1. 概述
本文档包含了此次发布的AI应用软件包的特性,已知问题和使用限制等。
此次发布是MXC600 GPU的AI应用交付, MXMACA-Driver-3.7.0.23, MXMACA-SDK-3.7.0.38, MXMACA-Pytorch-3.7.0.7 版本适用于曦云® C600,曦思® N300和曦索® X301、X302。
下表列出了系统测试覆盖率和通过率。
系统 |
测试覆盖率/通过率 |
|---|---|
maca-paddle-3.7.0.6 |
Full regression with release quality |
maca-paddle-metax-3.7.0.6 |
Full regression with release quality |
maca-bitsandbytes-3.7.0.6 |
Full regression with release quality |
maca-tensorflow2-3.7.0.6 |
Full regression with release quality |
maca-deepspeed-3.7.0.6 |
Full regression with release quality |
maca-diffusers.training-3.7.0.6 |
Full regression with release quality |
maca-cv-cuda-3.7.0.6 |
Full regression with release quality |
maca-mmcv-3.7.0.6 |
Full regression with release quality |
maca-modelzoo.cnn.training-3.7.0.6 |
Full regression with release quality |
maca-modelzoo.llm.transformers-3.7.0.6 |
Full regression with release quality |
maca-modelzoo.llm.diffusers-3.7.0.8 |
Full regression with release quality |
maca-onnxruntime-3.7.0.8 |
Full regression with release quality |
maca-modelzoo.cnn.inference-3.7.0.8 |
Full regression with release quality |
1.1. 交付内容
此次发布包含以下内容:
二进制文件,动态库和容器镜像文件
PaddlePaddle深度学习框架
BitsAndBytes量化工具
DeepSpeed大模型训练框架
Diffusers大模型训练框架
mmcv computer visios library
modelzoo.cnn.training 二进制包
CV-CUDA计算机视觉加速库
TensorFlow机器学习框架
《沐曦通用GPU AI推理用户手册》
《沐曦通用GPU AI训练用户手册》