Computes natural logarithm of (1 + x) element-wise.
tfp.experimental.distributions.marginal_fns.ps.log1p(
x: Annotated[Any, TV_Log1p_T], name=None
) -> Annotated[Any, TV_Log1p_T]
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 .
|