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Computes the power of one value to another.
Aliases:
tf.RaggedTensor.pow
tf.compat.v1.RaggedTensor.pow
tf.compat.v1.math.pow
tf.compat.v1.pow
tf.compat.v2.RaggedTensor.pow
tf.compat.v2.math.pow
tf.compat.v2.pow
tf.pow
tf.math.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
: ATensor
of typefloat16
,float32
,float64
,int32
,int64
,complex64
, orcomplex128
.y
: ATensor
of typefloat16
,float32
,float64
,int32
,int64
,complex64
, orcomplex128
.name
: A name for the operation (optional).
Returns:
A Tensor
.