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
856fd9990cfd1acc285759d63df5acb3b16bedf6f7177709e106a48480169b5dCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace
12/01/2023 2:37 AM UTC
3283eafcc0bc227b1f9285537a887532aaed9a396a69902e8a11c0332f647b20ARG
NVIDIA_BUILD_REF
12/01/2023 2:37 AM UTC
4a59e3988a13c174bfed6aa939097d7a64ebd6b65e83401f61c043a5dcd074bcLABEL
com.nvidia.build.id=76094605
12/01/2023 2:37 AM UTC
905e6adee4903a6c067f0b11b18337fc810592f21a1a29435b06aa2f550d47faENV
NVIDIA_BUILD_ID=76094605
12/01/2023 2:37 AM UTC
8dba1831386f95c39e13cf0ffacf9fe491ae75352540f9932cc088074adcd3e1ARG
NVIDIA_BUILD_ID
12/01/2023 2:37 AM UTC
f351f02649e8d2e9125eba85345d628bc49a5ee798c5defced412a8505035a20COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
12/01/2023 2:37 AM UTC
bb60c332251961f4edb6db7e92a276452647b1d91399f23efd349655a983fda5RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.12 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
12/01/2023 2:37 AM UTC
b837b86215ab5f95685bd5b7a5e0aacf394e6e5f01ddad594fadfcd28a46c05eRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.12 TARGETARCH=amd64 PYVER=3.10 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
12/01/2023 2:37 AM UTC
9a4e69707941732df0e4f03ff0509c564a35cbf787eb58273f2a6a3c4b783f00RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.12 TARGETARCH=amd64 PYVER=3.10 chmod -R a+w /workspace
12/01/2023 2:37 AM UTC
392b2b30f5324d906404af3f2a537bb8bf295831f401674e2b1ed60366d76ec6COPY
example/image-classification examples/image-classification
12/01/2023 2:37 AM UTC
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