| __call__(self, x) | torch.distributions.transforms.Transform | |
| __eq__(self, other) (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | |
| __init__(self, loc, scale, event_dim=0, cache_size=0) (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | |
| __init__(self, cache_size=0) (defined in torch.distributions.transforms.Transform) | torch.distributions.transforms.Transform | |
| __ne__(self, other) (defined in torch.distributions.transforms.Transform) | torch.distributions.transforms.Transform | |
| __repr__(self) (defined in torch.distributions.transforms.Transform) | torch.distributions.transforms.Transform | |
| bijective (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | static |
| codomain (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | static |
| domain (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | static |
| event_dim (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | |
| inv(self) | torch.distributions.transforms.Transform | |
| loc (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | |
| log_abs_det_jacobian(self, x, y) (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | |
| scale (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | |
| sign(self) (defined in torch.distributions.transforms.AffineTransform) | torch.distributions.transforms.AffineTransform | |