{"action":"created","issue":{"url":"https://api.github.com/repos/Currie32/Spell-Checker/issues/3","repository_url":"https://api.github.com/repos/Currie32/Spell-Checker","labels_url":"https://api.github.com/repos/Currie32/Spell-Checker/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/Currie32/Spell-Checker/issues/3/comments","events_url":"https://api.github.com/repos/Currie32/Spell-Checker/issues/3/events","html_url":"https://github.com/Currie32/Spell-Checker/issues/3","id":281012997,"node_id":"MDU6SXNzdWUyODEwMTI5OTc=","number":3,"title":"DynamicAttentionWrapper'","user":{"login":"kiranvarghesev","id":20616334,"node_id":"MDQ6VXNlcjIwNjE2MzM0","avatar_url":"https://avatars3.githubusercontent.com/u/20616334?v=4","gravatar_id":"","url":"https://api.github.com/users/kiranvarghesev","html_url":"https://github.com/kiranvarghesev","followers_url":"https://api.github.com/users/kiranvarghesev/followers","following_url":"https://api.github.com/users/kiranvarghesev/following{/other_user}","gists_url":"https://api.github.com/users/kiranvarghesev/gists{/gist_id}","starred_url":"https://api.github.com/users/kiranvarghesev/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kiranvarghesev/subscriptions","organizations_url":"https://api.github.com/users/kiranvarghesev/orgs","repos_url":"https://api.github.com/users/kiranvarghesev/repos","events_url":"https://api.github.com/users/kiranvarghesev/events{/privacy}","received_events_url":"https://api.github.com/users/kiranvarghesev/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":14,"created_at":"2017-12-11T13:17:22Z","updated_at":"2018-12-07T12:35:14Z","closed_at":"2018-09-27T10:16:17Z","author_association":"NONE","body":" dec_cell = tf.contrib.seq2seq.DynamicAttentionWrapper(dec_cell,\r\n\r\nAttributeError: module 'tensorflow.contrib.seq2seq' has no attribute 'DynamicAttentionWrapper'"},"comment":{"url":"https://api.github.com/repos/Currie32/Spell-Checker/issues/comments/445219978","html_url":"https://github.com/Currie32/Spell-Checker/issues/3#issuecomment-445219978","issue_url":"https://api.github.com/repos/Currie32/Spell-Checker/issues/3","id":445219978,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0NTIxOTk3OA==","user":{"login":"pgup2501","id":45689100,"node_id":"MDQ6VXNlcjQ1Njg5MTAw","avatar_url":"https://avatars1.githubusercontent.com/u/45689100?v=4","gravatar_id":"","url":"https://api.github.com/users/pgup2501","html_url":"https://github.com/pgup2501","followers_url":"https://api.github.com/users/pgup2501/followers","following_url":"https://api.github.com/users/pgup2501/following{/other_user}","gists_url":"https://api.github.com/users/pgup2501/gists{/gist_id}","starred_url":"https://api.github.com/users/pgup2501/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pgup2501/subscriptions","organizations_url":"https://api.github.com/users/pgup2501/orgs","repos_url":"https://api.github.com/users/pgup2501/repos","events_url":"https://api.github.com/users/pgup2501/events{/privacy}","received_events_url":"https://api.github.com/users/pgup2501/received_events","type":"User","site_admin":false},"created_at":"2018-12-07T12:35:14Z","updated_at":"2018-12-07T12:35:14Z","author_association":"NONE","body":"@SumITUIC @HariWu1995 \r\nI made the changes as described, however gettign error. \r\nTensorflow version : 1.10.0\r\n\r\nTypeError: The two structures don't have the same nested structure.\r\n\r\nFirst structure: type=AttentionWrapperState str=AttentionWrapperState(cell_state=LSTMStateTuple(c=<tf.Tensor 'AttentionWrapperZeroState/checked_cell_state:0' shape=(64, 256) dtype=float32>, h=<tf.Tensor 'AttentionWrapperZeroState/checked_cell_state_1:0' shape=(64, 256) dtype=float32>), attention=<tf.Tensor 'AttentionWrapperZeroState/zeros_2:0' shape=(64, 256) dtype=float32>, time=<tf.Tensor 'AttentionWrapperZeroState/zeros_1:0' shape=() dtype=int32>, alignments=<tf.Tensor 'AttentionWrapperZeroState/zeros:0' shape=(64, ?) dtype=float32>, alignment_history=(), attention_state=<tf.Tensor 'AttentionWrapperZeroState/zeros_3:0' shape=(64, ?) dtype=float32>)\r\n\r\nSecond structure: type=AttentionWrapperState str=AttentionWrapperState(cell_state=(LSTMStateTuple(c=<tf.Tensor 'encoder_1/bidirectional_rnn/fw/fw/while/Exit_3:0' shape=(?, 256) dtype=float32>, h=<tf.Tensor 'encoder_1/bidirectional_rnn/fw/fw/while/Exit_4:0' shape=(?, 256) dtype=float32>), LSTMStateTuple(c=<tf.Tensor 'encoder_1/bidirectional_rnn/bw/bw/while/Exit_3:0' shape=(?, 256) dtype=float32>, h=<tf.Tensor 'encoder_1/bidirectional_rnn/bw/bw/while/Exit_4:0' shape=(?, 256) dtype=float32>)), attention=<tf.Tensor 'AttentionWrapperZeroState/zeros_2:0' shape=(64, 256) dtype=float32>, time=<tf.Tensor 'AttentionWrapperZeroState/zeros_1:0' shape=() dtype=int32>, alignments=<tf.Tensor 'AttentionWrapperZeroState/zeros:0' shape=(64, ?) dtype=float32>, alignment_history=(), attention_state=<tf.Tensor 'AttentionWrapperZeroState/zeros_3:0' shape=(64, ?) dtype=float32>)\r\n"}}
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