|  View source on GitHub | 
Compute x * log1p(y).
tf.math.xlog1py(
    x, y, name=None
)
Given x and y, compute x * log1p(y). This function safely returns
zero when x = 0, no matter what the value of y is.
Example:
tf.math.xlog1py(0., 1.)<tf.Tensor: shape=(), dtype=float32, numpy=0.>tf.math.xlog1py(1., 1.)<tf.Tensor: shape=(), dtype=float32, numpy=0.6931472>tf.math.xlog1py(2., 2.)<tf.Tensor: shape=(), dtype=float32, numpy=2.1972246>tf.math.xlog1py(0., -1.)<tf.Tensor: shape=(), dtype=float32, numpy=0.>
| Args | |
|---|---|
| x | A tf.Tensorof typehalf,float32,float64,complex64,complex128 | 
| y | A tf.Tensorof typehalf,float32,float64,complex64,complex128 | 
| name | A name for the operation (optional). | 
| Returns | |
|---|---|
| x * log1p(y). | 
scipy compatibility
Equivalent to scipy.special.xlog1py