{"action":"closed","issue":{"url":"https://api.github.com/repos/salu133445/bmusegan/issues/3","repository_url":"https://api.github.com/repos/salu133445/bmusegan","labels_url":"https://api.github.com/repos/salu133445/bmusegan/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/salu133445/bmusegan/issues/3/comments","events_url":"https://api.github.com/repos/salu133445/bmusegan/issues/3/events","html_url":"https://github.com/salu133445/bmusegan/issues/3","id":376698960,"node_id":"MDU6SXNzdWUzNzY2OTg5NjA=","number":3,"title":"The second stage train problem ","user":{"login":"ericosmic","id":35327931,"node_id":"MDQ6VXNlcjM1MzI3OTMx","avatar_url":"https://avatars3.githubusercontent.com/u/35327931?v=4","gravatar_id":"","url":"https://api.github.com/users/ericosmic","html_url":"https://github.com/ericosmic","followers_url":"https://api.github.com/users/ericosmic/followers","following_url":"https://api.github.com/users/ericosmic/following{/other_user}","gists_url":"https://api.github.com/users/ericosmic/gists{/gist_id}","starred_url":"https://api.github.com/users/ericosmic/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ericosmic/subscriptions","organizations_url":"https://api.github.com/users/ericosmic/orgs","repos_url":"https://api.github.com/users/ericosmic/repos","events_url":"https://api.github.com/users/ericosmic/events{/privacy}","received_events_url":"https://api.github.com/users/ericosmic/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":6,"created_at":"2018-11-02T07:33:08Z","updated_at":"2018-11-02T15:50:45Z","closed_at":"2018-11-02T15:50:45Z","author_association":"NONE","body":"I tried to train bmusegan model by the source code in musegan github ,  it always stop in the 'initializing variables'  step and jump out .  So I check the source program and find the problem maybe  happen in the main.py  , when we choose  second_stage training phase , the program still jump into first_stage's class GAN and cause the initial wrong .    "}}
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