Caffe2 - Python API
A deep learning, cross platform ML framework
torch.distributions.relaxed_bernoulli.RelaxedBernoulli Member List

This is the complete list of members for torch.distributions.relaxed_bernoulli.RelaxedBernoulli, including all inherited members.

__init__(self, temperature, probs=None, logits=None, validate_args=None) (defined in torch.distributions.relaxed_bernoulli.RelaxedBernoulli)torch.distributions.relaxed_bernoulli.RelaxedBernoulli
__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.relaxed_bernoulli.RelaxedBernoulli)torch.distributions.relaxed_bernoulli.RelaxedBernoullistatic
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)torch.distributions.transformed_distribution.TransformedDistribution
entropy(self)torch.distributions.distribution.Distribution
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.relaxed_bernoulli.RelaxedBernoulli)torch.distributions.relaxed_bernoulli.RelaxedBernoulli
has_enumerate_support (defined in torch.distributions.distribution.Distribution)torch.distributions.distribution.Distributionstatic
has_rsample (defined in torch.distributions.relaxed_bernoulli.RelaxedBernoulli)torch.distributions.relaxed_bernoulli.RelaxedBernoullistatic
has_rsample(self) (defined in torch.distributions.transformed_distribution.TransformedDistribution)torch.distributions.transformed_distribution.TransformedDistribution
icdf(self, value)torch.distributions.transformed_distribution.TransformedDistribution
log_prob(self, value)torch.distributions.transformed_distribution.TransformedDistribution
logits(self) (defined in torch.distributions.relaxed_bernoulli.RelaxedBernoulli)torch.distributions.relaxed_bernoulli.RelaxedBernoulli
mean(self)torch.distributions.distribution.Distribution
perplexity(self)torch.distributions.distribution.Distribution
probs(self) (defined in torch.distributions.relaxed_bernoulli.RelaxedBernoulli)torch.distributions.relaxed_bernoulli.RelaxedBernoulli
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
set_default_validate_args(value) (defined in torch.distributions.distribution.Distribution)torch.distributions.distribution.Distributionstatic
stddev(self)torch.distributions.distribution.Distribution
support (defined in torch.distributions.relaxed_bernoulli.RelaxedBernoulli)torch.distributions.relaxed_bernoulli.RelaxedBernoullistatic
support(self) (defined in torch.distributions.transformed_distribution.TransformedDistribution)torch.distributions.transformed_distribution.TransformedDistribution
temperature(self) (defined in torch.distributions.relaxed_bernoulli.RelaxedBernoulli)torch.distributions.relaxed_bernoulli.RelaxedBernoulli
transforms (defined in torch.distributions.transformed_distribution.TransformedDistribution)torch.distributions.transformed_distribution.TransformedDistribution
variance(self)torch.distributions.distribution.Distribution