1) sudo docker run --gpus 0 -it --rm nvcr.io/nvidia/pytorch:19.06-py3
2) inside the container use the python terminal
write this cide
import torch
import numpy as np
x=torch.from_numpy(np.array([1,2]))
y=x.cuda()
the terminal hangs and doesn't proceed
[ ] Some nvidia-container information: nvidia-container-cli -k -d /dev/tty info
[ ]-- WARNING, the following logs are for debugging purposes only --
[ ] Kernel version from uname -a
Linux visionlab 5.4.0-135-generic NVIDIA/nvidia-docker#152-Ubuntu SMP Wed Nov 23 20:19:22 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux
[ ] Any relevant kernel output lines from dmesg
[ ] Driver information from nvidia-smi -a
==============NVSMI LOG==============
Timestamp : Sun Dec 11 21:35:37 2022
Driver Version : 525.60.13
CUDA Version : 12.0
Attached GPUs : 1
GPU 00000000:03:00.0
Product Name : NVIDIA GeForce RTX 3090
Product Brand : GeForce
Product Architecture : Ampere
Display Mode : Enabled
Display Active : Disabled
Persistence Mode : Enabled
MIG Mode
Current : N/A
Pending : N/A
Accounting Mode : Disabled
Accounting Mode Buffer Size : 4000
Driver Model
Current : N/A
Pending : N/A
Serial Number : N/A
GPU UUID : GPU-15132fc8-6058-2032-32e5-8d742940df99
Minor Number : 0
VBIOS Version : 94.02.42.40.72
MultiGPU Board : No
Board ID : 0x300
Board Part Number : N/A
GPU Part Number : 2204-300-A1
Module ID : 0
Inforom Version
Image Version : G001.0000.03.03
OEM Object : 2.0
ECC Object : N/A
Power Management Object : N/A
GPU Operation Mode
Current : N/A
Pending : N/A
GSP Firmware Version : N/A
GPU Virtualization Mode
Virtualization Mode : None
Host VGPU Mode : N/A
IBMNPU
Relaxed Ordering Mode : N/A
PCI
Bus : 0x03
Device : 0x00
Domain : 0x0000
Device Id : 0x220410DE
Bus Id : 00000000:03:00.0
Sub System Id : 0x145410DE
GPU Link Info
PCIe Generation
Max : 3
Current : 1
Device Current : 1
Device Max : 4
Host Max : 3
Link Width
Max : 16x
Current : 16x
Bridge Chip
Type : N/A
Firmware : N/A
Replays Since Reset : 0
Replay Number Rollovers : 0
Tx Throughput : 0 KB/s
Rx Throughput : 0 KB/s
Atomic Caps Inbound : N/A
Atomic Caps Outbound : N/A
Fan Speed : 0 %
Performance State : P8
Clocks Throttle Reasons
Idle : Active
Applications Clocks Setting : Not Active
SW Power Cap : Not Active
HW Slowdown : Not Active
HW Thermal Slowdown : Not Active
HW Power Brake Slowdown : Not Active
Sync Boost : Not Active
SW Thermal Slowdown : Not Active
Display Clock Setting : Not Active
FB Memory Usage
Total : 24576 MiB
Reserved : 317 MiB
Used : 553 MiB
Free : 23705 MiB
BAR1 Memory Usage
Total : 256 MiB
Used : 7 MiB
Free : 249 MiB
Compute Mode : Default
Utilization
Gpu : 0 %
Memory : 0 %
Encoder : 0 %
Decoder : 0 %
Encoder Stats
Active Sessions : 0
Average FPS : 0
Average Latency : 0
FBC Stats
Active Sessions : 0
Average FPS : 0
Average Latency : 0
Ecc Mode
Current : N/A
Pending : N/A
ECC Errors
Volatile
SRAM Correctable : N/A
SRAM Uncorrectable : N/A
DRAM Correctable : N/A
DRAM Uncorrectable : N/A
Aggregate
SRAM Correctable : N/A
SRAM Uncorrectable : N/A
DRAM Correctable : N/A
