# tf.math.lgamma

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Computes the log of the absolute value of `Gamma(x)` element-wise.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.math.lgamma(
        x: Annotated[Any, https://www.tensorflow.org/api_docs/python/tf/raw_ops/Any],
        name=None
    ) -> Annotated[Any, https://www.tensorflow.org/api_docs/python/tf/raw_ops/Any]

For positive numbers, this function computes log((input - 1)!) for every element in the tensor.
`lgamma(5) = log((5-1)!) = log(4!) = log(24) = 3.1780539`

#### Example:

    x = tf.constant([0, 0.5, 1, 4.5, -4, -5.6])
    tf.math.lgamma(x) ==> [inf, 0.5723649, 0., 2.4537368, inf, -4.6477685]

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| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `x`. ||

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