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name: Publish Docs | ||
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on: | ||
push: | ||
branches: [ main ] | ||
release: | ||
types: [ created ] | ||
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concurrency: | ||
group: ${{ github.workflow }}-${{ github.head_ref || github.ref }} | ||
cancel-in-progress: true | ||
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jobs: | ||
docs: | ||
name: Publish Docs | ||
runs-on: ubuntu-latest | ||
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steps: | ||
- uses: actions/checkout@v3 | ||
with: | ||
persist-credentials: false | ||
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- name: Setup Conda | ||
uses: s-weigand/setup-conda@v1 | ||
with: | ||
python-version: 3.9 | ||
conda-channels: conda-forge | ||
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- name: Install and Build | ||
shell: bash | ||
run: | | ||
conda config --prepend channels conda-forge | ||
conda config --set channel_priority strict | ||
conda create -n docs python=3.9 rasterio xarray scipy pyproj pandoc sphinx sphinx-autodoc-typehints jupyter_sphinx sphinx_rtd_theme sphinx-click nbsphinx myst-nb | ||
source activate docs | ||
python -m pip install -e .[doc] | ||
sphinx-build -b html docs/ docs/_build/ | ||
#cd docs/ | ||
#make html | ||
- name: Deploy 🚀 | ||
uses: JamesIves/github-pages-deploy-action@v4 | ||
if: ${{ github.event_name == 'release' }} | ||
with: | ||
token: ${{ secrets.GITHUB_TOKEN }} | ||
branch: gh-pages | ||
folder: docs/_build/ | ||
#folder: docs/_build/html | ||
clean: false | ||
target-folder: ${{ github.ref }} | ||
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- name: Deploy 🚀 | ||
uses: JamesIves/github-pages-deploy-action@v4 | ||
if: ${{ github.event_name == 'push' }} | ||
with: | ||
token: ${{ secrets.GITHUB_TOKEN }} | ||
branch: gh-pages | ||
folder: docs/_build/ | ||
#folder: docs/_build/html | ||
clean: false | ||
target-folder: latest |
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name: Publish package | ||
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name: Publish to PyPI.org | ||
on: | ||
workflow_dispatch: | ||
release: | ||
types: [published] | ||
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jobs: | ||
pypi-publish: | ||
pypi: | ||
runs-on: ubuntu-latest | ||
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steps: | ||
- uses: actions/checkout@v2 | ||
with: | ||
fetch-depth: 0 | ||
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- name: Set up Python | ||
uses: actions/setup-python@v2 | ||
with: | ||
python-version: '3.x' | ||
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- name: Install build package | ||
run: | | ||
python -m pip install --upgrade pip | ||
python -m pip install build --user | ||
- name: Build distribution | ||
run: | | ||
python -m build --sdist --wheel --outdir dist/ . | ||
- name: Publish to PyPI | ||
uses: pypa/gh-action-pypi-publish@master | ||
with: | ||
password: ${{ secrets.PYPI_API_TOKEN }} | ||
- name: Checkout | ||
uses: actions/checkout@v3 | ||
with: | ||
fetch-depth: 0 | ||
- run: python3 -m pip install --upgrade build && python3 -m build | ||
- name: Publish package | ||
uses: pypa/gh-action-pypi-publish@release/v1 | ||
with: | ||
password: ${{ secrets.PYPI_API_TOKEN }} |
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================ | ||
pytorch-caney | ||
================ | ||
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Python package for lots of Pytorch tools for geospatial science problems. | ||
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.. image:: https://zenodo.org/badge/472450059.svg | ||
:target: https://zenodo.org/badge/latestdoi/472450059 | ||
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Objectives | ||
------------ | ||
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- Library to process remote sensing imagery using GPU and CPU parallelization. | ||
- Machine Learning and Deep Learning image classification and regression. | ||
- Agnostic array and vector-like data structures. | ||
- User interface environments via Notebooks for easy to use AI/ML projects. | ||
- Example notebooks for quick AI/ML start with your own data. | ||
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Installation | ||
---------------- | ||
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The following library is intended to be used to accelerate the development of data science products | ||
for remote sensing satellite imagery, or any other applications. pytorch-caney can be installed | ||
by itself, but instructions for installing the full environments are listed under the requirements | ||
directory so projects, examples, and notebooks can be run. | ||
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Note: PIP installations do not include CUDA libraries for GPU support. Make sure NVIDIA libraries | ||
are installed locally in the system if not using conda/mamba. | ||
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```bash | ||
module load singularity # if a module needs to be loaded | ||
singularity build --sandbox pytorch-caney-container docker://nasanccs/pytorch-caney:latest | ||
``` | ||
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Why Caney? | ||
--------------- | ||
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"Caney" means longhouse in Taíno. | ||
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Contributors | ||
------------- | ||
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- Jordan Alexis Caraballo-Vega, [email protected] | ||