DRAM Uncorrectable : N/A
Retired Pages
Single Bit ECC : N/A
Double Bit ECC : N/A
Pending Page Blacklist : N/A
Remapped Rows : N/A
Temperature
GPU Current Temp : 51 C
GPU Shutdown Temp : 98 C
GPU Slowdown Temp : 95 C
GPU Max Operating Temp : 93 C
GPU Target Temperature : 83 C
Memory Current Temp : N/A
Memory Max Operating Temp : N/A
Power Readings
Power Management : Supported
Power Draw : 23.19 W
Power Limit : 370.00 W
Default Power Limit : 370.00 W
Enforced Power Limit : 370.00 W
Min Power Limit : 100.00 W
Max Power Limit : 370.00 W
Clocks
Graphics : 0 MHz
SM : 0 MHz
Memory : 405 MHz
Video : 555 MHz
Applications Clocks
Graphics : N/A
Memory : N/A
Default Applications Clocks
Graphics : N/A
Memory : N/A
Deferred Clocks
Memory : N/A
Max Clocks
Graphics : 2115 MHz
SM : 2115 MHz
Memory : 9751 MHz
Video : 1950 MHz
Max Customer Boost Clocks
Graphics : N/A
Clock Policy
Auto Boost : N/A
Auto Boost Default : N/A
Voltage
Graphics : 0.000 mV
Fabric
State : N/A
Status : N/A
Processes
GPU instance ID : N/A
Compute instance ID : N/A
Process ID : 2052
Type : G
Name : /usr/lib/xorg/Xorg
Used GPU Memory : 55 MiB
GPU instance ID : N/A
Compute instance ID : N/A
Process ID : 2252
Type : G
Name : /usr/bin/gnome-shell
Used GPU Memory : 12 MiB
GPU instance ID : N/A
Compute instance ID : N/A
Process ID : 79713
Type : G
Name : /usr/lib/xorg/Xorg
Used GPU Memory : 53 MiB
GPU instance ID : N/A
Compute instance ID : N/A
Process ID : 105354
Type : G
Name : /usr/lib/firefox/firefox
Used GPU Memory : 296 MiB
GPU instance ID : N/A
Compute instance ID : N/A
Process ID : 150301
Type : G
Name : /usr/share/code/code --type=gpu-process --disable-color-correct-rendering --enable-crashpad --crashpad-handler-pid=150289 --enable-crash-reporter=220d09c7-ace4-4d8a-a019-f5551f55bb4e,no_channel --user-data-dir=/home/vishesh/.config/Code --gpu-preferences=UAAAAAAAAAAgAAAIAAAAAAAAAAAAAAAAAABgAAAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAABgAAAAAAAAAGAAAAAAAAAAIAAAAAAAAAAgAAAAAAAAACAAAAAAAAAA= --shared-files --field-trial-handle=0,5632948566441798013,1364472480275554198,131072 --disable-features=PlzServiceWorker,SpareRendererForSitePerProcess
Used GPU Memory : 27 MiB
[ ] Docker version from docker version
Client: Docker Engine - Community
Version: 20.10.21
API version: 1.41
Go version: go1.18.7
Git commit: baeda1f
Built: Tue Oct 25 18:02:21 2022
OS/Arch: linux/amd64
Context: default
Experimental: true
Server: Docker Engine - Community
Engine:
Version: 20.10.21
API version: 1.41 (minimum version 1.12)
Go version: go1.18.7
Git commit: 3056208
Built: Tue Oct 25 18:00:04 2022
OS/Arch: linux/amd64
Experimental: false
containerd:
Version: 1.6.12
GitCommit: a05d175400b1145e5e6a735a6710579d181e7fb0
runc:
Version: 1.1.4
GitCommit: v1.1.4-0-g5fd4c4d
docker-init:
Version: 0.19.0
GitCommit: de40ad0
[ ] NVIDIA packages version from dpkg -l '*nvidia*'orrpm -qa '*nvidia*'
Note that on the docker command line --gpus 0 indicates a count and not the device index. Could you repeat your experiment with --gpus 1 or --gpus all instead?
