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
e39f880b860af6429dbf3adc98201d00ab22748d4b9976e16f6628f1ea5f9e47CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace
03/05/2024 1:48 AM UTC
d30042a409f838daacb607530187a30608193ef0013cf2288d9f369e8b1ef0f6ARG
NVIDIA_BUILD_REF
03/05/2024 1:48 AM UTC
47cb31226ab564790170a5eb07bd78ebfa72dd411e167be3f514d51793e95afeLABEL
com.nvidia.build.id=84726399
03/05/2024 1:48 AM UTC
f6437ed772b1ef97607903cb21f7a3e48ba4ddcbbe43765f4292e814d2638b1bENV
NVIDIA_BUILD_ID=84726399
03/05/2024 1:48 AM UTC
efc4b8678cb887d6264cca63ea42e862478c194885cceb7bb3735f0e8f262dbfARG
NVIDIA_BUILD_ID
03/05/2024 1:48 AM UTC
799335f89a916c2cb3c5a0f845408bbdc2a82670191380d8e49c0b673305529bCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
03/05/2024 1:48 AM UTC
0bfa2eed9555e5ba5f4e1697e74d660d5f5f8e1bb24398d53986c2019d8a52ffRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=24.03 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
03/05/2024 1:48 AM UTC
5cdba0b4f9320907f36ae6ccd48f77609ef5297426c349d390ea4a8b358e9ad2RUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=24.03 TARGETARCH=amd64 PYVER=3.10 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
03/05/2024 1:48 AM UTC
a305c9e85db84b84380397ce1bf808d5cdd995420604c084775fc1c90027a95aRUN
MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=24.03 TARGETARCH=amd64 PYVER=3.10 chmod -R a+w /workspace
03/05/2024 1:48 AM UTC
40c5a3d3cbd38298c109b62ed68527bbb07dad7b29096525eb8d28525872525cCOPY
example/image-classification examples/image-classification
03/05/2024 1:48 AM UTC
...