ONE - On-device Neural Engine
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Examples
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ONE - On-device Neural Engine
How to Add a New Operation
How to Build Compiler
How to Build Package
How to Build Runtime with GBS for Tizen/RPi4
How to Build Using Prebuilt Docker Image
How to Build Runtime
How to Contribute
How to Cross-build Runtime for AARCH64
How to Cross-build Runtime for Android
How to Cross-build Runtime for ARM
How To Introduce a New Operation Into Compiler
How To Introduce a New Operation Into Runtime
How to Make an Application with Runtime
How to Remote Debugging with Visual Studio Code
How to Run Package
How to Use API
How to Use NNAPI Binding
How to Use NNFW API
How to Use NNFW PYTHON API
How to Use Specific Backend during Inference
Background
Overall Architecture
Roadmap
Supported Operations
Workgroup
API
Backend API
Compute
Controlflow Operations
Core
Executors
Heterogeneous Execution
On-Device Compilation
Supported Operations and backend
Training
Training a simple CNN model on MNIST using ONERT
Training MobileNetV2 on ImageNet Dataset using ONERT
Transfer Learning
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ops Directory Reference
Directory dependency graph for ops:
Files
BackPropAccumulator.cc
BackPropAccumulator.h
BackPropInitializer.cc
BackPropInitializer.h
BinaryArithmeticLayer.cc
BinaryArithmeticLayer.h
ConvolutionLayer.cc
ConvolutionLayer.h
DepthwiseConvolutionLayer.cc
DepthwiseConvolutionLayer.h
ElementwiseActivationLayer.cc
ElementwiseActivationLayer.h
FullyConnectedLayer.cc
FullyConnectedLayer.h
GradientApplier.cc
GradientApplier.h
LossCategoricalCrossentropyLayer.cc
LossCategoricalCrossentropyLayer.h
LossLayer.cc
LossLayer.h
LossMeanSquaredErrorLayer.cc
LossMeanSquaredErrorLayer.h
MeanLayer.cc
MeanLayer.h
OperationUtils.cc
OperationUtils.h
PadLayer.cc
PadLayer.h
PoolLayer.cc
PoolLayer.h
ReshapeLayer.cc
ReshapeLayer.h
SoftMaxLayer.cc
SoftMaxLayer.h
runtime
onert
backend
train
ops
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