{"action":"created","issue":{"url":"https://api.github.com/repos/anishathalye/neural-style/issues/28","repository_url":"https://api.github.com/repos/anishathalye/neural-style","labels_url":"https://api.github.com/repos/anishathalye/neural-style/issues/28/labels{/name}","comments_url":"https://api.github.com/repos/anishathalye/neural-style/issues/28/comments","events_url":"https://api.github.com/repos/anishathalye/neural-style/issues/28/events","html_url":"https://github.com/anishathalye/neural-style/issues/28","id":180314092,"number":28,"title":"Aborted (core dumped)","user":{"login":"fdcqsjn","id":5201122,"avatar_url":"https://avatars1.githubusercontent.com/u/5201122?v=4","gravatar_id":"","url":"https://api.github.com/users/fdcqsjn","html_url":"https://github.com/fdcqsjn","followers_url":"https://api.github.com/users/fdcqsjn/followers","following_url":"https://api.github.com/users/fdcqsjn/following{/other_user}","gists_url":"https://api.github.com/users/fdcqsjn/gists{/gist_id}","starred_url":"https://api.github.com/users/fdcqsjn/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/fdcqsjn/subscriptions","organizations_url":"https://api.github.com/users/fdcqsjn/orgs","repos_url":"https://api.github.com/users/fdcqsjn/repos","events_url":"https://api.github.com/users/fdcqsjn/events{/privacy}","received_events_url":"https://api.github.com/users/fdcqsjn/received_events","type":"User","site_admin":false},"labels":[{"id":289942547,"url":"https://api.github.com/repos/anishathalye/neural-style/labels/question","name":"question","color":"cc317c","default":true}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":10,"created_at":"2016-09-30T14:12:53Z","updated_at":"2018-03-31T04:06:53Z","closed_at":"2016-10-05T05:56:37Z","author_association":"NONE","body":"Hi,could you give me some advice to solve this problem?\n``\nCUDA_VISIBLE_DEVICES=1` python neural_style.py --content examples/1-content.jpg --styles examples/1-style.jpg --output examples/TF1.jpg  \nI tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcublas.so locally\nI tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcudnn.so locally\nI tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcufft.so locally\nI tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcuda.so.1 locally\nI tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcurand.so locally\nE tensorflow/stream_executor/cuda/cuda_driver.cc:491] failed call to cuInit: CUDA_ERROR_NO_DEVICE\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:153] retrieving CUDA diagnostic information for host: icra-All-Series\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:160] hostname: icra-All-Series\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:185] libcuda reported version is: 367.48.0\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:356] driver version file contents: \"\"\"NVRM version: NVIDIA UNIX x86_64 Kernel Module  367.48  Sat Sep  3 18:21:08 PDT 2016\nGCC version:  gcc version 4.8.4 (Ubuntu 4.8.4-2ubuntu1~14.04.3) \n\"\"\"\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] kernel reported version is: 367.48.0\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:293] kernel version seems to match DSO: 367.48.0\nterminate called after throwing an instance of 'std::bad_alloc'\n  what():  std::bad_alloc\nAborted (core dumped)\n"},"comment":{"url":"https://api.github.com/repos/anishathalye/neural-style/issues/comments/377664126","html_url":"https://github.com/anishathalye/neural-style/issues/28#issuecomment-377664126","issue_url":"https://api.github.com/repos/anishathalye/neural-style/issues/28","id":377664126,"user":{"login":"ricoms","id":5393732,"avatar_url":"https://avatars2.githubusercontent.com/u/5393732?v=4","gravatar_id":"","url":"https://api.github.com/users/ricoms","html_url":"https://github.com/ricoms","followers_url":"https://api.github.com/users/ricoms/followers","following_url":"https://api.github.com/users/ricoms/following{/other_user}","gists_url":"https://api.github.com/users/ricoms/gists{/gist_id}","starred_url":"https://api.github.com/users/ricoms/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ricoms/subscriptions","organizations_url":"https://api.github.com/users/ricoms/orgs","repos_url":"https://api.github.com/users/ricoms/repos","events_url":"https://api.github.com/users/ricoms/events{/privacy}","received_events_url":"https://api.github.com/users/ricoms/received_events","type":"User","site_admin":false},"created_at":"2018-03-31T04:06:53Z","updated_at":"2018-03-31T04:06:53Z","author_association":"NONE","body":"I have a similar problem of OP.\r\n\r\nI was using Ubuntu 1604, nvidia driver 384, CUDA 9.0, with tensorflow 1.4.1 and keras, running on a Gforce 1060 with 6Gb of memory. I have some codes for VGG16, Resnet and others. The sript was running perfectly with batches of 16 images.\r\n\r\nThen I upgraded to CUDA 9.1, nvidia driver 390, tensorflow 1.7 and now the same script is ending abruptely on the first epoch with message `Aborted (core dumped)` ... even with a batch size of 1\r\n\r\nhelp?"}}
{"actor":{"display_login":"ricoms"}}