Sign inSign up

eginotebooks/single-user-pytorch-notebook-gpu-sm70:latest

Manifest digest

sha256:e81806e49363e98ca55baaa52156606bafdd3a5183c9ae81e810affeb72dc711

OS/ARCH

linux/amd64

Compressed size

7.89 GB

Last pushed

about 1 year by enolfc

Type

Image

Manifest digest

sha256:e81806e49363e98ca55baaa52156606bafdd3a5183c9ae81e810affeb72dc711

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>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<4710 B
9ENV NV_CUDA_CUDART_VERSION=12.1.105-10 B
10ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-10 B
11ARG TARGETARCH0 B
12LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
13RUN |1 TARGETARCH=amd64 /bin/sh -c4.41 MB
14ENV CUDA_VERSION=12.1.10 B
15RUN |1 TARGETARCH=amd64 /bin/sh -c53.15 MB
16RUN |1 TARGETARCH=amd64 /bin/sh -c185 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
22ENV NV_CUDA_LIB_VERSION=12.1.1-10 B
23ENV NV_NVTX_VERSION=12.1.105-10 B
24ENV NV_LIBNPP_VERSION=12.1.0.40-10 B
25ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-10 B
26ENV NV_LIBCUSPARSE_VERSION=12.1.0.106-10 B
27ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-10 B
28ENV NV_LIBCUBLAS_VERSION=12.1.3.1-10 B
29ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-10 B
30ENV NV_LIBNCCL_PACKAGE_NAME=libnccl20 B
31ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-10 B
32ENV NCCL_VERSION=2.17.1-10 B
33ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.10 B
34ARG TARGETARCH0 B
35LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
36RUN |1 TARGETARCH=amd64 /bin/sh -c1.24 GB
37RUN |1 TARGETARCH=amd64 /bin/sh -c62.36 KB
38COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit1.64 KB
39COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit1.49 KB
40ENV NVIDIA_PRODUCT_NAME=CUDA0 B
41ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]0 B
42ENV NV_CUDA_LIB_VERSION=12.1.1-10 B
43ENV NV_CUDA_CUDART_DEV_VERSION=12.1.105-10 B
44ENV NV_NVML_DEV_VERSION=12.1.105-10 B
45ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-10 B
46ENV NV_LIBNPP_DEV_VERSION=12.1.0.40-10 B
47ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-10 B
48ENV NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-10 B
49ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-10 B
50ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-10 B
51ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-10 B
52ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-10 B
53ENV NV_NVPROF_VERSION=12.1.105-10 B
54ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-10 B
55ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev0 B
56ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-10 B
57ENV NCCL_VERSION=2.17.1-10 B
58ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.10 B
59ARG TARGETARCH0 B
60LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
61RUN |1 TARGETARCH=amd64 /bin/sh -c2.37 GB
62RUN |1 TARGETARCH=amd64 /bin/sh -c86.3 KB
63ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs0 B
64ENV NV_CUDNN_VERSION=8.9.0.1310 B
65ENV NV_CUDNN_PACKAGE_NAME=libcudnn80 B
66ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.10 B
67ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.10 B
68ARG TARGETARCH0 B
69LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
70LABEL com.nvidia.cudnn.version=8.9.0.1310 B
71RUN |1 TARGETARCH=amd64 /bin/sh -c1.37 GB
73LABEL description=Jupyter + PyTorch (CUDA0 B
74RUN /bin/sh -c apt-get update24.27 MB
75RUN /bin/sh -c update-alternatives --install1.76 KB
76RUN /bin/sh -c python3 -m4.53 MB
77RUN /bin/sh -c pip install78.72 MB
78RUN /bin/sh -c pip install2.72 GB
79RUN /bin/sh -c useradd -m3.73 KB
80USER jovyan0 B
81WORKDIR /home/jovyan32 B
82ENV PATH=/home/jovyan/.local/bin:/usr/local/nvidia/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
83EXPOSE map[8888/tcp:{}]0 B
84CMD ["jupyter" "lab" "--ip=0.0.0.0" "--port=8888"0 B

Command

 ARG RELEASE