I have try two different GPU, low GPU (6GB) and medium GPU (16GB) but always stuck on 2 iterations. I check GPU monitoring resource low and medium GPU have same perform, yeah its stuck on 2GB GPU used. When on last update before this stuck i always got 4-6 iteration on that GPU. This is my version.
python 3.8
Cuda 11
onnx last update
onnxruntime-gpu last update
insightface==0.2.1
Are someone trying to solve this issue ?
Downgrade python and cuda is not solve the issue ?
Or maybe this repo need update on supp onnx or cuda ?
I have try two different GPU, low GPU (6GB) and medium GPU (16GB) but always stuck on 2 iterations. I check GPU monitoring resource low and medium GPU have same perform, yeah its stuck on 2GB GPU used. When on last update before this stuck i always got 4-6 iteration on that GPU. This is my version.
python 3.8
Cuda 11
onnx last update
onnxruntime-gpu last update
insightface==0.2.1
- Are someone trying to solve this issue ?
- Downgrade python and cuda is not solve the issue ?
- Or maybe this repo need update on supp onnx or cuda ?
I noticed the same thing. I'm using TensorRT and CUDA with ONNX.
My GPU Load hits 17% and VRAM uses 4GB.
Sometimes my it/s will go from 4 to 16 IDK what makes it spike.
I noticed the same thing. I'm using TensorRT and CUDA with ONNX.
My GPU Load hits 17% and VRAM uses 4GB.
Sometimes my it/s will go from 4 to 16 IDK what makes it spike.
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I have try two different GPU, low GPU (6GB) and medium GPU (16GB) but always stuck on 2 iterations. I check GPU monitoring resource low and medium GPU have same perform, yeah its stuck on 2GB GPU used. When on last update before this stuck i always got 4-6 iteration on that GPU. This is my version.
python 3.8
Cuda 11
onnx last update
onnxruntime-gpu last update
insightface==0.2.1
I noticed the same thing. I'm using TensorRT and CUDA with ONNX.
My GPU Load hits 17% and VRAM uses 4GB.
Sometimes my it/s will go from 4 to 16 IDK what makes it spike.
did you ever manage to find a solution?