modelzoo.vision.pytorch.dit.samplers.sampler_utils.set_sampling_timesteps#

modelzoo.vision.pytorch.dit.samplers.sampler_utils.set_sampling_timesteps(num_diffusion_steps, num_inference_steps, custom_timesteps)[source]#

Computes timesteps to be used during sampling

Parameters

  • num_diffusion_steps (int) – Total number of steps the model was trained on

  • num_inference_steps (str) – string containing comma-separated numbers, indicating the step count per section. For example, if there’s 300 num_diffusion_steps and num_inference_steps=`10,15,20` then the first 100 timesteps are strided to be 10 timesteps, the second 100 are strided to be 15 timesteps, and the final 100 are strided to be 20. Can either pass custom_timesteps (or) num_inference_steps, but not both.

  • custom_timesteps (List[int]) – User specified list of timesteps to be used during sampling.

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