ggml webgpu: ops support for qwen3.5 (SET, TRI_SOLVE, SSM_CONV, GATED_DELTA_NET) + GET_ROWS optimization (#20687)

* Implement l2_norm, set, tri

* Add DIAG/SOLVE_TRI

* Add SSM_CONV

* Better get_rows and gated_delta_net to support qwen3.5

* Clean up, update ops.md

* Fix binding_index type for wasm

* Fix read write annotations

* cleanups
This commit is contained in:
Reese Levine
2026-03-19 08:45:28 -07:00
committed by GitHub
parent 922b90e567
commit c1258830b2
10 changed files with 2872 additions and 6904 deletions
@@ -0,0 +1,132 @@
@group(0) @binding(0)
var<storage, read_write> src_q: array<f32>;
@group(0) @binding(1)
var<storage, read_write> src_k: array<f32>;
@group(0) @binding(2)
var<storage, read_write> src_v: array<f32>;
@group(0) @binding(3)
var<storage, read_write> src_g: array<f32>;
@group(0) @binding(4)
var<storage, read_write> src_beta: array<f32>;
@group(0) @binding(5)
var<storage, read_write> src_state: array<f32>;
@group(0) @binding(6)
var<storage, read_write> dst: array<f32>;
struct Params {
h: u32,
n_tokens: u32,
n_seqs: u32,
s_off: u32,
sq1: u32,
sq2: u32,
sq3: u32,
sv1: u32,
sv2: u32,
sv3: u32,
sb1: u32,
sb2: u32,
sb3: u32,
neq1: u32,
rq3: u32,
scale: f32,
};
@group(0) @binding(7)
var<uniform> params: Params;
var<workgroup> sh_k: array<f32, S_V>;
var<workgroup> sh_q: array<f32, S_V>;
var<workgroup> sh_g: array<f32, S_V>;
@compute @workgroup_size(WG_SIZE)
fn main(
@builtin(workgroup_id) workgroup_id: vec3<u32>,
@builtin(local_invocation_id) local_id: vec3<u32>
) {
let head_id = workgroup_id.x;
let seq_id = workgroup_id.y;
let col = local_id.x;
let iq1 = head_id % params.neq1;
let iq3 = seq_id / params.rq3;
let state_size = S_V * S_V;
let state_base = (seq_id * params.h + head_id) * state_size;
var state: array<f32, S_V>;
for (var i = 0u; i < S_V; i++) {
state[i] = src_state[state_base + col * S_V + i];
}
var attn_off = (seq_id * params.n_tokens * params.h + head_id) * S_V;
for (var t = 0u; t < params.n_tokens; t++) {
let q_off = iq3 * params.sq3 + t * params.sq2 + iq1 * params.sq1;
let k_off = q_off;
let v_off = seq_id * params.sv3 + t * params.sv2 + head_id * params.sv1;
let gb_off = seq_id * params.sb3 + t * params.sb2 + head_id * params.sb1;
sh_q[col] = src_q[q_off + col];
sh_k[col] = src_k[k_off + col];
#ifdef KDA
let g_base = gb_off * S_V;
sh_g[col] = exp(src_g[g_base + col]);
#endif
workgroupBarrier();
let v_val = src_v[v_off + col];
let beta_val = src_beta[gb_off];
var kv_col = 0.0;
var delta_col = 0.0;
var attn_col = 0.0;
#ifdef KDA
for (var i = 0u; i < S_V; i++) {
kv_col += (sh_g[i] * state[i]) * sh_k[i];
}
delta_col = (v_val - kv_col) * beta_val;
for (var i = 0u; i < S_V; i++) {
state[i] = sh_g[i] * state[i] + sh_k[i] * delta_col;
attn_col += state[i] * sh_q[i];
}
#else
let g_val = exp(src_g[gb_off]);
for (var i = 0u; i < S_V; i++) {
kv_col += state[i] * sh_k[i];
}
delta_col = (v_val - g_val * kv_col) * beta_val;
for (var i = 0u; i < S_V; i++) {
state[i] = g_val * state[i] + sh_k[i] * delta_col;
attn_col += state[i] * sh_q[i];
}
#endif
dst[attn_off + col] = attn_col * params.scale;
attn_off += S_V * params.h;
workgroupBarrier();
}
for (var i = 0u; i < S_V; i++) {
dst[params.s_off + state_base + col * S_V + i] = state[i];
}
}
