{"action":"closed","issue":{"url":"https://api.github.com/repos/rosinality/vq-vae-2-pytorch/issues/17","repository_url":"https://api.github.com/repos/rosinality/vq-vae-2-pytorch","labels_url":"https://api.github.com/repos/rosinality/vq-vae-2-pytorch/issues/17/labels{/name}","comments_url":"https://api.github.com/repos/rosinality/vq-vae-2-pytorch/issues/17/comments","events_url":"https://api.github.com/repos/rosinality/vq-vae-2-pytorch/issues/17/events","html_url":"https://github.com/rosinality/vq-vae-2-pytorch/issues/17","id":497708000,"node_id":"MDU6SXNzdWU0OTc3MDgwMDA=","number":17,"title":"Is q_latent_loss missing?","user":{"login":"nimaous","id":1583087,"node_id":"MDQ6VXNlcjE1ODMwODc=","avatar_url":"https://avatars1.githubusercontent.com/u/1583087?v=4","gravatar_id":"","url":"https://api.github.com/users/nimaous","html_url":"https://github.com/nimaous","followers_url":"https://api.github.com/users/nimaous/followers","following_url":"https://api.github.com/users/nimaous/following{/other_user}","gists_url":"https://api.github.com/users/nimaous/gists{/gist_id}","starred_url":"https://api.github.com/users/nimaous/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/nimaous/subscriptions","organizations_url":"https://api.github.com/users/nimaous/orgs","repos_url":"https://api.github.com/users/nimaous/repos","events_url":"https://api.github.com/users/nimaous/events{/privacy}","received_events_url":"https://api.github.com/users/nimaous/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2019-09-24T13:59:36Z","updated_at":"2019-09-26T20:06:51Z","closed_at":"2019-09-26T20:06:51Z","author_association":"NONE","body":"Hi \r\nI was comparing your code with the original TensorFlow code made by the authors. It seems you\r\nare not considering q_latent_loss in your Quantize class (check line 101 of https://github.com/deepmind/sonnet/blob/master/sonnet/python/modules/nets/vqvae.py)  \r\nAm I missing something?  "}}
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