2. Steps to reprduce the issue
1) sudo docker run --gpus 0 -it --rm nvcr.io/nvidia/pytorch:19.06-py3 2) inside the container use the python terminal write this cide import torch import numpy as np x=torch.from_numpy(np.array([1,2])) y=x.cuda()
the terminal hangs and doesn't proceed
nvidia-container-cli -k -d /dev/tty info
I1211 16:03:56.895535 862955 nvc.c:376] initializing library context (version=1.11.0, build=c8f267be0bac1c654d59ad4ea5df907141149977) I1211 16:03:56.895630 862955 nvc.c:350] using root / I1211 16:03:56.895650 862955 nvc.c:351] using ldcache /etc/ld.so.cache I1211 16:03:56.895668 862955 nvc.c:352] using unprivileged user 1013:1014 I1211 16:03:56.895712 862955 nvc.c:393] attempting to load dxcore to see if we are running under Windows Subsystem for Linux (WSL) I1211 16:03:56.895983 862955 nvc.c:395] dxcore initialization failed, continuing assuming a non-WSL environment W1211 16:03:56.898601 862956 nvc.c:273] failed to set inheritable capabilities W1211 16:03:56.898686 862956 nvc.c:274] skipping kernel modules load due to failure I1211 16:03:56.899197 862957 rpc.c:71] starting driver rpc service I1211 16:03:56.914387 862958 rpc.c:71] starting nvcgo rpc service I1211 16:03:56.916258 862955 nvc_info.c:766] requesting driver information with '' I1211 16:03:56.918835 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvoptix.so.525.60.13 I1211 16:03:56.918925 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-tls.so.525.60.13 I1211 16:03:56.918982 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-rtcore.so.525.60.13 I1211 16:03:56.919039 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.525.60.13 I1211 16:03:56.919135 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-opticalflow.so.525.60.13 I1211 16:03:56.919260 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.525.60.13 I1211 16:03:56.919321 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-ngx.so.525.60.13 I1211 16:03:56.919375 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.525.60.13 I1211 16:03:56.919451 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-glvkspirv.so.525.60.13 I1211 16:03:56.919502 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-glsi.so.525.60.13 I1211 16:03:56.919551 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-glcore.so.525.60.13 I1211 16:03:56.919603 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-fbc.so.525.60.13 I1211 16:03:56.919716 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-encode.so.525.60.13 I1211 16:03:56.919816 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-eglcore.so.525.60.13 I1211 16:03:56.919887 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-compiler.so.525.60.13 I1211 16:03:56.919959 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-cfg.so.525.60.13 I1211 16:03:56.920067 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvidia-allocator.so.525.60.13 I1211 16:03:56.920176 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libnvcuvid.so.525.60.13 I1211 16:03:56.920761 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libcudadebugger.so.525.60.13 I1211 16:03:56.920835 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libcuda.so.525.60.13 I1211 16:03:56.921120 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libGLX_nvidia.so.525.60.13 I1211 16:03:56.921206 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libGLESv2_nvidia.so.525.60.13 I1211 16:03:56.921283 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libGLESv1_CM_nvidia.so.525.60.13 I1211 16:03:56.921369 862955 nvc_info.c:173] selecting /usr/lib/x86_64-linux-gnu/libEGL_nvidia.so.525.60.13 I1211 16:03:56.921484 862955 nvc_info.c:173] selecting /usr/lib/i386-linux-gnu/libnvidia-ptxjitcompiler.so.525.60.13 I1211 