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ROCm Optimizations (#23118)

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* Update to ROCm 7.2.3

* Add inference time for 9060XT

* Update times

* Update hardware info for latest ROCm

* Add env vars to save kernels and miopen database

* re-enable face recognition for ROCm

* Update

* Save LLVM cache
This commit is contained in:
Nicolas Mowen
2026-05-05 16:33:43 -05:00
committed by GitHub
parent 52a3301726
commit 76a1230885
6 changed files with 18 additions and 14 deletions
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docs/docs/configuration/object_detectors.md
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@@ -1022,12 +1022,12 @@ detectors:
### ONNX Supported Models
| Model | Nvidia GPU | AMD GPU | Notes |
| ----------------------------- | ---------- | ------- | --------------------------------------------------- |
| [YOLOv9](#yolo-v3-v4-v7-v9-2) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance |
| [RF-DETR](#rf-detr) | ✅ | ❌ | Supports CUDA Graphs for optimal Nvidia performance |
| [YOLO-NAS](#yolo-nas-1) | ⚠️ | ⚠️ | Not supported by CUDA Graphs |
| [YOLOX](#yolox-1) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance |
| Model | Nvidia GPU | AMD GPU | Notes |
| ------------------------------------ | ---------- | ------- | --------------------------------------------------- |
| [YOLOv9](#yolo-v3-v4-v7-v9-2) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance |
| [RF-DETR](#rf-detr) | ✅ | ⚠️ | Supports CUDA Graphs for optimal Nvidia performance |
| [YOLO-NAS](#yolo-nas-1) | ⚠️ | ⚠️ | Not supported by CUDA Graphs |
| [YOLOX](#yolox-1) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance |
| [D-FINE / DEIMv2](#d-fine--deimv2-1) | ⚠️ | ❌ | Not supported by CUDA Graphs |
There is no default model provided, the following formats are supported: