# tf.compat.v1.random_poisson

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/random_ops.py#L656-L694) |

Draws `shape` samples from each of the given Poisson distribution(s).

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.random.poisson`](https://www.tensorflow.org/api_docs/python/tf/compat/v1/random_poisson)

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    tf.compat.v1.random_poisson(
        lam,
        shape,
        dtype=https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes#float32,
        seed=None,
        name=None
    )

`lam` is the rate parameter describing the distribution(s).

#### Example:

    samples = tf.random.poisson([0.5, 1.5], [10])
    # samples has shape [10, 2], where each slice [:, 0] and [:, 1] represents
    # the samples drawn from each distribution

    samples = tf.random.poisson([12.2, 3.3], [7, 5])
    # samples has shape [7, 5, 2], where each slice [:, :, 0] and [:, :, 1]
    # represents the 7x5 samples drawn from each of the two distributions

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| ## Args ||
|---|---|
| `lam` | A Tensor or Python value or N-D array of type `dtype`. `lam` provides the rate parameter(s) describing the poisson distribution(s) to sample. |
| `shape` | A 1-D integer Tensor or Python array. The shape of the output samples to be drawn per "rate"-parameterized distribution. |
| `dtype` | The type of the output: `float16`, `float32`, `float64`, `int32` or `int64`. |
| `seed` | A Python integer. Used to create a random seed for the distributions. See [`tf.random.set_seed`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/random/set_seed) for behavior. |
| `name` | Optional name for the operation. |

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| ## Returns ||
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| `samples` | a `Tensor` of shape `tf.concat([shape, tf.shape(lam)], axis=0)` with values of type `dtype`. |

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