numr 0.5.2

High-performance numerical computing with multi-backend GPU acceleration (CPU/CUDA/WebGPU)
Documentation 
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// Strided cumulative product shader for i32

struct CumprodStridedParams {
    scan_size: u32,
    outer_size: u32,
    inner_size: u32,
}

@group(0) @binding(0) var<storage, read_write> input: array<i32>;
@group(0) @binding(1) var<storage, read_write> output: array<i32>;
@group(0) @binding(2) var<uniform> params: CumprodStridedParams;

@compute @workgroup_size(256)
fn cumprod_strided_i32(@builtin(global_invocation_id) global_id: vec3<u32>) {
    let idx = global_id.x;
    let total_inner = params.outer_size * params.inner_size;
    if (idx >= total_inner) {
        return;
    }

    let outer_idx = idx / params.inner_size;
    let inner_idx = idx % params.inner_size;

    var acc: i32 = 1;
    for (var s: u32 = 0u; s < params.scan_size; s = s + 1u) {
        let offset = outer_idx * params.scan_size * params.inner_size + s * params.inner_size + inner_idx;
        acc = acc * input[offset];
        output[offset] = acc;
    }
}