Tag

prisma/prisma-ai-trainer:7.12.17
Content Digest: sha256:19eb2e74ffe7ef7fd350e848111018be62939f1a3d9d7baf3e1852a5cac4ad19
Details
Pull Command

docker pull images.intellitrend.de/prisma/prisma-ai-trainer:7.12.17

Manifests
Details
Content Digest

sha256:dc1ae412db8f1d5e338cec80516aada019b4da66f1a2a39ad661e4adcab8c8eb

Created

2026-02-11 09:59:07 UTC

Size

1.66 GB

Labels
  • maintainer
    Anaconda, Inc
  • org.opencontainers.image.created
    2024-08-23T14:45:17.835Z
  • org.opencontainers.image.description
    Repository of Docker images created by Anaconda
  • org.opencontainers.image.licenses
  • org.opencontainers.image.revision
    4c4d24b1711876925328ef3c3c5634a3ab307dc3
  • org.opencontainers.image.source
    https://github.com/anaconda/docker-images
  • org.opencontainers.image.title
    docker-images
  • org.opencontainers.image.url
    https://github.com/anaconda/docker-images
  • org.opencontainers.image.version
    24.7.1-0
Environment
CONDA_DEFAULT_ENV

dataforge

CONDA_ENV_PATH

/opt/conda/envs/dataforge

LANG

C.UTF-8

LC_ALL

C.UTF-8

PATH

/opt/conda/envs/dataforge/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

Layers

[#000] sha256:e4fff0779e6ddd22366469f08626c3ab1884b5cbe1719b26da238c95f247b305 - 1.64% (27.8 MB)

[#001] sha256:d516a839cc3b63275abb42a1ec51b5b2a9c73e3d49bd510350c5ea64ea1a70c6 - 3.5% (59.4 MB)

[#002] sha256:a50daf0f0f23c311c9be2efd228ce38fb6d357e1e57d3d1ee20313a1df6a5778 - 8.75% (149 MB)

[#003] sha256:86eb5561348ddf7457eb06ecea3dcd9075b207be5fae3ab4d6427d59d6740eb7 - 85.71% (1.42 GB)

[#004] sha256:b21506ece5728b15e7513fd198f6da9344a86338b8a2a32d85afd6cd2893f93b - 0.0% (176 Bytes)

[#005] sha256:f27db36f0695775ef5ea914599d214379dde60c34482c9a125804077f7101f06 - 0.0% (219 Bytes)

[#006] sha256:43ce08d28acd241d257d2799a6eb015bda962e1d66e567eaa6baab3e82589744 - 0.4% (6.79 MB)

History
2024-08-13 00:20:20 UTC

/bin/sh -c #(nop) ADD file:3d9897cfe027ecc7cbdb16e74a676ed143725ea2d08dbb0dde23309e041de0f3 in /

2024-08-13 00:20:20 UTC

/bin/sh -c #(nop) CMD ["bash"]

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

LABEL maintainer=Anaconda, Inc

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

ENV LANG=C.UTF-8 LC_ALL=C.UTF-8

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

RUN /bin/sh -c apt-get update -q && apt-get install -q -y --no-install-recommends bzip2 ca-certificates git libglib2.0-0 libsm6 libxext6 libxrender1 mercurial openssh-client procps subversion wget && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

CMD ["/bin/bash"]

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

ARG INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-x86_64.sh

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

ARG SHA256SUM_LINUX64=33442cd3813df33dcbb4a932b938ee95398be98344dff4c30f7e757cd2110e4f

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

ARG INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-s390x.sh

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

ARG SHA256SUM_S390X=5a454c59314f63a0b860e2ed27d68f4a2516c77a7beda919fc11d3cd03c6b2d2

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

ARG INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-aarch64.sh

2024-08-23 14:45:39 UTC (buildkit.dockerfile.v0)

ARG SHA256SUM_AARCH64=bdace1e233cda30ce37105de627e646ae8e04b036373eacfcd7fa8e35949f1b7

2024-08-23 14:45:54 UTC (buildkit.dockerfile.v0)

RUN |6 INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-x86_64.sh SHA256SUM_LINUX64=33442cd3813df33dcbb4a932b938ee95398be98344dff4c30f7e757cd2110e4f INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-s390x.sh SHA256SUM_S390X=5a454c59314f63a0b860e2ed27d68f4a2516c77a7beda919fc11d3cd03c6b2d2 INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-aarch64.sh SHA256SUM_AARCH64=bdace1e233cda30ce37105de627e646ae8e04b036373eacfcd7fa8e35949f1b7 /bin/sh -c set -x && UNAME_M="$(uname -m)" && if [ "${UNAME_M}" = "x86_64" ]; then INSTALLER_URL="${INSTALLER_URL_LINUX64}"; SHA256SUM="${SHA256SUM_LINUX64}"; elif [ "${UNAME_M}" = "s390x" ]; then INSTALLER_URL="${INSTALLER_URL_S390X}"; SHA256SUM="${SHA256SUM_S390X}"; elif [ "${UNAME_M}" = "aarch64" ]; then INSTALLER_URL="${INSTALLER_URL_AARCH64}"; SHA256SUM="${SHA256SUM_AARCH64}"; fi && wget "${INSTALLER_URL}" -O miniconda.sh -q && echo "${SHA256SUM} miniconda.sh" > shasum && sha256sum --check --status shasum && mkdir -p /opt && bash miniconda.sh -b -p /opt/conda && rm miniconda.sh shasum && ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && echo "conda activate base" >> ~/.bashrc && find /opt/conda/ -follow -type f -name '*.a' -delete && find /opt/conda/ -follow -type f -name '*.js.map' -delete && /opt/conda/bin/conda clean -afy # buildkit

2025-10-29 15:44:11 UTC

/bin/sh -c conda create -y -n dataforge python=3.10 tensorflow=2.18

2025-10-29 15:44:14 UTC

/bin/sh -c #(nop) ENV CONDA_ENV_PATH=/opt/conda/envs/dataforge

2025-10-29 15:44:17 UTC

/bin/sh -c #(nop) ENV PATH=/opt/conda/envs/dataforge/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

2025-10-29 15:44:21 UTC

/bin/sh -c #(nop) ENV CONDA_DEFAULT_ENV=dataforge

2025-10-29 15:44:24 UTC

/bin/sh -c #(nop) WORKDIR /usr/local/intellitrend/df/bin

2025-10-29 15:44:28 UTC

/bin/sh -c mkdir -p /usr/local/intellitrend/df/etc/ && touch /usr/local/intellitrend/df/etc/df-ai-trainer.yaml

2025-10-29 15:44:32 UTC

/bin/sh -c #(nop) CMD ["/bin/sh" "-c" "./df-ai-trainer"]

2026-02-11 09:59:07 UTC

/bin/sh -c #(nop) COPY file:20b016aaf81c434063098b0b0b3a90793a0addfe630a96973f7cd049439d5dec in /usr/local/intellitrend/df/bin