Fix conda activation for JupyterLab in full images + cleanup (kubeflow/kubeflow#5748)
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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-pytorch:master-8dea1707
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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-pytorch:master-abf9ec48
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# install - requirements.txt
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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
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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-pytorch-cuda:master-abf9ec48
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# install - requirements.txt
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COPY --chown=jovyan:users requirements.txt /tmp/requirements.txt
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# kubeflow packages
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kfp==1.0.4
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kfp-server-api==1.0.4
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kfserving==0.4.1
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ipywidgets==7.6.3
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ipympl==0.6.3
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# common packages
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bokeh==2.3.0
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cloudpickle==1.6.0
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dill==0.3.3
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bokeh==2.3.0
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seaborn==0.11.1
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scipy==1.6.1
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scikit-learn==0.24.1
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scikit-image==0.18.1
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pandas==1.2.3
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ipympl==0.6.3
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ipywidgets==7.6.3
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matplotlib==3.3.4
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pandas==1.2.3
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scikit-image==0.18.1
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scikit-learn==0.24.1
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scipy==1.6.1
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seaborn==0.11.1
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xgboost==1.3.3
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# pytorch packages
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#torchelastic==0.2.2 this currently causes a dependency conflict, should be fixed very soon
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fastai==2.2.7
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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow:master-d609b9e1
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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow:master-abf9ec48
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# install - requirements.txt
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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
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FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow-cuda:master-abf9ec48
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# install - requirements.txt
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COPY --chown=jovyan:users requirements.txt /tmp/requirements.txt
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@ -1,16 +1,21 @@
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# kubeflow packages
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kfp==1.0.4
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kfp-server-api==1.0.4
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kfserving==0.4.1
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ipywidgets==7.6.3
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ipympl==0.6.3
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# common packages
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bokeh==2.3.0
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cloudpickle==1.6.0
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dill==0.3.3
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bokeh==2.3.0
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seaborn==0.11.1
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scipy==1.6.1
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scikit-learn==0.24.1
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scikit-image==0.18.1
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pandas==1.2.3
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ipympl==0.6.3
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ipywidgets==7.6.3
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matplotlib==3.3.4
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pandas==1.2.3
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scikit-image==0.18.1
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scikit-learn==0.24.1
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scipy==1.6.1
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seaborn==0.11.1
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xgboost==1.3.3
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# tensorflow packages
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keras==2.4.3
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