{"action":"closed","issue":{"url":"https://api.github.com/repos/Amir-Arsalan/Synthesize3DviaDepthOrSil/issues/3","repository_url":"https://api.github.com/repos/Amir-Arsalan/Synthesize3DviaDepthOrSil","labels_url":"https://api.github.com/repos/Amir-Arsalan/Synthesize3DviaDepthOrSil/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/Amir-Arsalan/Synthesize3DviaDepthOrSil/issues/3/comments","events_url":"https://api.github.com/repos/Amir-Arsalan/Synthesize3DviaDepthOrSil/issues/3/events","html_url":"https://github.com/Amir-Arsalan/Synthesize3DviaDepthOrSil/issues/3","id":293119243,"number":3,"title":"Questions about trainning the network","user":{"login":"guoyan1991","id":24508191,"avatar_url":"https://avatars0.githubusercontent.com/u/24508191?v=4","gravatar_id":"","url":"https://api.github.com/users/guoyan1991","html_url":"https://github.com/guoyan1991","followers_url":"https://api.github.com/users/guoyan1991/followers","following_url":"https://api.github.com/users/guoyan1991/following{/other_user}","gists_url":"https://api.github.com/users/guoyan1991/gists{/gist_id}","starred_url":"https://api.github.com/users/guoyan1991/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/guoyan1991/subscriptions","organizations_url":"https://api.github.com/users/guoyan1991/orgs","repos_url":"https://api.github.com/users/guoyan1991/repos","events_url":"https://api.github.com/users/guoyan1991/events{/privacy}","received_events_url":"https://api.github.com/users/guoyan1991/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":9,"created_at":"2018-01-31T11:12:35Z","updated_at":"2018-02-02T21:49:21Z","closed_at":"2018-02-02T21:49:21Z","author_association":"NONE","body":"I have two questions and I really hope to get your help.\r\n\r\nFirst, I have a big problem with training data.\r\nI want to use the ShapeNet Core dataset to repeat your experiments. So I'm going to convert the .mat file into the .ply file.I've found that I can copy the vertex array and faces array directly from the mat file into the ply file. But this approach is too complex. Do you have some simpler ways to do it？\r\n\r\nSecond, I find the following problems when I training the network of AllVP with a 3D shape(only depths from 20 views). I don't know if it's due to my incorrect input.\r\n\r\n/install/torch/install/bin/luajit: /install/torch/install/share/lua/5.1/nn/Container.lua:67: \r\nIn 3 module of nn.Sequential:\r\n...torch/install/share/lua/5.1/cudnn/BatchNormalization.lua:44: assertion failed!\r\nstack traceback:\r\n\t[C]: in function 'assert'\r\n\t...torch/install/share/lua/5.1/cudnn/BatchNormalization.lua:44: in function 'createIODescriptors'\r\n\t...torch/install/share/lua/5.1/cudnn/BatchNormalization.lua:60: in function <...torch/install/share/lua/5.1/cudnn/BatchNormalization.lua:59>\r\n\t[C]: in function 'xpcall'\r\n\t/install/torch/install/share/lua/5.1/nn/Container.lua:63: in function 'rethrowErrors'\r\n\t/install/torch/install/share/lua/5.1/nn/Sequential.lua:44: in function 'func'\r\n\t/install/torch/install/share/lua/5.1/nngraph/gmodule.lua:345: in function 'neteval'\r\n\t/install/torch/install/share/lua/5.1/nngraph/gmodule.lua:380: in function 'forward'\r\n\t2_train.lua:300: in function 'opfunc'\r\n\t/install/torch/install/share/lua/5.1/optim/adam.lua:37: in function 'adam'\r\n\t2_train.lua:406: in main chunk\r\n\t[C]: in function 'dofile'\r\n\tmain.lua:130: in main chunk\r\n\t[C]: in function 'dofile'\r\n\t...tall/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk\r\n\t[C]: at 0x00405e90\r\n\r\nThanks for your help."}}
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