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Jirka Borovec fb85d493d0
use XLA base image for TPU testing (#2536) 
* drop py3.6

* use base image

* typo

* skip extra

* drop cache
 		2020-07-07 07:05:17 -04:00
..
conda Docker: building XLA base image (#2494) 2020-07-06 14:21:36 -04:00
tpu-extras use XLA base image for TPU testing (#2536) 2020-07-07 07:05:17 -04:00
tpu-tests use XLA base image for TPU testing (#2536) 2020-07-07 07:05:17 -04:00
README.md Docker: building XLA base image (#2494) 2020-07-06 14:21:36 -04:00

README.md

Builds

You can build it on your own, note it takes lots of time, be prepared.

git clone <git-repository>
docker image build -t pytorch-lightning:latest -f dockers/conda/Dockerfile .

or with specific arguments

git clone <git-repository>
docker image build \
    -t pytorch-lightning:py38 \
    -f dockers/conda/Dockerfile \
    --build-arg PYTHON_VERSION=3.8 \
    --build-arg PYTORCH_VERSION=1.4 \
    .

To run your docker use

docker image list
docker run --rm -it pytorch-lightning:latest bash

and if you do not need it anymore, just clean it:

docker image list
docker image rm pytorch-lightning:latest