__init__(self, scale, validate_args=None) (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | |
__init__(self, base_distribution, transforms, validate_args=None) (defined in torch.distributions.transformed_distribution.TransformedDistribution) | torch.distributions.transformed_distribution.TransformedDistribution | |
__repr__(self) (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | |
arg_constraints (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | static |
torch::distributions::distribution::Distribution.arg_constraints(self) | torch.distributions.distribution.Distribution | |
base_dist (defined in torch.distributions.transformed_distribution.TransformedDistribution) | torch.distributions.transformed_distribution.TransformedDistribution | |
batch_shape(self) | torch.distributions.distribution.Distribution | |
cdf(self, value) (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | |
entropy(self) (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | |
enumerate_support(self, expand=True) | torch.distributions.distribution.Distribution | |
event_shape(self) | torch.distributions.distribution.Distribution | |
expand(self, batch_shape, _instance=None) (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | |
has_enumerate_support (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | static |
has_rsample (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | static |
has_rsample(self) (defined in torch.distributions.transformed_distribution.TransformedDistribution) | torch.distributions.transformed_distribution.TransformedDistribution | |
icdf(self, prob) (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | |
log_prob(self, value) (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | |
mean(self) (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | |
perplexity(self) | torch.distributions.distribution.Distribution | |
rsample(self, sample_shape=torch.Size()) | torch.distributions.transformed_distribution.TransformedDistribution | |
sample(self, sample_shape=torch.Size()) | torch.distributions.transformed_distribution.TransformedDistribution | |
sample_n(self, n) | torch.distributions.distribution.Distribution | |
scale(self) (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | |
set_default_validate_args(value) (defined in torch.distributions.distribution.Distribution) | torch.distributions.distribution.Distribution | static |
stddev(self) | torch.distributions.distribution.Distribution | |
support (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | static |
support(self) (defined in torch.distributions.transformed_distribution.TransformedDistribution) | torch.distributions.transformed_distribution.TransformedDistribution | |
transforms (defined in torch.distributions.transformed_distribution.TransformedDistribution) | torch.distributions.transformed_distribution.TransformedDistribution | |
variance(self) (defined in torch.distributions.half_normal.HalfNormal) | torch.distributions.half_normal.HalfNormal | |