payload: {"action":"created","issue":{"url":"https://api.github.com/repos/googlecolab/colabtools/issues/679","repository_url":"https://api.github.com/repos/googlecolab/colabtools","labels_url":"https://api.github.com/repos/googlecolab/colabtools/issues/679/labels{/name}","comments_url":"https://api.github.com/repos/googlecolab/colabtools/issues/679/comments","events_url":"https://api.github.com/repos/googlecolab/colabtools/issues/679/events","html_url":"https://github.com/googlecolab/colabtools/issues/679","id":477710693,"node_id":"MDU6SXNzdWU0Nzc3MTA2OTM=","number":679,"title":"Large files on Google Docs are corrupted when used by CoLab","user":{"login":"palmcorp","id":7241494,"node_id":"MDQ6VXNlcjcyNDE0OTQ=","avatar_url":"https://avatars0.githubusercontent.com/u/7241494?v=4","gravatar_id":"","url":"https://api.github.com/users/palmcorp","html_url":"https://github.com/palmcorp","followers_url":"https://api.github.com/users/palmcorp/followers","following_url":"https://api.github.com/users/palmcorp/following{/other_user}","gists_url":"https://api.github.com/users/palmcorp/gists{/gist_id}","starred_url":"https://api.github.com/users/palmcorp/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/palmcorp/subscriptions","organizations_url":"https://api.github.com/users/palmcorp/orgs","repos_url":"https://api.github.com/users/palmcorp/repos","events_url":"https://api.github.com/users/palmcorp/events{/privacy}","received_events_url":"https://api.github.com/users/palmcorp/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":6,"created_at":"2019-08-07T05:11:09Z","updated_at":"2019-08-14T21:54:06Z","closed_at":"2019-08-07T17:29:02Z","author_association":"NONE","body":"Bug report for Colab: http://colab.research.google.com/.\r\n\r\nFWe are working with pre-trained models for a TensorFlow application running on CoLab.  There are 5 files of 1.5+ Gig each.  These pre-trained models are not modified by the Tensor Flow application.  Only a ‘restore’ is done.  The application can run to completion one night and the next night some of the checksums don’t match and the models have to be reloaded.  After reloading the application runs fine.\r\nIs there a way to impose read only lock on the files or force a resync to the CoLab notebook in the event that the just loaded files are in some cached limbo?\r\n"},"comment":{"url":"https://api.github.com/repos/googlecolab/colabtools/issues/comments/521433317","html_url":"https://github.com/googlecolab/colabtools/issues/679#issuecomment-521433317","issue_url":"https://api.github.com/repos/googlecolab/colabtools/issues/679","id":521433317,"node_id":"MDEyOklzc3VlQ29tbWVudDUyMTQzMzMxNw==","user":{"login":"palmcorp","id":7241494,"node_id":"MDQ6VXNlcjcyNDE0OTQ=","avatar_url":"https://avatars0.githubusercontent.com/u/7241494?v=4","gravatar_id":"","url":"https://api.github.com/users/palmcorp","html_url":"https://github.com/palmcorp","followers_url":"https://api.github.com/users/palmcorp/followers","following_url":"https://api.github.com/users/palmcorp/following{/other_user}","gists_url":"https://api.github.com/users/palmcorp/gists{/gist_id}","starred_url":"https://api.github.com/users/palmcorp/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/palmcorp/subscriptions","organizations_url":"https://api.github.com/users/palmcorp/orgs","repos_url":"https://api.github.com/users/palmcorp/repos","events_url":"https://api.github.com/users/palmcorp/events{/privacy}","received_events_url":"https://api.github.com/users/palmcorp/received_events","type":"User","site_admin":false},"created_at":"2019-08-14T21:54:06Z","updated_at":"2019-08-14T21:54:06Z","author_association":"NONE","body":"Ok. Here is the answer.  As you commented and I suspected, there is some issue with accessing large files on the Google Docs account from CoLab.  Maybe some timeout, possibly communication error, etc.  Now we keep the pre-trained model  archive on Google Docs.  Before running our application the models are copied to CoLab VM using (!cp ...).  The copying is relatively fast even though we are talking about ~ 10Gig.  The program runs in the CoLab VM.  Since using this strategy there have been no problems.  I'm writing this so others may benefit and Google can investigate the root cause.  (Contact me if additional details are needed.)"}}
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