tf.math.floor
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Returns element-wise largest integer not greater than x.
tf.math.floor(
x, name=None
)
Used in the notebooks
Both input range is (-inf, inf)
and the
output range consists of all integer values.
For example:
x = tf.constant([1.3324, -1.5, 5.555, -2.532, 0.99, float("inf")])
tf.floor(x).numpy()
array([ 1., -2., 5., -3., 0., inf], dtype=float32)
Args |
x
|
A Tensor . Must be one of the following types: bfloat16 , half ,
float32 , float64 .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor . Has the same type as x.
|
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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26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.floor\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#L5593-L5616) |\n\nReturns element-wise largest integer not greater than x.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.floor`](https://www.tensorflow.org/api_docs/python/tf/math/floor)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.floor`](https://www.tensorflow.org/api_docs/python/tf/math/floor)\n\n\u003cbr /\u003e\n\n tf.math.floor(\n x, name=None\n )\n\n### Used in the notebooks\n\n| Used in the tutorials |\n|-----------------------------------------------------------------------------------------------|\n| - [Scalable model compression](https://www.tensorflow.org/tutorials/optimization/compression) |\n\nBoth input range is `(-inf, inf)` and the\noutput range consists of all integer values.\n\n#### For example:\n\n x = tf.constant([1.3324, -1.5, 5.555, -2.532, 0.99, float(\"inf\")])\n tf.floor(x).numpy()\n array([ 1., -2., 5., -3., 0., inf], dtype=float32)\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`. |\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. ||\n\n\u003cbr /\u003e"]]