Skip to content

Technical Report of Model Quantization Simulations on Convolution Neural Network based on Aimet and pytorch

License

Notifications You must be signed in to change notification settings

trotsky1997/Technical-Report-for-QAT

Repository files navigation

Technical-Report-for-QAT

Technical Report of Model Quantization Simulations on Convolution Neural Network based on Aimet and pytorch

Files

  • acc.csv Full table of accuracy of models

  • dataprocess.py

    Python script to process experiments results

  • dataset Datasets,including MNIST,KMNIST...

  • export Exported files of models,ONNX and torch PTH

  • dlc SNPE converted models,Qualcomm's dlc format

  • lightning_logs Full records and log of tensorboard

  • Technical Report of ...pytorch.assets Picture and other assets of report's markdown file

  • main.ipynb Jupyter Notebook of model's training and quantization

  • main.py Python script of model's training and quantization

  • run_me.py Python script wrapped the main.py to train models repeatly

  • view_tensorboard.sh Bash script to run tensorboard and view full learning curves

  • Technical Report of ...pytorch.md Markdown file of report

  • Technical Report of ...pytorch.pdf PDF file of report

About

Technical Report of Model Quantization Simulations on Convolution Neural Network based on Aimet and pytorch

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages