{"action":"closed","issue":{"url":"https://api.github.com/repos/Microsoft/CNTK/issues/3223","repository_url":"https://api.github.com/repos/Microsoft/CNTK","labels_url":"https://api.github.com/repos/Microsoft/CNTK/issues/3223/labels{/name}","comments_url":"https://api.github.com/repos/Microsoft/CNTK/issues/3223/comments","events_url":"https://api.github.com/repos/Microsoft/CNTK/issues/3223/events","html_url":"https://github.com/Microsoft/CNTK/issues/3223","id":326599871,"number":3223,"title":"High GPU load + slow training time difference between C++ compiled model and Python compiled model","user":{"login":"DPJep","id":38493325,"avatar_url":"https://avatars1.githubusercontent.com/u/38493325?v=4","gravatar_id":"","url":"https://api.github.com/users/DPJep","html_url":"https://github.com/DPJep","followers_url":"https://api.github.com/users/DPJep/followers","following_url":"https://api.github.com/users/DPJep/following{/other_user}","gists_url":"https://api.github.com/users/DPJep/gists{/gist_id}","starred_url":"https://api.github.com/users/DPJep/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/DPJep/subscriptions","organizations_url":"https://api.github.com/users/DPJep/orgs","repos_url":"https://api.github.com/users/DPJep/repos","events_url":"https://api.github.com/users/DPJep/events{/privacy}","received_events_url":"https://api.github.com/users/DPJep/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-05-25T17:05:08Z","updated_at":"2018-05-25T19:36:16Z","closed_at":"2018-05-25T19:36:16Z","author_association":"NONE","body":"I have created a fully convolutional segmentation model in C++, and saved to disk.\r\nThen I created the exact same model in python code. \r\n\r\nI then load the C++ generated model into python and start training. \r\nThe GPU load and training time is much larger for the C++ created on. Same parameters, same model etc. \r\n\r\nDoes anyone have an idea what the cause could be? "}}
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