# tools

**Repository Path**: isaacxr/tools

## Basic Information

- **Project Name**: tools
- **Description**: Ascend tools
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 219
- **Created**: 2021-07-06
- **Last Updated**: 2021-08-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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# tools

#### introduce

Ascend tools   
**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.**

#### explain

1.  [msame](https://gitee.com/ascend/tools/tree/master/msame)

    **Model reasoning tool**:Input. Om model and model required input bin file, output model output data file.

2.  [img2bin](https://gitee.com/ascend/tools/tree/master/img2bin)

    **Bin file generation tool** : Generates input data required for model reasoning, saved in.bin format.

3.  [makesd](https://gitee.com/ascend/tools/tree/master/makesd)
    
    **makesd tool**：makesd tools package，Provide card making function under ubuntu.  

4.  [faster_install](https://gitee.com/ascend/tools/tree/master/faster_install)
    
    **faster_install**：environment fast install script.  

5.  [configure_usb_ethernet](https://gitee.com/ascend/tools/tree/master/configure_usb_ethernet)  
     **configure_usb_ethernet**：configuring the IP address of the USB NIC.
    
6. [pt2pb](https://gitee.com/ascend/tools/tree/master/pt2pb)  

   **pytorch model transform to tensorflow pb model tool**：input pytorch weights parameters model，transform to onnx file，then transform to pb model.

7. [dnmetis](https://gitee.com/ascend/tools/tree/master/dnmetis)  

   **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.   

8. [msquickcmp](https://gitee.com/ascend/tools/tree/master/msquickcmp)    

   **One-button precision comparison tool for the whole process**：The tool works with TensorFlow and OnNX models, input the original model and the corresponding offline OM model and output precision comparison results.    

9. [dockerimages](./dockerimages)    
   **docker images**：docker images for developing/catenation on Atlas products (Atlas200DK/Atlas300).  

10. [dockerimages](./precision_tool)    
   **precision problem analysis tools**：The toolkit provides common features of precision comparison. Currently, the tool is mainly suitable for TensorFlow training scenarios and provides interactive query and operation entry for Dump data/graph information.

11. [cann-benchmark_infer_scripts](./cann-benchmark_infer_scripts)     
    **model preprocess and postprocess scripts for cann-benchamrk inference tool**： The tool contains cann-benchamrk inference tool model processing scripts, including result analysis script, preprocess and postprocess scripts, etc.These scripts need to be used according to the cann-benchmark insturction manual. 

12. [tfdbg_ascend](./tfdbg_ascend)    
   **Tensorflow2.x dump tool**：The tool provides Tensorflow 2.x runtime data dump capability on the CPU/GPU platform.