tf.raw_ops.StatelessMultinomial
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Draws samples from a multinomial distribution.
tf.raw_ops.StatelessMultinomial(
logits,
num_samples,
seed,
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
|
A Tensor . Must be one of the following types: int32 , int64 .
2 seeds (shape [2]).
|
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 .
|
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Last updated 2024-04-26 UTC.
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