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|
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.Tensor of type bfloat16, half, float32, float64,
complex64, complex128
|
y
|
A tf.Tensor of type bfloat16, half, float32, float64,
complex64, complex128
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
x * log1p(y).
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Scipy Compatibility
Equivalent to scipy.special.xlog1py