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

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

One input's admitted shapes: its name, its element type, one DimDomain per dimension, and the axis a benchmark counts items along. batch_axis is a guess the report echoes back: the first dimension named batch, batch_size, N or B, else the first dynamic dimension, else -1 (one item per run); BenchOptions(batch_axis=...) overrides it.

## `batch_axis` (property)

The guessed batch axis, or -1.

## `dims` (property)

One DimDomain per dimension.

## `dtype` (property)

The input's element type.

## `name` (property)

The input's name.

## `__init__`

```python
__init____init__(self) -> None
```

__init__(self) -> None

## `admits`

```python
admitsadmits(self, dims: collections.abc.Sequence[int]) -> bool
```

admits(self, dims: collections.abc.Sequence[int]) -> bool

admits(dims) -> bool

True when `dims` has the input's rank and every extent is admitted by its DimDomain.