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bioconductor/bioc-redis-jupyter:RELEASE_3_14

Manifest digest

sha256:fa57a81e20c9375837b19af97682ede0b49d633a758f80d0ca0dc5a3a6b48b0a

OS/ARCH

linux/amd64

Compressed size

7.6 GB

Last pushed

over 4 years by nitesh1989

Type

Image

Manifest digest

sha256:fa57a81e20c9375837b19af97682ede0b49d633a758f80d0ca0dc5a3a6b48b0a

Image Layers

Image Layers

1ADD file ... in / 25.47 MB
2CMD ["bash"]0 B
3ENV NVARCH=x86_640 B
4ENV NVIDIA_REQUIRE_CUDA=cuda>=11.0 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=4500 B
5ENV NV_CUDA_CUDART_VERSION=11.0.221-10 B
6ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-00 B
7ENV NV_ML_REPO_ENABLED=10 B
8ENV NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_640 B
9ARG TARGETARCH0 B
10LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
11RUN |1 TARGETARCH=amd64 /bin/sh -c6.88 MB
12ENV CUDA_VERSION=11.0.30 B
13RUN |1 TARGETARCH=amd64 /bin/sh -c9.89 MB
14RUN |1 TARGETARCH=amd64 /bin/sh -c185 B
15ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
16ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib640 B
17COPY NGC-DL-CONTAINER-LICENSE / # buildkit6.28 KB
18ENV NVIDIA_VISIBLE_DEVICES=all0 B
19ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B
20ENV NV_CUDA_LIB_VERSION=11.0.3-10 B
21ENV NV_NVTX_VERSION=11.0.167-10 B
22ENV NV_LIBNPP_VERSION=11.1.0.245-10 B
23ENV NV_LIBNPP_PACKAGE=libnpp-11-0=11.1.0.245-10 B
24ENV NV_LIBCUSPARSE_VERSION=11.1.1.245-10 B
25ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-00 B
26ENV NV_LIBCUBLAS_VERSION=11.2.0.252-10 B
27ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-0=11.2.0.252-10 B
28ENV NV_LIBNCCL_PACKAGE_NAME=libnccl20 B
29ENV NV_LIBNCCL_PACKAGE_VERSION=2.11.4-10 B
30ENV NCCL_VERSION=2.11.4-10 B
31ENV NV_LIBNCCL_PACKAGE=libnccl2=2.11.4-1+cuda11.00 B
32ARG TARGETARCH0 B
33LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
34RUN |1 TARGETARCH=amd64 /bin/sh -c1.14 GB
35RUN |1 TARGETARCH=amd64 /bin/sh -c61.31 KB
36ENV NV_CUDA_LIB_VERSION=11.0.3-10 B
37ENV NV_CUDA_CUDART_DEV_VERSION=11.0.221-10 B
38ENV NV_NVML_DEV_VERSION=11.0.167-10 B
39ENV NV_LIBCUSPARSE_DEV_VERSION=11.1.1.245-10 B
40ENV NV_LIBNPP_DEV_VERSION=11.1.0.245-10 B
41ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-0=11.1.0.245-10 B
42ENV NV_LIBCUBLAS_DEV_VERSION=11.2.0.252-10 B
43ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-00 B
44ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-0=11.2.0.252-10 B
45ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev0 B
46ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.11.4-10 B
47ENV NCCL_VERSION=2.11.4-10 B
48ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.11.4-1+cuda11.00 B
49ARG TARGETARCH0 B
50LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
51RUN |1 TARGETARCH=amd64 /bin/sh -c1011.12 MB
52RUN |1 TARGETARCH=amd64 /bin/sh -c85.53 KB
53ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs0 B
54ENV NV_CUDNN_VERSION=8.0.5.390 B
55ENV NV_CUDNN_PACKAGE=libcudnn8=8.0.5.39-1+cuda11.00 B
56ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.0.5.39-1+cuda11.00 B
57ENV NV_CUDNN_PACKAGE_NAME=libcudnn80 B
58ARG TARGETARCH0 B
59LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
60LABEL com.nvidia.cudnn.version=8.0.5.390 B
61RUN |1 TARGETARCH=amd64 /bin/sh -c1.02 GB
62LABEL com.google.environment=Container: Minimal0 B
63ENV LC_ALL=C.UTF-80 B
64ENV LANG=C.UTF-80 B
65ARG DEBIAN_FRONTEND=noninteractive0 B
66COPY images/build/packer/base/aptget-requirements.txt /aptget-requirements.txt # buildkit454 B
67RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c247.7 MB
68RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c131.49 MB
69RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c27.52 MB
70COPY packages /opt/google # buildkit11.32 KB
71ENV ANACONDA_PYTHON_VERSION=3.70 B
72ENV DL_ANACONDA_HOME=/opt/conda0 B
73RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c168.55 MB
74ENV 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
75ENV SHELL=/bin/bash0 B
76EXPOSE map[8080/tcp:{}]0 B
77VOLUME [/home/jupyter]0 B
78ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib:/usr/local/lib/x86_64-linux-gnu:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib640 B
79RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c672 B
80RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c4.43 KB
81RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c2.27 KB
82COPY packages/jupyter/ipython_kernel_config.py /etc/ipython/ipython_kernel_config.py # buildkit362 B
83COPY packages/jupyter/jupyter_notebook_config.py /opt/jupyter/.jupyter/jupyter_notebook_config.py # buildkit1.96 KB
84COPY container/entrypoint.sh /entrypoint.sh # buildkit230 B
85RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c231 B
86ENTRYPOINT ["/entrypoint.sh"]0 B
87COPY container/run_jupyter.sh /run_jupyter.sh # buildkit256 B
88RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c256 B
89CMD ["/run_jupyter.sh"]0 B
90ARG VERSION0 B
91LABEL com.google.environment=Container: TensorFlow 2-60 B
92ARG CONTAINER_NAME0 B
93ARG CONTAINER_URL0 B
94ENV CONTAINER_NAME=tf2-gpu/2-6+cu1100 B
95ENV CONTAINER_URL=gcr.io/deeplearning-platform-release/tf-gpu.2-6:nightly-2021-10-210 B
96RUN |3 VERSION=2-6 CONTAINER_NAME=tf2-gpu/2-6+cu110 CONTAINER_URL=gcr.io/deeplearning-platform-release/tf-gpu.2-6:nightly-2021-10-21171.18 MB
97RUN |3 VERSION=2-6 CONTAINER_NAME=tf2-gpu/2-6+cu110 CONTAINER_URL=gcr.io/deeplearning-platform-release/tf-gpu.2-6:nightly-2021-10-211.53 GB
98RUN |3 VERSION=2-6 CONTAINER_NAME=tf2-gpu/2-6+cu110 CONTAINER_URL=gcr.io/deeplearning-platform-release/tf-gpu.2-6:nightly-2021-10-2140.06 MB
99RUN |3 VERSION=2-6 CONTAINER_NAME=tf2-gpu/2-6+cu110 CONTAINER_URL=gcr.io/deeplearning-platform-release/tf-gpu.2-6:nightly-2021-10-21367.64 MB
