{"action":"created","issue":{"url":"https://api.github.com/repos/dmlc/tvm/issues/1981","repository_url":"https://api.github.com/repos/dmlc/tvm","labels_url":"https://api.github.com/repos/dmlc/tvm/issues/1981/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/tvm/issues/1981/comments","events_url":"https://api.github.com/repos/dmlc/tvm/issues/1981/events","html_url":"https://github.com/dmlc/tvm/pull/1981","id":373751083,"node_id":"MDExOlB1bGxSZXF1ZXN0MjI1NjA3MTk2","number":1981,"title":"[nnvm] Add caffe2 frontend","user":{"login":"hlu1","id":14827759,"node_id":"MDQ6VXNlcjE0ODI3NzU5","avatar_url":"https://avatars2.githubusercontent.com/u/14827759?v=4","gravatar_id":"","url":"https://api.github.com/users/hlu1","html_url":"https://github.com/hlu1","followers_url":"https://api.github.com/users/hlu1/followers","following_url":"https://api.github.com/users/hlu1/following{/other_user}","gists_url":"https://api.github.com/users/hlu1/gists{/gist_id}","starred_url":"https://api.github.com/users/hlu1/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/hlu1/subscriptions","organizations_url":"https://api.github.com/users/hlu1/orgs","repos_url":"https://api.github.com/users/hlu1/repos","events_url":"https://api.github.com/users/hlu1/events{/privacy}","received_events_url":"https://api.github.com/users/hlu1/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-10-25T02:45:46Z","updated_at":"2018-10-25T18:03:13Z","closed_at":null,"author_association":"CONTRIBUTOR","pull_request":{"url":"https://api.github.com/repos/dmlc/tvm/pulls/1981","html_url":"https://github.com/dmlc/tvm/pull/1981","diff_url":"https://github.com/dmlc/tvm/pull/1981.diff","patch_url":"https://github.com/dmlc/tvm/pull/1981.patch"},"body":"The caffe2 nnvm frontend now supports three models from the caffe2 modelzoo (https://github.com/caffe2/models): squeezenet(v1.1), resnet50, and vgg19. \r\n\r\n@ajtulloch, @tqchen, @zhreshold, please review, thanks!"},"comment":{"url":"https://api.github.com/repos/dmlc/tvm/issues/comments/433149351","html_url":"https://github.com/dmlc/tvm/pull/1981#issuecomment-433149351","issue_url":"https://api.github.com/repos/dmlc/tvm/issues/1981","id":433149351,"node_id":"MDEyOklzc3VlQ29tbWVudDQzMzE0OTM1MQ==","user":{"login":"zhreshold","id":3307514,"node_id":"MDQ6VXNlcjMzMDc1MTQ=","avatar_url":"https://avatars2.githubusercontent.com/u/3307514?v=4","gravatar_id":"","url":"https://api.github.com/users/zhreshold","html_url":"https://github.com/zhreshold","followers_url":"https://api.github.com/users/zhreshold/followers","following_url":"https://api.github.com/users/zhreshold/following{/other_user}","gists_url":"https://api.github.com/users/zhreshold/gists{/gist_id}","starred_url":"https://api.github.com/users/zhreshold/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zhreshold/subscriptions","organizations_url":"https://api.github.com/users/zhreshold/orgs","repos_url":"https://api.github.com/users/zhreshold/repos","events_url":"https://api.github.com/users/zhreshold/events{/privacy}","received_events_url":"https://api.github.com/users/zhreshold/received_events","type":"User","site_admin":false},"created_at":"2018-10-25T18:03:13Z","updated_at":"2018-10-25T18:03:13Z","author_association":"MEMBER","body":"@hlu1 Before diving into details, on high level, the caffe2 converter is actually really similar to the onnx one, if bypass onnx work is your intention, can you verify if onnx/caffe2 converter can be differentiated with modular settings? \r\n\r\nSeems like the only difference is how you get the op sets, either by loading a onnx model or run caffe2 to get the blob list?"}}
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