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New ILAB Kernel - 2024.02 #14
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@ssfinch is there awscli in the current ilab-pytorch environment? |
Doesn't look like it.. [sstrong@ilab201 ilab]$ micromamba activate /panfs/ccds02/app/modules/jupyter/ilab/pytorch-kernel |
DEV kernel build steps: # Step 1, install pytorch, rapids, cuda micromamba create -p /panfs/ccds02/app/modules/jupyter/ilab/dev/pytorch-dev-rapids-v23_10-v20 -c rapidsai -c conda-forge -c pytorch -c nvidia rapids python=3.11 cuda-version pytorch torchvision torchaudio pytorch-cuda # Step 2, activate env [sstrong@ilab201 envs]$ micromamba activate /panfs/ccds02/app/modules/jupyter/ilab/dev/pytorch-dev-rapids-v23_10-v## # Step 3, install all the others (pytorch-dev-rapids-v23_10-v17) [sstrong@ilab201 envs]$ micromamba install -c conda-forge -c legate pip xarray dask matplotlib numpy pandas scikit-learn netCDF4 ipympl nodejs gdal rasterio seaborn geoviews cartopy hvplot holoviews rioxarray mkl jupyter-dash ipysheet=0.6.0 pytest omegaconf black contextily rio-cogeo localtileserver jupyter-server-proxy dask-geopandas ipyleaflet=0.19.1 leafmap pooch pythreejs owslib cunumeric optuna ipykernel plotnine mizani tiler hydra-core ipywidgets datasets webdataset rasterstats optuna dask-geopandas h5py pyarrow earthaccess huggingface_hub psycopg2 -y # Step 4 , install condo-forge::flask-restx=1.2.0 (pytorch-dev-rapids-v23_10-v17) [sstrong@ilab201 envs]$ micromamba install conda-forge::flask-restx=1.2.0 # Step 5, remove torchvision [sstrong@ilab201 envs]$ micromamba activate pytorch-dev-rapids-v23_10-v## # Step 6, Install torchvision (while still in the env) (pytorch-dev-rapids-v23_10-v17) [sstrong@ilab201 envs]$ pip install torchvision # Step 7, Install matplotlib-scalebar (while still in env) micromamba install conda-forge::matplotlib-scalebar # Step 8, Install yacs (while still in env) pip install yacs # Step 9 , Install timm torchgeo (while still in env). New request from Jordan Pip install timm torchgeo opencv-python # Step 10, New request on 10/24/24 from Jordan Pip install geemap earthengine-api # Step 11, had to re install hd4 and lingual-hdf4. Due to error on in modis validation NB 10/25/24 (/panfs/ccds02/app/modules/jupyter/ilab/pytorch-kernel-latest) [sstrong@ilab201 ilab]$ mamba install -c conda-forge hdf4 libgdal-hdf4 # Step 12, had to re install rioarray rasterio Due to error in modis water validation NB. 10/25/24 (/panfs/ccds02/app/modules/jupyter/ilab/pytorch-kernel-latest) [sstrong@ilab201 ilab]$ mamba install --force-reinstall -c conda-forge rioxarray rasterio |
We will update with the existing version of the environment.
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