{"action":"opened","issue":{"url":"https://api.github.com/repos/Lasagne/Recipes/issues/28","labels_url":"https://api.github.com/repos/Lasagne/Recipes/issues/28/labels{/name}","comments_url":"https://api.github.com/repos/Lasagne/Recipes/issues/28/comments","events_url":"https://api.github.com/repos/Lasagne/Recipes/issues/28/events","html_url":"https://github.com/Lasagne/Recipes/issues/28","id":112656690,"number":28,"title":"Spatial Transformation fails with colored images.","user":{"login":"mongoose54","id":277391,"avatar_url":"https://avatars.githubusercontent.com/u/277391?v=3","gravatar_id":"","url":"https://api.github.com/users/mongoose54","html_url":"https://github.com/mongoose54","followers_url":"https://api.github.com/users/mongoose54/followers","following_url":"https://api.github.com/users/mongoose54/following{/other_user}","gists_url":"https://api.github.com/users/mongoose54/gists{/gist_id}","starred_url":"https://api.github.com/users/mongoose54/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mongoose54/subscriptions","organizations_url":"https://api.github.com/users/mongoose54/orgs","repos_url":"https://api.github.com/users/mongoose54/repos","events_url":"https://api.github.com/users/mongoose54/events{/privacy}","received_events_url":"https://api.github.com/users/mongoose54/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-10-21T18:59:23Z","updated_at":"2015-10-21T18:59:23Z","closed_at":null,"body":"I am running the Spatial Transformation example (https://github.com/Lasagne/Recipes/blob/master/examples/spatial_transformer_network.ipynb) downsample_factor =1.0 and I am getting the following error:\r\n\r\n```\r\nMemoryError: Error allocating 110231552 bytes of device memory (out of memory).\r\nApply node that caused the error: GpuElemwise{Composite{(i0 * (i1 + Abs(i1)))},no_inplace}(CudaNdarrayConstant{[[[[ 0.5]]]]}, GpuElemwise{Add}[(0, 0)].0)\r\nToposort index: 279\r\nInputs types: [CudaNdarrayType(float32, (True, True, True, True)), CudaNdarrayType(float32, 4D)]\r\nInputs shapes: [(1, 1, 1, 1), (256, 32, 58, 58)]\r\nInputs strides: [(0, 0, 0, 0), (107648, 3364, 58, 1)]\r\nInputs values: [<CudaNdarray object at 0x7fef7314c7f0>, 'not shown']\r\nOutputs clients: [[GpuContiguous(GpuElemwise{Composite{(i0 * (i1 + Abs(i1)))},no_inplace}.0)]]\r\n\r\n```\r\n\r\nCan anyone replicate the same issue?"}}