compute.kernels.argmaxF32¶
Summary¶
compute.kernels.argmaxF32 finds the index/value pair for the maximum f32 element.
It is a convenience wrapper over argReduceF32(input, "argmax", opts).
Output uses the standard 8-byte pair layout: value bits and index.
Use this for peak-value localization and top-element indexing.
Ties select the lowest index, and NaNs are ignored. Count, output, encoder, ownership, finite-input requirements, and empty-input behavior match argReduceF32.
Syntax¶
WasmGPU.compute.kernels.argmaxF32(input: StorageBuffer, opts?: ArgReduceOptions): StorageBuffer
const out = wgpu.compute.kernels.argmaxF32(input, opts);
Parameters¶
| Name | Type | Required | Description |
|---|---|---|---|
input |
StorageBuffer |
Yes | Source float buffer. |
opts |
ArgReduceOptions |
No | Optional execution settings. |
Returns¶
StorageBuffer - 8-byte result buffer containing maximum value bits and index.
Example¶
const canvas = document.querySelector("canvas");
const wgpu = await WasmGPU.create(canvas);
const input = wgpu.compute.createStorageBuffer({ data: new Float32Array([3, -2, 11, 8]), copySrc: true });
const out = wgpu.compute.kernels.argmaxF32(input);
const view = new DataView(await wgpu.compute.readback.read(out, 0, 8));
console.log(view.getFloat32(0, true), view.getUint32(4, true));