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products:sbc:vim3:npu:npu-sdk [2023/09/11 04:06]
hyphop [NPU SDK Usage] 		products:sbc:vim3:npu:npu-sdk [2023/09/15 11:49]
sravan [Conversion Parameters]
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-~~tag>VIM3 VIM3L Amlogic NPU SDK tensorflow torch~~+~~tag>VIM3 VIM3L Amlogic NPU SDK tensorflow pytorch~~
  
 ====== NPU SDK Usage ====== ====== NPU SDK Usage ======
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 ===== SDK Structure ===== ===== SDK Structure =====
  
-Enter the SDK directory,+Enter inside SDK directory ''aml_npu_sdk''
  
 ```shell ```shell
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 ``` ```
  
-<WRAP tip > +<WRAP info > 
-Since all linux codes have been supports local compiled, host compilation is no longer supported. Therefore, the contents of ''linux_sdk'' have been completely removed.+Since all linux code can now be locally compiled on the device, host compilation is no longer supported. Therefore, the contents of ''linux_sdk'' have been completely removed.
 </WRAP> </WRAP>
  
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 ``` ```
  
-Use scripts to convert AI models.+Use these scripts to convert Neural Network models into a format compatible with the VIM3 NPU.
  
 ```shell ```shell
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 ``` ```
  
-  * ''0_import_model.sh'' - Import model script. Now, it supports loading Tensorflow, Caffe, Tensorflow Lite, Onnx, Keras, Pytorch and Darknet model. +  * ''0_import_model.sh'' - Import model script. Now, it supports loading Tensorflow, Caffe, Tensorflow Lite, Onnx, Keras, Pytorch, and Darknet models. 
-  * ''1_quantize_model.sh'' - Quantize model script. Now, it can quantize model in int8, int16 and uint8.+  * ''1_quantize_model.sh'' - Quantize model script. Now, it can quantize model in ''int8'', ''int16'' and ''uint8''.
   * ''2_export_case_code.sh'' - Export model script. If you use ''VIM3'', please set ''optimize'' to ''VIPNANOQI_PID0X88''. If use ''VIM3L'', please set ''optimize'' to ''VIPNANOQI_PID0X99''.   * ''2_export_case_code.sh'' - Export model script. If you use ''VIM3'', please set ''optimize'' to ''VIPNANOQI_PID0X88''. If use ''VIM3L'', please set ''optimize'' to ''VIPNANOQI_PID0X99''.
  
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 For the conversion parameters and settings, please refer to: For the conversion parameters and settings, please refer to:
   * [[gh>khadas/aml_npu_sdk/tree/master/docs/en]]   * [[gh>khadas/aml_npu_sdk/tree/master/docs/en]]
-  * [[https://github.com/khadas/aml_npu_sdk/blob/master/docs/en/Model%20Transcoding%20and%20Running%20User%20Guide%20(1.0).pdf|Model Transcoding and Running User Guide]]+  * [[gh>khadas/aml_npu_sdk/blob/master/docs/en/Model Transcoding and Running User Guide (1.0).pdf|Model Transcoding and Running User Guide]]
  
Last modified: 2024/04/18 04:34 by nick

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