tf.math.log1p

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

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.log1p

tf.math.log1p(
    x: Annotated[Any, tf.raw_ops.Any],
    name=None
) -> Annotated[Any, 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)>

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

Returns
A Tensor. Has the same type as x.