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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-11-27 06:29:45 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-11-27 06:33:15 -0800
commit191825e63f341a4e7777b85254f616e541000d5c (patch)
tree55e7a384e6dcea2e154a5419b5dc05326fb20c8b /tensorflow/examples/udacity
parenta264269f523467ac018708a647eab02c1f1010fe (diff)
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@@ -43,15 +43,15 @@ In addition, you may need to pass `--memory=8g` as an extra argument to
`docker-machine` is a tool to provision and manage docker hosts, it supports multiple platform (ex. aws, gce, azure, virtualbox, ...). To create a new virtual machine locally with built-in docker engine, you can use
docker-machine create -d virtualbox --virtualbox-memory 8196 tensorflow
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`-d` means the driver for the cloud platform, supported drivers listed [here](https://docs.docker.com/machine/drivers/). Here we use virtualbox to create a new virtual machine locally. `tensorflow` means the name of the virtual machine, feel free to use whatever you like. You can use
docker-machine ip tensorflow
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to get the ip of the new virtual machine. To switch from default virtual machine to a new one (here we use tensorflow), type
eval $(docker-machine env tensorflow)
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Note that `docker-machine env tensorflow` outputs some environment variables such like `DOCKER_HOST`. Then your docker client is now connected to the docker host in virtual machine `tensorflow`
* **I'm getting a TLS connection error.**