Heiko J Schick
41 lines
1.6 KiB
Markdown
41 lines
1.6 KiB
Markdown
EN|[CH](README.md)
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# tools
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#### introduce
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Ascend tools
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**Please go to the corresponding folder to get the tool according to your needs, or click the link below to select the tool you need to use.**
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#### explain
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1. [msame](https://gitee.com/ascend/tools/tree/master/msame)
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**Model reasoning tool**:Input. Om model and model required input bin file, output model output data file.
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2. [img2bin](https://gitee.com/ascend/tools/tree/master/img2bin)
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**Bin file generation tool** : Generates input data required for model reasoning, saved in.bin format.
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3. [makesd](https://gitee.com/ascend/tools/tree/master/makesd)
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**makesd tool**：makesd tools package，Provide card making function under ubuntu.
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4. [faster_install](https://gitee.com/ascend/tools/tree/master/faster_install)
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**faster_install**：environment fast install script.
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5. [configure_usb_ethernet](https://gitee.com/ascend/tools/tree/master/configure_usb_ethernet)
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**configure_usb_ethernet**：configuring the IP address of the USB NIC 。
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6. [pt2pb](https://gitee.com/ascend/tools/tree/master/pt2pb)
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**pytorch model transform to tensorflow pb model tool**：input pytorch weights parameters model，transform to onnx file，then transform to pb model
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7. [dnmetis](https://gitee.com/ascend/tools/tree/master/dnmetis)
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**Test tool for NPU inference precision and performance**：Using Python to encapsulate the C++ interface of ACL, inputting om model and original dataset images and tags, we can execute model inference and give out precision and performance of the om model
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