Comments (1)
Make sure you turn on cudnn acceleration.
Pull the latest version of nanodet or change
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
in demo.py to
torch.backends.cudnn.enabled = True
torch.backends.cudnn.benchmark = True
By the way, pytorch is a training framework, not designed for inference. If you want to get better inference speed on GPU, try to use C++ demo. C++ demo using ncnn vulkan as backend.
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