{"action":"created","issue":{"url":"https://api.github.com/repos/dennybritz/chatbot-retrieval/issues/6","repository_url":"https://api.github.com/repos/dennybritz/chatbot-retrieval","labels_url":"https://api.github.com/repos/dennybritz/chatbot-retrieval/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/dennybritz/chatbot-retrieval/issues/6/comments","events_url":"https://api.github.com/repos/dennybritz/chatbot-retrieval/issues/6/events","html_url":"https://github.com/dennybritz/chatbot-retrieval/issues/6","id":164494192,"number":6,"title":"Get warning - Out of range after 1110 steps ","user":{"login":"Samurais","id":3538629,"avatar_url":"https://avatars.githubusercontent.com/u/3538629?v=3","gravatar_id":"","url":"https://api.github.com/users/Samurais","html_url":"https://github.com/Samurais","followers_url":"https://api.github.com/users/Samurais/followers","following_url":"https://api.github.com/users/Samurais/following{/other_user}","gists_url":"https://api.github.com/users/Samurais/gists{/gist_id}","starred_url":"https://api.github.com/users/Samurais/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Samurais/subscriptions","organizations_url":"https://api.github.com/users/Samurais/orgs","repos_url":"https://api.github.com/users/Samurais/repos","events_url":"https://api.github.com/users/Samurais/events{/privacy}","received_events_url":"https://api.github.com/users/Samurais/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2016-07-08T09:37:01Z","updated_at":"2016-07-08T14:59:15Z","closed_at":"2016-07-08T14:59:15Z","body":"# Description\r\n\r\nOS: Mac OSX \r\nTensorflow Version: 0.9.0, CPU-Only\r\n\r\nAfter running for two hours, the programs seems to be stopped and get results like below.\r\nSo, I think it is because of the warning here. What does it mean?\r\n\r\n![image](https://cloud.githubusercontent.com/assets/3538629/16683439/744289ec-4532-11e6-8188-df494995399b.png)\r\n\r\n\r\n\r\n```\r\nINFO:tensorflow:Results after 1080 steps (3.808 sec/batch): loss = 4.96496, recall_at_5 = 0.494155092593, recall_at_10 = 1.0, recall_at_2 = 0.225347222222, recall_at_1 = 0.166377314815.\r\nINFO:tensorflow:Results after 1090 steps (3.915 sec/batch): loss = 7.98244, recall_at_5 = 0.49375, recall_at_10 = 1.0, recall_at_2 = 0.225229357798, recall_at_1 = 0.166055045872.\r\nINFO:tensorflow:Results after 1100 steps (4.357 sec/batch): loss = 5.99536, recall_at_5 = 0.493295454545, recall_at_10 = 1.0, recall_at_2 = 0.225056818182, recall_at_1 = 0.165852272727.\r\nINFO:tensorflow:Results after 1110 steps (4.098 sec/batch): loss = 6.19901, recall_at_5 = 0.493130630631, recall_at_10 = 1.0, recall_at_2 = 0.224831081081, recall_at_1 = 0.165709459459.\r\nW tensorflow/core/framework/op_kernel.cc:936] Out of range: RandomShuffleQueue '_5_read_batch_features_eval/random_shuffle_queue' is closed and has insufficient elements (requested 16, current size 8)\r\n         [[Node: read_batch_features_eval = QueueDequeueMany[_class=[\"loc:@read_batch_features_eval/random_shuffle_queue\"], component_types=[DT_STRING, DT_STRING], timeout_ms=-1, _device=\"/job:localhost/replica:0/task:0/cpu:0\"](read_batch_features_eval/random_shuffle_queue, read_batch_features_eval/n)]]\r\nW tensorflow/core/framework/op_kernel.cc:936] Out of range: RandomShuffleQueue '_5_read_batch_features_eval/random_shuffle_queue' is closed and has insufficient elements (requested 16, current size 8)\r\n         [[Node: read_batch_features_eval = QueueDequeueMany[_class=[\"loc:@read_batch_features_eval/random_shuffle_queue\"], component_types=[DT_STRING, DT_STRING], timeout_ms=-1, _device=\"/job:localhost/replica:0/task:0/cpu:0\"](read_batch_features_eval/random_shuffle_queue, read_batch_features_eval/n)]]\r\nW