lightning/dockers
zcain117 d0b8e850a4
integrate with CircleCI (#2486)
* add circleCI

* wip

* CircleCI setup that worked on my private repo. Use a working pytorch-lightning commit

* Fix the orb imports

* Update circleci header comment

* Try to pull the GITHUB_REF from the CI_PULL_REQUEST

* Use null instead of space for 'sed'

* Add TODO for codecov

* Remove echo of GKE_CLUSTER since it will be redacted by CircleCI.

* Try running codecov upload.

* Try using codecov orb

* Use pip install codecov

* Use codecov orb again since it should be approved

* dockers/tpu-tests/Dockerfile

* action

* suggestions

* drop suggestion

* suggestion

Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-07-23 12:13:10 -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 integrate with CircleCI (#2486) 2020-07-23 12:13:10 -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