From 23e4dc5cb59970e6a36862f2682432e43ecc612a Mon Sep 17 00:00:00 2001 From: Zhuojie Zhou Date: Thu, 12 Aug 2021 17:25:39 -0700 Subject: [PATCH] Updated Docker image build on CircleCI (markdown) --- Docker-image-build-on-CircleCI.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/Docker-image-build-on-CircleCI.md b/Docker-image-build-on-CircleCI.md index fcccc6b..7e473ce 100644 --- a/Docker-image-build-on-CircleCI.md +++ b/Docker-image-build-on-CircleCI.md @@ -2,9 +2,8 @@ For those who used to work with the docker image build process, we’ve migrated ## Current config - -The config of docker image now live at https://github.com/pytorch/pytorch/tree/master/.circleci/docker -and you can find existing images (both permanent and weekly) at [http://docker.pytorch.org](http://docker.pytorch.org/) which will be updated hourly by this job: https://github.com/pytorch/pytorch/blob/master/.circleci/config.yml#L5752-L5776 (for same reason as above, you can search “ecr_gc_job” to be sure) +The config of docker image now live at https://github.com/pytorch/pytorch/tree/master/.circleci/docker +and you can find existing images (both permanent and weekly) at [http://docker.pytorch.org](http://docker.pytorch.org/) which will be updated hourly by this job: https://github.com/pytorch/pytorch/blob/988ef190e3df0b48ef59dcf8007258ed79bb7946/.circleci/config.yml#L2038-L2093 ## Q & A @@ -26,7 +25,7 @@ code for the purge job is https://github.com/pytorch/pytorch/blob/master/.circle ### The production images disappeared, what should I do? -Sometimes there is a bug in ecr_gc_job and it deletes Docker images it shouldn't. All Docker images are also saved to S3 with a one month retention period, so there's a chance they may still be there. You can use this script to recover in that case: +Sometimes there is a bug in ecr_gc_job and it deletes Docker images it shouldn't. All Docker images are also saved to S3 with a one-month retention period, so there's a chance they may still be there. You can use this script to recover in that case: ``` import yaml