MindSpore网络支持
Linux
Ascend
GPU
CPU
模型开发
中级
高级
Model Zoo
领域 |
子领域 |
网络 |
Ascend(Graph) |
Ascend(PyNative) |
GPU(Graph) |
GPU(PyNaitve) |
CPU(Graph) |
---|---|---|---|---|---|---|---|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Supported |
Supported |
Supported |
Doing |
|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Supported |
Supported |
Supported |
Doing |
|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Supported |
Supported |
Supported |
Supported |
|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Supported |
Supported |
Supported |
Doing |
|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Supported |
Supported |
Supported |
Doing |
|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Supported |
Supported |
Supported |
Doing |
|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Supported |
Supported |
Supported |
Doing |
|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Supported |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
图像分类(Image Classification) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
移动端图像分类(Mobile Image Classification) |
Supported |
Supported |
Supported |
Supported |
Doing |
|
计算机视觉(CV) |
移动端图像分类(Mobile Image Classification) |
Doing |
Doing |
Supported |
Supported |
Doing |
|
计算机视觉(CV) |
目标检测(Object Detection) |
Supported |
Supported |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
目标检测(Object Detection) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
目标检测(Object Detection) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
目标检测(Object Detection) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
目标检测(Object Detection) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
目标检测(Object Detection) |
Supported |
Doing |
Supported |
Supported |
Doing |
|
计算机视觉 (CV) |
文本检测 (Text Detection) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
语义分割(Semantic Segmentation) |
Supported |
Supported |
Doing |
Doing |
Doing |
|
计算机视觉(CV) |
语义分割(Semantic Segmentation) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
自然语言处理(NLP) |
自然语言理解(Natural Language Understanding) |
Supported |
Supported |
Supported |
Supported |
Doing |
|
自然语言处理(NLP) |
自然语言理解(Natural Language Understanding) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
自然语言处理(NLP) |
自然语言理解(Natural Language Understanding) |
Doing |
Doing |
Supported |
Supported |
Supported |
|
自然语言处理(NLP) |
自然语言理解(Natural Language Understanding) |
Supported |
Supported |
Doing |
Doing |
Doing |
|
自然语言处理(NLP) |
自然语言理解(Natural Language Understanding) |
Supported |
Doing |
Supported |
Doing |
Doing |
|
推荐(Recommender) |
推荐系统、点击率预估(Recommender System, CTR prediction) |
Supported |
Supported |
Supported |
Doing |
Doing |
|
推荐(Recommender) |
推荐系统、搜索、排序(Recommender System, Search ranking) |
Supported |
Supported |
Supported |
Supported |
Doing |
|
图神经网络(GNN) |
文本分类(Text Classification) |
Supported |
Doing |
Doing |
Doing |
Doing |
|
图神经网络(GNN) |
文本分类(Text Classification) |
Supported |
Doing |
Doing |
Doing |
Doing |
你也可以使用 MindWizard工具 快速生成经典网络脚本。