reparameterize¶
-
behavenet.models.vaes.reparameterize(mu, logvar)[source]¶ Sample from N(mu, var)
- Parameters
mu (
torch.Tensor) – vector of mean parameterslogvar (
torch.Tensor) – vector of log variances; only mean field approximation is currently implemented
- Returns
sampled vector of shape (n_frames, n_latents)
- Return type
torch.Tensor