Computes natural logarithm of x element-wise.
tfp.experimental.distributions.marginal_fns.ps.log(
x: Annotated[Any, TV_Log_T], name=None
) -> Annotated[Any, TV_Log_T]
I.e., \(y = \log_e x\).
Example:
x = tf.constant([0, 0.5, 1, 5])tf.math.log(x)<tf.Tensor: shape=(4,), dtype=float32, numpy=array([ -inf, -0.6931472, 0. , 1.609438 ], dtype=float32)>
See: https://en.wikipedia.org/wiki/Logarithm
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.
|