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library_name: kernels
license: apache-2.0
tags:
- kernel
- webgpu
- wgsl
---
# ai.onnx.BitCast
`ai.onnx` · standard ONNX operator · ONNX opset ≥ 26
## Description
Reinterprets the raw bit pattern of a tensor as a different data type without any value conversion. The target type must have the same bit-width as the input type, and the output tensor has the same shape as the input.
See the [ONNX `BitCast` spec](https://onnx.ai/onnx/operators/onnx__BitCast.html) for the reference semantics.
## Inputs
| Name | Bind key | Logical dtype | Rank | Shape | Description | Presence |
| --- | --- | --- | --- | --- | --- | --- |
| `input` | `input` | `T` | — | — | Input tensor to be bitwise reinterpreted. | required |
## Outputs
| Name | Bind key | Logical dtype | Rank | Shape | Description | Presence |
| --- | --- | --- | --- | --- | --- | --- |
| `output` | `output` | `U` | same as `input` | same as `input` | Output tensor with the same shape as the input, reinterpreted as the target type. | required |
## Attributes
Attributes and default values (overridable per request):
| Attribute | Default | Description |
| --- | --- | --- |
| `to` | — | Required TensorProto DataType enum integer naming the output dtype; the target type must have the same bit-width as the input type. |
## Type constraints
| Variable | Allowed dtypes |
| --- | --- |
| `T` | `float32`, `int8`, `int32`, `uint8`, `uint32` |
| `U` | `float32`, `int8`, `int32`, `uint8`, `uint32` |
## Files
- [`metadata.json`](build/webgpu/metadata.json) — kernel metadata (id, digests, provenance)
- [`manifest.json`](build/webgpu/manifest.json) — the op contract (source of truth)
- [`test.json`](build/webgpu/test.json) — correctness cases
- [`bench.json`](build/webgpu/bench.json) — benchmark + tuning cases
- [`bitcast.wgsl.jinja`](build/webgpu/bitcast.wgsl.jinja)
## Use with `@huggingface/kernels`
The loader derives every required output's shape and logical dtype from the manifest contract and this call.
It then allocates the result tensors automatically.
The `version: 1` option selects the published kernel contract; it is independent of any operator opset, contrib `since_version`, or model version.
Replace each `*Data` placeholder with a typed array containing the corresponding input data.
```js
import { getKernel } from "@huggingface/kernels";
const kernel = await getKernel("webgpu-kernels/ai.onnx.BitCast", { version: 1 });
const { output } = await kernel({ input: { data: inputData, shape: [] } }, {
attrs: { to: 6 },
});
```
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