tf.math.equal
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Returns the truth value of (x == y) element-wise.
tf.math.equal(
x, y, name=None
)
Used in the notebooks
| Used in the guide |
Used in the tutorials |
|
|
|
Performs a broadcast with the
arguments and then an element-wise equality comparison, returning a Tensor of
boolean values.
For example:
x = tf.constant([2, 4])
y = tf.constant(2)
tf.math.equal(x, y)
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([ True, False])>
x = tf.constant([2, 4])
y = tf.constant([2, 4])
tf.math.equal(x, y)
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([ True, True])>
Returns |
|---|
A tf.Tensor of type bool with the same size as that of x or y.
|
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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26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.equal\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/math_ops.py#L1784-L1818) |\n\nReturns the truth value of (x == y) element-wise.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.equal`](https://www.tensorflow.org/api_docs/python/tf/math/equal)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.equal`](https://www.tensorflow.org/api_docs/python/tf/math/equal), [`tf.compat.v1.math.equal`](https://www.tensorflow.org/api_docs/python/tf/math/equal)\n\n\u003cbr /\u003e\n\n tf.math.equal(\n x, y, name=None\n )\n\n### Used in the notebooks\n\n| Used in the guide | Used in the tutorials |\n|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| - [Multilayer perceptrons for digit recognition with Core APIs](https://www.tensorflow.org/guide/core/mlp_core) - [Distributed training with Core APIs and DTensor](https://www.tensorflow.org/guide/core/distribution) - [Extension types](https://www.tensorflow.org/guide/extension_type) - [MinDiff Data Preparation](https://www.tensorflow.org/responsible_ai/model_remediation/min_diff/guide/min_diff_data_preparation) | - [Tutorial on Multi Armed Bandits in TF-Agents](https://www.tensorflow.org/agents/tutorials/bandits_tutorial) - [Classify Flowers with Transfer Learning](https://www.tensorflow.org/hub/tutorials/image_feature_vector) - [Federated Learning for Image Classification](https://www.tensorflow.org/federated/tutorials/federated_learning_for_image_classification) - [Sending Different Data To Particular Clients With tff.federated_select](https://www.tensorflow.org/federated/tutorials/federated_select) - [End to end example for BigQuery TensorFlow reader](https://www.tensorflow.org/io/tutorials/bigquery) |\n\nPerforms a [broadcast](https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html) with the\narguments and then an element-wise equality comparison, returning a Tensor of\nboolean values.\n\n#### For example:\n\n x = tf.constant([2, 4])\n y = tf.constant(2)\n tf.math.equal(x, y)\n \u003ctf.Tensor: shape=(2,), dtype=bool, numpy=array([ True, False])\u003e\n\n x = tf.constant([2, 4])\n y = tf.constant([2, 4])\n tf.math.equal(x, y)\n \u003ctf.Tensor: shape=(2,), dtype=bool, numpy=array([ True, True])\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|--------------------------------------|\n| `x` | A [`tf.Tensor`](../../tf/Tensor). |\n| `y` | A [`tf.Tensor`](../../tf/Tensor). |\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 [`tf.Tensor`](../../tf/Tensor) of type bool with the same size as that of x or y. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|---|---|\n| [`tf.errors.InvalidArgumentError`](../../tf/errors/InvalidArgumentError): If shapes of arguments are incompatible ||\n\n\u003cbr /\u003e"]]
View source on GitHub