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
)

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.