Aliases:
tf.RaggedTensor.__pow__
tf.math.pow
tf.pow
tf.math.pow(
x,
y,
name=None
)
Defined in tensorflow/python/ops/math_ops.py
.
Computes the power of one value to another.
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
.