tf.math.square
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Computes square of x element-wise.
tf.math.square(
x: Annotated[Any, tf.raw_ops.Any],
name=None
) -> Annotated[Any, tf.raw_ops.Any]
Used in the notebooks
| Used in the guide |
Used in the tutorials |
|
|
|
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, returns
SparseTensor(x.indices, tf.math.square(x.values, ...), x.dense_shape)
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.math.square\n\nComputes square of x element-wise.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.square`](https://www.tensorflow.org/api_docs/python/tf/math/square)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.square`](https://www.tensorflow.org/api_docs/python/tf/math/square)\n\n\u003cbr /\u003e\n\n tf.math.square(\n x: Annotated[Any, ../../tf/raw_ops/Any],\n name=None\n ) -\u003e Annotated[Any, ../../tf/raw_ops/Any]\n\n### Used in the notebooks\n\n| Used in the guide | Used in the tutorials |\n|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------|\n| - [Better performance with tf.function](https://www.tensorflow.org/guide/function) - [Basic training loops](https://www.tensorflow.org/guide/basic_training_loops) - [TensorFlow basics](https://www.tensorflow.org/guide/basics) - [Distributed training with Core APIs and DTensor](https://www.tensorflow.org/guide/core/distribution) - [Multilayer perceptrons for digit recognition with Core APIs](https://www.tensorflow.org/guide/core/mlp_core) | - [Customization basics: tensors and operations](https://www.tensorflow.org/tutorials/customization/basics) |\n\nI.e., \\\\(y = x \\* x = x\\^2\\\\). \n\n tf.math.square([-2., 0., 3.])\n \u003ctf.Tensor: shape=(3,), dtype=float32, numpy=array([4., 0., 9.], dtype=float32)\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `x` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `int8`, `int16`, `int32`, `int64`, `uint8`, `uint16`, `uint32`, `uint64`, `complex64`, `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`. Has the same type as `x`. \u003cbr /\u003e If `x` is a `SparseTensor`, returns `SparseTensor(x.indices, tf.math.square(x.values, ...), x.dense_shape)` ||\n\n\u003cbr /\u003e"]]
