# tf.math.log1p

Computes natural logarithm of (1 + x) element-wise.

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.log1p`](https://www.tensorflow.org/api_docs/python/tf/math/log1p)

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    tf.math.log1p(
        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]

I.e., \\(y = \\log_e (1 + x)\\).

#### Example:

    x = tf.constant([0, 0.5, 1, 5])
    tf.math.log1p(x)
    <tf.Tensor: shape=(4,), dtype=float32, numpy=array([0.       , 0.4054651, 0.6931472, 1.7917595], dtype=float32)>

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| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `complex64`, `complex128`. |
| `name` | A name for the operation (optional). |

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

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