RKNPU DDK is an advanced interface to access Rockchip NPU. RKNPU Execution Provider enables deep learning inference on Rockchip NPU via RKNPU DDK.
- RK1808 Linux
Note: RK3399Pro platform is not supported.
For build instructions, please see the BUILD page.
To use RKNPU as execution provider for inferencing, please register it as below.
Ort::Env env = Ort::Env{ORT_LOGGING_LEVEL_ERROR, "Default"};
Ort::SessionOptions sf;
Ort::ThrowOnError(OrtSessionOptionsAppendExecutionProvider_RKNPU(sf));
Ort::Session session(env, model_path, sf);
The C API details are here.
The table below shows the ONNX Ops supported using RKNPU Execution Provider and the mapping between ONNX Ops and RKNPU Ops.
ONNX Ops | RKNPU Ops |
---|---|
Add | ADD |
Mul | MULTIPLY |
Conv | CONV2D |
QLinearConv | CONV2D |
Gemm | FULLCONNECT |
Softmax | SOFTMAX |
AveragePool | POOL |
GlobalAveragePool | POOL |
MaxPool | POOL |
GlobalMaxPool | POOL |
LeakyRelu | LEAKY_RELU |
Concat | CONCAT |
BatchNormalization | BATCH_NORM |
Reshape | RESHAPE |
Flatten | RESHAPE |
Squeeze | RESHAPE |
Unsqueeze | RESHAPE |
Transpose | PERMUTE |
Relu | RELU |
Sub | SUBTRACT |
Clip(0~6) | RELU6 |
DequantizeLinear | DATACONVERT |
Clip | CLIP |
Below Models are supported from ONNX open model zoo using RKNPU Execution Provider
- squeezenet
- mobilenetv2-1.0
- resnet50v1
- resnet50v2
- inception_v2
- ssd
- yolov3