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elyra/kernel-tf-py:2.5.1

Languages & frameworks
Machine learning & AI
Data science
Manifest digest

sha256:3b31b24748e59c954bb6f2734a30fa93bd93106cbebcd7b4c37a08e0eb8a3766

OS/ARCH

linux/amd64

Compressed size

1.3 GB

Last pushed

about 5 years by kbates

Type

Image

Manifest digest

sha256:3b31b24748e59c954bb6f2734a30fa93bd93106cbebcd7b4c37a08e0eb8a3766

Image Layers

Image Layers

1ADD file ... in / 27.24 MB
2/bin/sh -c set -xe &&847 B
3/bin/sh -c [ -z "$(apt-get0 B
4/bin/sh -c mkdir -p /run/systemd162 B
5CMD ["/bin/bash"]0 B
6LABEL maintainer=Jupyter Project <[email protected]>0 B
7ARG NB_USER=jovyan0 B
8ARG NB_UID=10000 B
9ARG NB_GID=1000 B
10/bin/bash -o pipefail -c #(nop)0 B
11/bin/bash -o pipefail -c #(nop)0 B
12/bin/bash -o pipefail -c #(nop)0 B
13/bin/bash -o pipefail -c #(nop)0 B
14/bin/bash -o pipefail -c #(nop)0 B
15/bin/bash -o pipefail -c #(nop)0 B
16/bin/bash -o pipefail -c #(nop)0 B
17/bin/bash -o pipefail -c #(nop)0 B
18/bin/bash -o pipefail -c #(nop)0 B
19/bin/bash -o pipefail -c #(nop)0 B
20|10 NB_GID=100 NB_UID=1000 NB_USER=jovyan conda_version=4.9.29.75 MB
21|10 NB_GID=100 NB_UID=1000 NB_USER=jovyan conda_version=4.9.2841.32 KB
22/bin/bash -o pipefail -c #(nop)0 B
23/bin/bash -o pipefail -c #(nop)0 B
24/bin/bash -o pipefail -c #(nop)668 B
25|7 conda_version=4.9.2 miniforge_arch=x86_64 miniforge_checksum=6321775eb2c02d7f51d3a9004ce0be839099f126f4099c781531428536669560 miniforge_installer=Miniforge3-4.9.2-0-Linux-x86_64.sh0 B
26|7 conda_version=4.9.2 miniforge_arch=x86_64 miniforge_checksum=6321775eb2c02d7f51d3a9004ce0be839099f126f4099c781531428536669560 miniforge_installer=Miniforge3-4.9.2-0-Linux-x86_64.sh1.87 KB
27|7 conda_version=4.9.2 miniforge_arch=x86_64 miniforge_checksum=6321775eb2c02d7f51d3a9004ce0be839099f126f4099c781531428536669560 miniforge_installer=Miniforge3-4.9.2-0-Linux-x86_64.sh5.24 KB
28/bin/bash -o pipefail -c #(nop)0 B
29/bin/bash -o pipefail -c #(nop)0 B
30|8 PYTHON_VERSION=default conda_version=4.9.2 miniforge_arch=x86_64 miniforge_checksum=6321775eb2c02d7f51d3a9004ce0be839099f126f4099c781531428536669560149 B
31/bin/bash -o pipefail -c #(nop)0 B
32|8 PYTHON_VERSION=default conda_version=4.9.2 miniforge_arch=x86_64 miniforge_checksum=6321775eb2c02d7f51d3a9004ce0be839099f126f4099c78153142853666956059.98 MB
33|8 PYTHON_VERSION=default conda_version=4.9.2 miniforge_arch=x86_64 miniforge_checksum=6321775eb2c02d7f51d3a9004ce0be839099f126f4099c78153142853666956091.89 MB
34/bin/bash -o pipefail -c #(nop)0 B
35/bin/bash -o pipefail -c #(nop)0 B
36/bin/bash -o pipefail -c #(nop)0 B
37/bin/bash -o pipefail -c #(nop)2.61 KB
38/bin/bash -o pipefail -c #(nop)1014 B
39/bin/bash -o pipefail -c #(nop)0 B
40|8 PYTHON_VERSION=default conda_version=4.9.2 miniforge_arch=x86_64 miniforge_checksum=6321775eb2c02d7f51d3a9004ce0be839099f126f4099c7815314285366695601016 B
41|8 PYTHON_VERSION=default conda_version=4.9.2 miniforge_arch=x86_64 miniforge_checksum=6321775eb2c02d7f51d3a9004ce0be839099f126f4099c7815314285366695601.07 KB
42/bin/bash -o pipefail -c #(nop)0 B
43/bin/bash -o pipefail -c #(nop)0 B
44/bin/bash -o pipefail -c #(nop)0 B
45/bin/bash -o pipefail -c #(nop)0 B
46/bin/bash -o pipefail -c apt-get273.74 MB
47/bin/bash -o pipefail -c update-alternatives1.7 KB
48/bin/bash -o pipefail -c #(nop)0 B
49/bin/bash -o pipefail -c #(nop)0 B
50/bin/bash -o pipefail -c #(nop)0 B
51/bin/bash -o pipefail -c apt-get156.23 MB
52/bin/bash -o pipefail -c #(nop)0 B
53/bin/bash -o pipefail -c conda231.17 MB
54/bin/bash -o pipefail -c #(nop)0 B
55/bin/bash -o pipefail -c git583.22 KB
56/bin/bash -o pipefail -c #(nop)0 B
57/bin/bash -o pipefail -c MPLBACKEND=Agg5.84 KB
58/bin/bash -o pipefail -c #(nop)0 B
59/bin/bash -o pipefail -c #(nop)0 B
60/bin/bash -o pipefail -c #(nop)0 B
61/bin/bash -o pipefail -c pip402.08 MB
62ENV KERNEL_LANGUAGE=python0 B
63ADD jupyter_enterprise_gateway_kernel_image_files*.tar.gz /usr/local/bin/ # buildkit25.92 MB
64RUN /bin/bash -o pipefail -c28.7 MB
65USER root0 B
66RUN /bin/bash -o pipefail -c25.92 MB
67USER jovyan0 B
68CMD ["/usr/local/bin/bootstrap-kernel.sh"]0 B

Command

ADD file:4f15c4475fbafb3fe335e415e3ea1ac416c34af911fcdfe273c5759438aa8eb4 in /