`torch_mist.estimators.discriminative.implementations.flo`

Module Contents

Classes

class torch_mist.estimators.discriminative.implementations.flo.FLO(critic: torch_mist.critic.Critic, normalized_critic: torch_mist.critic.Critic, neg_samples: int = 1)

Bases: torch_mist.estimators.discriminative.base.DiscriminativeMIEstimator

unnormalized_log_ratio(x: torch.Tensor, y: torch.Tensor) → torch.Tensor

log_ratio(x: torch.Tensor, y: torch.Tensor) → torch.Tensor

batch_loss(x: torch.Tensor, y: torch.Tensor) → torch.Tensor

_approx_log_partition(x: torch.Tensor, y: torch.Tensor, f_: torch.Tensor, log_w: torch.Tensor | None) → torch.Tensor

__repr__()