tensorflow::ops::Multinomial

#include <random_ops.h>

Draws samples from a multinomial distribution.

Summary

Args:

scope: A Scope object
logits: 2-D Tensor with shape [batch_size, num_classes]. Each slice [i, :] represents the unnormalized log probabilities for all classes.
num_samples: 0-D. Number of independent samples to draw for each row slice.

Optional attributes (see Attrs):

seed: If either seed or seed2 is set to be non-zero, the internal random number generator is seeded by the given seed. Otherwise, a random seed is used.
seed2: A second seed to avoid seed collision.

Returns:

Output: 2-D Tensor with shape [batch_size, num_samples]. Each slice [i, :] contains the drawn class labels with range [0, num_classes).

Constructors and Destructors
`Multinomial(const ::tensorflow::Scope & scope, ::tensorflow::Input logits, ::tensorflow::Input num_samples)`
`Multinomial(const ::tensorflow::Scope & scope, ::tensorflow::Input logits, ::tensorflow::Input num_samples, const Multinomial::Attrs & attrs)`

Public attributes
`operation`	`Operation`
`output`	`::tensorflow::Output`

Public functions
`node() const`	`::tensorflow::Node *`
`operator::tensorflow::Input() const`
`operator::tensorflow::Output() const`

Structs
tensorflow::ops::Multinomial::Attrs	Optional attribute setters for Multinomial.

Operation operation

::tensorflow::Output output

 Multinomial(  const ::tensorflow::Scope & scope,  ::tensorflow::Input logits,  ::tensorflow::Input num_samples )

 Multinomial(  const ::tensorflow::Scope & scope,  ::tensorflow::Input logits,  ::tensorflow::Input num_samples,  const Multinomial::Attrs & attrs )

::tensorflow::Node * node() const

 operator::tensorflow::Input() const

 operator::tensorflow::Output() const

Attrs OutputDtype(  DataType x )

Attrs Seed( int64 x )

Attrs Seed2( int64 x )