tfp.experimental.distributions.marginal_fns.ps.pow
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Computes the power of one value to another.
tfp.experimental.distributions.marginal_fns.ps.pow(
x, y, name=None
)
Given a tensor x and a tensor y, this operation computes \(x^y\) for
corresponding elements in x and y. For example:
x = tf.constant([[2, 2], [3, 3]])
y = tf.constant([[8, 16], [2, 3]])
tf.pow(x, y) # [[256, 65536], [9, 27]]
Args |
|---|
x
|
A Tensor of type float16, float32, float64, int32, int64,
complex64, or complex128.
|
y
|
A Tensor of type float16, float32, float64, int32, int64,
complex64, or complex128.
|
name
|
A name for the operation (optional).
|
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Last updated 2023-05-09 UTC.
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