- Caleb Spradlin, [email protected] | ||
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Contributing | ||
------------- | ||
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Please see our [guide for contributing to pytorch-caney](CONTRIBUTING.md). | ||
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SatVision | ||
------------ | ||
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| name | pretrain | resolution | #params | | ||
| :---: | :---: | :---: | :---: | | ||
| SatVision-B | MODIS-1.9-M | 192x192 | 84.5M | | ||
SatVision Datasets | ||
----------------------- | ||
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| name | bands | resolution | #chips | | ||
| :---: | :---: | :---: | :---: | | ||
| MODIS-Small | 7 | 128x128 | 1,994,131 | | ||
Pre-training with Masked Image Modeling | ||
----------------------------------------- | ||
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To pre-train the swinv2 base model with masked image modeling pre-training, run: | ||
```bash | ||
torchrun --nproc_per_node <NGPUS> pytorch-caney/pytorch_caney/pipelines/pretraining/mim.py --cfg <config-file> --dataset <dataset-name> --data-paths <path-to-data-subfolder-1> --batch-size <batch-size> --output <output-dir> --enable-amp | ||
``` | ||
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For example to run on a compute node with 4 GPUs and a batch size of 128 on the MODIS SatVision pre-training dataset with a base swinv2 model, run: | ||
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```bash | ||
singularity shell --nv -B <mounts> /path/to/container/pytorch-caney-container | ||
Singularity> export PYTHONPATH=$PWD:$PWD/pytorch-caney | ||
Singularity> torchrun --nproc_per_node 4 pytorch-caney/pytorch_caney/pipelines/pretraining/mim.py --cfg pytorch-caney/examples/satvision/mim_pretrain_swinv2_satvision_base_192_window12_800ep.yaml --dataset MODIS --data-paths /explore/nobackup/projects/ilab/data/satvision/pretraining/training_* --batch-size 128 --output . --enable-amp | ||
``` | ||
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This example script runs the exact configuration used to make the SatVision-base model pre-training with MiM and the MODIS pre-training dataset. | ||
```bash | ||
singularity shell --nv -B <mounts> /path/to/container/pytorch-caney-container | ||
Singularity> cd pytorch-caney/examples/satvision | ||
Singularity> ./run_satvision_pretrain.sh | ||
``` | ||
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Fine-tuning Satvision-base | ||
----------------------------- | ||
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To fine-tune the satvision-base pre-trained model, run: | ||
```bash | ||
torchrun --nproc_per_node <NGPUS> pytorch-caney/pytorch_caney/pipelines/finetuning/finetune.py --cfg <config-file> --pretrained <path-to-pretrained> --dataset <dataset-name> --data-paths <path-to-data-subfolder-1> --batch-size <batch-size> --output <output-dir> --enable-amp | ||
``` | ||
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See example config files pytorch-caney/examples/satvision/finetune_satvision_base_*.yaml to see how to structure your config file for fine-tuning. | ||
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Testing | ||
------------ | ||
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For unittests, run this bash command to run linting and unit test runs. This will execute unit tests and linting in a temporary venv environment only used for testing. | ||
```bash | ||
git clone [email protected]:nasa-nccs-hpda/pytorch-caney.git | ||
cd pytorch-caney; bash test.sh | ||
``` | ||
or run unit tests directly with container or anaconda env | ||
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```bash | ||
git clone [email protected]:nasa-nccs-hpda/pytorch-caney.git | ||
singularity build --sandbox pytorch-caney-container docker://nasanccs/pytorch-caney:latest | ||
singularity shell --nv -B <mounts> /path/to/container/pytorch-caney-container | ||
cd pytorch-caney; python -m unittest discover pytorch_caney/tests | ||
``` | ||
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```bash | ||
git clone [email protected]:nasa-nccs-hpda/pytorch-caney.git | ||
cd pytorch-caney; conda env create -f requirements/environment_gpu.yml; | ||
conda activate pytorch-caney | ||
python -m unittest discover pytorch_caney/tests | ||
``` | ||
References | ||
------------ | ||
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- `Pytorch Lightning <https://github.com/Lightning-AI/lightning>`_ | ||
- `Swin Transformer <https://github.com/microsoft/Swin-Transformer>`_ | ||
- `SimMIM <https://github.com/microsoft/SimMIM>`_ |
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# Minimal makefile for Sphinx documentation | ||
# | ||
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# You can set these variables from the command line, and also | ||
# from the environment for the first two. | ||
SPHINXOPTS ?= | ||
SPHINXBUILD ?= sphinx-build | ||
SOURCEDIR = . | ||
BUILDDIR = _build | ||
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# Put it first so that "make" without argument is like "make help". | ||
help: | ||
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) | ||
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.PHONY: help Makefile | ||
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# Catch-all target: route all unknown targets to Sphinx using the new | ||
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). | ||
%: Makefile | ||
