{"action":"created","issue":{"url":"https://api.github.com/repos/facebookresearch/maskrcnn-benchmark/issues/194","repository_url":"https://api.github.com/repos/facebookresearch/maskrcnn-benchmark","labels_url":"https://api.github.com/repos/facebookresearch/maskrcnn-benchmark/issues/194/labels{/name}","comments_url":"https://api.github.com/repos/facebookresearch/maskrcnn-benchmark/issues/194/comments","events_url":"https://api.github.com/repos/facebookresearch/maskrcnn-benchmark/issues/194/events","html_url":"https://github.com/facebookresearch/maskrcnn-benchmark/issues/194","id":383027087,"node_id":"MDU6SXNzdWUzODMwMjcwODc=","number":194,"title":"Segmentation fault (core dumped) during training","user":{"login":"Mikarnival","id":19759170,"node_id":"MDQ6VXNlcjE5NzU5MTcw","avatar_url":"https://avatars3.githubusercontent.com/u/19759170?v=4","gravatar_id":"","url":"https://api.github.com/users/Mikarnival","html_url":"https://github.com/Mikarnival","followers_url":"https://api.github.com/users/Mikarnival/followers","following_url":"https://api.github.com/users/Mikarnival/following{/other_user}","gists_url":"https://api.github.com/users/Mikarnival/gists{/gist_id}","starred_url":"https://api.github.com/users/Mikarnival/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Mikarnival/subscriptions","organizations_url":"https://api.github.com/users/Mikarnival/orgs","repos_url":"https://api.github.com/users/Mikarnival/repos","events_url":"https://api.github.com/users/Mikarnival/events{/privacy}","received_events_url":"https://api.github.com/users/Mikarnival/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-11-21T09:28:05Z","updated_at":"2018-11-21T10:11:13Z","closed_at":null,"author_association":"NONE","body":"## ❓ Questions and Help\r\nHi again,\r\n\r\nThe code works perfect with webcam. But when I try to train with coco dataset, I get segmentation fault, as showing below. I use single GPU. The GPU of my working notebook is not good. Is the small GPU the problem? Thank you!\r\n\r\nI. System environment:\r\n\r\n`2018-11-21 10:20:26,515 maskrcnn_benchmark INFO: Collecting env info (might take some time)\r\n2018-11-21 10:20:28,013 maskrcnn_benchmark INFO: \r\nPyTorch version: 1.0.0.dev20181113\r\nIs debug build: No\r\nCUDA used to build PyTorch: 8.0.61\r\n\r\nOS: Ubuntu 16.04.5 LTS\r\nGCC version: (GCC) 5.2.0\r\nCMake version: version 3.5.1\r\n\r\nPython version: 3.6\r\nIs CUDA available: Yes\r\nCUDA runtime version: 7.5.17\r\nGPU models and configuration: GPU 0: GeForce GTX 1050\r\nNvidia driver version: 390.87\r\ncuDNN version: Could not collect\r\n\r\nVersions of relevant libraries:\r\n[pip] Could not collect\r\n[conda] cuda80                    1.0                  h205658b_0    pytorch\r\n[conda] pytorch-nightly           1.0.0.dev20181113 py3.6_cuda8.0.61_cudnn7.1.2_0  [cuda80]  pytorch\r\n        Pillow (5.3.0)\r\n`\r\nII. Part of the response when trainning:\r\n\r\n`2018-11-21 10:22:42,559 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.conv3.weight               loaded from layer4.2.conv3.weight        of shape (2048, 512, 1, 1)\r\n2018-11-21 10:22:42,559 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.stem.bn1.bias                       loaded from bn1.bias                     of shape (64,)\r\n2018-11-21 10:22:42,559 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.stem.bn1.weight                     loaded from bn1.weight                   of shape (64,)\r\n2018-11-21 10:22:42,559 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.stem.conv1.weight                   loaded from conv1.weight                 of shape (64, 3, 7, 7)\r\nSegmentation fault (core dumped)\r\n`\r\n\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/facebookresearch/maskrcnn-benchmark/issues/comments/440608275","html_url":"https://github.com/facebookresearch/maskrcnn-benchmark/issues/194#issuecomment-440608275","issue_url":"https://api.github.com/repos/facebookresearch/maskrcnn-benchmark/issues/194","id":440608275,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0MDYwODI3NQ==","user":{"login":"fmassa","id":9110200,"node_id":"MDQ6VXNlcjkxMTAyMDA=","avatar_url":"https://avatars2.githubusercontent.com/u/9110200?v=4","gravatar_id":"","url":"https://api.github.com/users/fmassa","html_url":"https://github.com/fmassa","followers_url":"https://api.github.com/users/fmassa/followers","following_url":"https://api.github.com/users/fmassa/following{/other_user}","gists_url":"https://api.github.com/users/fmassa/gists{/gist_id}","starred_url":"https://api.github.com/users/fmassa/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/fmassa/subscriptions","organizations_url":"https://api.github.com/users/fmassa/orgs","repos_url":"https://api.github.com/users/fmassa/repos","events_url":"https://api.github.com/users/fmassa/events{/privacy}","received_events_url":"https://api.github.com/users/fmassa/received_events","type":"User","site_admin":false},"created_at":"2018-11-21T10:11:13Z","updated_at":"2018-11-21T10:11:13Z","author_association":"CONTRIBUTOR","body":"Hi,\r\n\r\nIt seems that you have CUDA 7.5 in your system, but you installed a PyTorch nightly from CUDA 8.0.\r\nMaybe that's the issue? Can you try upgrading your CUDA?"}}
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