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
7addc26cf9f09ad89d473a960f3ce9a0f82c562fe03313f26041c7155018f1c3CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace
07/06/2023 9:33 PM UTC
0e45d08c4c83114f51933c0a890bcf80778f717ec9da8908cb5765d3b2ba89f6ARG
NVIDIA_BUILD_REF
07/06/2023 9:33 PM UTC
8aab17d77970dad91fbca482a543b9b832d1eee8e734ec0e30d3bdbd11968302LABEL
com.nvidia.build.id=63868168
07/06/2023 9:33 PM UTC
bfac9aa297dddd5c73fb44f83384231799f8a5092d2ccbb577bdd55eacbbf2c0ENV
NVIDIA_BUILD_ID=63868168
07/06/2023 9:33 PM UTC
f135f9b5beb9ac28d545e395b76230a179c8d1206e08e338064244fa2b63ee0aARG
NVIDIA_BUILD_ID
07/06/2023 9:33 PM UTC
a8ff6a783540f67db81d026f6e66b542099f66b92c2ca1531ec559e78c2ff8bcCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
07/06/2023 9:33 PM UTC
58a4d2eea2dd45c79786737d2e189f7d1acaf6e56210c330a86100533c739ca7RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.07 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
07/06/2023 9:33 PM UTC
d84fa4be7c69dac37c731f86058d541abfdfc7428b41b68859ff5ddb45c7ae9fRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.07 TARGETARCH=amd64 PYVER=3.10 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
07/06/2023 9:33 PM UTC
b468054e7fefa2d01ab3b0a58a60588145b9220ecfe87e9e2d2776de67faf0eeRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.07 TARGETARCH=amd64 PYVER=3.10 chmod -R a+w /workspace
07/06/2023 9:33 PM UTC
cf6535796cb17f3a6e5959bed4fa30b54f31e5ffe6f8cf31588b626d02e781d1COPY
example/image-classification examples/image-classification
07/06/2023 9:33 PM UTC
...

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