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### Is there an existing issue for this?
- [X] I searched the existing issues and did not find anything similar.
### Current Behavior
When monitoring system resources during training sessions with …
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I'm training a nmt model using 50k vocab and millions of training data. I just noticed that during the training process, nmt leverages all available CPUs while GPU utilization is low and always change…
amirj updated
6 years ago
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How many Gpus did you use?
Thank you.
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i'm enabling gpu-acceleration during installation as suggested in readme:
`CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1
pip install 'llama-cpp-python[server]'`
Then activating the local server by:…
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Add a toolbar that shows only the GPU Utilization.
Counter:
`\GPU Engine(*)\Utilization Percentage`
Thanks for your hard work! 😃
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We have a problem with low GPU utilization. We once achieved high GPU utilization by running 50 pipelines on 4 T4s, and the inference time was fast. However, after that environment was reset, the envi…
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Need to display current statistic data of GPU utilization which includes current rank window and size of the knowledge graph.
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xgboost:
1M:
```
[0] Tesla V100-SXM2-16GB | 29'C, 0 % | 0 / 16160 MB |
[0] Tesla V100-SXM2-16GB | 29'C, 62 % | 2278 / 16160 MB | root(2268M)
[0] Tesla V100-SXM2-16GB | 30'C, 80 % | …
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### Your current environment
Deploy using llama factory
CUDA_VISIBLE_DEVICES=0 API_PORT=9092 python src/api_demo.py
--model_name_or_path /save_model/qwen1_5_7b_pcb_merge
--template qwen
--infer_b…
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Qutotes from
``LEVELZERO::GPU_UTILIZATION``
Utilization of all GPU engines. Level Zero logical engines may map to the same hardware, resulting in a reduced signal range (i.e. less than 0 to …