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31 lines
1.2 KiB
Docker
31 lines
1.2 KiB
Docker
# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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ARG REGISTRY=quay.io
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ARG OWNER=jupyter
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ARG BASE_IMAGE=$REGISTRY/$OWNER/scipy-notebook
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FROM $BASE_IMAGE
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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# Fix: https://github.com/hadolint/hadolint/wiki/DL4006
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# Fix: https://github.com/koalaman/shellcheck/wiki/SC3014
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SHELL ["/bin/bash", "-o", "pipefail", "-c"]
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# Install PyTorch with pip (https://pytorch.org/get-started/locally/)
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# hadolint ignore=DL3013
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RUN pip install --no-cache-dir --extra-index-url=https://pypi.nvidia.com --index-url 'https://download.pytorch.org/whl/cu121' \
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'torch' \
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'torchaudio' \
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'torchvision' && \
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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# https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html#dockerfiles
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ENV NVIDIA_VISIBLE_DEVICES="all" \
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NVIDIA_DRIVER_CAPABILITIES="compute,utility"
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# Puts the nvidia-smi binary (system management interface) on path
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# with associated library files to execute it
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ENV PATH="${PATH}:/usr/local/nvidia/bin" \
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LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64"
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