16:03:56.921589 862955 nvc_info.c:173] selecting /usr/lib/i386-linux-gnu/libnvidia-opticalflow.so.525.60.13 I1211 16:03:56.921696 862955 nvc_info.c:173] selecting /usr/lib/i386-linux-gnu/libnvidia-opencl.so.525.60.13 I1211 16:03:56.921769 862955 nvc_info.c:173] selecting /usr/lib/i386-linux-gnu/libnvidia-ml.so.525.60.13 I1211 16:03:56.921873 862955 nvc_info.c:173] selecting /usr/lib/i386-linux-gnu/libnvidia-encode.so.525.60.13 I1211 16:03:56.921978 862955 nvc_info.c:173] selecting /usr/lib/i386-linux-gnu/libnvidia-compiler.so.525.60.13 I1211 16:03:56.922051 862955 nvc_info.c:173] selecting /usr/lib/i386-linux-gnu/libnvcuvid.so.525.60.13 I1211 16:03:56.922209 862955 nvc_info.c:173] selecting /usr/lib/i386-linux-gnu/libcuda.so.525.60.13 W1211 16:03:56.922309 862955 nvc_info.c:399] missing library libnvidia-nscq.so W1211 16:03:56.922323 862955 nvc_info.c:399] missing library libnvidia-fatbinaryloader.so W1211 16:03:56.922338 862955 nvc_info.c:399] missing library libnvidia-pkcs11.so W1211 16:03:56.922353 862955 nvc_info.c:399] missing library libvdpau_nvidia.so W1211 16:03:56.922368 862955 nvc_info.c:399] missing library libnvidia-ifr.so W1211 16:03:56.922382 862955 nvc_info.c:399] missing library libnvidia-cbl.so W1211 16:03:56.922397 862955 nvc_info.c:403] missing compat32 library libnvidia-cfg.so W1211 16:03:56.922412 862955 nvc_info.c:403] missing compat32 library libnvidia-nscq.so W1211 16:03:56.922427 862955 nvc_info.c:403] missing compat32 library libcudadebugger.so W1211 16:03:56.922441 862955 nvc_info.c:403] missing compat32 library libnvidia-fatbinaryloader.so W1211 16:03:56.922454 862955 nvc_info.c:403] missing compat32 library libnvidia-allocator.so W1211 16:03:56.922468 862955 nvc_info.c:403] missing compat32 library libnvidia-pkcs11.so W1211 16:03:56.922483 862955 nvc_info.c:403] missing compat32 library libnvidia-ngx.so W1211 16:03:56.922495 862955 nvc_info.c:403] missing compat32 library libvdpau_nvidia.so W1211 16:03:56.922507 862955 nvc_info.c:403] missing compat32 library libnvidia-eglcore.so W1211 16:03:56.922522 862955 nvc_info.c:403] missing compat32 library libnvidia-glcore.so W1211 16:03:56.922534 862955 nvc_info.c:403] missing compat32 library libnvidia-tls.so W1211 16:03:56.922547 862955 nvc_info.c:403] missing compat32 library libnvidia-glsi.so W1211 16:03:56.922562 862955 nvc_info.c:403] missing compat32 library libnvidia-fbc.so W1211 16:03:56.922576 862955 nvc_info.c:403] missing compat32 library libnvidia-ifr.so W1211 16:03:56.922590 862955 nvc_info.c:403] missing compat32 library libnvidia-rtcore.so W1211 16:03:56.922605 862955 nvc_info.c:403] missing compat32 library libnvoptix.so W1211 16:03:56.922620 862955 nvc_info.c:403] missing compat32 library libGLX_nvidia.so W1211 16:03:56.922635 862955 nvc_info.c:403] missing compat32 library libEGL_nvidia.so W1211 16:03:56.922649 862955 nvc_info.c:403] missing compat32 library libGLESv2_nvidia.so W1211 16:03:56.922663 862955 nvc_info.c:403] missing compat32 library libGLESv1_CM_nvidia.so W1211 16:03:56.922676 862955 nvc_info.c:403] missing compat32 library libnvidia-glvkspirv.so W1211 16:03:56.922691 862955 nvc_info.c:403] missing compat32 library libnvidia-cbl.so I1211 16:03:56.924411 862955 nvc_info.c:299] selecting /usr/bin/nvidia-smi I1211 16:03:56.924457 862955 nvc_info.c:299] selecting /usr/bin/nvidia-debugdump I1211 16:03:56.924495 862955 nvc_info.c:299] selecting /usr/bin/nvidia-persistenced I1211 16:03:56.924559 862955 nvc_info.c:299] selecting /usr/bin/nvidia-cuda-mps-control I1211 16:03:56.924600 862955 nvc_info.c:299] selecting /usr/bin/nvidia-cuda-mps-server W1211 16:03:56.924729 862955 nvc_info.c:425] missing binary nv-fabricmanager W1211 16:03:56.924793 862955 nvc_info.c:349] missing