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
f97b0874c53e93e10b7507241e921c64faba33ca497b366623626a83151f477aCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace
01/05/2024 4:29 AM UTC
cdc50b1d7320dcc1fcbb34c5a10ebc2f0adf98202d49e382c4ddbb9b83137bd4ARG
NVIDIA_BUILD_REF
01/05/2024 4:29 AM UTC
c42825724e55804099f719a3f702f96540ffd2683de9892b796655f95ce0c526LABEL
com.nvidia.build.id=78866700
01/05/2024 4:29 AM UTC
b096da7a5a8cee42e0c2e5dc0384b87c448c624d220c4cb4b88991598e404dc9ENV
NVIDIA_BUILD_ID=78866700
01/05/2024 4:29 AM UTC
84a83e57fc75c7bcf7cfed5d7be6cb1c2d60327d0c189f93ce6b648dddb168dcARG
NVIDIA_BUILD_ID
01/05/2024 4:29 AM UTC
916208ff72ef7f3efe54659a5707025138ff774828c5b5d95cf026102e1691aaCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
01/05/2024 4:29 AM UTC
c7ebc7d2eac298b6b5e08ccc9c97aa8ee3599bdf258f96547fc24640a5f05d57RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=24.01 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
01/05/2024 4:29 AM UTC
db3c0efbfe429ab5ee189a8a0a07698586a69fee95f7f3c49a1965f1be7ba43fRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=24.01 TARGETARCH=amd64 PYVER=3.10 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
01/05/2024 4:29 AM UTC
5da9371d63b4de72507f322ee315a0da2f4267608870c7b322c5579e581a8d00RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=24.01 TARGETARCH=amd64 PYVER=3.10 chmod -R a+w /workspace
01/05/2024 4:29 AM UTC
8b7e7c9652cc413f34bb3e36f7c8c287a7aca0a8b1f19c2bdeeaf4da89cf3a58COPY
example/image-classification examples/image-classification
01/05/2024 4:29 AM UTC
...

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