// FP32 RMSNorm forward adapted from OA's donor kernel.
// Donor: source/cpp/lib/oa/ml/shader/compute/nn/rmsnorm/rmsNorm.slang
// Shared reduction: source/cpp/lib/oa/core/shader/compute/math/reductions.slang
import storage;
import attributes;
struct PushConstants {
uint input_index;
uint weight_index;
uint output_index;
uint rows;
uint columns;
float epsilon;
};
[[vk::push_constant]] PushConstants push;
[[vk::binding(0, 0)]] RWByteAddressBuffer storage_buffers[];
groupshared float partial[256];
[kernel_name("rms_norm")]
[domain("ml")]
[variant("generic")]
[dtype("f32")]
[status("experimental")]
[shader("compute")]
[numthreads(256, 1, 1)]
void main(uint3 group_id : SV_GroupID, uint3 group_thread_id : SV_GroupThreadID) {
uint row = group_id.x;
uint lane = group_thread_id.x;
if (row >= push.rows) return;
uint base = row * push.columns;
float local_square_sum = 0.0f;
for (uint column = lane; column < push.columns; column += 256u) {
float value = load_f32(storage_buffers[push.input_index], base + column);
local_square_sum += value * value;
}
partial[lane] = local_square_sum;
GroupMemoryBarrierWithGroupSync();
for (uint stride = 128u; stride > 0u; stride >>= 1u) {
if (lane < stride) partial[lane] += partial[lane + stride];
GroupMemoryBarrierWithGroupSync();
}
float inverse_rms = 1.0f / sqrt(partial[0] / float(push.columns) + push.epsilon);
for (uint column = lane; column < push.columns; column += 256u) {
float value = load_f32(storage_buffers[push.input_index], base + column);
float weight = load_f32(storage_buffers[push.weight_index], column);
store_f32(storage_buffers[push.output_index], base + column,
value * inverse_rms * weight);
}
}