{"action":"opened","issue":{"url":"https://api.github.com/repos/NVIDIA/OpenSeq2Seq/issues/69","repository_url":"https://api.github.com/repos/NVIDIA/OpenSeq2Seq","labels_url":"https://api.github.com/repos/NVIDIA/OpenSeq2Seq/issues/69/labels{/name}","comments_url":"https://api.github.com/repos/NVIDIA/OpenSeq2Seq/issues/69/comments","events_url":"https://api.github.com/repos/NVIDIA/OpenSeq2Seq/issues/69/events","html_url":"https://github.com/NVIDIA/OpenSeq2Seq/issues/69","id":318226444,"number":69,"title":"DeepSpeech2 encoder treats padding as valid input","user":{"login":"Kipok","id":2354422,"avatar_url":"https://avatars0.githubusercontent.com/u/2354422?v=4","gravatar_id":"","url":"https://api.github.com/users/Kipok","html_url":"https://github.com/Kipok","followers_url":"https://api.github.com/users/Kipok/followers","following_url":"https://api.github.com/users/Kipok/following{/other_user}","gists_url":"https://api.github.com/users/Kipok/gists{/gist_id}","starred_url":"https://api.github.com/users/Kipok/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Kipok/subscriptions","organizations_url":"https://api.github.com/users/Kipok/orgs","repos_url":"https://api.github.com/users/Kipok/repos","events_url":"https://api.github.com/users/Kipok/events{/privacy}","received_events_url":"https://api.github.com/users/Kipok/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-04-26T23:08:02Z","updated_at":"2018-04-26T23:08:02Z","closed_at":null,"author_association":"COLLABORATOR","body":"This is because our input is batched with all samples padded to the longest length. That affects both convolutional part, as well as cudnn rnn part. There is a quick fix for convolutions (multiplying their output with correct mask), but for cudnn rnn we are blocked with this issue: https://github.com/tensorflow/tensorflow/issues/6633"}}
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