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

This is the complete list of members for torch.distributions.categorical.Categorical, including all inherited members.

__init__(self, probs=None, logits=None, validate_args=None) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
__repr__(self) (defined in torch.distributions.distribution.Distribution)torch.distributions.distribution.Distribution
arg_constraints (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categoricalstatic
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) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
enumerate_support(self, expand=True) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
event_shape(self)torch.distributions.distribution.Distribution
expand(self, batch_shape, _instance=None) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
has_enumerate_support (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categoricalstatic
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.categorical.Categorical)torch.distributions.categorical.Categorical
logits (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
logits(self) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
mean(self) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
param_shape(self) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
perplexity(self)torch.distributions.distribution.Distribution
probs (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
probs(self) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
rsample(self, sample_shape=torch.Size())torch.distributions.distribution.Distribution
sample(self, sample_shape=torch.Size()) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical
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.categorical.Categorical)torch.distributions.categorical.Categorical
support (defined in torch.distributions.distribution.Distribution)torch.distributions.distribution.Distributionstatic
variance(self) (defined in torch.distributions.categorical.Categorical)torch.distributions.categorical.Categorical