 for a specific model are described in Table 5 of the paper.

add_noise_to_input

<
source
>
(
sample: FloatTensor
sigma: float
generator: typing.Optional[torch._C.Generator] = None

)



Explicit Langevin-like “churn” step of adding noise to the sample according to a factor gamma_i ≥ 0 to reach a
higher noise level sigma_hat = sigma_i + gamma_i*sigma_i.
TODO Args:

scale_model_input

<
source
>
(
sample: FloatTensor
timestep: typing.Optional[i