{"action":"closed","issue":{"url":"https://api.github.com/repos/apple/turicreate/issues/268","repository_url":"https://api.github.com/repos/apple/turicreate","labels_url":"https://api.github.com/repos/apple/turicreate/issues/268/labels{/name}","comments_url":"https://api.github.com/repos/apple/turicreate/issues/268/comments","events_url":"https://api.github.com/repos/apple/turicreate/issues/268/events","html_url":"https://github.com/apple/turicreate/issues/268","id":296751960,"number":268,"title":"ERROR: Incomplete installation for leveraging GPUs for computations.","user":{"login":"frogg","id":5204169,"avatar_url":"https://avatars2.githubusercontent.com/u/5204169?v=4","gravatar_id":"","url":"https://api.github.com/users/frogg","html_url":"https://github.com/frogg","followers_url":"https://api.github.com/users/frogg/followers","following_url":"https://api.github.com/users/frogg/following{/other_user}","gists_url":"https://api.github.com/users/frogg/gists{/gist_id}","starred_url":"https://api.github.com/users/frogg/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/frogg/subscriptions","organizations_url":"https://api.github.com/users/frogg/orgs","repos_url":"https://api.github.com/users/frogg/repos","events_url":"https://api.github.com/users/frogg/events{/privacy}","received_events_url":"https://api.github.com/users/frogg/received_events","type":"User","site_admin":false},"labels":[{"id":766077336,"url":"https://api.github.com/repos/apple/turicreate/labels/question","name":"question","color":"cc317c","default":true}],"state":"closed","locked":false,"assignee":{"login":"frogg","id":5204169,"avatar_url":"https://avatars2.githubusercontent.com/u/5204169?v=4","gravatar_id":"","url":"https://api.github.com/users/frogg","html_url":"https://github.com/frogg","followers_url":"https://api.github.com/users/frogg/followers","following_url":"https://api.github.com/users/frogg/following{/other_user}","gists_url":"https://api.github.com/users/frogg/gists{/gist_id}","starred_url":"https://api.github.com/users/frogg/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/frogg/subscriptions","organizations_url":"https://api.github.com/users/frogg/orgs","repos_url":"https://api.github.com/users/frogg/repos","events_url":"https://api.github.com/users/frogg/events{/privacy}","received_events_url":"https://api.github.com/users/frogg/received_events","type":"User","site_admin":false},"assignees":[{"login":"frogg","id":5204169,"avatar_url":"https://avatars2.githubusercontent.com/u/5204169?v=4","gravatar_id":"","url":"https://api.github.com/users/frogg","html_url":"https://github.com/frogg","followers_url":"https://api.github.com/users/frogg/followers","following_url":"https://api.github.com/users/frogg/following{/other_user}","gists_url":"https://api.github.com/users/frogg/gists{/gist_id}","starred_url":"https://api.github.com/users/frogg/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/frogg/subscriptions","organizations_url":"https://api.github.com/users/frogg/orgs","repos_url":"https://api.github.com/users/frogg/repos","events_url":"https://api.github.com/users/frogg/events{/privacy}","received_events_url":"https://api.github.com/users/frogg/received_events","type":"User","site_admin":false}],"milestone":null,"comments":3,"created_at":"2018-02-13T14:16:28Z","updated_at":"2018-02-14T00:06:49Z","closed_at":"2018-02-14T00:06:49Z","author_association":"CONTRIBUTOR","body":"When I run the script to train my MLModel using the SFrame, I always get the following error when using a GPU. Do you have any idea what I'm doing wrong?\r\n\r\n```\r\n[15:11:34] /home/travis/build/dmlc/mxnet-distro/mxnet-build/dmlc-core/include/dmlc/logging.h:308: [15:11:34] src/storage/storage.cc:113: Compile with USE_CUDA=1 to enable GPU usage\r\n\r\nStack trace returned 10 entries:\r\n[bt] (0) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x16d89c) [0x7f0a536b289c]\r\n[bt] (1) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x255313f) [0x7f0a55a9813f]\r\n[bt] (2) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2555637) [0x7f0a55a9a637]\r\n[bt] (3) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x2555bac) [0x7f0a55a9abac]\r\n[bt] (4) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(+0x1f88738) [0x7f0a554cd738]\r\n[bt] (5) /usr/local/lib/python3.5/dist-packages/mxnet/libmxnet.so(MXNDArrayCreateEx+0x169) [0x7f0a554c5269]\r\n[bt] (6) /usr/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(ffi_call_unix64+0x4c) [0x7f0a65049e20]\r\n[bt] (7) /usr/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(ffi_call+0x2eb) [0x7f0a6504988b]\r\n[bt] (8) /usr/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(_ctypes_callproc+0x49a) [0x7f0a6504401a]\r\n[bt] (9) /usr/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(+0x9fcb) [0x7f0a65037fcb]\r\n\r\n\r\nERROR: Incomplete installation for leveraging GPUs for computations.\r\nPlease make sure you have CUDA installed and run the following line in\r\nyour terminal and try again:\r\n\r\n    pip uninstall -y mxnet && pip install mxnet-cu90==0.12.1\r\n\r\nAdjust 'cu90' depending on your CUDA version ('cu75' and 'cu80' are also available).\r\nYou can also disable GPU usage altogether by invoking turicreate.config.set_num_gpus(0)\r\n```"}}
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