# tf.raw_ops.Multinomial

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Draws samples from a multinomial distribution.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.Multinomial`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Multinomial)

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    tf.raw_ops.Multinomial(
        logits,
        num_samples,
        seed=0,
        seed2=0,
        output_dtype=https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes#int64,
        name=None
    )

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| ## 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`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes/DType) from: `tf.int32, tf.int64`. Defaults to [`tf.int64`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf#int64). |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `output_dtype`. ||

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