{"action":"created","issue":{"url":"https://api.github.com/repos/ethereon/caffe-tensorflow/issues/18","repository_url":"https://api.github.com/repos/ethereon/caffe-tensorflow","labels_url":"https://api.github.com/repos/ethereon/caffe-tensorflow/issues/18/labels{/name}","comments_url":"https://api.github.com/repos/ethereon/caffe-tensorflow/issues/18/comments","events_url":"https://api.github.com/repos/ethereon/caffe-tensorflow/issues/18/events","html_url":"https://github.com/ethereon/caffe-tensorflow/issues/18","id":138114519,"number":18,"title":"Issue Converting AlexNet","user":{"login":"zplizzi","id":5598968,"avatar_url":"https://avatars.githubusercontent.com/u/5598968?v=3","gravatar_id":"","url":"https://api.github.com/users/zplizzi","html_url":"https://github.com/zplizzi","followers_url":"https://api.github.com/users/zplizzi/followers","following_url":"https://api.github.com/users/zplizzi/following{/other_user}","gists_url":"https://api.github.com/users/zplizzi/gists{/gist_id}","starred_url":"https://api.github.com/users/zplizzi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zplizzi/subscriptions","organizations_url":"https://api.github.com/users/zplizzi/orgs","repos_url":"https://api.github.com/users/zplizzi/repos","events_url":"https://api.github.com/users/zplizzi/events{/privacy}","received_events_url":"https://api.github.com/users/zplizzi/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2016-03-03T08:46:27Z","updated_at":"2016-03-04T13:13:36Z","closed_at":null,"body":"I have what I imagine is a rather simple problem. I'm trying to import the standard bvlc_alexnet model from the Caffe github (caffe/models/bvlc_alexnet). I've tried both the train_val and the solver prototext file, and get different errors for each - both in the first layer. \r\n\r\nIn train_val.prototext, the first layer is:\r\n```\r\nlayer {\r\n  name: \"data\"\r\n  type: \"Data\"\r\n  top: \"data\"\r\n  top: \"label\"\r\n  include {\r\n    phase: TRAIN\r\n  }\r\n  transform_param {\r\n    mirror: true\r\n    crop_size: 227\r\n    mean_file: \"data/ilsvrc12/imagenet_mean.binaryproto\"\r\n  }\r\n  data_param {\r\n    source: \"examples/imagenet/ilsvrc12_train_lmdb\"\r\n    batch_size: 256\r\n    backend: LMDB\r\n  }\r\n}\r\n```\r\nand the error is \"Cannot determine the dimensions of data layer\".\r\nIf I use deploy.prototext:\r\n```\r\nlayer {\r\n  name: \"data\"\r\n  type: \"Input\"\r\n  top: \"data\"\r\n  input_param { shape: { dim: 10 dim: 3 dim: 227 dim: 227 } }\r\n}\r\n```\r\nI get an error because the \"Input\" layer is not recognized, and also because the \"input_param\" property is not recognized. \r\n\r\nI'm sure I'm doing something foolish, but can't seem to figure it out! Perhaps including a sample prototext file that converts successfully would help people like me massage our files into the correct format?"},"comment":{"url":"https://api.github.com/repos/ethereon/caffe-tensorflow/issues/comments/192279593","html_url":"https://github.com/ethereon/caffe-tensorflow/issues/18#issuecomment-192279593","issue_url":"https://api.github.com/repos/ethereon/caffe-tensorflow/issues/18","id":192279593,"user":{"login":"osimeoni","id":6552361,"avatar_url":"https://avatars.githubusercontent.com/u/6552361?v=3","gravatar_id":"","url":"https://api.github.com/users/osimeoni","html_url":"https://github.com/osimeoni","followers_url":"https://api.github.com/users/osimeoni/followers","following_url":"https://api.github.com/users/osimeoni/following{/other_user}","gists_url":"https://api.github.com/users/osimeoni/gists{/gist_id}","starred_url":"https://api.github.com/users/osimeoni/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/osimeoni/subscriptions","organizations_url":"https://api.github.com/users/osimeoni/orgs","repos_url":"https://api.github.com/users/osimeoni/repos","events_url":"https://api.github.com/users/osimeoni/events{/privacy}","received_events_url":"https://api.github.com/users/osimeoni/received_events","type":"User","site_admin":false},"created_at":"2016-03-04T13:13:36Z","updated_at":"2016-03-04T13:13:36Z","body":"+1\r\n\r\nIsn't those errors yield by Tensorflow new version (0.7) ?"}}