{"action":"closed","issue":{"url":"https://api.github.com/repos/lvapeab/nmt-keras/issues/68","repository_url":"https://api.github.com/repos/lvapeab/nmt-keras","labels_url":"https://api.github.com/repos/lvapeab/nmt-keras/issues/68/labels{/name}","comments_url":"https://api.github.com/repos/lvapeab/nmt-keras/issues/68/comments","events_url":"https://api.github.com/repos/lvapeab/nmt-keras/issues/68/events","html_url":"https://github.com/lvapeab/nmt-keras/issues/68","id":352852345,"node_id":"MDU6SXNzdWUzNTI4NTIzNDU=","number":68,"title":"Theano backend with \"USE_TF_OPTIMIZER = True\"","user":{"login":"ptamas88","id":36891268,"node_id":"MDQ6VXNlcjM2ODkxMjY4","avatar_url":"https://avatars3.githubusercontent.com/u/36891268?v=4","gravatar_id":"","url":"https://api.github.com/users/ptamas88","html_url":"https://github.com/ptamas88","followers_url":"https://api.github.com/users/ptamas88/followers","following_url":"https://api.github.com/users/ptamas88/following{/other_user}","gists_url":"https://api.github.com/users/ptamas88/gists{/gist_id}","starred_url":"https://api.github.com/users/ptamas88/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ptamas88/subscriptions","organizations_url":"https://api.github.com/users/ptamas88/orgs","repos_url":"https://api.github.com/users/ptamas88/repos","events_url":"https://api.github.com/users/ptamas88/events{/privacy}","received_events_url":"https://api.github.com/users/ptamas88/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-08-22T08:29:50Z","updated_at":"2018-08-22T08:54:59Z","closed_at":"2018-08-22T08:54:59Z","author_association":"NONE","body":"Hello!\r\nI am trying to run NMT-Keras in an nvidia-docker container but it uses Theano backend no matter what I set in USE_TF_OPTIMIZER parameter in the config file. I haven't changed anything yet, just wanna see it running.\r\nI installed CUDA 9.0 with CudNN on the host and tensorflow-gpu in the container. If I run\r\n```\r\nfrom tensorflow.python.client import device_lib\r\nprint(device_lib.list_local_devices())\r\n```\r\ni cac see the GPUs.\r\nCan you help me what to change for tensorflow gpu usage?\r\nThanks!"}}
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