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=c904bafc739e04a16a59f6017e252f59ce5569b4
    02/28/2018 10:18 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    02/28/2018 10:18 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=353235
    02/28/2018 10:18 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=353235
    02/28/2018 10:18 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    02/27/2018 1:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
    /usr/local/bin/nvidia_entrypoint.sh
    02/27/2018 1:13 AM UTC
    sha256:058287364062706abc57ac7b14187301cc3a53940ccdee764c132b35c5aab7fdCOPY
    file:651a5f6b34d2817450817b472a22400d5c567fc94017bf09fa202da3816bb7cf in /usr/local/bin
    02/27/2018 1:13 AM UTC
    sha256:51ad4a8e83e81063b2fbd1359788ae7741c21770d975818905781e84929e0a52RUN
    PYVER=2.7 ln -s /opt/mxnet/mxnet_to_onnx /workspace/examples/
    02/27/2018 1:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    PYVER=2.7 [ "$PYVER" != "2.7" ] &&
      mkdir /workspace/examples/sockeye &&
      ln -s /opt/mxnet/nvidia-examples/sockeye /workspace/examples/sockeye ||
      true
    02/27/2018 1:13 AM UTC
    sha256:7a3b8c5cc74d94032fcc2b11f92366b916667f6a128a3cc3fa44985be1d729f6RUN
    PYVER=2.7 chmod -R a+w /workspace
    02/27/2018 1:13 AM UTC
    ...