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
ae01c05615d7ea3c8db7b4009785e954b4f20bad0daaf8422af76eaf2e5da655CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace
09/13/2023 1:27 AM UTC
9488ec298f489c84a092795a4c3166c609bbab14eea0a1fdc564c5faeffeff62ARG
NVIDIA_BUILD_REF
09/13/2023 1:27 AM UTC
815cff9dad59e0acb0fd36edf90c487472ccabfbddb52842e6e422f776875ee1LABEL
com.nvidia.build.id=69084800
09/13/2023 1:27 AM UTC
bc0bc87a4031180807fa60a52a2aa594072403d0d566a320940b6c9c84d1409dENV
NVIDIA_BUILD_ID=69084800
09/13/2023 1:27 AM UTC
ff5ea6b8032a06c3cc7df39eac2102d763d3cf1ac345a177545d699df716ae4bARG
NVIDIA_BUILD_ID
09/13/2023 1:27 AM UTC
41c014826128ebfff13ec457bc47ac823cd322c43279c091e85d8367c738b7bdCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
09/13/2023 1:27 AM UTC
602adf748f793faa4ac7cca65f928538a2125c9eab9518e7354ccde048aced52RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.09 TARGETARCH=amd64 PYVER=3.10 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
09/13/2023 1:27 AM UTC
b885395813e0165bdef2db02a7774dda6ba3e4d4d1586bec74d37cbb07fa51b4RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.09 TARGETARCH=amd64 PYVER=3.10 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
09/13/2023 1:27 AM UTC
71fff584840000ecc94bc8a068f204f6e4f72ca63662663d7fae9991c93175f4RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.09 TARGETARCH=amd64 PYVER=3.10 chmod -R a+w /workspace
09/13/2023 1:27 AM UTC
ae664c58fd4b7b82e57e045d6cee83520ad6f9dd95dc5fcc6f0a07d3082c7eb5COPY
example/image-classification examples/image-classification
09/13/2023 1:27 AM UTC
...

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