Inherited Repo from torchstat

This is an inherited repository from the package torchstat. I updated it a little for transplantation over EdgeNNWorkshop, which is a private project developed for applying neural networks on edge computing cases.

Usage

conda activate <pytorch-env>
pip install torchstat # conda install torchstat

# check the torchstat installation position
# overwrite the torchstat dir with files under this repo
cp TorchStats/*.py <torchstat-dir>/torchstat/ 

Demo

from torchstat import stat
import torchvision.models as models

# make sure this stats tool run with cpu
model = models.resnet18()
# here you can add your own logger with the stat output as info
stat(model, (3, 224, 224), logger=None)

Improvements

• The module wrappers are removed after stats are logged so that one can train his own model with either GPU or CPU as he likes.
• The module buffers are removed so that one can trace the modules and avoid duplicated key errors.