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rapidsai/cuvs-bench-datasets:24.12a-cuda11.8-py3.12-amd64

Manifest digest

sha256:f268d040d885775dc7a424e036d2e661acde7484bae72f1e560880c8c0f047d7

OS/ARCH

linux/amd64

Compressed size

13.37 GB

Last pushed

over 1 year by gpucibot

Type

Image

Manifest digest

sha256:f268d040d885775dc7a424e036d2e661acde7484bae72f1e560880c8c0f047d7

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>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<4710 B
9ENV NV_CUDA_CUDART_VERSION=11.8.89-10 B
10ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-80 B
11ARG TARGETARCH0 B
12LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
13RUN |1 TARGETARCH=amd64 /bin/sh -c4.41 MB
14ENV CUDA_VERSION=11.8.00 B
15RUN |1 TARGETARCH=amd64 /bin/sh -c53.62 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=3.120 B
24ARG PYTHON_VER_UPPER_BOUND=3.13.0a00 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=3.120 B
28SHELL [/bin/bash -euo pipefail -c]0 B
29RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.12 PYTHON_VER_UPPER_BOUND=3.13.0a02.69 KB
30COPY --chown=root:conda --chmod=770 /opt/conda /opt/conda97.76 MB
31RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.12 PYTHON_VER_UPPER_BOUND=3.13.0a0126 B
32RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.12 PYTHON_VER_UPPER_BOUND=3.13.0a058.36 MB
33RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.12 PYTHON_VER_UPPER_BOUND=3.13.0a02.37 KB
34RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.12 PYTHON_VER_UPPER_BOUND=3.13.0a02.09 KB
35RUN |4 LINUX_VER=ubuntu22.04 PYTHON_VER=3.12 PYTHON_VER_UPPER_BOUND=3.13.0a062.91 MB
36ARG CUDA_VER=11.8.00 B
37ARG RAPIDS_VER=24.120 B
38COPY condarc /opt/conda/.condarc # buildkit251 B
39SHELL [/bin/bash -euo pipefail -c]0 B
40RUN |2 CUDA_VER=11.8.0 RAPIDS_VER=24.12 /bin/bash1.24 KB
41RUN |2 CUDA_VER=11.8.0 RAPIDS_VER=24.12 /bin/bash11.09 MB
42RUN |2 CUDA_VER=11.8.0 RAPIDS_VER=24.12 /bin/bash4.21 GB
43RUN |2 CUDA_VER=11.8.0 RAPIDS_VER=24.12 /bin/bash4.15 KB
44USER rapids0 B
45WORKDIR /data/benchmarks129 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 # buildkit398 B
51COPY cuvs-bench/run_benchmarks_preloaded_datasets.sh /data/scripts/run_benchmarks_preloaded_datasets.sh # buildkit1005 B
52RUN |2 CUDA_VER=11.8.0 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