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
Supported operators
支持的算子
Usage
使用方法
Resources
资源
Architecture
架构
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
2 maintainers
Metadata
2 maintainers
Release files for nncase 2.1.0.20230703
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 295.5 MB
Release files / nncase-2.1.0.20230703-cp310-cp310-win_amd64.whl
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| Size | 19.2 MB |
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| Uploaded via |
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Release files / nncase-2.1.0.20230703-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Size | 30.0 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
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No |
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Release files / nncase-2.1.0.20230703-cp310-cp310-macosx_10_15_x86_64.whl
| Download URL | nncase-2.1.0.20230703-cp310-cp310-macosx_10_15_x86_64.whl |
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Release files / nncase-2.1.0.20230703-cp39-cp39-win_amd64.whl
| Download URL | nncase-2.1.0.20230703-cp39-cp39-win_amd64.whl |
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| Size | 19.2 MB |
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Release files / nncase-2.1.0.20230703-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | nncase-2.1.0.20230703-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 30.0 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
|
Release files / nncase-2.1.0.20230703-cp39-cp39-macosx_10_15_x86_64.whl
| Download URL | nncase-2.1.0.20230703-cp39-cp39-macosx_10_15_x86_64.whl |
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| Size | 24.7 MB |
| Tags | CPython 3.9 macOS 10.15+ x86-64 |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
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Release files / nncase-2.1.0.20230703-cp38-cp38-win_amd64.whl
| Download URL | nncase-2.1.0.20230703-cp38-cp38-win_amd64.whl |
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| Size | 19.2 MB |
| Tags | CPython 3.8 Windows x86-64 |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
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Release files / nncase-2.1.0.20230703-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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| Uploaded via |
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Release files / nncase-2.1.0.20230703-cp38-cp38-macosx_10_15_x86_64.whl
| Download URL | nncase-2.1.0.20230703-cp38-cp38-macosx_10_15_x86_64.whl |
|---|---|
| Size | 24.7 MB |
| Tags | CPython 3.8 macOS 10.15+ x86-64 |
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No |
| Uploaded via |
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Release files / nncase-2.1.0.20230703-cp37-cp37m-win_amd64.whl
| Download URL | nncase-2.1.0.20230703-cp37-cp37m-win_amd64.whl |
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| Size | 19.2 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
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| Uploaded via |
twine/4.0.1 CPython/3.9.12
|
Release files / nncase-2.1.0.20230703-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | nncase-2.1.0.20230703-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 30.0 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
|
Release files / nncase-2.1.0.20230703-cp37-cp37m-macosx_10_15_x86_64.whl
| Download URL | nncase-2.1.0.20230703-cp37-cp37m-macosx_10_15_x86_64.whl |
|---|---|
| Size | 24.7 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
|
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