100RUN |3 VERSION=2-6 CONTAINER_NAME=tf2-gpu/2-6+cu110 CONTAINER_URL=gcr.io/deeplearning-platform-release/tf-gpu.2-6:nightly-2021-10-2142.38 MB
101RUN |3 VERSION=2-6 CONTAINER_NAME=tf2-gpu/2-6+cu110 CONTAINER_URL=gcr.io/deeplearning-platform-release/tf-gpu.2-6:nightly-2021-10-21784.36 KB
102USER root0 B
103ENV DEBIAN_FRONTEND=noninteractive0 B
104/bin/sh -c apt-get update &&403.73 MB
105ENV LC_ALL=en_US.UTF-80 B
106ENV USER=jupyter0 B
107/bin/sh -c usermod -g users547 B
108ENV HOME=/home/jupyter0 B
109ENV WELDER_USER=welder-user0 B
110ENV WELDER_UID=10010 B
111/bin/sh -c useradd -m -s3.94 KB
112ENV JUPYTER_PORT=80000 B
113ENV JUPYTER_HOME=/etc/jupyter0 B
114ENV USER_INSTALL_DIR=/home/jupyter/notebooks/packages0 B
115ENV PYTHONPATH=/etc/jupyter/custom:/home/jupyter/notebooks/packages0 B
116ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/jupyter/notebooks/packages/bin0 B
117/bin/sh -c pip3 -V 31.44 MB
118/bin/sh -c mkdir -p /usr/local/share/jupyter/lab180 B
119ENV PIP_USER=true0 B
120ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/jupyter/notebooks/packages/bin:/home/jupyter/.local/bin0 B
121/bin/sh -c echo "cd ${HOME}/notebooks"0 B
122COPY dir:966451c1c5dbf7836a7085a1112b5ec45259cde1edd0f86d570efad270e191a3 in /etc/jupyter/scripts 2.09 KB
123COPY dir:59ddcfd1a0caf9a7aa92fe43ec81385b887a9e9f1b1e1f8d12854dcb8f623f43 in /etc/jupyter/custom 14.19 KB
124COPY file:c62f9626d813d004ad591a7260683a343c1faddf476f29ff97c2c5ba23f34fc6 in /etc/jupyter 1.19 KB
125/bin/sh -c chown -R $USER:users20.98 KB
126USER jupyter0 B
127EXPOSE 80000 B
128WORKDIR /home/jupyter0 B
129ENTRYPOINT ["/opt/conda/bin/jupyter" "notebook"]0 B
130USER root0 B
131COPY dir:ddd405389408debd42c1df27cf6512c889abebe12d47a18f78c4fbcdd61fd6c4 in /etc/jupyter/scripts 576 B
132ENV TERRA_R_PLATFORM=terra-jupyter-r0 B
133ENV TERRA_R_PLATFORM_BINARY_VERSION=3.14.00 B
134/bin/sh -c cd /tmp 78.38 MB
135/bin/sh -c find $JUPYTER_HOME/scripts -name797 B
136/bin/sh -c apt-get update 226.54 MB
137ENV LIBSBML_CFLAGS=-I/usr/include0 B
138ENV LIBSBML_LIBS=-lsbml0 B
139/bin/sh -c echo 'export LIBSBML_CFLAGS="-I/usr/include"'466 B
140ENV PIP_USER=false0 B
141/bin/sh -c pip3 -V 8.54 MB
142/bin/sh -c R -e 'install.packages("BiocManager")'518.99 MB
143ENV PIP_USER=true0 B
144/bin/sh -c R -e 'IRkernel::installspec(user=FALSE)'222.02 MB
145USER jupyter0 B
146USER root0 B
147/bin/sh -c curl -O https://raw.githubusercontent.com/Bioconductor/anvil-docker/master/anvil-rstudio-bioconductor/install.R143.3 MB
148USER jupyter0 B
149USER root0 B
150RUN /bin/sh -c echo "deb121.19 MB
151RUN /bin/sh -c apt-get update1.02 MB
152RUN /bin/sh -c R -e2.16 MB
153COPY manager_demo.R /home/rstudio/manager_demo.R # buildkit471 B
154COPY worker.R /home/docker/ # buildkit354 B
155COPY 01-Renviron /etc/cont-init.d/01-Renviron # buildkit443 B

Command

ADD file:425a053fd043786e9454fb269d4c93c624550fb913a8c96d03ddd430b4e6c1c3 in /