tensorflow/core/framework/op_kernel.cc:936] Out of range: RandomShuffleQueue '_5_read_batch_features_eval/random_shuffle_queue' is closed and has insufficient elements (requested 16, current size 8)\r\n         [[Node: read_batch_features_eval = QueueDequeueMany[_class=[\"loc:@read_batch_features_eval/random_shuffle_queue\"], component_types=[DT_STRING, DT_STRING], timeout_ms=-1, _device=\"/job:localhost/replica:0/task:0/cpu:0\"](read_batch_features_eval/random_shuffle_queue, read_batch_features_eval/n)]]\r\nW tensorflow/core/framework/op_kernel.cc:936] Out of range: RandomShuffleQueue '_5_read_batch_features_eval/random_shuffle_queue' is closed and has insufficient elements (requested 16, current size 8)\r\n         [[Node: read_batch_features_eval = QueueDequeueMany[_class=[\"loc:@read_batch_features_eval/random_shuffle_queue\"], component_types=[DT_STRING, DT_STRING], timeout_ms=-1, _device=\"/job:localhost/replica:0/task:0/cpu:0\"](read_batch_features_eval/random_shuffle_queue, read_batch_features_eval/n)]]\r\nINFO:tensorflow:Input queue is exhausted.\r\nINFO:tensorflow:Saving evaluation summary for 0 step: loss = 6.19901, recall_at_5 = 0.493130630631, recall_at_10 = 1.0, recall_at_2 = 0.224831081081, recall_at_1 = 0.165709459459\r\nINFO:tensorflow:Step 1: loss = 4.48393\r\nINFO:tensorflow:training step 100, loss = 1.43115 (4.198 sec/batch).\r\nINFO:tensorflow:Step 101: loss = 1.58307\r\nINFO:tensorflow:training step 200, loss = 0.88204 (5.462 sec/batch).\r\nINFO:tensorflow:Step 201: loss = 0.771809\r\nINFO:tensorflow:training step 300, loss = 0.82967 (4.408 sec/batch).\r\nINFO:tensorflow:Step 301: loss = 0.808524\r\nINFO:tensorflow:training step 400, loss = 0.69053 (4.296 sec/batch).\r\nINFO:tensorflow:Step 401: loss = 0.725083\r\nINFO:tensorflow:training step 500, loss = 0.70153 (4.188 sec/batch).\r\nINFO:tensorflow:Step 501: loss = 0.687135\r\nINFO:tensorflow:training step 600, loss = 0.70823 (4.896 sec/batch).\r\nINFO:tensorflow:Step 601: loss = 0.662524\r\nINFO:tensorflow:training step 700, loss = 0.69382 (4.257 sec/batch).\r\nINFO:tensorflow:Step 701: loss = 0.702078\r\nINFO:tensorflow:training step 800, loss = 0.69694 (4.268 sec/batch).\r\nINFO:tensorflow:Step 801: loss = 0.685443\r\n```"},"comment":{"url":"https://api.github.com/repos/dennybritz/chatbot-retrieval/issues/comments/231382657","html_url":"https://github.com/dennybritz/chatbot-retrieval/issues/6#issuecomment-231382657","issue_url":"https://api.github.com/repos/dennybritz/chatbot-retrieval/issues/6","id":231382657,"user":{"login":"dennybritz","id":403133,"avatar_url":"https://avatars.githubusercontent.com/u/403133?v=3","gravatar_id":"","url":"https://api.github.com/users/dennybritz","html_url":"https://github.com/dennybritz","followers_url":"https://api.github.com/users/dennybritz/followers","following_url":"https://api.github.com/users/dennybritz/following{/other_user}","gists_url":"https://api.github.com/users/dennybritz/gists{/gist_id}","starred_url":"https://api.github.com/users/dennybritz/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dennybritz/subscriptions","organizations_url":"https://api.github.com/users/dennybritz/orgs","repos_url":"https://api.github.com/users/dennybritz/repos","events_url":"https://api.github.com/users/dennybritz/events{/privacy}","received_events_url":"https://api.github.com/users/dennybritz/received_events","type":"User","site_admin":false},"created_at":"2016-07-08T14:59:15Z","updated_at":"2016-07-08T14:59:15Z","body":"You can ignore the warning, it's normal becuase the epochs are limited to 1 during evaluation. And yeah, it'll be slow on a CPU."}}
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