Fix conda activation for JupyterLab in full images + cleanup (kubeflow/kubeflow#5748)

This commit is contained in:
DavidSpek 2021-03-22 18:09:17 +01:00 committed by GitHub
parent 93b9c01880
commit 8bff0c78b5
6 changed files with 30 additions and 20 deletions

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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-pytorch:master-8dea1707
FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-pytorch:master-abf9ec48
# install - requirements.txt
COPY --chown=jovyan:users requirements.txt /tmp/requirements.txt

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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-pytorch-cuda:master-8dea1707
FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-pytorch-cuda:master-abf9ec48
# install - requirements.txt
COPY --chown=jovyan:users requirements.txt /tmp/requirements.txt

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# kubeflow packages
kfp==1.0.4
kfp-server-api==1.0.4
kfserving==0.4.1
ipywidgets==7.6.3
ipympl==0.6.3
# common packages
bokeh==2.3.0
cloudpickle==1.6.0
dill==0.3.3
bokeh==2.3.0
seaborn==0.11.1
scipy==1.6.1
scikit-learn==0.24.1
scikit-image==0.18.1
pandas==1.2.3
ipympl==0.6.3
ipywidgets==7.6.3
matplotlib==3.3.4
pandas==1.2.3
scikit-image==0.18.1
scikit-learn==0.24.1
scipy==1.6.1
seaborn==0.11.1
xgboost==1.3.3
# pytorch packages
#torchelastic==0.2.2 this currently causes a dependency conflict, should be fixed very soon
fastai==2.2.7

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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow:master-d609b9e1
FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow:master-abf9ec48
# install - requirements.txt
COPY --chown=jovyan:users requirements.txt /tmp/requirements.txt

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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow-cuda:master-d609b9e1
FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow-cuda:master-abf9ec48
# install - requirements.txt
COPY --chown=jovyan:users requirements.txt /tmp/requirements.txt

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# kubeflow packages
kfp==1.0.4
kfp-server-api==1.0.4
kfserving==0.4.1
ipywidgets==7.6.3
ipympl==0.6.3
# common packages
bokeh==2.3.0
cloudpickle==1.6.0
dill==0.3.3
bokeh==2.3.0
seaborn==0.11.1
scipy==1.6.1
scikit-learn==0.24.1
scikit-image==0.18.1
pandas==1.2.3
ipympl==0.6.3
ipywidgets==7.6.3
matplotlib==3.3.4
pandas==1.2.3
scikit-image==0.18.1
scikit-learn==0.24.1
scipy==1.6.1
seaborn==0.11.1
xgboost==1.3.3
# tensorflow packages
keras==2.4.3