tf.math.pow
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Computes the power of one value to another.
tf.math.pow(
x, y, name=None
)
Used in the notebooks
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 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.math.pow\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/math_ops.py#L663-L689) |\n\nComputes the power of one value to another.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.pow`](https://www.tensorflow.org/api_docs/python/tf/math/pow)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.math.pow`](https://www.tensorflow.org/api_docs/python/tf/math/pow), [`tf.compat.v1.pow`](https://www.tensorflow.org/api_docs/python/tf/math/pow)\n\n\u003cbr /\u003e\n\n tf.math.pow(\n x, y, name=None\n )\n\n### Used in the notebooks\n\n| Used in the guide |\n|----------------------------------------------------------------------------------------------|\n| - [Introduction to graphs and tf.function](https://www.tensorflow.org/guide/intro_to_graphs) |\n\nGiven a tensor `x` and a tensor `y`, this operation computes \\\\(x\\^y\\\\) for\ncorresponding elements in `x` and `y`. For example: \n\n x = tf.constant([[2, 2], [3, 3]])\n y = tf.constant([[8, 16], [2, 3]])\n tf.pow(x, y) # [[256, 65536], [9, 27]]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|-----------------------------------------------------------------------------------------------------|\n| `x` | A `Tensor` of type `float16`, `float32`, `float64`, `int32`, `int64`, `complex64`, or `complex128`. |\n| `y` | A `Tensor` of type `float16`, `float32`, `float64`, `int32`, `int64`, `complex64`, or `complex128`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. ||\n\n\u003cbr /\u003e"]]