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

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

The knobs of compiling a loaded model file (OnnxModel.compile): the input shape pins and the weight residency. The compile returns the graph as built; ModelGraph.optimize() takes the specialization and channels-last choices (DefaultsOptions).

## `place` (property)

The Device or Stream the weights live on and finalize() places the graph on, or None (the CPU).

## `sample_inputs` (property)

Example inputs by name; each pins its input's shape as a fixed profile.

## `specs` (property)

The input shape pins by name, each as a dict with min / opt / max shapes.

## `sticky` (property)

Keep the weights' lineage on disk (evictable, re-readable derived tensors).

## `__init__`

```python
__init____init__(self, *, specs: object | None = None, sample_inputs: object | None = None, place: object | None = None, sticky: bool = False) -> None
```

__init__(self, *, specs: object | None = None, sample_inputs: object | None = None, place: object | None = None, sticky: bool = False) -> None

CompileOptions(*, specs=None, sample_inputs=None, place=None, sticky=False)

`specs` pins input shapes by name: a shape (sequence of ints), a (min, opt, max) triple of shapes, or a dict with min / opt / max. `sample_inputs` pins them from example tensors by name (values are never read). `place` is a Device, a device string or a Stream the weights live on and finalize() places the graph on; None keeps them on the CPU.