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3
README.md
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@ -14,8 +14,7 @@ RKNN-Toolkit2 is a software development kit for users to perform model conversio
871ca9bbcb96dcf89991e9a6888b3a48 rknn_toolkit2-1.1.0_5c458c6-cp36-cp36m-linux_x86_64.whl
```
# Feedback and Community Suport
Three ways are followed:
- [Redmine](https://redmine.rock-chips.com/) (**Feedback recommended**)
Two ways are followed:
- [Issues](https://github.com/rockchip-linux/rknn-toolkit2/issues) (**Feedback recommended**)
- QQ Group Chat: 1025468710 **welcome for developer**
<p align="center"><img width="200" height="200" src="https://github.com/rockchip-linux/rknn-toolkit2/blob/master/QQGroupQRCode.png"/></p>

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doc/RKNNToolKit2_OP_Support-1.1.0.md
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# RKNNToolkit2 OPs Support
Base on RKNN Toolkit2 Version 0.6.0
Based on RKNN Toolkit2 Version 1.1.0
## Explanation of terms:
@ -34,7 +34,7 @@ Broadcast rule:
Caffe protocols RKNN Toolkit2 uses only based on the officially modified protocol of berkeley.
The protocol based on the official revision of berkeley comes from [berkeley caffe](https://github.com/BVLC/caffe/tree/master/src/caffe/proto 'Berkeley Caffe'), commit hash is 21d0608. On this basis RKNN Toolkit2 have added some OPs.
Based on this protocol, the list of Caffe OPs supported by RKNN Toolkit2 Version 0.6.0 is as follows:
Based on this protocol, the list of Caffe OPs supported by RKNN Toolkit2 Version 1.1.0 is as follows:
| **Operators** | **Remarks** |
| -------------------- | ----------- |
@ -77,8 +77,8 @@ Based on this protocol, the list of Caffe OPs supported by RKNN Toolkit2 Version
## ONNX OPs supported by RKNN Toolkit2
The ONNX version supported by RKNN Toolkit2 is 0.6.0. According to [ONNX official instructions](https://github.com/microsoft/onnxruntime/blob/master/docs/Versioning.md 'ONNX Version Description'), the corresponding ONNX opset version is 12.
The list of ONNX OPs supported by RKNN Toolkit2 Version 0.6.0 is as follows:
The ONNX version supported by RKNN Toolkit2 is 1.1.0. According to [ONNX official instructions](https://github.com/microsoft/onnxruntime/blob/master/docs/Versioning.md 'ONNX Version Description'), the corresponding ONNX opset version is 12.
The list of ONNX OPs supported by RKNN Toolkit2 Version 1.1.0 is as follows:
| **Operators** | **Remarks** |
| ----------------------------- | ----------- |
@ -119,8 +119,8 @@ The list of ONNX OPs supported by RKNN Toolkit2 Version 0.6.0 is as follows:
| ReduceSum |output dims <= 4|
| Relu |channel: [1, 8192]<br />height: [1, 8192]<br />width: [1, 8176]|
| Reshape ||
| Resize |bilinear（不支持tf_crop_and_resize）; nearest2d|
| ReverseSequence |
| Resize |bilinear（not support tf_crop_and_resize）; nearest2d|
| ReverseSequence ||
| RoiAlign |pool type: average|
| Slice ||
| Softmax ||
@ -130,12 +130,12 @@ The list of ONNX OPs supported by RKNN Toolkit2 Version 0.6.0 is as follows:
| Tanh |channel: [1, 8192]<br />height: [1, 8192]<br />width: [1, 8176]|
| Tile ||
| Transpose ||
| Upsample (resize) || |
| Upsample (resize) ||
## Pytorch OPs supported by RKNN Toolkit2
The Pytorch version supported by RKNN Toolkit2 is 1.6.0, models generated by other versions may not support.
The list of Pytorch OPs supported by RKNN Toolkit2 Version 0.6.0 is as follows:
The list of Pytorch OPs supported by RKNN Toolkit2 Version 1.1.0 is as follows:
| **Operators** | **Remarks** |
| ------------------------- | ----------- |
@ -242,7 +242,7 @@ The list of TensorFlow Lite OPs supported by RKNN Toolkit2 is as follows:
|TRANSPOSE||
## Darknet OPs supported by RKNN Toolkit2
The list of Darknet OPs supported by RKNN Toolkit2 Version 0.6.0 is as follows:
The list of Darknet OPs supported by RKNN Toolkit2 Version 1.1.0 is as follows:
| **Operators** | **Remarks** |
|---| ----------- |

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doc/changelog-1.1.0.txt
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@ -1,4 +1,4 @@
2021-8-12
2021-8-20
版本：v1.1.0
更新内容:
1. 新功能: LSTM，GRU的支持；增加了accuracy_analysis对比项目；增加了一些op支持：caffe hardswish；onnx gather,reduceMax等op；更新了更全面的图优化规则。

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