---
title: "ClikaRT::ops::upsample_nearest2d"
sidebar_label: "upsample_nearest2d"
description: "2-D nearest-neighbor resize. Exactly one of sizes (target extents) / scale_factors (multipliers) is given; entries are literals or 0-D tensors (tensor entries trace symbolically)."
---

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<span class="api-kind api-kind--function">function</span>

## upsample\_nearest2d() {#upsample_nearest2d}

<div class="api-signature">

[`Tensor`](../Tensor.md) **`upsample_nearest2d`**(<br />
&nbsp;&nbsp;&nbsp;&nbsp;[`Tensor`](../Tensor.md) `input`,<br />
&nbsp;&nbsp;&nbsp;&nbsp;[`ClikaRT::Span`](../Span.md)`<const` [`ScalarOrTensor`](../ScalarOrTensor.md)`>` `sizes` `=` `{}`,<br />
&nbsp;&nbsp;&nbsp;&nbsp;[`ClikaRT::Span`](../Span.md)`<const` [`ScalarOrTensor`](../ScalarOrTensor.md)`>` `scale_factors` `=` `{}`<br />
)

</div>

2-D nearest-neighbor resize.

Exactly one of `sizes` (target extents) / `scale_factors` (multipliers) is given; entries are literals or 0-D tensors (tensor entries trace symbolically). Input is channels-last.

**Parameters**

- `input`: channels-last `[N, H, W, C]`.
- `sizes`: target spatial extents (XOR scale\_factors).
- `scale_factors`: per-dim multipliers (XOR sizes).

**Throws**

- `ClikaRT::Error`: when the input's dtype/shape is not served for this operation (the machine-readable reason rides `code_name()`).

**Returns:** channels-last `[N, H', W', C]`.

<div class="api-declared">

Declared in `ClikaRT/compute/ops.h`, line 5507

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