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Dockerfile for DeepLearn (Mxnet , Pytorch , Caffe2 , Tensorflow). This repository recommends developers to use, which covers cuda9.1, cudnn7.0, tensorflow1.8, opencv3.4.1, pytorch0.4.0, mxnet1.1 ,caffe,caffe2 .

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JermineHu/docker-dl

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docker-dl

Dockerfile for DeepLearn (Mxnet , Pytorch , Caffe2 , Tensorflow). This repository recommends developers to use, which covers cuda9.1, cudnn7.0, tensorflow1.8, opencv3.4.1, pytorch0.4.0, mxnet1.1 ,caffe,caffe2 .

The docker registry is :

https://hub.docker.com/r/jermine/dl/

The Github repo is:

https://github.com/JermineHu/docker-dl

Used

You can switch the environments by docker images tags!

Checked nvidia driver info

docker run --runtime=nvidia --rm -it jermine/dl:tensorflow.gpu nvidia-smi

Get pip3 list

docker run --rm -it jermine/dl:tensorflow.gpu pip3 list --format=columns

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Dockerfile for DeepLearn (Mxnet , Pytorch , Caffe2 , Tensorflow). This repository recommends developers to use, which covers cuda9.1, cudnn7.0, tensorflow1.8, opencv3.4.1, pytorch0.4.0, mxnet1.1 ,caffe,caffe2 .

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