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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
6f43fb75e652afbf6d3e93bcb055f9397f3af6ec54e8ea946290ea21f5cd257cCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace
05/02/2023 2:30 AM UTC
f01696e5cd9b395e1af31ec0a7978bdd9ff51f41230ac9c963159951ddd40921ARG
NVIDIA_BUILD_REF
05/02/2023 2:30 AM UTC
922e8c4c9b0af930e18954a0845af5e775ace061d4fb5960f29f82f5519ea6adLABEL
com.nvidia.build.id=59341518
05/02/2023 2:30 AM UTC
ab0019d85cf9c47f93d49290651e9ec00db4862072003979f1c0fb5709655e56ENV
NVIDIA_BUILD_ID=59341518
05/02/2023 2:30 AM UTC
d4630063f7d6c42edade625ba3a4d9f92b85c3677031d5c2579a21267e95838aARG
NVIDIA_BUILD_ID
05/02/2023 2:30 AM UTC
6f4b1a3e80514f01e4b4123af017eb01980736b618da30fff40494d5930e0673COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
05/02/2023 2:30 AM UTC
83b2ca535245a46e0713e636c812d0cf91a530e869d6fbae6e6dc2fe66710fbfRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.05 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
05/02/2023 2:30 AM UTC
66e2846fab3bf0e70bb939d4938c586bb6e426b3581928b9a0b894f3048493a0RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.05 TARGETARCH=amd64 PYVER=3.10 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
05/02/2023 2:30 AM UTC
f68030148584c9cd78274f5e732ea4905ae9f1132424c703e608fb3f25a020fcRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.05 TARGETARCH=amd64 PYVER=3.10 chmod -R a+w /workspace
05/02/2023 2:30 AM UTC
12e1c16b1dd6b6979e05453f8c350b79abd00f0025fed717a7b49ba09b4715ceCOPY
example/image-classification examples/image-classification
05/02/2023 2:30 AM UTC
...

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