付俊伟-AIGC 浪潮下 WebNN 的演进与实践.pdf

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1、演讲人：付俊伟胡宁馨,英特尔首席工程师,W3C Web Neural Network(WebNN)标准的起草和主要编辑者,Chromium committer and Chromium WebNN 组件的主要拥有者张敏,Intel WebNN 团队的技术经理,Chromium and ONNX Runtime WebNN EP 的开发者,WebNN developer preview的作者付俊伟,英特尔高级软件工程师,Chromium committer and Chromium WebNN的基础架构设计和Chromium Shape Detection API 主要开发者目 录01WebNN

2、出现的背景02WebNN的架构设计03如何使用WebNN04WebNN的性能对比https:/microsoft.github.io/webnn-developer-preview/WebNN Execution Provider of ONNX Runtime Web with GPU acceleration from DirectML.Running on Intel CoreUltra 7 processor 155H with integrated ArcGPU.Stable DiffusionA cat under the snowText EncoderText EncoderI

3、mage GenerationUnetUnetStepStep1 1Image DecoderUnetUnetStepStep2 2UnetUnetStepStep3 3UnetUnetStepStep4 4WebNN OperationmatMulgathersigmoidsoftmaxDirectMLGEMMGATHERLOGISTICSOFTMAXTFLiteBATH_MATMULGATHERACTIVATION_SIGMOIDACTIVATION_SOFTMAXCoreMLmatmulgather_along_axissigmoidsoftmaxCPUGPUNPU系统ML APIsWe

4、b Browser(e.g.,Chrome/Edge)框架运用场景WebNNJavaScript Runtime(e.g.,Electron/Node.js)Noise SuppressionImageClassificationBackgroundSegmentationTensorFlow.jsONNXRuntimeWebMediaPipe WebNatural Language硬件CoreMLDirectMLWeb API Web引擎Transformers.jsWebAssemblyWebGPUObject DetectionTFLiteOther ML OS APIsWindows

5、Studio EffectsAPI extensionsComputational Graph(Web)conv2daddreluinputoutputfilterbiastmptmpcompilecomputeInput Buffers(CPU/GPU)MLGraphBuilderMLGraphBuilderMLContextMLContextMLGraphMLGraphOutput Buffers(CPU/GPU)device type:cpu/gpu/npupower preference:high-perf/low-powerbuildcreateCompiled Graph(Nati

6、ve)Fused conv2dinputoutputWebNN为Web带来了神经网络的统一抽象Other Web APIWebNN API Call flowDataflowWeb ApplicationJS ML FrameworksGPUNPUCPUWebNNMojo ClientDirectMLBackendWebNN Mojo ServerBNNS/MPSCoreMLMCDMApps/FrameworksHardwareChromiumNative ML APIsOS DriversRenderer ProcessIPCmacOSWindowsMLContextMLGraphBuild