firmware path /lib/firmware/nvidia/525.60.13/gsp.bin I1211 16:03:56.924846 862955 nvc_info.c:529] listing device /dev/nvidiactl I1211 16:03:56.924862 862955 nvc_info.c:529] listing device /dev/nvidia-uvm I1211 16:03:56.924877 862955 nvc_info.c:529] listing device /dev/nvidia-uvm-tools I1211 16:03:56.924889 862955 nvc_info.c:529] listing device /dev/nvidia-modeset I1211 16:03:56.924944 862955 nvc_info.c:343] listing ipc path /run/nvidia-persistenced/socket W1211 16:03:56.924993 862955 nvc_info.c:349] missing ipc path /var/run/nvidia-fabricmanager/socket W1211 16:03:56.925026 862955 nvc_info.c:349] missing ipc path /tmp/nvidia-mps I1211 16:03:56.925042 862955 nvc_info.c:822] requesting device information with '' I1211 16:03:56.931600 862955 nvc_info.c:713] listing device /dev/nvidia0 (GPU-15132fc8-6058-2032-32e5-8d742940df99 at 00000000:03:00.0) NVRM version: 525.60.13 CUDA version: 12.0
Device Index: 0 Device Minor: 0 Model: NVIDIA GeForce RTX 3090 Brand: GeForce GPU UUID: GPU-15132fc8-6058-2032-32e5-8d742940df99 Bus Location: 00000000:03:00.0 Architecture: 8.6 I1211 16:03:56.931670 862955 nvc.c:434] shutting down library context I1211 16:03:56.931753 862958 rpc.c:95] terminating nvcgo rpc service I1211 16:03:56.932462 862955 rpc.c:135] nvcgo rpc service terminated successfully I1211 16:03:56.935845 862957 rpc.c:95] terminating driver rpc service I1211 16:03:56.936030 862955 rpc.c:135] driver rpc service terminated successfully
[ ] Kernel version from
uname -a
Linux visionlab 5.4.0-135-generic NVIDIA/nvidia-docker#152-Ubuntu SMP Wed Nov 23 20:19:22 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux[ ] Any relevant kernel output lines from
dmesg
[ ] Driver information from
nvidia-smi -a
==============NVSMI LOG==============Timestamp : Sun Dec 11 21:35:37 2022 Driver Version : 525.60.13 CUDA Version : 12.0
Attached GPUs : 1 GPU 00000000:03:00.0 Product Name : NVIDIA GeForce RTX 3090 Product Brand : GeForce Product Architecture : Ampere Display Mode : Enabled Display Active : Disabled Persistence Mode : Enabled MIG Mode Current : N/A Pending : N/A Accounting Mode : Disabled Accounting Mode Buffer Size : 4000 Driver Model Current : N/A Pending : N/A Serial Number : N/A GPU UUID : GPU-15132fc8-6058-2032-32e5-8d742940df99 Minor Number : 0 VBIOS Version : 94.02.42.40.72 MultiGPU Board : No Board ID : 0x300 Board Part Number : N/A GPU Part Number : 2204-300-A1 Module ID : 0 Inforom Version Image Version : G001.0000.03.03 OEM Object : 2.0 ECC Object : N/A Power Management Object : N/A GPU Operation Mode Current : N/A Pending : N/A GSP Firmware Version : N/A GPU Virtualization Mode Virtualization Mode : None Host VGPU Mode : N/A IBMNPU Relaxed Ordering Mode : N/A PCI Bus : 0x03 Device : 0x00 Domain : 0x0000 Device Id : 0x220410DE Bus Id : 00000000:03:00.0 Sub System Id : 0x145410DE GPU Link Info PCIe Generation Max : 3 Current : 1 Device Current : 1 Device Max : 4 Host Max : 3 Link Width Max : 16x Current : 16x Bridge Chip Type : N/A Firmware : N/A Replays Since Reset : 0 Replay Number Rollovers : 0 Tx Throughput : 0 KB/s Rx Throughput : 0 KB/s Atomic Caps Inbound : N/A Atomic Caps Outbound : N/A Fan Speed : 0 % Performance State : P8 Clocks Throttle Reasons Idle : Active Applications Clocks Setting : Not Active SW Power Cap : Not Active HW Slowdown : Not Active HW Thermal Slowdown : Not Active HW Power Brake Slowdown : Not Active Sync Boost : Not Active SW Thermal Slowdown : Not Active Display Clock Setting : Not Active FB Memory Usage Total : 24576 MiB Reserved : 317 MiB Used : 553 MiB Free : 23705 MiB BAR1 Memory Usage Total : 256 MiB Used : 7 MiB Free : 249 MiB Compute Mode : Default Utilization Gpu : 0 % Memory : 0 % Encoder : 0 % Decoder : 0 % Encoder Stats Active