23a6509b761b86d66a0433a9c469e890e9656c
MD5 1534ecec8e49a593425bdd5fd015acf4
BLAKE2b-256 4a76770d2d6253bc3c5bbd9536fba7d693d779b65dac0f1969d0ec4d9f633656

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 e82dac8ebad0c24c80fe3d7e05c007be6f565b0707ff83cc7326f7541f16e542
MD5 d9c1d025fc65879fc818ad900ea7dfa1
BLAKE2b-256 beebbd6cbe0651d1d3a1b2c0a69504b223a63d2aa31c9890502e8157899ff131

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1e7e907a95130124dd71be0883fb789dbfee8afff6cc06a22879d2da157a28c4
MD5 559a9788fbb139f4fe37d286ea010c5b
BLAKE2b-256 2364b7ab9fb807e71cc3a6737e86a1feeed1daefe78c1a3ab4031e930f1ae765

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp39-cp39-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp39-cp39-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 f1442b94689c13fcf02e347e6c755ee844849750eddc60230e8bdb69b9d3dd3f
MD5 b173c80b49adca61f6fd32fabb00c582
BLAKE2b-256 1976ae09b652aafd9023e3b55bc71c844dd17d1da7d20a71006cb2a2b64b7e16

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 cdc20fbac93928f1bb868bcd11e6eb498ea2ce8526833bd97ee1cfca3aee1d36
MD5 1df48036fec094b38dc28b1543f48b18
BLAKE2b-256 227ef27a0d1ec995c6f2aa73a8628c66e6b82d26ef40a9bbd58645f7c01de32c

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 bbddd8f1d92ed93272571d7657a93cf62196a24ff2bf690ba703dfbe375c6748
MD5 a3e0e0e4e6e275cb72db3777a4b4cc66
BLAKE2b-256 1eefdfe9c0c49efee2cf07887e54cf3cdc06b3109d86fb41d5c3ce2aba3f0562

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp38-cp38-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp38-cp38-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 b17d0f9b384ab1e40528293edb46bbe5a088be52777b7fc21e6fe92d09971eb0
MD5 6d119ea1d57f574de229f4e4e83d6a1f
BLAKE2b-256 df5b7e0542d60179b4c4de749fac8af7ab781897b4d1a0aed4ca98c76f30bf38

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 42f025f746bc4d302aa152043248fb1586e7ccfc7c1c3ca41390dd82b60663b2
MD5 d6b97e6b60928fe8099e650c9c069bbb
BLAKE2b-256 64d3ddc9bfb19805525f72ce9cd526d60462c1356e8bf9dae1fbda3a3cdf4cb0

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 13a8a47107dcf099769d54591ba145a598731213d0ed97471be1bcb4bfc79f9d
MD5 7cfd669e5964ce6d993e41bc5e6f7b89
BLAKE2b-256 742c018ddf20e95687609c01340445616e2068981905fb94a47d1ff6c46441a8

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp37-cp37m-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp37-cp37m-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 d5d500f9ceb5779bc3e6945675e7d012c06c5bd9a2f7bef040770aa5bd4853c8
MD5 b1058d1319270c3ffc15477c21ea1a58
BLAKE2b-256 e611b5329156ceebe48938293d41b02a00fef320ebd5e8bc6cc578c5919475e7

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d25b92a96bdfa7c9e97f7b39ff09bf6ba249c87eb0381ce0aa459e79f61ca8ca
MD5 ccc6c8340837024a2704bd130b1b8e81
BLAKE2b-256 6001bbe3e5fa4987bda51b1f452c9f76dc279e21ee4d5da48950730736665e31

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 0b60ef9e14e30fc02aa59d1a5c68c50e6f8b48ba371695afe7fa16bb3e64f76a
MD5 3ed314e7d2f0eef506e824abe8acdb3d
BLAKE2b-256 7bae76b73fb59528291f40086aebc2f8f5b15d46a09f98f97f1eb70d6c348040

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp36-cp36m-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp36-cp36m-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 1afa340ebc7a1d3c5a9fbf6c37f92c4e41be49f3c322ed5a56e00ce95499f79d
MD5 8e1c34ff3bd2ba757708d919d498896d
BLAKE2b-256 44f033dd68adb8b3f9ce16f96d96ffc86293e41b06ff6979ada617986c453edf

See more details on using hashes here.

Provenance

File details

Details for the file nncase-1.7.1.20220701-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for nncase-1.7.1.20220701-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 c2a279aaeb0006c3fd79dd9eac61486d7cc5a2511aba4554967bff6d597b7a9e
MD5 391aa03f0c62c69e956e24abc607b637
BLAKE2b-256 a60fa8f48547d6887f0ac1c10262a52d58d97691ac23fa808294ebd90fcdf8e3

See more details on using hashes here.

Provenance

Supported by

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