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README
Apache-2.0

简介

昇腾样例仓提供了一系列媒体数据处理(DVPP/AIPP)、算子开发与调用(Ascend C)、推理应用开发与部署(AscendCL)等场景的丰富代码样例给开发者进行参考学习,帮助开发者快速入门,进而熟练掌握CANN关键特性使用。

目录

环境准备

推荐样例

样例名称 样例介绍 开发语言
DVPP接口样例 图像视频处理(DVPP)单接口样例,包含图片视频解码(vdec/jpegd)、缩放(resize)、抠图(crop)、转换(vpc)等功能 C++
单算子样例 自定义算子开发介绍,单算子调用样例,包含Add/batchnorm/conv2d/lstm/matmul/reshape等算子 C++
Ascend C单算子样例 自定义Ascend C算子开发介绍,单算子调用样例,包含Add/LayerNorm/MatMul/MatMulLeakyRelu/MoeSoftMaxTopK等算子 Ascend C
sampleResnetQuickStart :+1:推理应用入门样例,基于Resnet50模型实现的图像分类应用 C++/Python
sampleResnetAIPP AIPP特性使用,基于Resnet50模型实现的图像分类应用 C++/Python
sampleResnetDVPP DVPP特性使用,基于Resnet50模型实现的图像分类应用 C++/Python
sampleYOLOV7 使能DVPP+AIPP特性,基于YoloV7模型实现的物体检测应用 C++
sampleResnetRtsp RTSP视频流输入,基于Resnet50模型实现的图像分类应用 C++
sampleCarColor 多模型串接,基于YoloV7模型和颜色分类模型实现的检测分类应用 C++
sampleYOLOV7MultiInput :+1:多路输入综合样例,基于YoloV7模型实现的物体检测应用,支持多路RTSP流/视频输入、支持多卡并行 C++
sampleCrowdCounting 统计图片人头数量,基于CrowdCounting模型实现的推理应用 Python
sampleYOLOV7NMSONNX 后处理使用CANN算子进行加速,基于YoloV7模型实现的物体检测应用 Python

仓库结构

- /cplusplus:C++样例归档路径(待迁移至/inference)
    |--/contrib:外部贡献推理样例
    |--/level1_single_api:CANN AscendCL接口、DVPP接口、Graph接口等单接口样例
    |--/level2_simple_inference:AscendCL推理应用样例
- /docs:CANN Samples样例使用相关说明、FAQ文档
- /inference:推理应用相关样例
    |--/ACLHelloWorld:AscendCL推理应用入门“Hello World”
    |--/acllite:AscendCL高阶封装接口,包含C++及Python版本
    |--/contributeSamples:开发者贡献样例
    |--/mediaProcess:媒体(音视频)接口相关样例
    |--/memoryManagement:AscendCL内存管理样例
    |--/modelInference:推理应用样例目录,包含C++及Python版本
- /operator:算子开发与使用相关样例
    |--/AddCustomSample:Ascend C算子开发Add样例
       |--FrameworkLaunch: 单算子工程及调用样例
          |--AclNNInvocation: 单算子API执行样例
          |--AclOfflineModel: 单算子模型执行样例
          |--AclOnlineModel: 单算子模型执行样例
          |--AddCustom: 单算子工程
          |--CppExtensions: pybind调用样例
          |--PytorchInvocation: pytorch调用样例
          |--TensorFlowInvocation: tensorflow调用样例
       |--KernelLaunch: 内核调试调用样例
          |--AddKernelInvocation: 内核调试调用样例
          |--AddKernelInvocationNeo: Kernel Launch调试样例
          |--AddKernelInvocationTilingNeo: 带Tiling的Kernel Launch调试样例
    |--/...
    |--/...
- /python:Python样例归档路径(待迁移至/inference)
    |--/contrib:外部贡献推理样例
    |--/level1_single_api:CANN AscendCL接口、DVPP接口、Graph接口等单接口样例
    |--/level2_simple_inference:AscendCL推理应用样例
    |--/level3_multi_model:多模型串接综合样例

变更日志

时间 更新事项
2024/02/23 新增pybind11调用算子样例:MatMulLeakyReluCustomSample/KernelLaunch/CppExtensions
2024/02/22 新增AddcdivCustom算子样例:AddcdivCustomSample
2024/01/26 新增基于Ascend C的自定义MatMul算子Kernel Lanunch调用样例:MatMulCustomSample/KernelLaunch/MatMulInvocationNeo
2024/01/05 新增基于Ascend C的自定义Add算子pybind调用样例:AddCustomSample/FrameworkLaunch/CppExtensions
2024/01/04 新增基于Ascend C的自定义Add算子Kernel Lanunch调用样例:AddCustomSample/KernelLaunch/AddKernelInvocationNeoAddCustomSample/KernelLaunch/AddKernelInvocationTilingNeo
2023/12/15 新增基于Ascend C的自定义LeakyRelu算子onnx调用样例:LeakyReluCustomSample/FrameworkLaunch/OnnxInvocation
2023/12/13 新增基于Ascend C的自定义算子MoeSoftMaxTopk实现及调用:MoeSoftMaxTopkCustomSample
2023/12/13 新增基于Ascend C的自定义算子LayerNorm实现及调用:LayerNormCustomSample
2023/11/22 新增基于Ascend C的自定义算子PreLayerNorm实现及调用:PreLayerNormSample
2023/11/09 新增基于Ascend C的自定义算子MatMul实现及调用:MatMulCustomSample
2023/11/09 新增基于Ascend C的自定义算子Sub实现及调用:SubCustomSample
2023/11/09 新增基于Ascend C的自定义算子MatmulLeakyrelu实现及调用:MatmulLeakyreluCustomSample
2023/10/24 新增基于Ascend C的Add自定义算子tensorflow调用样例:AddCustomSample/FrameworkLaunch/TensorflowInvocation
2023/08/28 新增基于Ascend C的Add自定义算子aclnn调用样例:AddCustomSample/FrameworkLaunch/AclNNInvocation
2023/08/25 新增基于Ascend C的自定义算子核函数直调样例:AddCustomSample/KernelLaunch/AddKernelInvocationLeakyReluCustomSample/KernelLaunch
2023/08/25 新增基于Ascend C的自定义算子实现:AddCustomSample/FrameworkLaunch/AddCustomLeakyReluCustomSample/FrameworkLaunch/LeakyReluCustom
2023/05/23 新增样例:sampleYOLOV7NMSONNX
2023/05/17 新增样例:sampleCrowdCounting
2023/05/16 样例新增功能点:sampleYOLOV7MultiInput
2023/05/16 新增样例:sampleCarColor
2023/05/11 新增样例:sampleResnetRtsp
2023/04/10 新增初级成长路径:growthpath
2023/03/29 新增标签:v0.9.0
2023/03/10 新增样例:ACLHelloWorld
2023/03/09 新增样例:sampleYOLOV7sampleMMDeploy
2023/02/17 新增样例:sampleResnetQuickStartsampleResnetAIPPsampleResnetDVPP
2023/02/10 新增目录分支:operatorinferencetraining 分别存放算子、推理、训练相关样例及指导。

许可证

Apache License 2.0

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