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rapidsai/cuvs-bench-datasets:24.12a-cuda12.0-py3.11-amd64

Manifest digest

sha256:9d798e34a5924d1adcc9cb154f15cdfdec534a05897d01921a959b489934afcd

OS/ARCH

linux/amd64

Compressed size

12.34 GB

Last pushed

over 1 year by gpucibot

Type

Image

Manifest digest

sha256:9d798e34a5924d1adcc9cb154f15cdfdec534a05897d01921a959b489934afcd

Image Layers

Image Layers

1ARG RELEASE0 B
2ARG LAUNCHPAD_BUILD_ARCH0 B
3LABEL org.opencontainers.image.ref.name=ubuntu0 B
4LABEL org.opencontainers.image.version=22.040 B
5ADD file ... in / 28.17 MB
6CMD ["/bin/bash"]0 B
7ENV NVARCH=x86_640 B
8ENV NVIDIA_REQUIRE_CUDA=cuda>=12.0 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<4710 B
9ENV NV_CUDA_CUDART_VERSION=12.0.146-10 B
10ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-00 B
11ARG TARGETARCH0 B
12LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
13RUN |1 TARGETARCH=amd64 /bin/sh -c4.41 MB
14ENV CUDA_VERSION=12.0.10 B
15RUN |1 TARGETARCH=amd64 /bin/sh -c52.85 MB
16RUN |1 TARGETARCH=amd64 /bin/sh -c188 B
17ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
18ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib640 B
19COPY NGC-DL-CONTAINER-LICENSE / # buildkit6.72 KB
20ENV NVIDIA_VISIBLE_DEVICES=all0 B
21ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B
22ARG LINUX_VER=ubuntu22.040 B
23ARG PYTHON_VER=3.110 B
24ARG PYTHON_VER_UPPER_BOUND=3.12.0a00 B
25ARG DEBIAN_FRONTEND=noninteractive0 B
26ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
27ENV PYTHON_VERSION=3.110 B
28SHELL [/bin/bash -euo pipefail -c]0 B
29RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.11 PYTHON_VER_UPPER_BOUND=3.12.0a02.69 KB
30COPY --chown=root:conda --chmod=770 /opt/conda /opt/conda97.76 MB
31RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.11 PYTHON_VER_UPPER_BOUND=3.12.0a0125 B
32RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.11 PYTHON_VER_UPPER_BOUND=3.12.0a055.43 MB
33RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.11 PYTHON_VER_UPPER_BOUND=3.12.0a02.38 KB
34RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.11 PYTHON_VER_UPPER_BOUND=3.12.0a02.09 KB
35RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.11 PYTHON_VER_UPPER_BOUND=3.12.0a062.93 MB
36ARG CUDA_VER=12.0.10 B
37ARG RAPIDS_VER=24.120 B
38COPY condarc /opt/conda/.condarc # buildkit252 B
39SHELL [/bin/bash -euo pipefail -c]0 B
40RUN |2 CUDA_VER=12.0.1 RAPIDS_VER=24.12 /bin/bash1.24 KB
41RUN |2 CUDA_VER=12.0.1 RAPIDS_VER=24.12 /bin/bash11.09 MB
42RUN |2 CUDA_VER=12.0.1 RAPIDS_VER=24.12 /bin/bash3.2 GB
43RUN |2 CUDA_VER=12.0.1 RAPIDS_VER=24.12 /bin/bash4.15 KB
44USER rapids0 B
45WORKDIR /data/benchmarks128 B
46COPY cuvs-bench/run_benchmark.sh /data/scripts/run_benchmark.sh # buildkit897 B
47CMD ["--dataset fashion-mnist-784-euclidean" "" "--algorithms0 B
48ENTRYPOINT ["/bin/bash" "/data/scripts/run_benchmark.sh"]0 B
49SHELL [/bin/bash -euo pipefail -c]0 B
50COPY cuvs-bench/get_datasets.sh /home/rapids/cuvs-bench/get_datasets.sh # buildkit396 B
51COPY cuvs-bench/run_benchmarks_preloaded_datasets.sh /data/scripts/run_benchmarks_preloaded_datasets.sh # buildkit1004 B
52RUN |2 CUDA_VER=12.0.1 RAPIDS_VER=24.12 /bin/bash8.84 GB
53CMD ["--dataset fashion-mnist-784-euclidean" "" "--algorithms0 B
54ENTRYPOINT ["/bin/bash" "/data/scripts/run_benchmarks_preloaded_datasets.sh"]0 B

Command

 ARG RELEASE