RK Platform NPU SDK
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Revision as of 04:44, 8 August 2023 by Yunjin.jiang (talk | contribs)
Contents
Preface
NPU Introduce
RK3568
- Neural network acceleration engine with processing performance up to 0.8 TOPS
- Support integer 4, integer 8, integer 16, float 16, Bfloat 16 and tf32 operation
- Support deep learning frameworks: TensorFlow, Caffe, Tflite, Pytorch, Onnx NN, Android NN, etc.
- One isolated voltage domain to support DVFS
RK3588
- Neural network acceleration engine with processing performance up to 6 TOPS
- Include triple NPU core, and support triple core co-work, dual core co-work, and work independently
- Support integer 4, integer 8, integer 16, float 16, Bfloat 16 and tf32 operation
- Embedded 384KBx3 internal buffer
- Multi-task, multi-scenario in parallel
- Support deep learning frameworks: TensorFlow, Caffe, Tflite, Pytorch, Onnx NN, Android NN, etc.
- One isolated voltage domain to support DVFS
RKNN SDK
rknpu2
TBD
rknn-toolkit2
TBD