aper.  add_noise_to_input  < source > ( sample: FloatTensor sigma: float generator: Optional = None  )   Parameters   sample (torch.FloatTensor) —
The input sample.   sigma (float) —   generator (torch.Generator, optional) —
A random number generator.    Explicit Langevin-like “churn” step of adding noise to the sample according to a gamma_i ≥ 0 to reach a
higher noise level sigma_hat = sigma_i + gamma_i*sigma_i.  scale_model_input  < source > 