{"action":"created","issue":{"url":"https://api.github.com/repos/fchollet/keras/issues/6029","repository_url":"https://api.github.com/repos/fchollet/keras","labels_url":"https://api.github.com/repos/fchollet/keras/issues/6029/labels{/name}","comments_url":"https://api.github.com/repos/fchollet/keras/issues/6029/comments","events_url":"https://api.github.com/repos/fchollet/keras/issues/6029/events","html_url":"https://github.com/fchollet/keras/issues/6029","id":217609207,"number":6029,"title":"keras 2.0.2 breaks resnet on theano backend","user":{"login":"oak-tree","id":667153,"avatar_url":"https://avatars0.githubusercontent.com/u/667153?v=4","gravatar_id":"","url":"https://api.github.com/users/oak-tree","html_url":"https://github.com/oak-tree","followers_url":"https://api.github.com/users/oak-tree/followers","following_url":"https://api.github.com/users/oak-tree/following{/other_user}","gists_url":"https://api.github.com/users/oak-tree/gists{/gist_id}","starred_url":"https://api.github.com/users/oak-tree/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/oak-tree/subscriptions","organizations_url":"https://api.github.com/users/oak-tree/orgs","repos_url":"https://api.github.com/users/oak-tree/repos","events_url":"https://api.github.com/users/oak-tree/events{/privacy}","received_events_url":"https://api.github.com/users/oak-tree/received_events","type":"User","site_admin":false},"labels":[{"id":611595073,"url":"https://api.github.com/repos/fchollet/keras/labels/stale","name":"stale","color":"ffffff","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":12,"created_at":"2017-03-28T15:58:22Z","updated_at":"2017-07-23T20:15:43Z","closed_at":null,"body":"I tried to run the example from  https://keras.io/applications/#resnet50 (copy&paste)\r\n\r\nThis result with the following error :\r\n\r\n```\r\n    preds = model.predict(x)\r\n  File \"/home/oak/venv2/local/lib/python2.7/site-packages/keras/engine/training.py\", line 1572, in predict\r\n    batch_size=batch_size, verbose=verbose)\r\n  File \"/home/oak/venv2/local/lib/python2.7/site-packages/keras/engine/training.py\", line 1202, in _predict_loop\r\n    batch_outs = f(ins_batch)\r\n  File \"/home/oak/venv2/local/lib/python2.7/site-packages/keras/backend/theano_backend.py\", line 1122, in __call__\r\n    return self.function(*inputs)\r\n  File \"/home/oak/venv2/local/lib/python2.7/site-packages/theano/compile/function_module.py\", line 898, in __call__\r\n    storage_map=getattr(self.fn, 'storage_map', None))\r\n  File \"/home/oak/venv2/local/lib/python2.7/site-packages/theano/gof/link.py\", line 325, in raise_with_op\r\n    reraise(exc_type, exc_value, exc_trace)\r\n  File \"/home/oak/venv2/local/lib/python2.7/site-packages/theano/compile/function_module.py\", line 884, in __call__\r\n    self.fn() if output_subset is None else\\\r\nValueError: GpuDnnConv images and kernel must have the same stack size\r\n\r\nApply node that caused the error: GpuDnnConv{algo='small', inplace=True}(GpuContiguous.0, GpuContiguous.0, GpuAllocEmpty.0, GpuDnnConvDesc{border_mode='valid', subsample=(2, 2), conv_mode='conv', precision='float32'}.0, Constant{1.0}, Constant{0.0})\r\nToposort index: 1039\r\nInputs types: [CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D), <theano.gof.type.CDataType object at 0x7fd6e7ed0190>, Scalar(float32), Scalar(float32)]\r\nInputs shapes: [(1, 3, 230, 230), (7, 7, 3, 64), (1, 7, 114, 84), 'No shapes', (), ()]\r\nInputs strides: [(0, 52900, 230, 1), (1344, 192, 64, 1), (0, 9576, 84, 1), 'No strides', (), ()]\r\nInputs values: ['not shown', 'not shown', 'not shown', <capsule object NULL at 0x7fd6eae6ce70>, 1.0, 0.0]\r\nInputs name: ('image', 'kernel', 'output', 'descriptor', 'alpha', 'beta')\r\n\r\nOutputs clients: [[GpuElemwise{Add}[(0, 0)](GpuDnnConv{algo='small', inplace=True}.0, GpuDimShuffle{x,0,x,x}.0)]]\r\n```\r\n"},"comment":{"url":"https://api.github.com/repos/fchollet/keras/issues/comments/317278982","html_url":"https://github.com/fchollet/keras/issues/6029#issuecomment-317278982","issue_url":"https://api.github.com/repos/fchollet/keras/issues/6029","id":317278982,"user":{"login":"probot-stale[bot]","id":26384082,"avatar_url":"https://avatars2.githubusercontent.com/u/26350515?v=4","gravatar_id":"","url":"https://api.github.com/users/probot-stale%5Bbot%5D","html_url":"https://github.com/apps/probot-stale","followers_url":"https://api.github.com/users/probot-stale%5Bbot%5D/followers","following_url":"https://api.github.com/users/probot-stale%5Bbot%5D/following{/other_user}","gists_url":"https://api.github.com/users/probot-stale%5Bbot%5D/gists{/gist_id}","starred_url":"https://api.github.com/users/probot-stale%5Bbot%5D/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/probot-stale%5Bbot%5D/subscriptions","organizations_url":"https://api.github.com/users/probot-stale%5Bbot%5D/orgs","repos_url":"https://api.github.com/users/probot-stale%5Bbot%5D/repos","events_url":"https://api.github.com/users/probot-stale%5Bbot%5D/events{/privacy}","received_events_url":"https://api.github.com/users/probot-stale%5Bbot%5D/received_events","type":"Bot","site_admin":false},"created_at":"2017-07-23T20:15:43Z","updated_at":"2017-07-23T20:15:43Z","body":"This issue has been automatically marked as stale because it has not had recent activity. It will be closed after 30 days if no further activity  occurs, but feel free to re-open a closed issue if needed.\n"}}
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