tensorflow::ops::Multinomial

#include <random_ops.h>

Draws samples from a multinomial distribution.

Summary

Arguments:

• 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).

Public attributes

Operation operation

::tensorflow::Output output

Public functions

 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 

Public static functions

Attrs OutputDtype(
  DataType x
)

Attrs Seed(
  int64 x
)

Attrs Seed2(
  int64 x
)