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vjcitn/anvbiocagy:0.0.2

Manifest digest

sha256:f8f67a814fba43af4966be269684fad98abf9fa16717869c1468ca8332608b10

OS/ARCH

linux/amd64

Compressed size

1.63 GB

Last pushed

2 months by vjcitn

Type

Image

Manifest digest

sha256:f8f67a814fba43af4966be269684fad98abf9fa16717869c1468ca8332608b10

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 / 29.04 MB
6CMD ["/bin/bash"]0 B
7ENV NVARCH=x86_640 B
8ENV NVIDIA_REQUIRE_CUDA=cuda>=13.0 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<5360 B
9ENV NV_CUDA_CUDART_VERSION=13.0.88-10 B
10ARG TARGETARCH0 B
11LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
12RUN |1 TARGETARCH=amd64 /bin/sh -c4.43 MB
13ENV CUDA_VERSION=13.0.10 B
14RUN |1 TARGETARCH=amd64 /bin/sh -c100.29 MB
15RUN |1 TARGETARCH=amd64 /bin/sh -c181 B
16ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
17ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib640 B
18COPY NGC-DL-CONTAINER-LICENSE / # buildkit6.72 KB
19ENV NVIDIA_VISIBLE_DEVICES=all0 B
20ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B
21LABEL maintainer=DSP Analysis Team <[email protected]>0 B
22SHELL [/usr/bin/bash -o pipefail -c]0 B
23ENV DEBIAN_FRONTEND=noninteractive0 B
24ENV LC_ALL=en_US.UTF-80 B
25ENV PYTHON_VERSION=3.100 B
26ENV CONDA_INSTALLER=https://repo.anaconda.com/miniconda/Miniconda3-py310_25.9.1-1-Linux-x86_64.sh0 B
27ENV JUPYTER_VERSION=5.7.20 B
28ENV NODE_MAJOR=200 B
29RUN /usr/bin/bash -o pipefail -c122.65 MB
30RUN /usr/bin/bash -o pipefail -c965 B
31RUN /usr/bin/bash -o pipefail -c905 B
32RUN /usr/bin/bash -o pipefail -c51 MB
33RUN /usr/bin/bash -o pipefail -c32 B
34RUN /usr/bin/bash -o pipefail -c1.39 KB
35RUN /usr/bin/bash -o pipefail -c251 B
36RUN /usr/bin/bash -o pipefail -c120.44 KB
37RUN /usr/bin/bash -o pipefail -c46.44 MB
38ENV USER=jupyter0 B
39ENV USER_UID=10020 B
40ENV USER_HOME=/home/jupyter0 B
41RUN /usr/bin/bash -o pipefail -c4.21 KB
42RUN /usr/bin/bash -o pipefail -c32 B
43RUN /usr/bin/bash -o pipefail -c187 B
44RUN /usr/bin/bash -o pipefail -c240.47 MB
45ENV CONDA_HOME=/opt/conda0 B
46RUN /usr/bin/bash -o pipefail -c298.65 MB
47ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/conda/bin0 B
48ENV CONDA_ENV_NAME=python30 B
49ENV CONDA_ENV_HOME=/home/jupyter/.envs/python30 B
50ENV CONDA_FILES=/opt/conda/custom0 B
51COPY conda/ /opt/conda/custom # buildkit562 B
52ENV CONDA_FILES=/opt/conda/custom0 B
53ENV BASE_PYTHON_PATH=/opt/conda/bin/python3.100 B
54ENV PYTHONDONTWRITEBYTECODE=true0 B
55RUN /usr/bin/bash -o pipefail -c650 B
56RUN /usr/bin/bash -o pipefail -c75.38 MB
57RUN /usr/bin/bash -o pipefail -c6.53 KB
58RUN /usr/bin/bash -o pipefail -c11 MB
59COPY uv.lock . # buildkit42.22 KB
60COPY pyproject.toml . # buildkit595 B
61ENV UV_LINK_MODE=copy UV_COMPILE_BYTECODE=1 UV_VENV_SEED=false UV_NO_CACHE=true0 B
62ADD https://astral.sh/uv/install.sh /uv-installer.sh # buildkit15.67 KB
63RUN /usr/bin/bash -o pipefail -c23.34 MB
64ENV PATH=/root/.local/bin/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/conda/bin0 B
65ENV JUPYTER_HOME=/etc/jupyter0 B
66RUN /usr/bin/bash -o pipefail -c80.11 MB
67ENV PATH=/root/.local/bin/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/conda/bin:/etc/jupyter/bin0 B
68RUN /usr/bin/bash -o pipefail -c344 B
69ENV JUPYTER_SCRIPTS=/etc/jupyter/scripts0 B
70ENV JUPYTER_CUSTOM=/etc/jupyter/custom0 B
71ENV JUPYTER_EXTENSIONS=/etc/jupyter/scripts/extension0 B
72ENV JUPYTER_KERNEL=/etc/jupyter/scripts/kernel0 B
73COPY scripts /etc/jupyter/scripts # buildkit2.26 KB
74COPY custom /etc/jupyter/custom # buildkit14.19 KB
75COPY jupyter_notebook_config.py /etc/jupyter # buildkit956 B
76RUN /usr/bin/bash -o pipefail -c257.56 MB
77RUN /usr/bin/bash -o pipefail -c505 B
78ENV JUPYTER_KERNELSPEC_DIR=/usr/local/share/jupyter/0 B
79RUN /usr/bin/bash -o pipefail -c7.45 KB
80ENV WELDER_USER=welder-user0 B
81ENV WELDER_UID=10010 B
82RUN /usr/bin/bash -o pipefail -c4.39 KB
83RUN /usr/bin/bash -o pipefail -c165 B
84EXPOSE []0 B
85WORKDIR /home/jupyter32 B
86ENV PATH=/root/.local/bin/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/conda/bin:/etc/jupyter/bin:/.local/bin:/packages/bin0 B
87ENV PIP_USER=true0 B
88USER jupyter0 B
89ENTRYPOINT ["/etc/jupyter/bin/jupyter" "notebook"]0 B
90USER root0 B
91RUN /usr/bin/bash -o pipefail -c60.61 MB
92RUN /usr/bin/bash -o pipefail -c913 B
93RUN /usr/bin/bash -o pipefail -c268 B
94RUN /usr/bin/bash -o pipefail -c157.4 MB
95RUN /usr/bin/bash -o pipefail -c646.43 KB
96RUN /usr/bin/bash -o pipefail -c60.78 MB
97RUN /usr/bin/bash -o pipefail -c92 B
98RUN /usr/bin/bash -o pipefail -c50.38 MB
99USER jupyter0 B

Command

 ARG RELEASE