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Merlin 21.12 NGC release broke extended forward compatibility on older NVIDIA drivers #88

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mengdong opened this issue Jan 10, 2022 · 4 comments · Fixed by #89
Closed

Merlin 21.12 NGC release broke extended forward compatibility on older NVIDIA drivers #88

mengdong opened this issue Jan 10, 2022 · 4 comments · Fixed by #89

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@mengdong
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If user invoke a command without calling bash in Docker, the forward compatibility is broken. If user invoke a command with bash, the forward compatibility works as expected.

observed with T4/A100 on driver 450.119.04

docker run --gpus '"device=2,3,4,5"' -it --rm --network host \
>     --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 \
>     -v ~/workspace_dong:/scripts nvcr.io/nvidia/merlin/merlin-training:21.12 nvidia-smi
Tue Jan  4 17:55:26 2022       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.119.04   Driver Version: 450.119.04   CUDA Version: 11.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            Off  | 00000000:08:00.0 Off |                    0 |
| N/A   28C    P8    10W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   1  Tesla T4            Off  | 00000000:09:00.0 Off |                    0 |
| N/A   29C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   2  Tesla T4            Off  | 00000000:84:00.0 Off |                    0 |
| N/A   27C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   3  Tesla T4            Off  | 00000000:85:00.0 Off |                    0 |
| N/A   28C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

lab@login01:~/workspace_dong/merlin$ docker run --gpus '"device=2,3,4,5"' -it --rm --network host \                                                                                                         >     --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 \
>     -v ~/workspace_dong:/scripts nvcr.io/nvidia/merlin/merlin-training:21.12
root@login01:/workspace# nvidia-smi
Tue Jan  4 17:57:16 2022       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.119.04   Driver Version: 450.119.04   CUDA Version: 11.5     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            Off  | 00000000:08:00.0 Off |                    0 |
| N/A   28C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   1  Tesla T4            Off  | 00000000:09:00.0 Off |                    0 |
| N/A   29C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   2  Tesla T4            Off  | 00000000:84:00.0 Off |                    0 |
| N/A   27C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   3  Tesla T4            Off  | 00000000:85:00.0 Off |                    0 |
| N/A   28C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
@benfred benfred mentioned this issue Jan 18, 2022
Merged
@albert17
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@mengdong Try now

docker run --gpus '"device=0,1,2,3"' -it --rm nvcr.io/nvidia/merlin/merlin-pytorch-training:nightly nvidia-smi

@albert17 albert17 linked a pull request Jan 19, 2022 that will close this issue
Cuda compat removes shell #89
Merged
@cliffwoolley
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@mengdong - it's actually the ENTRYPOINT change rather than the SHELL change that has an impact here. As a workaround for 21.12, you can just add this to your docker run arguments: --entrypoint /opt/nvidia/nvidia_entrypoint.sh

@albert17
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@cliffwoolley Correct, It was the ENTRYPOINT what changed. Initially I tried SHELL, but it didn't have any effect, I didn't added it back since it didn't seem like adding any value. Any comments about SHELL?

@cliffwoolley
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@albert17 You do not need to set SHELL, no. We already set it for you in the base image.

@rnyak rnyak mentioned this issue May 30, 2022
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Cuda compat removes shell NVIDIA-Merlin/Merlin
3 participants
@mengdong @cliffwoolley @albert17