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We refer in this guide to an image of the NVIDIA NGC or other catalogues (e.g., Docker) as base image.  For example, the docker image docker://nvcr.io#NVIDIA/tensorflow:20.12-tf1-py3 (from NVIDIA NGC catalogue) is used in Section 3 of this guide as base image. Let us assume then we have the variable where the label of that image is stored. (e.g., BASE_IMAGE=docker://nvcr.ioio#NVIDIA/NVIDIA/tensorflow:20.12-tf1-py3).)

Choose the target system where our final custom image will be used (see 1. General Description and Resources for available target systems). For example, the partition dgx-1-p100 is used in this guide.  

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$ enroot import $BASE_IMAGE -o image-no-cuda.sqsh $BASE_IMAGE         		        # creates an Enroot container image out of that docker container
$ enroot create --name my_container_first_step image-no-cuda.sqsh # creates an Enroot container named "my_container_firs_step"

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$ enroot import $BASE_IMAGE -o base_image.sqsh  $BASE_IMAGE      # # creates an Enroot container image out of that docker container
$ enroot create --name my_container base_image.sqsh # creates an Enroot container named "my_container"

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