minlaxz/minlaxz-tf-gpu-jupyter.md

## minlaxz-tf-gpu-jupyter.md

      
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              minlaxz-tf-gpu-jupyter.md
            
          
    in your host --
cd ~ && mkdir tf && cd $_
curl -fsSL https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile -o ./Dockerfile
git clone tensorflow
curl -fsSL https://raw.githubusercontent.com/minlaxz/scripts/master/laxz.bashrc -o ./bash.bashrc
docker build -f ./Dockerfile -t yourRepo/repo:tag .

this Dockerfile will download a bunch of cuda11.0 and cudnn8 libs includes jupyter
In your host --
docker run --name tf --volume $HOME:/tf --gpus all --detach yourBuildImage
docker exec -it tf bash

In Docker Host --
root@docker-host/tf #  `curl -fsSL https://raw.githubusercontent.com/minlaxz/scripts/master/dklaxz -o /usr/bin/dklaxz
root@docker-host/tf # -> make executable /usr/bin/dklaxz
root@docker-host/tf # -> cd mounted/volume/tensorflow
root@docker-host/tf # `bazel build --config=cuda //tensorflow/tools/pip_package:build_pip_package
root@docker-host/tf # `./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
root@docker-host/tf # `pip install /tmp/tensorflow_pkg/***********.whl