Core PyTorch Utils (CPU)
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 an argument parser that supports loading a YAML configuration file.- ......
You can find a brief Chinese introduction at zhihu.
Installation
From PyPI.
pip install core-pytorch-utils
Or from source.
git clone https://github.com/serend1p1ty/core-pytorch-utils.git
cd core-pytorch-utils
pip install -r requirements.txt
pip install -v -e .
Getting Started
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.
Advanced
Learn more from our documentaion.
Contributing
Pull request is welcomed! Before submitting a PR, DO NOT forget to run ./dev/linter.sh that provides syntax checking and code style optimation.
License
CPU is released under the MIT License.
Acknowledgments
We refered mmcv, detectron2 and pytorch-image-models when develping CPU.
Release files for core-pytorch-utils 1.0.4
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| core-pytorch-utils-1.0.4.tar.gz | 28.6 kB | Details |
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| core_pytorch_utils-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.6 kB
Release files / core-pytorch-utils-1.0.4.tar.gz
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