ai.onnx.Div / build /webgpu /binary-vec4.wgsl.jinja
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{{ env.wgsl.resourceDeclarations }}
{% set vec4PerThread = vec4PerThread %}
{% if vec4PerThread > 1 %}
const ITEMS: u32 = {{ vec4PerThread }}u;
{% endif %}
@compute @workgroup_size({{ tunables.WORKGROUP_SIZE }})
fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
// 2D-folded flat index: gid.y carries the high bits when the element count exceeds the
// per-axis dispatch fold width (the dispatch caps x and spills the rest into y).
{% if vec4PerThread > 1 %}
// Each invocation walks ITEMS vec4 groups a span apart. Consecutive lanes
// access consecutive words on every step, while each lane can keep several
// independent loads in flight.
let tid = gid.x + gid.y * {{ DISPATCH_FOLD_WIDTH }}u * {{ tunables.WORKGROUP_SIZE }}u;
let span = (params.count + ITEMS - 1u) / ITEMS;
for (var j = 0u; j < ITEMS; j = j + 1u) {
let i = tid + j * span;
if (i >= params.count) {
break;
}
{% else %}
let i = gid.x + gid.y * {{ DISPATCH_FOLD_WIDTH }}u * {{ tunables.WORKGROUP_SIZE }}u;
if (i >= params.count) {
return;
}
{% endif %}
{% set scalarOperand = scalarOperand if scalarOperand is defined else "" %}
{% if scalarOperand == "a" %}
// One-element operand: read once and splat across the vector.
let av = {{ vectorScalar }}(a[0]);
{% else %}
let av = a[i];
{% endif %}
{% if scalarOperand == "b" %}
let bv = {{ vectorScalar }}(b[0]);
{% else %}
let bv = b[i];
{% endif %}
{% if scalar == "i32" or scalar == "u32" %}
let r = av / bv;
// Narrow integer operations wrap modulo the logical dtype width; int8/uint8
// use i32/u32 storage.
{% if cDtype == "int8" %}
c[i] = (r << vec4<u32>(24u)) >> vec4<u32>(24u);
{% elif cDtype == "uint8" %}
c[i] = r & vec4<u32>(0xFFu);
{% else %}
c[i] = r;
{% endif %}
{% elif scalar == "f16" %}
let avf = vec4<f32>(av);
let bvf = vec4<f32>(bv);
let quotient = avf / bvf;
let rounded = round(quotient);
let snapProduct = rounded * bvf == avf;
let snapClose = abs(quotient - rounded) < vec4<f32>(0.5);
c[i] = vec4<f16>(vec4<f32>(
select(quotient.x, rounded.x, snapProduct.x && snapClose.x),
select(quotient.y, rounded.y, snapProduct.y && snapClose.y),
select(quotient.z, rounded.z, snapProduct.z && snapClose.z),
select(quotient.w, rounded.w, snapProduct.w && snapClose.w)
));
{% else %}
let quotient = av / bv;
let rounded = round(quotient);
let snapProduct = rounded * bv == av;
let snapClose = abs(quotient - rounded) < vec4<f32>(0.5);
c[i] = vec4<f32>(
select(quotient.x, rounded.x, snapProduct.x && snapClose.x),
select(quotient.y, rounded.y, snapProduct.y && snapClose.y),
select(quotient.z, rounded.z, snapProduct.z && snapClose.z),
select(quotient.w, rounded.w, snapProduct.w && snapClose.w)
);
{% endif %}
{% if vec4PerThread > 1 %}
}
{% endif %}
}