DDIM
  steps.


Enable cuDNN auto-tuner
	
NVIDIA cuDNN supports many algorithms to compute a convolution. Autotuner runs a short benchmark and selects the kernel with the best performance on a given hardware for a given input size.
Since we’re using convolutional networks (other types currently not supported), we can enable cuDNN autotuner before launching the inference by setting:


	Copied
import torch

torch.backends.cudnn.benchmark = True

