Namespace
memgraph
Image / Tagmemgraph-mage:1.3-cugraph-22.02-cuda-11.0
Content Digestsha256:8717e996f4db22c93c1655f903e091930b095fd373b39e4397387589f742a8be
Details
2022-05-20 08:37:11 UTC
2.42 GB
Labels
-
maintainerNVIDIA CORPORATION <cudatools@nvidia.com>
Environment
CUDA_VERSION11.0.3
LD_LIBRARY_PATH/usr/local/nvidia/lib:/usr/local/nvidia/lib64
MG_VERSION2.3.0
NCCL_VERSION2.12.10-1
NVARCHx86_64
NVIDIA_DRIVER_CAPABILITIEScompute,utility
NVIDIA_REQUIRE_CUDAcuda>=11.0 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450
NVIDIA_VISIBLE_DEVICESall
NV_CUDA_COMPAT_PACKAGEcuda-compat-11-0
NV_CUDA_CUDART_VERSION11.0.221-1
NV_CUDA_LIB_VERSION11.0.3-1
NV_LIBCUBLAS_PACKAGElibcublas-11-0=11.2.0.252-1
NV_LIBCUBLAS_PACKAGE_NAMElibcublas-11-0
NV_LIBCUBLAS_VERSION11.2.0.252-1
NV_LIBCUSPARSE_VERSION11.1.1.245-1
NV_LIBNCCL_PACKAGElibnccl2=2.12.10-1+cuda11.0
NV_LIBNCCL_PACKAGE_NAMElibnccl2
NV_LIBNCCL_PACKAGE_VERSION2.12.10-1
NV_LIBNPP_PACKAGElibnpp-11-0=11.1.0.245-1
NV_LIBNPP_VERSION11.1.0.245-1
NV_NVTX_VERSION11.0.167-1
PATH/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
PY_VERSION3.8
Layers
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[#005] sha256:079c2962f4ecf1d89d2fe7cfdca91e2eb44e3e391002cd30a126629ed4c836f7 - 46.42% (1.12 GB)
[#006] sha256:ec403e25c9cc5c95f2efcef93dc68a0048f62ad547d0268d70c361da876976ce - 0.0% (59.9 KB)
[#007] sha256:7719e114ca33514278d8cc3b11720e7c382652807908be3573ec2cd1c68e9256 - 0.27% (6.72 MB)
[#008] sha256:f48cb8542b60701093aebc17e4b1182ac590ed355e8ba7981d4c57d607a4e4a0 - 12.28% (305 MB)
[#009] sha256:12da25bacb8f063b074d0c9ff01881218cc6162d2f3bb7057d666303643e861b - 37.83% (939 MB)
[#010] sha256:872934dbc647a00f424be7d1ca2b10d0045ce48601dd7657f660fa751485e401 - 0.0% (179 Bytes)
[#011] sha256:23866e1ffec08dc9f1f775c3550ca0fcf24125ae9b12a8f043755620e703c366 - 1.38% (34.3 MB)
[#012] sha256:fb2586686d2ac98b375bc8aec029d1cc60cf3cce04335217b3bb49af0e348963 - 0.01% (260 KB)
History
/bin/sh -c #(nop) ADD file:7009ad0ee0bbe5ed7f381792e07347e260e6896aeee0d80597808065120fa96b in /
2022-04-29 23:20:59 UTC/bin/sh -c #(nop) CMD ["bash"]
2022-05-03 04:34:45 UTC (buildkit.dockerfile.v0)ENV NVARCH=x86_64
2022-05-03 04:34:45 UTC (buildkit.dockerfile.v0)ENV NVIDIA_REQUIRE_CUDA=cuda>=11.0 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450
2022-05-03 04:34:45 UTC (buildkit.dockerfile.v0)ENV NV_CUDA_CUDART_VERSION=11.0.221-1
2022-05-03 04:34:45 UTC (buildkit.dockerfile.v0)ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-0
2022-05-03 04:34:45 UTC (buildkit.dockerfile.v0)ARG TARGETARCH
2022-05-03 04:34:45 UTC (buildkit.dockerfile.v0)LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
2022-05-03 04:34:45 UTC (buildkit.dockerfile.v0)RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && if [ ! -z ${NV_ML_REPO_ENABLED} ]; then echo "deb ${NV_ML_REPO_URL} /" > /etc/apt/sources.list.d/nvidia-ml.list; fi && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
2022-05-03 04:34:45 UTC (buildkit.dockerfile.v0)ENV CUDA_VERSION=11.0.3
2022-05-03 04:34:54 UTC (buildkit.dockerfile.v0)RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-0=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && ln -s cuda-11.0 /usr/local/cuda && rm -rf /var/lib/apt/lists/* # buildkit
2022-05-03 04:34:54 UTC (buildkit.dockerfile.v0)RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
2022-05-03 04:34:54 UTC (buildkit.dockerfile.v0)ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-05-03 04:34:54 UTC (buildkit.dockerfile.v0)ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
