[HW Accel Support]: AMD rx 7900 xtx GPU:100% #19619
Replies: 3 comments 12 replies
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Your AMD RX 7900 XTX GPU is running at 100% utilization because you have multiple GPU-accelerated features enabled simultaneously. Your configuration shows several GPU-intensive components running on ROCm:
The RF-DETR model you're using is particularly resource-intensive. The documentation warns that "Due to the size and complexity of the RF-DETR model, it is only recommended to be run with discrete Arc Graphics Cards"(1), though it should work on your RX 7900 XTX. Your ROCm setup appears correct - the To reduce GPU usage, try these approaches:
semantic_search:
enabled: true
model_size: small
face_recognition:
model_size: smallThe combination of these three GPU-accelerated AI models running simultaneously is likely causing the sustained 100% GPU utilization you're experiencing. 📚 Sources: Have another question? Just tag @inkeep. |
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I don't think the AMD GPU supports rfdetr |
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The issue is likely with your RF-DETR model configuration. Based on the available documentation, there are several potential causes for continued 100% GPU usage:
ffmpeg:
# Remove or comment out the hwaccel_args line
# hwaccel_args: preset-vaapi
detectors:
onnx:
type: onnxTry switching to CPU detection temporarily to isolate the issue: detectors:
cpu:
type: cpu
model:
model_type: rfdetr
width: 320
height: 320
input_tensor: nchw
input_dtype: float
path: /config/rfdetr-Medium.onnxThe documentation shows the default model configuration uses different settings (2). Try using the default EdgeTPU model temporarily to see if the GPU usage drops. To troubleshoot systematically, disable hardware acceleration components one by one:
This will help identify which component is causing the sustained GPU load. 📚 Sources: Have another question? Just tag @inkeep. |
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Describe the problem you are having
The GPU is always on 100% with 150W power consumption, a lot of hot air comming from, as long as I start frigate. I have also whisper and ollama loaded on GPU but the activity on GPU is 0% if they don't be used.
Tried removing:
detect, face_recognition, semantic_search.
Rocm and amd_gpu also reinstalled.
Ollama, whisper which are also using rocm are working fine.
Version
v16.0
Frigate config file
docker-compose file or Docker CLI command
Relevant Frigate log output
Relevant go2rtc log output
FFprobe output from your camera
bash: ffprobe: command not foundInstall method
Docker Compose
Object Detector
Other
Network connection
Wireless
Camera make and model
TAPO c210
Screenshots of the Frigate UI's System metrics pages
Any other information that may be helpful
No response
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