docker: Error response from daemon: Unknown runtime specified nvidiawhile running nvidia docker

[Sawatdatta]

1. Issue or feature description

docker: Error response from daemon: Unknown runtime specified nvidia.

2. Steps to reproduce the issue

sudo docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi

3. Information to attach (optional if deemed irrelevant)

Linux ds-HP-Pavilion-Notebook 4.10.0-28-generic #32~16.04.2-Ubuntu SMP Thu Jul 20 10:19:48 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux

• Driver information from nvidia-smi -a

Timestamp : Sun Dec 17 14:56:13 2017
Driver Version : 384.98

Attached GPUs : 1
GPU 00000000:01:00.0
Product Name : GeForce 940M
Product Brand : GeForce
Display Mode : Disabled
Display Active : Disabled
Persistence Mode : Disabled
Accounting Mode : Disabled
Accounting Mode Buffer Size : 1920
Driver Model
Current : N/A
Pending : N/A
Serial Number : N/A
GPU UUID : GPU-ba67d3da-b480-f0f3-c215-143fea8f5a03
Minor Number : 0
VBIOS Version : 82.08.3C.00.4C
MultiGPU Board : No
Board ID : 0x100
GPU Part Number : N/A
Inforom Version
Image Version : N/A
OEM Object : N/A
ECC Object : N/A
Power Management Object : N/A
GPU Operation Mode
Current : N/A
Pending : N/A
GPU Virtualization Mode
Virtualization mode : None
PCI
Bus : 0x01
Device : 0x00
Domain : 0x0000
Device Id : 0x134710DE
Bus Id : 00000000:01:00.0
Sub System Id : 0x80A4103C
GPU Link Info
PCIe Generation
Max : 3
Current : 3
Link Width
Max : 4x
Current : 4x
Bridge Chip
Type : N/A
Firmware : N/A
Replays since reset : 0
Tx Throughput : 0 KB/s
Rx Throughput : 0 KB/s
Fan Speed : N/A
Performance State : P0
Clocks Throttle Reasons
Idle : Not Active
Applications Clocks Setting : Active
SW Power Cap : Not Active
HW Slowdown : Not Active
Sync Boost : Not Active
SW Thermal Slowdown : Not Active
FB Memory Usage
Total : 2002 MiB
Used : 0 MiB
Free : 2002 MiB
BAR1 Memory Usage
Total : 256 MiB
Used : 1 MiB
Free : 255 MiB
Compute Mode : Default
Utilization
Gpu : 0 %
Memory : 0 %
Encoder : N/A
Decoder : N/A
Encoder Stats
Active Sessions : 0
Average FPS : 0
Average Latency : 0
Ecc Mode
Current : N/A
Pending : N/A
ECC Errors
Volatile
Single Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : N/A
Double Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : N/A
Aggregate
Single Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : N/A
Double Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : N/A
Retired Pages
Single Bit ECC : N/A
Double Bit ECC : N/A
Pending : N/A
Temperature
GPU Current Temp : 45 C
GPU Shutdown Temp : 99 C
GPU Slowdown Temp : 94 C
GPU Max Operating Temp : 90 C
Memory Current Temp : N/A
Memory Max Operating Temp : N/A
Power Readings
Power Management : N/A
Power Draw : N/A
Power Limit : N/A
Default Power Limit : N/A
Enforced Power Limit : N/A
Min Power Limit : N/A
Max Power Limit : N/A
Clocks
Graphics : 1071 MHz
SM : 1071 MHz
Memory : 900 MHz
Video : 1050 MHz
Applications Clocks
Graphics : 1071 MHz
Memory : 900 MHz
Default Applications Clocks
Graphics : 1071 MHz
Memory : 900 MHz
Max Clocks
Graphics : 1176 MHz
SM : 1176 MHz
Memory : 900 MHz
Video : 1152 MHz
Max Customer Boost Clocks
Graphics : N/A
Clock Policy
Auto Boost : N/A
Auto Boost Default : N/A
Processes : None

• Docker version from docker version

Client:
Version: 17.09.1-ce
API version: 1.32
Go version: go1.8.3
Git commit: 19e2cf6
Built: Thu Dec 7 22:24:23 2017
OS/Arch: linux/amd64

Server:
Version: 17.09.1-ce
API version: 1.32 (minimum version 1.12)
Go version: go1.8.3
Git commit: 19e2cf6
Built: Thu Dec 7 22:23:00 2017
OS/Arch: linux/amd64
Experimental: false

• NVIDIA packages version from dpkg -l '*nvidia*' or rpm -qa '*nvidia*'

ii libnvidia-container-tools 1.0.0alpha.2-1 amd64 NVIDIA container runtime library (command-line tools)
ii libnvidia-container1:amd64 1.0.0alpha.2-1 amd64 NVIDIA container runtime library
un nvidia-common (no description available)
ii nvidia-container-runtime 1.1.0+docker17.09.1-1 amd64 NVIDIA container runtime
un nvidia-docker (no description available)
ii nvidia-docker2 2.0.1+docker17.09.1-1 all nvidia-docker CLI wrapper
ii nvidia-modprobe 361.28-1 amd64 utility to load NVIDIA kernel modules and create device nodes
un nvidia-prime (no description available)

• NVIDIA container library version from nvidia-container-cli -V
  ersion: 1.0.0
  build date: 2017-10-30T23:47+00:00
  build revision: ec15c7233bd2de821ad5127cb0de6b52d9d2083c
  build compiler: gcc-5 5.4.0 20160609
  build flags: -D_GNU_SOURCE -D_FORTIFY_SOURCE=2 -DNDEBUG -std=gnu11 -O2 -g -fdata-sections -ffunction-sections -fstack-protector -fno-strict-aliasing -fvisibility=hidden -Wall -Wextra -Wcast-align -Wpointer-arith -Wmissing-prototypes -Wnonnull -Wwrite-strings -Wlogical-op -Wformat=2 -Wmissing-format-attribute -Winit-self -Wshadow -Wstrict-prototypes -Wunreachable-code -Wconversion -Wsign-conversion -Wno-unknown-warning-option -Wno-format-extra-args -Wno-gnu-alignof-expression -Wl,-zrelro -Wl,-znow -Wl,-zdefs -Wl,--gc-sections

• NVIDIA container library logs (see troubleshooting)

• Docker command, image and tag used

[3XX0]

See: https://github.com/NVIDIA/nvidia-docker/wiki/Frequently-Asked-Questions#why-do-i-get-the-error-unknown-runtime-specified-nvidia