tf.raw_ops.Multinomial

Draws samples from a multinomial distribution.

tf.raw_ops.Multinomial(
    logits,
    num_samples,
    seed=0,
    seed2=0,
    output_dtype=tf.dtypes.int64,
    name=None
)

logits A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64. 2-D Tensor with shape [batch_size, num_classes]. Each slice [i, :] represents the unnormalized log probabilities for all classes.
num_samples A Tensor of type int32. 0-D. Number of independent samples to draw for each row slice.
seed An optional int. Defaults to 0. 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 An optional int. Defaults to 0. A second seed to avoid seed collision.
output_dtype An optional tf.DType from: tf.int32, tf.int64. Defaults to tf.int64.
name A name for the operation (optional).

A Tensor of type output_dtype.