{"action":"created","issue":{"url":"https://api.github.com/repos/bzcheeseman/Hobbit/issues/1","repository_url":"https://api.github.com/repos/bzcheeseman/Hobbit","labels_url":"https://api.github.com/repos/bzcheeseman/Hobbit/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/bzcheeseman/Hobbit/issues/1/comments","events_url":"https://api.github.com/repos/bzcheeseman/Hobbit/issues/1/events","html_url":"https://github.com/bzcheeseman/Hobbit/issues/1","id":311307369,"number":1,"title":"[Suggestion] Do you consider accepting tensorflow model and then emit LLVM IR?","user":{"login":"FrozenGene","id":7287321,"avatar_url":"https://avatars2.githubusercontent.com/u/7287321?v=4","gravatar_id":"","url":"https://api.github.com/users/FrozenGene","html_url":"https://github.com/FrozenGene","followers_url":"https://api.github.com/users/FrozenGene/followers","following_url":"https://api.github.com/users/FrozenGene/following{/other_user}","gists_url":"https://api.github.com/users/FrozenGene/gists{/gist_id}","starred_url":"https://api.github.com/users/FrozenGene/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/FrozenGene/subscriptions","organizations_url":"https://api.github.com/users/FrozenGene/orgs","repos_url":"https://api.github.com/users/FrozenGene/repos","events_url":"https://api.github.com/users/FrozenGene/events{/privacy}","received_events_url":"https://api.github.com/users/FrozenGene/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":28,"created_at":"2018-04-04T16:43:17Z","updated_at":"2018-04-07T01:57:09Z","closed_at":null,"author_association":"NONE","body":"I see your test is just call your C++ API. Do you consider in your project, you accept one trained tensorflow model and then emit LLVM IR, JIT it and execute it?"},"comment":{"url":"https://api.github.com/repos/bzcheeseman/Hobbit/issues/comments/379424206","html_url":"https://github.com/bzcheeseman/Hobbit/issues/1#issuecomment-379424206","issue_url":"https://api.github.com/repos/bzcheeseman/Hobbit/issues/1","id":379424206,"user":{"login":"FrozenGene","id":7287321,"avatar_url":"https://avatars2.githubusercontent.com/u/7287321?v=4","gravatar_id":"","url":"https://api.github.com/users/FrozenGene","html_url":"https://github.com/FrozenGene","followers_url":"https://api.github.com/users/FrozenGene/followers","following_url":"https://api.github.com/users/FrozenGene/following{/other_user}","gists_url":"https://api.github.com/users/FrozenGene/gists{/gist_id}","starred_url":"https://api.github.com/users/FrozenGene/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/FrozenGene/subscriptions","organizations_url":"https://api.github.com/users/FrozenGene/orgs","repos_url":"https://api.github.com/users/FrozenGene/repos","events_url":"https://api.github.com/users/FrozenGene/events{/privacy}","received_events_url":"https://api.github.com/users/FrozenGene/received_events","type":"User","site_admin":false},"created_at":"2018-04-07T01:57:09Z","updated_at":"2018-04-07T01:57:09Z","author_association":"NONE","body":"I see the roadmap in dev branch now. Maybe I prefer put the import TF model / ONNX model before operator registery. Because parsing model should be the start from the using / dev’s view, which just like reading one file, then we do lex analysis, parse, semantic, code generation and so on on the filed of compier."}}
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