NVIDIA Optimized Deep Learning Framework powered by Apache MXNet

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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.

Layer	Label		Created
e1f47825a60df3fe1b5c9e7aea17c648c425779c151339780daa1a7b3dc7267a	CONFIG	`Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace`	01/27/2023 4:54 AM UTC
3d670c02d6b0b9831a1e3d24d8edce1d31f6b814313b77b8943cd6c7aa525cc2	ARG	`NVIDIA_BUILD_REF`	01/27/2023 4:54 AM UTC
4e854d7fe809c7d16a3866c8272f282b0f9e4dcd5f351678721a26308e418f72	LABEL	`com.nvidia.build.id=52275977`	01/27/2023 4:54 AM UTC
497e85c32398125215fa7c696e2daaf4682a712b40ff26813286ed0d076e7c23	ENV	`NVIDIA_BUILD_ID=52275977`	01/27/2023 4:54 AM UTC
b1b05d24246ec7d79e5e451e4b542f824a6584caec138b4de40ef43d972c9015	ARG	`NVIDIA_BUILD_ID`	01/27/2023 4:54 AM UTC
b42dc26cdbeddbf874898173815476833caa66eed0a65092a3b3764f0dd00556	COPY	`entrypoint.d/ /opt/nvidia/entrypoint.d/`	01/27/2023 4:54 AM UTC
685fc53f5fad2ffb89083663bc99b91b8505aa9238df7e22d3903cb80dd644d1	RUN	`MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.01 TARGETARCH=amd64 PYVER=3.8 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`	01/27/2023 4:54 AM UTC
6bd9c7528f38891eee25672683224e47f5d5545706e08acf5910d7cc5bab458c	RUN	`MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.01 TARGETARCH=amd64 PYVER=3.8 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/`	01/27/2023 4:54 AM UTC
20772510436d3d86be648c2b3b6f5a49466f330dd6202a49d6a8d28f1ae85309	RUN	`MXNET_VERSION=1.9.1 NVIDIA_MXNET_VERSION=23.01 TARGETARCH=amd64 PYVER=3.8 chmod -R a+w /workspace`	01/27/2023 4:54 AM UTC
57867b67acb23f036a9e6bb72fb8cfa70672d66de9f066178e09be497bb8d1db	COPY	`example/image-classification examples/image-classification`	01/27/2023 4:54 AM UTC