Sessions : 0 Average FPS : 0 Average Latency : 0 FBC Stats Active Sessions : 0 Average FPS : 0 Average Latency : 0 Ecc Mode Current : N/A Pending : N/A ECC Errors Volatile SRAM Correctable : N/A SRAM Uncorrectable : N/A DRAM Correctable : N/A DRAM Uncorrectable : N/A Aggregate SRAM Correctable : N/A SRAM Uncorrectable : N/A DRAM Correctable : N/A DRAM Uncorrectable : N/A Retired Pages Single Bit ECC : N/A Double Bit ECC : N/A Pending Page Blacklist : N/A Remapped Rows : N/A Temperature GPU Current Temp : 51 C GPU Shutdown Temp : 98 C GPU Slowdown Temp : 95 C GPU Max Operating Temp : 93 C GPU Target Temperature : 83 C Memory Current Temp : N/A Memory Max Operating Temp : N/A Power Readings Power Management : Supported Power Draw : 23.19 W Power Limit : 370.00 W Default Power Limit : 370.00 W Enforced Power Limit : 370.00 W Min Power Limit : 100.00 W Max Power Limit : 370.00 W Clocks Graphics : 0 MHz SM : 0 MHz Memory : 405 MHz Video : 555 MHz Applications Clocks Graphics : N/A Memory : N/A Default Applications Clocks Graphics : N/A Memory : N/A Deferred Clocks Memory : N/A Max Clocks Graphics : 2115 MHz SM : 2115 MHz Memory : 9751 MHz Video : 1950 MHz Max Customer Boost Clocks Graphics : N/A Clock Policy Auto Boost : N/A Auto Boost Default : N/A Voltage Graphics : 0.000 mV Fabric State : N/A Status : N/A Processes GPU instance ID : N/A Compute instance ID : N/A Process ID : 2052 Type : G Name : /usr/lib/xorg/Xorg Used GPU Memory : 55 MiB GPU instance ID : N/A Compute instance ID : N/A Process ID : 2252 Type : G Name : /usr/bin/gnome-shell Used GPU Memory : 12 MiB GPU instance ID : N/A Compute instance ID : N/A Process ID : 79713 Type : G Name : /usr/lib/xorg/Xorg Used GPU Memory : 53 MiB GPU instance ID : N/A Compute instance ID : N/A Process ID : 105354 Type : G Name : /usr/lib/firefox/firefox Used GPU Memory : 296 MiB GPU instance ID : N/A Compute instance ID : N/A Process ID : 150301 Type : G Name : /usr/share/code/code --type=gpu-process --disable-color-correct-rendering --enable-crashpad --crashpad-handler-pid=150289 --enable-crash-reporter=220d09c7-ace4-4d8a-a019-f5551f55bb4e,no_channel --user-data-dir=/home/vishesh/.config/Code --gpu-preferences=UAAAAAAAAAAgAAAIAAAAAAAAAAAAAAAAAABgAAAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAABgAAAAAAAAAGAAAAAAAAAAIAAAAAAAAAAgAAAAAAAAACAAAAAAAAAA= --shared-files --field-trial-handle=0,5632948566441798013,1364472480275554198,131072 --disable-features=PlzServiceWorker,SpareRendererForSitePerProcess Used GPU Memory : 27 MiB
docker version
Client: Docker Engine - Community Version: 20.10.21 API version: 1.41 Go version: go1.18.7 Git commit: baeda1f Built: Tue Oct 25 18:02:21 2022 OS/Arch: linux/amd64 Context: default Experimental: trueServer: Docker Engine - Community Engine: Version: 20.10.21 API version: 1.41 (minimum version 1.12) Go version: go1.18.7 Git commit: 3056208 Built: Tue Oct 25 18:00:04 2022 OS/Arch: linux/amd64 Experimental: false containerd: Version: 1.6.12 GitCommit: a05d175400b1145e5e6a735a6710579d181e7fb0 runc: Version: 1.1.4 GitCommit: v1.1.4-0-g5fd4c4d docker-init: Version: 0.19.0 GitCommit: de40ad0
[ ] NVIDIA packages version from
dpkg -l '*nvidia*'
orrpm -qa '*nvidia*'
[ ] NVIDIA container library version from
nvidia-container-cli -V
cli-version: 1.11.0 lib-version: 1.11.0 build date: 2022-09-06T09:21+00:00 build revision: c8f267be0bac1c654d59ad4ea5df907141149977 build compiler: x86_64-linux-gnu-gcc-7 7.5.0 build platform: x86_64 build flags: -D_GNU_SOURCE -D_FORTIFY_SOURCE=2 -DNDEBUG -std=gnu11 -O2 -g -fdata-sections -ffunction-sections -fplan9-extensions -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 given at the top 1) sudo docker run --gpus 0 -it --rm nvcr.io/nvidia/pytorch:19.06-py3