{"action":"opened","issue":{"url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/216","labels_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/216/labels{/name}","comments_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/216/comments","events_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/216/events","html_url":"https://github.com/deeplearning4j/deeplearning4j/issues/216","id":65014734,"number":216,"title":"Test Failure in MultiLayerTest.testDbnFaces","user":{"login":"smarthi","id":3137442,"avatar_url":"https://avatars.githubusercontent.com/u/3137442?v=3","gravatar_id":"","url":"https://api.github.com/users/smarthi","html_url":"https://github.com/smarthi","followers_url":"https://api.github.com/users/smarthi/followers","following_url":"https://api.github.com/users/smarthi/following{/other_user}","gists_url":"https://api.github.com/users/smarthi/gists{/gist_id}","starred_url":"https://api.github.com/users/smarthi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/smarthi/subscriptions","organizations_url":"https://api.github.com/users/smarthi/orgs","repos_url":"https://api.github.com/users/smarthi/repos","events_url":"https://api.github.com/users/smarthi/events{/privacy}","received_events_url":"https://api.github.com/users/smarthi/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-03-29T02:43:06Z","updated_at":"2015-03-29T02:43:06Z","closed_at":null,"body":"o.d.n.m.MultiLayerNetwork - Training on layer 1 with 28 examples\r\nTests run: 2, Failures: 1, Errors: 0, Skipped: 0, Time elapsed: 22.983 sec <<< FAILURE! - in org.deeplearning4j.nn.multilayer.MultiLayerTest\r\ntestDbnFaces(org.deeplearning4j.nn.multilayer.MultiLayerTest) Time elapsed: 3.488 sec <<< FAILURE!\r\njava.lang.AssertionError: Invalid output on labels. Must not contain nan or infinite numbers.\r\nat org.nd4j.linalg.lossfunctions.LossFunctions.score(LossFunctions.java:44)\r\nat org.deeplearning4j.nn.layers.BasePretrainNetwork.setScore(BasePretrainNetwork.java:68)\r\nat org.deeplearning4j.nn.layers.BaseLayer.setParams(BaseLayer.java:143)\r\nat org.deeplearning4j.optimize.solvers.BackTrackLineSearch.optimize(BackTrackLineSearch.java:219)\r\nat org.deeplearning4j.optimize.solvers.BaseOptimizer.optimize(BaseOptimizer.java:172)\r\nat org.deeplearning4j.optimize.Solver.optimize(Solver.java:44)\r\nat org.deeplearning4j.nn.layers.BaseLayer.fit(BaseLayer.java:309)\r\nat org.deeplearning4j.models.featuredetectors.rbm.RBM.fit(RBM.java:409)\r\nat org.deeplearning4j.nn.multilayer.MultiLayerNetwork.pretrain(MultiLayerNetwork.java:211)\r\nat org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1137)\r\nat org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1177)\r\nat org.deeplearning4j.nn.multilayer.MultiLayerTest.testDbnFaces(MultiLayerTest.java:82) "}}