tf.raw_ops.Multinomial

Draws samples from a multinomial distribution.

Compat aliases for migration

tf.compat.v1.raw_ops.Multinomial

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

Args
`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).

Returns
A `Tensor` of type `output_dtype`.

Args