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.
|