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

This is the complete list of members for torch.distributions.multinomial.Multinomial, including all inherited members.

__init__(self, total_count=1, probs=None, logits=None, validate_args=None) (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
__init__(self, batch_shape=torch.Size(), event_shape=torch.Size(), validate_args=None) (defined in torch.distributions.distribution.Distribution)torch.distributions.distribution.Distribution
__repr__(self) (defined in torch.distributions.distribution.Distribution)torch.distributions.distribution.Distribution
arg_constraints (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomialstatic
torch::distributions::distribution::Distribution.arg_constraints(self)torch.distributions.distribution.Distribution
batch_shape(self)torch.distributions.distribution.Distribution
cdf(self, value)torch.distributions.distribution.Distribution
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.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
has_enumerate_support (defined in torch.distributions.distribution.Distribution)torch.distributions.distribution.Distributionstatic
has_rsample (defined in torch.distributions.distribution.Distribution)torch.distributions.distribution.Distributionstatic
icdf(self, value)torch.distributions.distribution.Distribution
log_prob(self, value) (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
logits(self) (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
mean(self) (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
param_shape(self) (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
perplexity(self)torch.distributions.distribution.Distribution
probs(self) (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
rsample(self, sample_shape=torch.Size())torch.distributions.distribution.Distribution
sample(self, sample_shape=torch.Size()) (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
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(self) (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
support (defined in torch.distributions.distribution.Distribution)torch.distributions.distribution.Distributionstatic
total_count (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial
variance(self) (defined in torch.distributions.multinomial.Multinomial)torch.distributions.multinomial.Multinomial