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) |
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# Configuration file for the Sphinx documentation builder. | ||
# | ||
# For the full list of built-in configuration values, see the documentation: | ||
# https://www.sphinx-doc.org/en/master/usage/configuration.html | ||
import os | ||
import sys | ||
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sys.path.insert(0, os.path.abspath('..')) | ||
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import pytorch_caney | ||
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# package_path = os.path.abspath('..') | ||
# os.environ['PYTHONPATH'] = ':'.join((package_path, os.environ.get('PYTHONPATH', ''))) | ||
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# -- Project information ----------------------------------------------------- | ||
# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information | ||
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project = 'pytorch-caney' | ||
copyright = '2023, Jordan A. Caraballo-Vega' | ||
author = 'Jordan A. Caraballo-Vega' | ||
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# -- General configuration --------------------------------------------------- | ||
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration | ||
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extensions = [ | ||
'sphinx.ext.autodoc', | ||
'sphinx_autodoc_typehints', | ||
'jupyter_sphinx.execute', | ||
"sphinx.ext.intersphinx", | ||
"sphinx.ext.viewcode", | ||
"sphinx.ext.napoleon", | ||
"sphinx_click.ext", | ||
"sphinx.ext.githubpages", | ||
"nbsphinx", | ||
] | ||
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intersphinx_mapping = { | ||
"pyproj": ("https://pyproj4.github.io/pyproj/stable/", None), | ||
"rasterio": ("https://rasterio.readthedocs.io/en/stable/", None), | ||
"xarray": ("http://xarray.pydata.org/en/stable/", None), | ||
} | ||
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templates_path = ['_templates'] | ||
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] | ||
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# -- Options for HTML output ------------------------------------------------- | ||
# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output | ||
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#source_suffix ={ | ||
# '.rst': 'restructuredtext', | ||
# '.txt': 'markdown', | ||
# '.md': 'markdown', | ||
# '.ipynb': 'myst-nb' | ||
#} | ||
master_doc = "index" | ||
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version = release = pytorch_caney.__version__ | ||
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pygments_style = "sphinx" | ||
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todo_include_todos = False | ||
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html_theme = 'sphinx_rtd_theme' | ||
html_logo = 'static/DSG_LOGO_REDESIGN.png' | ||
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# html_static_path = ['_static/'] | ||
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myst_enable_extensions = [ | ||
"amsmath", | ||
"colon_fence", | ||
"deflist", | ||
"dollarmath", | ||
"html_image", | ||
] | ||
myst_url_schemes = ("http", "https", "mailto") |
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.. toctree:: | ||
:maxdepth: 2 | ||
:caption: Contents: |
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.. pytorch-caney's documentation master file, created by | ||
sphinx-quickstart on Fri Jun 23 11:32:18 2023. | ||
You can adapt this file completely to your liking, but it should at least | ||
contain the root `toctree` directive. | ||
Welcome to pytorch-caney's documentation! | ||
========================================= | ||
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.. toctree:: | ||
:maxdepth: 2 | ||
:caption: Contents: | ||
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readme | ||
examples | ||
modules | ||
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Indices and tables | ||
================== | ||
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* :ref:`genindex` | ||
* :ref:`modindex` | ||
* :ref:`search` |
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@ECHO OFF | ||
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pushd %~dp0 | ||
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REM Command file for Sphinx documentation | ||
|
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if "%SPHINXBUILD%" == "" ( | ||
set SPHINXBUILD=sphinx-build | ||
) | ||
set SOURCEDIR=. | ||
set BUILDDIR=_build | ||
|
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%SPHINXBUILD% >NUL 2>NUL | ||
if errorlevel 9009 ( | ||
echo. | ||
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx | ||
echo.installed, then set the SPHINXBUILD environment variable to point | ||
echo.to the full path of the 'sphinx-build' executable. Alternatively you | ||
echo.may add the Sphinx directory to PATH. | ||
echo. | ||
echo.If you don't have Sphinx installed, grab it from | ||
echo.https://www.sphinx-doc.org/ | ||
exit /b 1 | ||
) | ||
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if "%1" == "" goto help | ||
|
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%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% | ||
goto end | ||
|
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:help | ||
%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% | ||
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:end | ||
popd |
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