typegpu/data/numberOps.js

A thin layer between JS and WebGPU/WGSL that improves development experience and allows for faster iteration.

export const smoothstepScalar = (edge0, edge1, x) => {
    if (edge0 === edge1) {
        return 0; // WGSL spec says this is an indeterminate value
    }
    const t = clampScalar((x - edge0) / (edge1 - edge0), 0.0, 1.0);
    return t * t * (3 - 2 * t);
};
export const clampScalar = (value, low, high) => Math.min(Math.max(low, value), high);
const buf32 = new ArrayBuffer(4);
const f32arr = new Float32Array(buf32);
const u32arr = new Uint32Array(buf32);
const i32arr = new Int32Array(buf32);
export function bitcastU32toF32Impl(n) {
    u32arr[0] = n;
    return f32arr[0];
}
export function bitcastU32toI32Impl(n) {
    u32arr[0] = n;
    return i32arr[0];
}
export function bitcastF32toU32Impl(n) {
    f32arr[0] = n;
    return u32arr[0];
}