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### Issue Description
When using NVIDIA GPUs with Podman via the Container Device Interface `podman build` fails to use labeled devices while `podman run` works as intended.
However, if using the …
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I have compiled the Vina-GPU-2.1 in a Ubuntu 22 system (GPU) following the instructions with cuda 12.4 and boost 1.78 version, but face this error when trying to test the example.
![Error-Vina-GPU-2…
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### Branch/Tag/Commit
main
### Docker Image Version
nvcr.io/nvidia/pytorch:23.04-py3
### GPU name
3090
### CUDA Driver
530.30.02
### Reproduced Steps
```shell
# Pull docker image
sudo nvidia…
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{
"platform": "amd64",
"hub-mirror": [
"nvcr.io/nvidia/tritonserver:21.09-py3"
]
}
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With CUDA-11.8 on Ubuntu 22.04 and RTX 3080 device, I tried to run `make prebuild` inference_v4 in NVIDIA folder. After about two hours of compilation, it ended with an error which I don't understand …
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**info**
docker run --gpus all --rm debian:10-slim nvidia-smi
Unable to find image 'debian:10-slim' locally
10-slim: Pulling from library/debian
f7ec5a41d630: Pull complete
Digest: sha256:b586cf…
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**Describe the bug**
Runing the Pretraining *BERT* encountered two issues:
1. the "TransformerEngine only supports softmax compute in FP32". Need to add `--attention-softmax-in-fp32` to the model ar…
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Hello, great work and appreciate for your code!
However, I couldn't reproduce some validation results of your paper even though using "./NPR.pth".
The results are as follows:
(acc: my_result…
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# Docker Error
I am unable to troubleshoot this issue can you let me know what information could be helpful to help me ???
## docker: Error response from daemon: Unknown runtime specified nvidi…
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**Describe the bug**
Core occupies memory until eventually taking all memory available.
**To Reproduce**
Steps to reproduce the behavior:
1. Run CompreFace (ArcFace GPU) in WSL2.
2. Consume…