{"action":"opened","issue":{"url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/750","repository_url":"https://api.github.com/repos/NVIDIA/nvidia-docker","labels_url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/750/labels{/name}","comments_url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/750/comments","events_url":"https://api.github.com/repos/NVIDIA/nvidia-docker/issues/750/events","html_url":"https://github.com/NVIDIA/nvidia-docker/issues/750","id":328639194,"node_id":"MDU6SXNzdWUzMjg2MzkxOTQ=","number":750,"title":"nvidia-docker fails on ppc64le server","user":{"login":"jtfogarty","id":6708730,"node_id":"MDQ6VXNlcjY3MDg3MzA=","avatar_url":"https://avatars0.githubusercontent.com/u/6708730?v=4","gravatar_id":"","url":"https://api.github.com/users/jtfogarty","html_url":"https://github.com/jtfogarty","followers_url":"https://api.github.com/users/jtfogarty/followers","following_url":"https://api.github.com/users/jtfogarty/following{/other_user}","gists_url":"https://api.github.com/users/jtfogarty/gists{/gist_id}","starred_url":"https://api.github.com/users/jtfogarty/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jtfogarty/subscriptions","organizations_url":"https://api.github.com/users/jtfogarty/orgs","repos_url":"https://api.github.com/users/jtfogarty/repos","events_url":"https://api.github.com/users/jtfogarty/events{/privacy}","received_events_url":"https://api.github.com/users/jtfogarty/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-06-01T19:46:53Z","updated_at":"2018-06-01T19:46:53Z","closed_at":null,"author_association":"NONE","body":"\r\n### 1. Issue or feature description\r\n\r\nWe followed the installation step but we get the below;\r\n\r\n### 2. Steps to reproduce the issue\r\n\r\n$ docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi\r\nUnable to find image 'nvidia/cuda:latest' locally\r\nlatest: Pulling from nvidia/cuda\r\n297061f60c36: Pull complete\r\ne9ccef17b516: Pull complete\r\ndbc33716854d: Pull complete\r\n8fe36b178d25: Pull complete\r\n686596545a94: Pull complete\r\nf081839f4369: Pull complete\r\nd104a36a885f: Pull complete\r\n0f528f58ddc9: Pull complete\r\n8c90b5a33c71: Pull complete\r\nce0fe7ba4592: Pull complete\r\nDigest: sha256:ea620731bb116b0ef882356f0f0ef8b32bc283dea7898d638c2166cc039c9243\r\nStatus: Downloaded newer image for nvidia/cuda:latest\r\nstandard_init_linux.go:190: exec user process caused \"no such file or directory\" \r\n\r\n$  docker run --runtime=nvidia --rm nvidia/cuda ls\r\nstandard_init_linux.go:190: exec user process caused \"exec format error\" \r\n\r\n### 3. Information to [attach](https://help.github.com/articles/file-attachments-on-issues-and-pull-requests/) (optional if deemed irrelevant)\r\n\r\n - [ ] Kernel version from `uname -a`\r\nLinux m97 4.4.0-70-generic #91-Ubuntu SMP Wed Mar 22 12:46:23 UTC 2017 ppc64le ppc64le ppc64le GNU/Linux\r\n - [ ] Any relevant kernel output lines from `dmesg`\r\n[dmesg.txt](https://github.com/NVIDIA/nvidia-docker/files/2063888/dmesg.txt)\r\n\r\n - [ ] Driver information from `nvidia-smi -a`\r\n[nvidia-smi-a.txt](https://github.com/NVIDIA/nvidia-docker/files/2063897/nvidia-smi-a.txt)\r\n\r\n - [ ] Docker version from `docker version`\r\nClient:\r\n Version:      18.03.1-ce\r\n API version:  1.37\r\n Go version:   go1.9.5\r\n Git commit:   9ee9f40\r\n Built:        Thu Apr 26 07:18:47 2018\r\n OS/Arch:      linux/ppc64le\r\n Experimental: false\r\n Orchestrator: swarm\r\n\r\nServer:\r\n Engine:\r\n  Version:      18.03.1-ce\r\n  API version:  1.37 (minimum version 1.12)\r\n  Go version:   go1.9.5\r\n  Git commit:   9ee9f40\r\n  Built:        Thu Apr 26 07:17:05 2018\r\n  OS/Arch:      linux/ppc64le\r\n  Experimental: false\r\n\r\n - [ ] NVIDIA packages version from `dpkg -l '*nvidia*'` _or_ `rpm -qa '*nvidia*'`\r\n[dpkg-nvidia.txt](https://github.com/NVIDIA/nvidia-docker/files/2063936/dpkg-nvidia.txt)\r\n\r\n - [ ] NVIDIA container library version from `nvidia-container-cli -V`\r\n[nvidia-container-cli.txt](https://github.com/NVIDIA/nvidia-docker/files/2063935/nvidia-container-cli.txt)\r\n\r\n - [ ] NVIDIA container library logs (see [troubleshooting](https://github.com/NVIDIA/nvidia-docker/wiki/Troubleshooting))\r\n\r\nnvidia-docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow:latest-gpu\r\nstandard_init_linux.go:190: exec user process caused \"exec format error\"\r\nm97:/ds_public/data/minsky/nvidia$ tail -f /var/log/nvidia-container-runtime-hook.log\r\nI0601 19:37:14.530926 41586 nvc_mount.c:115] mounting /dev/nvidia2 at /var/lib/docker/aufs/mnt/f7c89d7f63e691293314384a0982539b3bae120882987a737d045b2ae276f676/dev/nvidia2\r\nI0601 19:37:14.531032 41586 nvc_mount.c:312] mounting /proc/driver/nvidia/gpus/000a:01:00.0 at /var/lib/docker/aufs/mnt/f7c89d7f63e691293314384a0982539b3bae120882987a737d045b2ae276f676/proc/driver/nvidia/gpus/000a:01:00.0\r\nI0601 19:37:14.531101 41586 nvc_mount.c:349] whitelisting device node 195:2\r\nI0601 19:37:14.531188 41586 nvc_mount.c:115] mounting /dev/nvidia3 at /var/lib/docker/aufs/mnt/f7c89d7f63e691293314384a0982539b3bae120882987a737d045b2ae276f676/dev/nvidia3\r\nI0601 19:37:14.531298 41586 nvc_mount.c:312] mounting /proc/driver/nvidia/gpus/000b:01:00.0 at /var/lib/docker/aufs/mnt/f7c89d7f63e691293314384a0982539b3bae120882987a737d045b2ae276f676/proc/driver/nvidia/gpus/000b:01:00.0\r\nI0601 19:37:14.531352 41586 nvc_mount.c:349] whitelisting device node 195:3\r\nI0601 19:37:14.531386 41586 nvc_ldcache.c:327] executing /sbin/ldconfig.real from host at /var/lib/docker/aufs/mnt/f7c89d7f63e691293314384a0982539b3bae120882987a737d045b2ae276f676\r\nI0601 19:37:14.728237 41586 nvc.c:311] shutting down library context\r\nI0601 19:37:14.729317 41593 driver.c:183] terminating driver service\r\nI0601 19:37:14.770854 41586 driver.c:224] driver service terminated successfully\r\n - [ ] Docker command, image and tag used\r\n"}}
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