---
title: "KVCacheLayerInfo"
sidebar_label: "KVCacheLayerInfo"
description: "The clika_runtime.io KVCacheLayerInfo class."
---

<!-- Generated by tools/api_reference/generate_api_docs.py. Do not edit. -->

One attention layer's KV-cache wiring in a graph: which inputs carry its past keys and values in, which outputs carry the present ones out (any may be empty), and the layer's attention properties.

## `is_cross_attention` (property)

True when the layer attends the encoder stream.

## `is_self_attention` (property)

True when the layer attends its own sequence.

## `layer_idx` (property)

The sequential layer index.

## `mask_kind` (property)

The mask family: 'causal' or 'sliding_window_causal'.

## `num_heads` (property)

Query heads.

## `num_kv_heads` (property)

Key/value heads (grouped-query attention when fewer than num_heads).

## `op_name` (property)

The attention node's name.

## `past_key_input` (property)

The graph input carrying the past keys ('' when none).

## `past_value_input` (property)

The graph input carrying the past values ('' when none).

## `present_key_output` (property)

The graph output carrying the present keys ('' when none).

## `present_value_output` (property)

The graph output carrying the present values ('' when none).

## `sliding_window_size` (property)

The sliding window in tokens; 0 when the layer attends the whole past.

## `__init__`

```python
__init__(self, /, *args, **kwargs)
```

Initialize self.  See help(type(self)) for accurate signature.