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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
1a3b5c4a1739b547887b126124915f81c01bf2310c969b75014981b440f5a281CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace
12/21/2019 1:24 AM UTC
9334606ac4e34e0e1a1310e782b39ac0f9b3481f490b2eea64d342361ebcd3f4ARG
NVIDIA_BUILD_REF
12/21/2019 1:24 AM UTC
bb2a4c0beb2b778e2c7b264ccc187193015a4fd0c855f49ab47617a4bfd15c9dLABEL
com.nvidia.build.id=9336674
12/21/2019 1:24 AM UTC
dbd8dbc3119ca3b1397f8f8df856d553109679d15098a338858b38f911f912fbENV
NVIDIA_BUILD_ID=9336674
12/21/2019 1:24 AM UTC
2a18858047d7acc3d90deb299d04abc493c076cb0961e48f2c4152c91ffa580eARG
NVIDIA_BUILD_ID
12/21/2019 1:24 AM UTC
009657c5bee0191fbcbfd357b1301108cf76c5e32c736d0c12bfd18ef5494087ENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
12/21/2019 1:24 AM UTC
e9cd987e70e50713e3ecacd609f4c6ee87da119e63a119353b223a9442131ee8COPY
nvidia_entrypoint.sh /usr/local/bin
12/21/2019 1:24 AM UTC
47f0eec9362a651cd2ff475f18d1900786b2a4ad952de9cb5177ee27290f900aRUN
MXNET_VERSION=1.5.1 NVIDIA_MXNET_VERSION=20.01 PYVER=3.6 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
12/21/2019 1:24 AM UTC
ffeacf457c58217b660d058cb96295afbb4fdc27956d21f06ed26613c1c8cce2RUN
MXNET_VERSION=1.5.1 NVIDIA_MXNET_VERSION=20.01 PYVER=3.6 cp /opt/mxnet/tests/python/tensorrt/test_tensorrt_lenet5.py /workspace/examples/tensorrt-integration/
12/21/2019 1:24 AM UTC
3f3b989418914ccc9135037b255d400a770c3cc55620b1ad2bd25f9b1e9cb240RUN
MXNET_VERSION=1.5.1 NVIDIA_MXNET_VERSION=20.01 PYVER=3.6 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
12/21/2019 1:24 AM UTC
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