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1e4b259d28
* updating examples with current api calls * Fixing capitalization in api calls, adding RKNPU update * Correcting nuphar and rknpu ep api calls * Include creating session in readme
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1.6 KiB
Markdown
70 lines
No EOL
1.6 KiB
Markdown
# RKNPU Execution Provider (preview)
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RKNPU DDK is an advanced interface to access Rockchip NPU. RKNPU Execution Provider enables deep learning inference on Rockchip NPU via RKNPU DDK.
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## Supported platforms
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* RK1808 Linux
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*Note: RK3399Pro platform is not supported.*
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## Build
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For build instructions, please see the [BUILD page](../../BUILD.md#RKNPU).
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## Usage
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### C/C++
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To use RKNPU as execution provider for inferencing, please register it as below.
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```
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Ort::Env env = Ort::Env{ORT_LOGGING_LEVEL_ERROR, "Default"};
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Ort::SessionOptions sf;
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Ort::ThrowOnError(OrtSessionOptionsAppendExecutionProvider_RKNPU(sf));
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Ort::Session session(env, model_path, sf);
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```
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The C API details are [here](../C_API.md#c-api).
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## Supported Operators
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The table below shows the ONNX Ops supported using RKNPU Execution Provider and the mapping between ONNX Ops and RKNPU Ops.
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| **ONNX Ops** | **RKNPU Ops** |
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| --- | --- |
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| Add | ADD |
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| Mul | MULTIPLY |
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| Conv | CONV2D |
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| QLinearConv | CONV2D |
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| Gemm | FULLCONNECT |
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| Softmax | SOFTMAX |
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| AveragePool | POOL |
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| GlobalAveragePool | POOL |
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| MaxPool | POOL |
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| GlobalMaxPool | POOL |
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| LeakyRelu | LEAKY_RELU |
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| Concat | CONCAT |
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| BatchNormalization | BATCH_NORM |
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| Reshape | RESHAPE |
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| Flatten | RESHAPE |
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| Squeeze | RESHAPE |
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| Unsqueeze | RESHAPE |
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| Transpose | PERMUTE |
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| Relu | RELU |
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| Sub | SUBTRACT |
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| Clip(0~6)| RELU6 |
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| DequantizeLinear | DATACONVERT |
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| Clip | CLIP |
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## Supported Models
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Below Models are supported from ONNX open model zoo using RKNPU Execution Provider
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### Image Classification
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- squeezenet
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- mobilenetv2-1.0
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- resnet50v1
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- resnet50v2
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- inception_v2
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### Object Detection
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- ssd
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- yolov3 |