Apache Software Foundation
NVIDIA Optimized Deep Learning Framework powered by Apache MXNet
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Apache Software Foundation
NVIDIA Optimized Deep Learning Framework powered by Apache MXNet

NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet is a deep learning framework that allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.ref=e4b18d3ebeb660c1e5855c3e522089498f702649
    08/12/2019 9:34 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    08/12/2019 9:34 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=7604090
    08/12/2019 9:34 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=7604090
    08/12/2019 9:34 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    08/12/2019 9:34 PM UTC
    sha256:fffb9b01319466844672c330a27e80ea613f09a2125e47b014c5aed9a5edcb36RUN
    PYVER=3.6 rm -f /usr/lib/libibverbs.so /usr/lib/libibverbs.a
    08/12/2019 9:34 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
    /usr/local/bin/nvidia_entrypoint.sh
    08/10/2019 1:35 AM UTC
    sha256:2e4aa74d7be916665b3795477c1b5d00b22cbf5437bcb5758eac365dc11b679bCOPY
    file:d6cc149781304df3397b272a735e7498797d08cd8ae9e49225b0f035f977248c in /usr/local/bin
    08/10/2019 1:35 AM UTC
    sha256:5812874a882b7101928778c5e48b0815a1d40c11e471cdb22f23e5b09d79f395RUN
    PYVER=3.6 ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib &&
      echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf &&
      ldconfig &&
      rm -f ${_CUDA_COMPAT_PATH}/lib
    08/10/2019 1:35 AM UTC
    sha256:d6200b5823d0c1e5ced9d000ad5b0a16d6d57aed687516d8de44bfe9d582bedaRUN
    PYVER=3.6 cp /opt/mxnet/tests/python/tensorrt/test_tensorrt_lenet5.py /workspace/examples/tensorrt-integration/
    08/10/2019 1:35 AM UTC
    ...