Metadata-Version: 2.4
Name: thsolver
Version: 1.1.8
Summary: Solver for PyTorch
Home-page: https://github.com/octree-nn/solver-pytorch
Author: Peng-Shuai Wang
Author-email: wangps@hotmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch
Requires-Dist: numpy
Requires-Dist: yacs
Requires-Dist: tqdm
Requires-Dist: packaging
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# The Solver for PyTorch

[![PyPI Downloads](https://static.pepy.tech/badge/thsolver)](https://pepy.tech/project/thsolver)
[![PyPI](https://img.shields.io/pypi/v/thsolver)](https://pypi.org/project/thsolver/)


The code can be used for training/testing PyTorch models. It is used in the
[O-CNN](https://github.com/octree-nn/ocnn-pytorch) and my daily experiments.
It is similar to `pytorch-lightning`, but with much simpler implementations.
It can be installed via `pip` and used as a library:

- Install via the following command:
    ``` shell
    pip install thsolver
    ```

- Alternatively, install from the source code via the following commands.
    ``` shell
    git clone https://github.com/octree-nn/solver-pytorch.git
    pip install ./solver-pytorch
    ```

Welcome to use it and give me feedbacks via github issues or pull requests.
Thanks!
