forked from idrl/idrlnet
Merge pull request #4 from zweien/dev
Update github actions for pypi, docker.
This commit is contained in:
commit
96a935d466
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@ -2,10 +2,11 @@ name: docker-build-push
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on:
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on:
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push:
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push:
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branches: [master]
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pull_request:
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pull_request:
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branches: [master]
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branches: [master]
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release:
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release:
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types: [published, created, edited]
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types: [published, edited]
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jobs:
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jobs:
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@ -25,15 +26,8 @@ jobs:
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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-
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-
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name: Build and push
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name: Print event_name
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id: docker_build
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run: echo "$GITHUB_EVENT_NAME, ${{ github.event_name }}, ${{ github.event.release.tag_name }}"
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uses: docker/build-push-action@v2
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with:
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push: true
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tags: ${{ secrets.DOCKERHUB_USERNAME }}/idrlnet:latest
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-
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name: Image digest
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run: echo ${{ steps.docker_build.outputs.digest }}
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-
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-
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name: Get release version
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name: Get release version
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@ -48,3 +42,4 @@ jobs:
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with:
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with:
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push: true
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push: true
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tags: ${{ secrets.DOCKERHUB_USERNAME }}/idrlnet:${{ steps.get_version.outputs.RELEASE_VERSION }}
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tags: ${{ secrets.DOCKERHUB_USERNAME }}/idrlnet:${{ steps.get_version.outputs.RELEASE_VERSION }}
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file: Dockerfile
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@ -0,0 +1,40 @@
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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: Publish to PyPI
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on:
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release:
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types: [published, edited]
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jobs:
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build:
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runs-on: ubuntu-latest
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strategy:
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fail-fast: false
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matrix:
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python-version: [3.7]
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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python -m pip install setuptools wheel twine
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- name: Publish to PyPI
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env:
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TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
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TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
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run: |
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python setup.py sdist bdist_wheel
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twine upload --repository-url dist/*
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- name: Install from PyPI
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run: |
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pip install -U idrlnet
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pip show idrlnet
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51
README.md
51
README.md
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@ -2,33 +2,45 @@
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[![Python](https://img.shields.io/badge/python-3.8-blue.svg)](https://python.org)
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[![Python](https://img.shields.io/badge/python-3.8-blue.svg)](https://python.org)
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[![Documentation Status](https://readthedocs.org/projects/idrlnet/badge/?version=latest)](https://idrlnet.readthedocs.io/en/latest/?badge=latest)
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[![Documentation Status](https://readthedocs.org/projects/idrlnet/badge/?version=latest)](https://idrlnet.readthedocs.io/en/latest/?badge=latest)
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# IDRLnet
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**IDRLnet** is a machine learning library on top of [PyTorch](https://pytorch.org/). Use IDRLnet if you need a machine
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learning library that solves both forward and inverse differential equations via physics-informed neural
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networks (PINN). IDRLnet is a flexible framework inspired by [Nvidia Simnet](https://developer.nvidia.com/simnet>).
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## Installation
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## Installation
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Choose one of the following installation methods.
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### PyPI
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Simple installation from PyPI
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```bash
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pip install -U idrlnet
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```
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Note: To avoid version conflicts, please use some tools to create a virtual environment first.
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### Docker
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### Docker
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```bash
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```bash
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git clone https://github.com/idrl-lab/idrlnet
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docker pull idrl/idrlnet:latest
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cd idrlnet
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docker build . -t idrlnet_dev
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docker run -it -p [EXPOSED_SSH_PORT]:22 -v [CURRENT_WORK_DIR]:/root/pinnnet idrlnet_dev:latest bash
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```
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```
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### Anaconda
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### Anaconda
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```bash
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### From Source
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```
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git clone https://github.com/idrl-lab/idrlnet
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git clone https://github.com/idrl-lab/idrlnet
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cd idrlnet
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cd idrlnet
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conda create -n idrlnet_dev python=3.8 -y
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conda activate idrlnet_dev
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pip install -r requirements.txt
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pip install -e .
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pip install -e .
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```
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```
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# IDRLnet
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IDRLnet is a machine learning library on top of [Pytorch](https://www.tensorflow.org/). Use IDRLnet if you need a machine
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learning library that solves both forward and inverse partial differential equations (PDEs) via physics-informed neural
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networks (PINN). IDRLnet is a flexible framework inspired by [Nvidia Simnet](https://developer.nvidia.com/simnet>).
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## Features
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## Features
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@ -81,3 +93,16 @@ First off, thanks for taking the time to contribute!
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IDRLnet was originally developed by IDRL lab.
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IDRLnet was originally developed by IDRL lab.
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## Citation
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Feel free to cite this library.
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```bibtex
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@article{peng2021idrlnet,
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title={IDRLnet: A Physics-Informed Neural Network Library},
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author={Wei Peng and Jun Zhang and Weien Zhou and Xiaoyu Zhao and Wen Yao and Xiaoqian Chen},
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year={2021},
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eprint={2107.04320},
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archivePrefix={arXiv},
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primaryClass={cs.LG}
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}
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```
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