Please note that you may require a large amount of VRAM to use this library. Data we have gathered so far: 8Gb is not enough but 24Gb is sufficient.
git clone --recursive git@github.com:dreamingspires/simCataloguer.git
You may need to install zlib, and graphics driver
https://developer.nvidia.com/cuda-11-7-0-download-archive
https://developer.nvidia.com/rdp/cudnn-download
https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html
https://www.python.org/downloads/release/python-3913/
https://pip.pypa.io/en/stable/installation/
https://python-poetry.org/docs/#installation
poetry config virtualenvs.in-project true
poetry install (You may need to run this more than once, it fails to parallel process on occasion)
poetry run pip install --extra-index-url https://download.pytorch.org/whl/cu117 --no-deps --force-reinstall torch torchvision
Go into the examples folder and run:
poetry run python test_writer.py
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