2022-05-03 04:34:54 UTC (buildkit.dockerfile.v0)COPY NGC-DL-CONTAINER-LICENSE / # buildkit
2022-05-03 04:34:54 UTC (buildkit.dockerfile.v0)ENV NVIDIA_VISIBLE_DEVICES=all
2022-05-03 04:34:54 UTC (buildkit.dockerfile.v0)ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_CUDA_LIB_VERSION=11.0.3-1
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_NVTX_VERSION=11.0.167-1
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_LIBNPP_VERSION=11.1.0.245-1
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_LIBNPP_PACKAGE=libnpp-11-0=11.1.0.245-1
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_LIBCUSPARSE_VERSION=11.1.1.245-1
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-0
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_LIBCUBLAS_VERSION=11.2.0.252-1
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-0=11.2.0.252-1
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_LIBNCCL_PACKAGE_VERSION=2.12.10-1
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NCCL_VERSION=2.12.10-1
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ENV NV_LIBNCCL_PACKAGE=libnccl2=2.12.10-1+cuda11.0
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)ARG TARGETARCH
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-0=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-0=${NV_NVTX_VERSION} libcusparse-11-0=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
2022-05-03 04:36:51 UTC (buildkit.dockerfile.v0)RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2022-05-19 14:42:09 UTC/bin/sh -c #(nop) USER root
2022-05-19 14:42:09 UTC/bin/sh -c #(nop) ARG DEBIAN_FRONTEND=noninteractive
2022-05-19 14:42:10 UTC/bin/sh -c #(nop) ARG MG_VERSION
2022-05-19 14:42:10 UTC/bin/sh -c #(nop) ARG PY_VERSION
2022-05-19 14:42:10 UTC/bin/sh -c #(nop) ENV MG_VERSION=2.3.0
2022-05-19 14:42:10 UTC/bin/sh -c #(nop) ENV PY_VERSION=3.8
2022-05-20 08:36:06 UTC/bin/sh -c #(nop) COPY dir:ae68f06240cb3699f7b2b2c2b9fa24e26eba6952b0d9bd1a93e72654a0c7a459 in /usr/lib/memgraph/query_modules/
2022-05-20 08:36:10 UTC/bin/sh -c #(nop) COPY file:091aa0dcde55035128b65a9f483c827858f603175deb9aca0de176d905d5690f in /opt/conda/envs/rapids/lib/libcugraph.so
2022-05-20 08:36:34 UTC/bin/sh -c #(nop) COPY dir:90ddfc6bc0fd55bd594465122048fa04d89b05b0a661838898962921913f8c84 in /usr/local/lib/python3.8/
2022-05-20 08:36:50 UTC|1 DEBIAN_FRONTEND=noninteractive /bin/sh -c rm /etc/apt/sources.list.d/cuda.list
2022-05-20 08:37:08 UTC|1 DEBIAN_FRONTEND=noninteractive /bin/sh -c apt-get update && apt-get install -y libcurl4 `memgraph` libpython${PY_VERSION} `memgraph` libssl1.1 `memgraph` libssl-dev `memgraph` openssl `memgraph` curl `mage-memgraph` libgomp1 `mage-memgraph` python3 `mage-memgraph` python3-setuptools `mage-memgraph` && curl https://download.memgraph.com/memgraph/v${MG_VERSION}/ubuntu-20.04/memgraph_${MG_VERSION}-1_amd64.deb --output memgraph.deb && dpkg -i memgraph.deb && rm memgraph.deb && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
2022-05-20 08:37:09 UTC|1 DEBIAN_FRONTEND=noninteractive /bin/sh -c export PATH="/usr/local/lib/python${PY_VERSION}:${PATH}"
2022-05-20 08:37:10 UTC|1 DEBIAN_FRONTEND=noninteractive /bin/sh -c rm -rf /mage && export PATH="/usr/local/lib/python${PY_VERSION}:${PATH}" && apt-get -y --purge autoremove curl python3-dev && apt-get clean
2022-05-20 08:37:10 UTC/bin/sh -c #(nop) USER memgraph
2022-05-20 08:37:11 UTC/bin/sh -c #(nop) ENTRYPOINT ["/usr/lib/memgraph/memgraph"]
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