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Usage of convert.py

:link_to_translation:`zh_CN:[中文]`

The script :project_file:`tools/convert_tool/convert.py` quantizes floating-point coefficients in .npy files to C/C++ code in .cpp and .hpp files. It also converts the element order of coefficients to boost operations.

convert.py runs according to config.json, a necessary configuration file for a model. For how to write a config.json file, please refer to :doc:`specification-of-config-json`.

Please note that convert.py requires Python 3.7 or versions higher.

Argument Description

When you run convert.py, the following arguments should be filled:

Argument Value
-t | –target_chip esp32 | esp32s2 |esp32s3 | esp32c3
-i | –input_root directory of npy files and json file
-j | –json_file_name name of json file (default: config.json)
-n | –name name of output files
-o | –output_root directory of output files
-q | –quant quantization granularity 0(default) for per-tensor, 1 for per-channel

Example

Assume that:

  • the relative path of convert.py is ./convert.py
  • target_chip is esp32s3
  • npy files and config.json are in directory ./my_input_directory
  • name of output files is my_coefficient
  • output files will be stored in directory ./my_output_directory

Execute the following command:

python ./convert.py -t esp32s3 -i ./my_input_directory -n my_coefficient -o ./my_output_directory

Then, my_coefficient.cpp and my_coefficient.hpp would be generated in ./my_output_directory.