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Apache Software Foundation
NVIDIA Optimized Deep Learning Framework powered by Apache MXNet
Container
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
701cc6cc7c2d03ad36b50f388dbc6c07752e44dc4e998ba89d3a8282ba550630CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace
11/09/2023 7:14 AM UTC
65cac3d03a02c54247371d30a8b4ec66c75e69b0ffb4e4d3b5c722aaf5271c5bARG
NVIDIA_BUILD_REF
11/09/2023 7:14 AM UTC
38a6d5c66d4db6fe3b8ccb444f5eb2468d59f90f365fa9e2e27609d0e2b500a4LABEL
com.nvidia.build.id=73911603
11/09/2023 7:14 AM UTC
976ea5cac1177c00a45818f1dc22ace8a75f5c05e361123e390d2c9b2b8d8791ENV
NVIDIA_BUILD_ID=73911603
11/09/2023 7:14 AM UTC
72d14c13251fc3290abab85d0d5ec2d6679bce8dbf826ee1408bffe58d341ef5ARG
NVIDIA_BUILD_ID
11/09/2023 7:14 AM UTC
437f2c142214b3e29a452f7c434839084ccb523c790811c22615af9de38231c5COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
11/09/2023 7:14 AM UTC
ac494845397af56b152177be696cf5b45872f8ef64ea4c54d5bb35b9fb88c761RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.11 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
11/09/2023 7:14 AM UTC
a6f20464ca5c041c8fc7d2acbd5b73defe66c2a39d4f3048cc0e90b3af86b7b2RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.11 TARGETARCH=amd64 PYVER=3.10 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
11/09/2023 7:14 AM UTC
09b843ae5743d01546bed2d6ea1e6ec502091e054460c16ae6ee0d3a10210047RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.11 TARGETARCH=amd64 PYVER=3.10 chmod -R a+w /workspace
11/09/2023 7:14 AM UTC
3a32d92c92b99556035a7d69c1fa5f6dc2728237ed322a8c90b9a3806c77b7dcCOPY
example/image-classification examples/image-classification
11/09/2023 7:14 AM UTC
...