tf.math.square | TensorFlow v2.16.1 (original) (raw)

tf.math.square

Stay organized with collections Save and categorize content based on your preferences.

Computes square of x element-wise.

Main aliases

tf.square

Compat aliases for migration

SeeMigration guide for more details.

tf.math.square(
    x: Annotated[Any, tf.raw_ops.Any],
    name=None
) -> Annotated[Any, tf.raw_ops.Any]

Used in the guide	Used in the tutorials
Better performance with tf.function Basic training loops TensorFlow basics Distributed training with Core APIs and DTensor Multilayer perceptrons for digit recognition with Core APIs	Customization basics: tensors and operations

I.e., \(y = x * x = x^2\).

tf.math.square([-2., 0., 3.]) <tf.Tensor: shape=(3,), dtype=float32, numpy=array([4., 0., 9.], dtype=float32)>

Args
x	A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int8, int16, int32, int64, uint8, uint16, uint32, uint64, complex64, complex128.
name	A name for the operation (optional).

Returns
A Tensor. Has the same type as x.If x is a SparseTensor, returnsSparseTensor(x.indices, tf.math.square(x.values, ...), x.dense_shape)

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-04-26 UTC.