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
b97d678fad62244c4b796e677e47aa121a13b5d2be7bcd2080ebabdc448e0271CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace
06/01/2023 7:00 PM UTC
1284bc07b2a457e39cb668b3183261138ea97985d5085590cc1a7f360659c0ccARG
NVIDIA_BUILD_REF
06/01/2023 7:00 PM UTC
3eb3d45da26aee0238538a8ce891d59f1623a59395d63d00061a704f7148055bLABEL
com.nvidia.build.id=61512266
06/01/2023 7:00 PM UTC
fba469e115d482bdb3be1f75d3fb24495fede5c8b62682f365d4dbb8e6ae6925ENV
NVIDIA_BUILD_ID=61512266
06/01/2023 7:00 PM UTC
9c93f13db5517dd48e62659141f2368acb2e4da272e0713bf4905ec7619a4629ARG
NVIDIA_BUILD_ID
06/01/2023 7:00 PM UTC
b0c6af19d50be451524afc8bd7eeaecfebff5da83b20ca5756e78bde278e2208COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
06/01/2023 7:00 PM UTC
ceb46eb24fb5da49a2d00ca02dcfd82d26528ae38d869008e42fcb81020eae56RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.06 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
06/01/2023 7:00 PM UTC
592828a83247e7eec363a1f295e5f2ecfb89823fe5033e1a33bf0b99229147e1RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.06 TARGETARCH=amd64 PYVER=3.10 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
06/01/2023 7:00 PM UTC
6f371e82a7894725e6f641ced288f8ee81033262c17e25c7ada9b6515f4c7ebeRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.06 TARGETARCH=amd64 PYVER=3.10 chmod -R a+w /workspace
06/01/2023 7:00 PM UTC
2ec46e282bb3de542968409ab42491098fd9b2b2822cad3caf3c66b98c5fd7cbCOPY
example/image-classification examples/image-classification
06/01/2023 7:00 PM UTC
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