{"action":"created","issue":{"url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/262","repository_url":"https://api.github.com/repos/NVIDIA/nvidia-docker","labels_url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/262/labels{/name}","comments_url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/262/comments","events_url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/262/events","html_url":"https://github.com/NVIDIA/nvidia-docker/issues/262","id":193688577,"number":262,"title":"modprobe: ERROR: ../libkmod/libkmod.c:556 kmod_search_moddep() could not open moddep file '/lib/modules/4.4.0-45-generic/modules.dep.bin'","user":{"login":"streamnsight","id":10981776,"avatar_url":"https://avatars.githubusercontent.com/u/10981776?v=3","gravatar_id":"","url":"https://api.github.com/users/streamnsight","html_url":"https://github.com/streamnsight","followers_url":"https://api.github.com/users/streamnsight/followers","following_url":"https://api.github.com/users/streamnsight/following{/other_user}","gists_url":"https://api.github.com/users/streamnsight/gists{/gist_id}","starred_url":"https://api.github.com/users/streamnsight/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/streamnsight/subscriptions","organizations_url":"https://api.github.com/users/streamnsight/orgs","repos_url":"https://api.github.com/users/streamnsight/repos","events_url":"https://api.github.com/users/streamnsight/events{/privacy}","received_events_url":"https://api.github.com/users/streamnsight/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":11,"created_at":"2016-12-06T05:47:35Z","updated_at":"2016-12-08T06:42:37Z","closed_at":null,"body":"running tensorflow with \r\n`sudo nvidia-docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow:latest-gpu`\r\n\r\nand when openign a tf.Session() I get:\r\n\r\n```\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally\r\nmodprobe: ERROR: ../libkmod/libkmod.c:556 kmod_search_moddep() could not open moddep file '/lib/modules/4.4.0-45-generic/modules.dep.bin'\r\nE tensorflow/stream_executor/cuda/cuda_driver.cc:509] failed call to cuInit: CUDA_ERROR_UNKNOWN\r\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:158] retrieving CUDA diagnostic information for host: b73324416bd2\r\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: b73324416bd2\r\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] libcuda reported version is: 367.48.0\r\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:363] driver version file contents: \"\"\"NVRM version: NVIDIA UNIX x86_64 Kernel Module  367.48  Sat Sep  3 18:21:08 PDT 2016\r\nGCC version:  gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.2) \r\n\"\"\"\r\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:193] kernel reported version is: 367.48.0\r\nI tensorflow/stream_executor/cuda/cuda_diagnostics.cc:300] kernel version seems to match DSO: 367.48.0\r\n```\r\n\r\nI have a GTX460 and GTX780 Ti on the machine, running Ubuntu 16.04 LTS\r\n\r\nHow should I go about debugging this?\r\n\r\nThanks"},"comment":{"url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/comments/265665585","html_url":"https://github.com/NVIDIA/nvidia-docker/issues/262#issuecomment-265665585","issue_url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/262","id":265665585,"user":{"login":"streamnsight","id":10981776,"avatar_url":"https://avatars.githubusercontent.com/u/10981776?v=3","gravatar_id":"","url":"https://api.github.com/users/streamnsight","html_url":"https://github.com/streamnsight","followers_url":"https://api.github.com/users/streamnsight/followers","following_url":"https://api.github.com/users/streamnsight/following{/other_user}","gists_url":"https://api.github.com/users/streamnsight/gists{/gist_id}","starred_url":"https://api.github.com/users/streamnsight/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/streamnsight/subscriptions","organizations_url":"https://api.github.com/users/streamnsight/orgs","repos_url":"https://api.github.com/users/streamnsight/repos","events_url":"https://api.github.com/users/streamnsight/events{/privacy}","received_events_url":"https://api.github.com/users/streamnsight/received_events","type":"User","site_admin":false},"created_at":"2016-12-08T06:42:37Z","updated_at":"2016-12-08T06:42:37Z","body":"The full JuPyter log to the session open\r\n```\r\n$ sudo nvidia-docker run -it -p 8888:8888 -e CUDA_VISIBLE_DEVICES=0 tensorflow/tensorflow:latest-gpu\r\n[I 06:40:38.689 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret\r\n[W 06:40:38.705 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.\r\n[W 06:40:38.706 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using authentication. This is highly insecure and not recommended.\r\n[I 06:40:38.726 NotebookApp] Serving notebooks from local directory: /notebooks\r\n[I 06:40:38.726 NotebookApp] 0 active kernels \r\n[I 06:40:38.726 NotebookApp] The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/\r\n[I 06:40:38.727 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).\r\n\r\n\r\n[W 06:40:45.818 NotebookApp] 404 GET /api/kernels/c839e9ba-7866-45d8-95d3-59c5e48f36e4/channels?session_id=923C793918DD4E0A8FEDB9BC411B8727 (192.168.10.38): Kernel does not exist: c839e9ba-7866-45d8-95d3-59c5e48f36e4\r\n[W 06:40:45.861 NotebookApp] 404 GET /api/kernels/c839e9ba-7866-45d8-95d3-59c5e48f36e4/channels?session_id=923C793918DD4E0A8FEDB9BC411B8727 (192.168.10.38) 51.31ms referer=None\r\n[I 06:40:51.056 NotebookApp] Writing notebook-signing key to /root/.local/share/jupyter/notebook_secret\r\n[W 06:40:51.074 NotebookApp] Notebook 3_mnist_from_scratch.ipynb is not trusted\r\n[W 06:40:51.135 NotebookApp] 404 GET /nbextensions/widgets/notebook/js/extension.js?v=20161208064038 (192.168.10.38) 2.67ms referer=http://192.168.10.40:8888/notebooks/3_mnist_from_scratch.ipynb\r\n[I 06:40:52.304 NotebookApp] Kernel started: 0a5b8d6a-2b0f-4ee7-8c0b-f49500ebbe54\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally\r\nI tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally\r\nI tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 0 with properties: \r\nname: GeForce GTX 780 Ti\r\nmajor: 3 minor: 5 memoryClockRate (GHz) 1.0715\r\npciBusID 0000:83:00.0\r\nTotal memory: 2.95GiB\r\nFree memory: 2.85GiB\r\nI tensorflow/core/common_runtime/gpu/gpu_device.cc:906] DMA: 0 \r\nI tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 0:   Y \r\nI tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 780 Ti, pci bus id: 0000:83:00.0)\r\n```\r\n"}}
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