must match the rightmost batch dimension of the
        component_distribution. Must have either scalar
        batch_shape or batch_shape matching
        component_distribution.batch_shape[:-1]
  * **component_distribution** --
    *torch.distributions.Distribution*-like instance. Right-most
    batch dimension indexes component.

arg_constraints: Dict[str, Constraint] = {}
cdf(x)
property component_distribution
expand(batch_shape, _instance=None)
has_rsample = False
log_prob(x)
property mean
property mixture_distribution
sample(sample_shape=torch.Size([]))
property support
property variance
Multinomial
class torch.distributions.multinomial.Multinomial(total_count=1, probs=None, logits=None, validate_args=None)
Bases: "Distribution"
Creates a Multinomial distribution parameterized by "total_count"
   and either "probs" or "logits" (but not both). The innermost