This package is a light-weight core library that provides the most common and essential functionalities shared in various deep learning tasks:

• Trainer: does tedious training logic for you.
• LRWarmupScheduler: wraps all standard PyTorch LR scheduler to support warmup.
• ConfigArgumentParser: provides a argument parser that supports loading a YAML configuration file.
• ......

git clone https://github.com/serend1p1ty/core-pytorch-utils.git
cd core-pytorch-utils
pip install -r requirements.txt
pip install -v -e .

In examples/ folder, we show how to use our Trainer to train a CNN on MINIST.

It is strongly recommended that you run this code before using the CPU library.

Learn more from our documentaion.

CPU is released under the MIT License.

We refered mmcv, detectron2 and pytorch-image-models when develping CPU.