[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26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.less\n\n\u003cbr /\u003e\n\nReturns the truth value of (x \\\u003c y) element-wise.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.less`](https://www.tensorflow.org/api_docs/python/tf/math/less)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.less`](https://www.tensorflow.org/api_docs/python/tf/math/less), [`tf.compat.v1.math.less`](https://www.tensorflow.org/api_docs/python/tf/math/less)\n\n\u003cbr /\u003e\n\n tf.math.less(\n x: Annotated[Any, ../../tf/raw_ops/Any],\n y: 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| - [Extension types](https://www.tensorflow.org/guide/extension_type) | - [Intro to Autoencoders](https://www.tensorflow.org/tutorials/generative/autoencoder) |\n\n| **Note:** [`math.less`](../../tf/math/less) supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\n#### Example:\n\n x = tf.constant([5, 4, 6])\n y = tf.constant([5])\n tf.math.less(x, y) ==\u003e [False, True, False]\n\n x = tf.constant([5, 4, 6])\n y = tf.constant([5, 6, 7])\n tf.math.less(x, y) ==\u003e [False, True, True]\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: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. |\n| `y` | A `Tensor`. Must have the same type as `x`. |\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` of type `bool`. ||\n\n\u003cbr /\u003e"]]