WasmGPU.compute.kernels.sclC64¶
Summary¶
sclC64 multiplies each interleaved complex64 input by a complex scalar.
Syntax¶
WasmGPU.compute.kernels.sclC64(input: StorageBuffer, scalar: readonly [number, number], opts?: VectorKernelOptions): StorageBuffer
Parameters¶
| Name | Type | Required | Description |
|---|---|---|---|
input |
StorageBuffer |
Yes | Input vector. |
scalar |
C64Scalar |
Yes | Complex scalar as [real, imaginary]. |
opts |
VectorKernelOptions |
No | Element count, reusable output, encoder, label, and workgroup-limit validation. |
Returns¶
StorageBuffer - Output containing scalar * input for each selected element. A newly allocated buffer enables COPY_SRC; a supplied opts.out is returned unchanged by identity.
Type Details¶
type VectorKernelOptions = {
count?: number;
out?: StorageBuffer;
encoder?: GPUCommandEncoder;
label?: string;
validateLimits?: boolean;
};
type C64Scalar = readonly [number, number];
Each complex value is stored as adjacent [real, imaginary] f32 components. opts.count defaults from input capacity. Optional output buffer with at least count * 8 bytes. The output must be distinct from every input. When opts.encoder is supplied, commands are recorded but not submitted by this call.
Example¶
const wgpu = await WasmGPU.create(document.querySelector("canvas"));
const input = wgpu.compute.createStorageBuffer({ data: new Float32Array([1, 0, 2, -1, 3, 0, 4, 2]) });
const out = wgpu.compute.kernels.sclC64(input, [2, 0]);
const values = await wgpu.compute.readback.readF32(out);
console.log(Array.from(values));