tf.compat.v1.multinomial | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.multinomial
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Draws samples from a multinomial distribution. (deprecated)
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.random.multinomial
tf.compat.v1.multinomial(
logits, num_samples, seed=None, name=None, output_dtype=None
)
Example:
# samples has shape [1, 5], where each value is either 0 or 1 with equal
# probability.
samples = tf.random.categorical(tf.math.log([[0.5, 0.5]]), 5)
| Args | |
|---|---|
| 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. |
| seed | A Python integer. Used to create a random seed for the distribution. See tf.random.set_seed for behavior. |
| name | Optional name for the operation. |
| output_dtype | The integer type of the output: int32 or int64. Defaults to int64. |
| Returns |
|---|
| The drawn samples of shape [batch_size, num_samples]. |
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Last updated 2024-04-26 UTC.