__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 | |