---
title: "ClikaRT::ops::binary_cross_entropy_with_logits"
sidebar_label: "binary_cross_entropy_with_logits"
description: "Binary cross-entropy on RAW LOGITS (sigmoid fused, numerically stable). Computes binary_cross_entropy(sigmoid(input), target) in one pass without materializing the probabilities."
---

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

## binary\_cross\_entropy\_with\_logits() {#binary_cross_entropy_with_logits}

<div class="api-signature">

[`Tensor`](../Tensor.md) **`binary_cross_entropy_with_logits`**(<br />
&nbsp;&nbsp;&nbsp;&nbsp;[`Tensor`](../Tensor.md) `input`,<br />
&nbsp;&nbsp;&nbsp;&nbsp;[`Tensor`](../Tensor.md) `target`,<br />
&nbsp;&nbsp;&nbsp;&nbsp;[`OptionalTensor`](../../index.md#OptionalTensor) `weight` `=` `{}`,<br />
&nbsp;&nbsp;&nbsp;&nbsp;[`Reduction`](./index.md#Reduction) `reduction` `=` [`Reduction::Mean`](./index.md#Reduction),<br />
&nbsp;&nbsp;&nbsp;&nbsp;[`OptionalTensor`](../../index.md#OptionalTensor) `pos_weight` `=` `{}`<br />
)

</div>

Binary cross-entropy on RAW LOGITS (sigmoid fused, numerically stable).

Computes `binary_cross_entropy(sigmoid(input), target)` in one pass without materializing the probabilities. `pos_weight` scales the positive-class term per element (class-imbalance correction).

**Parameters**

- `input`: raw logits.
- `target`: targets in `[0, 1]`; same shape as `input`.
- `weight`: optional per-element weight; broadcastable.
- `reduction`: `None` / `Mean` / `Sum`; default `Mean`.
- `pos_weight`: optional positive-class weight; broadcastable.

**Returns:** the loss (0-D under `Mean`/`Sum`).

**Throws**

- `ClikaRT::Error`: (`INVALID_ARGUMENT`) on a shape mismatch.

<div class="api-declared">

Declared in `ClikaRT/compute/ops.h`, line 3005

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