108 lines
3.8 KiB
Markdown
108 lines
3.8 KiB
Markdown
## RKNPU2
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RKNPU2 provides an advanced interface to access Rockchip NPU.
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## Support Platform
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- RK3566/RK3568
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- RK3588/RK3588S
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- RV1103/RV1106
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- RK3562
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Note:
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The rknn model must be generated using RKNN Toolkit 2: https://github.com/rockchip-linux/rknn-toolkit2
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**For RK1808/RV1109/RV1126/RK3399Pro, please use:**
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https://github.com/rockchip-linux/rknn-toolkit
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https://github.com/rockchip-linux/rknpu
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https://github.com/airockchip/RK3399Pro_npu
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## ReleaseLog
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### 1.5.2
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- Improved dynamic shape support
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- Improved matmul api support
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- Add GPU back-end implementations for some operators such as matmul
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- Improve transformer support
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- Reduce rknn_init memory usage
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- Optimize rknn_init time-consuming
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### 1.5.0
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- Support RK3562
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- Support more NPU operator fuse, such as Conv-Silu/Conv-Swish/Conv-Hardswish/Conv-sigmoid/Conv-HardSwish/Conv-Gelu ..
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- Improve support for NHWC output layout
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- RK3568/RK3588：The maximum input resolution up to 8192
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- Improve support for Swish/DataConvert/Softmax/Lstm/LayerNorm/Gather/Transpose/Mul/Maxpool/Sigmoid/Pad
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- Improve support for CPU operators (Cast, Sin, Cos, RMSNorm, ScalerND, GRU)
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- Limited support for dynamic resolution
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- Provide MATMUL API
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- Add RV1103/RV1106 rknn_server application as proxy between PC and board
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- Add more examples such as rknn_dynamic_shape_input_demo and video demo for yolov5
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- Bug fix
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### 1.4.0
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- Support more NPU operators, such as Reshape、Transpose、MatMul、 Max、Min、exGelu、exSoftmax13、Resize etc.
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- Add **Weight Share** function, reduce memory usage.
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- Add **Weight Compression** function, reduce memory and bandwidth usage.(RK3588/RV1103/RV1106)
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- RK3588 supports storing weights or feature maps on SRAM, reducing system bandwidth consumption.
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- RK3588 adds the function of running a single model on multiple cores at the same time.
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- Add new output layout NHWC (C has alignment restrictions) .
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- Improve support for non-4D input.
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- Add more examples such as rknn_yolov5_android_apk_demo and rknn_internal_mem_reuse_demo.
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- Bug fix.
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### 1.3.0
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- Support RV1103/RV1106（Beta SDK）
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- rknn_tensor_attr support w_stride(rename from stride) and h_stride
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- Rename rknn_destroy_mem()
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- Support more NPU operators, such as Where, Resize, Pad, Reshape, Transpose etc.
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- RK3588 support multi-batch multi-core mode
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- When RKNN_LOG_LEVEL=4, it supports to display the MACs utilization and bandwidth occupation of each layer.
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- Bug fix
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### 1.2.0
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- Support RK3588
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- Support more operators, such as GRU、Swish、LayerNorm etc.
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- Reduce memory usage
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- Improve zero-copy interface implementation
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- Bug fix
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### 1.1.0
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- Support INT8+FP16 mixed quantization to improve model accuracy
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- Support specifying input and output dtype, which can be solidified into the model
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- Support multiple inputs of the model with different channel mean/std
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- Improve the stability of multi-thread + multi-process runtime
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- Support flashing cache for fd pointed to internal tensor memory which are allocated by users
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- Improve dumping internal layer results of the model
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- Add rknn_server application as proxy between PC and board
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- Support more operators, such as HardSigmoid、HardSwish、Gather、ReduceMax、Elu
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- Add LSTM support (structure cifg and peephole are not supported, function: layernormal, clip is not supported)
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- Bug fix
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### 1.0
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- Optimize the performance of rknn_inputs_set()
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- Add more functions for zero-copy
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- Add new OP support, see OP support list document for details.
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- Add multi-process support
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- Support per-channel quantitative model
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- Bug fix
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### 0.7
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- Optimize the performance of rknn_inputs_set(), especially for models whose input width is 8-byte aligned.
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- Add new OP support, see OP support list document for details.
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- Bug fix
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### 0.6
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- Initial version
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