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=d6942cdf4137020caa7c6cffff6205c476332d6c
    04/30/2018 10:43 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    04/30/2018 10:43 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=401395
    04/30/2018 10:43 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=401395
    04/30/2018 10:43 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    04/30/2018 10:43 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
    /usr/local/bin/nvidia_entrypoint.sh
    04/30/2018 10:43 PM UTC
    sha256:738c529aef1cb09818b8a915a5025571c19ba63f35a9d37c44917563e9451fbeCOPY
    file:faa71332fcf454d3bb306ed331cd4453b0c9f9402528694d86c036524fc4faee in /usr/local/bin
    04/30/2018 10:43 PM UTC
    sha256:2327bbb7c9eda87b7cc2eaaabb1367ca06fcb12c150142ce5d45398926cf8863RUN
    PYVER=3.5 ln -s /opt/mxnet/mxnet_to_onnx /workspace/examples/
    04/30/2018 10:43 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    PYVER=3.5 [ "$PYVER" != "2.7" ] &&
      mkdir /workspace/examples/sockeye &&
      ln -s /opt/mxnet/nvidia-examples/sockeye /workspace/examples/sockeye ||
      true
    04/30/2018 10:43 PM UTC
    sha256:cdfdf498e1b578029b254b1d43762fe62054a8ac22f25e7806e7deb4f3588097RUN
    PYVER=3.5 chmod -R a+w /workspace
    04/30/2018 10:43 PM UTC
    ...