{"action":"opened","issue":{"url":"https://api.github.com/repos/zhangyaqiang/lipreading/issues/1","repository_url":"https://api.github.com/repos/zhangyaqiang/lipreading","labels_url":"https://api.github.com/repos/zhangyaqiang/lipreading/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/zhangyaqiang/lipreading/issues/1/comments","events_url":"https://api.github.com/repos/zhangyaqiang/lipreading/issues/1/events","html_url":"https://github.com/zhangyaqiang/lipreading/issues/1","id":374827948,"node_id":"MDU6SXNzdWUzNzQ4Mjc5NDg=","number":1,"title":"a problem about model prediction","user":{"login":"zxfzqf","id":8280235,"node_id":"MDQ6VXNlcjgyODAyMzU=","avatar_url":"https://avatars0.githubusercontent.com/u/8280235?v=4","gravatar_id":"","url":"https://api.github.com/users/zxfzqf","html_url":"https://github.com/zxfzqf","followers_url":"https://api.github.com/users/zxfzqf/followers","following_url":"https://api.github.com/users/zxfzqf/following{/other_user}","gists_url":"https://api.github.com/users/zxfzqf/gists{/gist_id}","starred_url":"https://api.github.com/users/zxfzqf/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zxfzqf/subscriptions","organizations_url":"https://api.github.com/users/zxfzqf/orgs","repos_url":"https://api.github.com/users/zxfzqf/repos","events_url":"https://api.github.com/users/zxfzqf/events{/privacy}","received_events_url":"https://api.github.com/users/zxfzqf/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-29T01:48:20Z","updated_at":"2018-10-29T01:48:20Z","closed_at":null,"author_association":"NONE","body":"hi，你好，我英语不太好，怕词不达意，希望不介意我用中文。\r\n我刚开始使用tensorflow, dataload 方便参考你的这个项目的代码，确实训练速度比直接加载文件快，感谢!\r\n\r\n\r\n但是这么直接把把数据迭代器的返回的tensor 直接用作输入数据（模型定义文件，build_inputs 函数）,而没有定义占位符，把输入定义为一个动态shape的tensor, 怎么做单个数据的predict？\r\n我在加载模型做预测时，遇到期望获取（64，50，50，3）shape的张量的错误，64是训练时的batch_size，正常应该是期望（？，50，50，3）\r\n你是怎么做单个数据的预测的？\r\n先谢谢了！"}}
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