{"action":"created","issue":{"url":"https://api.github.com/repos/thumt/THUMT/issues/50","repository_url":"https://api.github.com/repos/thumt/THUMT","labels_url":"https://api.github.com/repos/thumt/THUMT/issues/50/labels{/name}","comments_url":"https://api.github.com/repos/thumt/THUMT/issues/50/comments","events_url":"https://api.github.com/repos/thumt/THUMT/issues/50/events","html_url":"https://github.com/thumt/THUMT/issues/50","id":372870152,"node_id":"MDU6SXNzdWUzNzI4NzAxNTI=","number":50,"title":"has the latest version added MultiGPU training module?","user":{"login":"alphadl","id":20458732,"node_id":"MDQ6VXNlcjIwNDU4NzMy","avatar_url":"https://avatars3.githubusercontent.com/u/20458732?v=4","gravatar_id":"","url":"https://api.github.com/users/alphadl","html_url":"https://github.com/alphadl","followers_url":"https://api.github.com/users/alphadl/followers","following_url":"https://api.github.com/users/alphadl/following{/other_user}","gists_url":"https://api.github.com/users/alphadl/gists{/gist_id}","starred_url":"https://api.github.com/users/alphadl/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/alphadl/subscriptions","organizations_url":"https://api.github.com/users/alphadl/orgs","repos_url":"https://api.github.com/users/alphadl/repos","events_url":"https://api.github.com/users/alphadl/events{/privacy}","received_events_url":"https://api.github.com/users/alphadl/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-23T08:25:49Z","updated_at":"2018-10-23T08:44:02Z","closed_at":null,"author_association":"NONE","body":"That's an important and efficient training trick to speed the training, I saw your teams' paper before which said that would implement multiGPU function soon , however , I can not find any description in your readme file~ "},"comment":{"url":"https://api.github.com/repos/thumt/THUMT/issues/comments/432154278","html_url":"https://github.com/thumt/THUMT/issues/50#issuecomment-432154278","issue_url":"https://api.github.com/repos/thumt/THUMT/issues/50","id":432154278,"node_id":"MDEyOklzc3VlQ29tbWVudDQzMjE1NDI3OA==","user":{"login":"Glaceon31","id":7431362,"node_id":"MDQ6VXNlcjc0MzEzNjI=","avatar_url":"https://avatars1.githubusercontent.com/u/7431362?v=4","gravatar_id":"","url":"https://api.github.com/users/Glaceon31","html_url":"https://github.com/Glaceon31","followers_url":"https://api.github.com/users/Glaceon31/followers","following_url":"https://api.github.com/users/Glaceon31/following{/other_user}","gists_url":"https://api.github.com/users/Glaceon31/gists{/gist_id}","starred_url":"https://api.github.com/users/Glaceon31/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Glaceon31/subscriptions","organizations_url":"https://api.github.com/users/Glaceon31/orgs","repos_url":"https://api.github.com/users/Glaceon31/repos","events_url":"https://api.github.com/users/Glaceon31/events{/privacy}","received_events_url":"https://api.github.com/users/Glaceon31/received_events","type":"User","site_admin":false},"created_at":"2018-10-23T08:44:02Z","updated_at":"2018-10-23T08:44:02Z","author_association":"COLLABORATOR","body":"Yes, the `device_list` parameter allows MultiGPU training\r\n\r\n> device_list: the list of GPUs to be used in training. Use the nvidia-smi command to \fnd unused GPUs. If the unused GPUs are gpu0 and gpu1, set this parameter as device_list=[0,1].\r\n\r\nPlease refer to `UserManual.pdf` for detailed usage."}}
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