---
title: "interpolate"
sidebar_label: "interpolate"
description: "Kotlin binding reference: interpolate."
---

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//[clika-runtime](../../../index.md)/[io.clika.runtime](../index.md)/[Ops](index.md)/[interpolate](interpolate.md)

# interpolate

[common]\
fun [interpolate](interpolate.md)(input: [Tensor](../Tensor/index.md), sizes: [LongArray](https://kotlinlang.org/api/core/kotlin-stdlib/kotlin/-long-array/index.html) = longArrayOf(), scaleFactors: [LongArray](https://kotlinlang.org/api/core/kotlin-stdlib/kotlin/-long-array/index.html) = longArrayOf(), mode: [InterpMode](../InterpMode/index.md) = InterpMode.NEAREST, alignCorners: [Boolean](https://kotlinlang.org/api/core/kotlin-stdlib/kotlin/-boolean/index.html)? = null, recomputeScaleFactor: [Boolean](https://kotlinlang.org/api/core/kotlin-stdlib/kotlin/-boolean/index.html) = false, antialias: [Boolean](https://kotlinlang.org/api/core/kotlin-stdlib/kotlin/-boolean/index.html) = false): [Tensor](../Tensor/index.md)

`interpolate(input: Tensor, sizes: LongArray = longArrayOf(), scaleFactors: LongArray = longArrayOf(), mode: InterpMode = InterpMode.NEAREST, alignCorners: Boolean? = null, recomputeScaleFactor: Boolean = false, antialias: Boolean = false)`: the `interpolate` operator. Resample the spatial dims to `sizes` OR by `scale_factors` (exactly one given; entries may be int literals or 0-D Tensors, so a dynamic output size flows without a host read). Rank picks the spatial variant.