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1050ti; cuda11.4 pytorch: 1.12.1 tensorrt:TensorRT-8.5.3.1 model: yolo11s-pose.pt
pytorch安装方式:conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
使用tensorrt加速耗时在29ms,并且还是用fp16格式导出的engine,使用官方pt耗时在24ms。
为什么在相同的机器上,使用trt加速反而变慢了。
望回复
The text was updated successfully, but these errors were encountered:
如何计算的时间呢?以及是否使用了end2end
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1050ti;
cuda11.4
pytorch: 1.12.1
tensorrt:TensorRT-8.5.3.1
model: yolo11s-pose.pt
pytorch安装方式:conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
使用tensorrt加速耗时在29ms,并且还是用fp16格式导出的engine,使用官方pt耗时在24ms。
为什么在相同的机器上,使用trt加速反而变慢了。
望回复
The text was updated successfully, but these errors were encountered: