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update environment
- closes #10 - related to SyneRBI/PETRIC-backend#6
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README.md

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@@ -44,7 +44,7 @@ Additional dependencies may be specified via `apt.txt`, `environment.yml`, and/o
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channels: [conda-forge, nvidia]
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dependencies:
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- cupy
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- cuda-version =11.8
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- cuda-version 12.8.*
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- pip
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- pip:
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- git+https://github.com/MyResearchGroup/prize-winning-algos
@@ -53,7 +53,7 @@ Additional dependencies may be specified via `apt.txt`, `environment.yml`, and/o
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- `requirements.txt`: passed to `pip install`, e.g.:
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```txt
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cupy-cuda11x
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cupy-cuda12x
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git+https://github.com/MyResearchGroup/prize-winning-algos
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```
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@@ -78,10 +78,8 @@ docker run --rm -it --gpus all -p 6006:6006 \
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-v /path/to/data:/mnt/share/petric:ro \
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-v .:/workdir -w /workdir synerbi/sirf:edge-gpu /bin/bash
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# 3. install metrics & GPU libraries
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conda install monai tensorboard tensorboardx jupytext cudatoolkit=11.8
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pip uninstall torch # monai installs pytorch (CPU), so remove it
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pip install tensorflow[and-cuda]==2.14 # last to support cu118
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pip install torch --index-url https://download.pytorch.org/whl/cu118
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conda install -y tensorboard tensorboardx jupytext
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pip install git+https://github.com/Project-MONAI/[email protected] tensorflow[and-cuda]==2.20 --extra-index-url https://download.pytorch.org/whl/cu128
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pip install git+https://github.com/TomographicImaging/Hackathon-000-Stochastic-QualityMetrics
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# 4. optionally, conda/pip/apt install environment.yml/requirements.txt/apt.txt
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# 5. run your submission

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