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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
c96cc7f23169e2601a77c13c1f539feda94690d458300bc382dabf50be05148eCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace
02/10/2024 1:11 AM UTC
70ddcdde573b04e0442f5632d4ccc06b6dfae0c72a5e3d875fc12c7f9b8a8b74ARG
NVIDIA_BUILD_REF
02/10/2024 1:11 AM UTC
46b87bca70bcad80dfb4e31e42ed5901a1ed1e1c0730380fcf50df2f247839ddLABEL
com.nvidia.build.id=82396082
02/10/2024 1:11 AM UTC
5ed85e43dc6bd2a3d7feb87a00668c128b11f218f6c1d64b0665f8fcb9e055a7ENV
NVIDIA_BUILD_ID=82396082
02/10/2024 1:11 AM UTC
b91a5db83ab1a56b495bb6a124b538b8e7834c00af9473c2db516b32c557635dARG
NVIDIA_BUILD_ID
02/10/2024 1:11 AM UTC
f44b05c3c080680537a4645138683b1eabedf48ff8092ff8f216a2a45129ed51COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
02/10/2024 1:11 AM UTC
1def419dac1e8c931b1badaaddd494b52d651187fdf2cd109497c24dd5f6a71cRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=24.02 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
02/10/2024 1:11 AM UTC
4f1ee1583671feb1775e553b00224cb6c5ca780c830225a47b3e8f5cdeb37f25RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=24.02 TARGETARCH=amd64 PYVER=3.10 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
02/10/2024 1:11 AM UTC
7ecc7fbc9928c664b696cab363d7c48ca5f99debfa00fe4568948883035cd5ebRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=24.02 TARGETARCH=amd64 PYVER=3.10 chmod -R a+w /workspace
02/10/2024 1:11 AM UTC
92c9a274190cfcf71c6270d690f511cff301f4210a3c3fc4f4de18b0bd5eac81COPY
example/image-classification examples/image-classification
02/10/2024 1:11 AM UTC
...

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