@@ -640,6 +640,35 @@ var<uniform> params: Params;
@compute @workgroup_size(WG_SIZE)
fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
#ifdef FLOAT_PARALLEL
let blocks_per_row = params.ne0 / BLOCK_SIZE;
let row_count = params.n_rows * params.ne2 * params.ne3;
if (gid.x >= blocks_per_row * row_count) {
return;
}
let block_idx = gid.x % blocks_per_row;
var row_idx = gid.x / blocks_per_row;
let i_dst3 = row_idx / (params.ne2 * params.n_rows);
row_idx = row_idx % (params.ne2 * params.n_rows);
let i_dst2 = row_idx / params.n_rows;
let i_dst1 = row_idx % params.n_rows;
let i_idx2 = i_dst3 % params.idx2;
let i_idx1 = i_dst2 % params.idx1;
let i_idx0 = i_dst1;
let i_idx = params.offset_idx + i_idx0 * params.stride_idx0 + i_idx1 * params.stride_idx1 + i_idx2 * params.stride_idx2;
let idx_val = u32(idx[i_idx]);
let i_src_row = params.offset_src + idx_val * params.stride_src1 + i_dst2 * params.stride_src2 + i_dst3 * params.stride_src3;
let i_dst_row = params.offset_dst + i_dst1 * params.stride_dst1 + i_dst2 * params.stride_dst2 + i_dst3 * params.stride_dst3;
copy_elements(i_src_row, i_dst_row, block_idx);
#else
if (gid.x >= params.n_rows * params.ne2 * params.ne3) {
return;
}
@@ -664,5 +693,5 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
for (var i: u32 = 0; i < params.ne0/BLOCK_SIZE; i++) {
copy_elements(i_src_row, i_dst_row, i);
}
#endif
}
@@ -81,11 +81,12 @@ fn main(@builtin(workgroup_id) wid: vec3<u32>,
}
sum = scratch[0];
#ifdef OP_RMS_NORM
#ifdef RMS_NORM
let scale = 1.0/sqrt(sum/f32(params.ne0) + params.eps);
#elif OP_L2_NORM
#elif defined(L2_NORM)
let scale = 1.0/max(sqrt(sum), params.eps);
#endif
col = lid.x;
for (var j: u32 = 0; j < elems; j++) {
if (col >= params.ne0) {
+109
View File
@@ -0,0 +1,109 @@
#ifdef TYPE_I32
#define TYPE i32
#else
#define TYPE f32
#endif
#ifndef INPLACE
@group(0) @binding(0)
var<storage, read_write> src0: array<TYPE>;
#define SRC1_BINDING 1
#else
#define SRC1_BINDING 0
#endif
#define DST_BINDING SRC1_BINDING + 1
#define PARAMS_BINDING SRC1_BINDING + 2
@group(0) @binding(SRC1_BINDING)
var<storage, read_write> src1: array<TYPE>;
@group(0) @binding(DST_BINDING)
var<storage, read_write> dst: array<TYPE>;
struct Params {
ne: u32,
offset_src0: u32,
offset_src1: u32,
offset_view: u32,
stride_src10: u32,
stride_src11: u32,
stride_src12: u32,
stride_src13: u32,
stride_dst10: u32,
stride_dst11: u32,
stride_dst12: u32,
stride_dst13: u32,
src1_ne0: u32,
src1_ne1: u32,
src1_ne2: u32,
src1_ne3: u32,
};
@group(0) @binding(PARAMS_BINDING)
var<uniform> params: Params;
fn decode_src1_coords(idx: u32) -> vec4<u32> {
var i = idx;
let plane = params.src1_ne2 * params.src1_ne1 * params.src1_ne0;
let i3 = i / plane;
i = i % plane;
let row = params.src1_ne1 * params.src1_ne0;
let i2 = i / row;
i = i % row;
let i1 = i / params.src1_ne0;
let i0 = i % params.src1_ne0;
return vec4<u32>(i0, i1, i2, i3);
}
fn decode_view_coords(rel: u32) -> vec4<u32> {
let i3 = rel / params.stride_dst13;
let rem3 = rel % params.stride_dst13;
let i2 = rem3 / params.stride_dst12;
let rem2 = rem3 % params.stride_dst12;
let i1 = rem2 / params.stride_dst11;
let i0 = rem2 % params.stride_dst11;
return vec4<u32>(i0, i1, i2, i3);
}
fn view_rel_from_coords(coords: vec4<u32>) -> u32 {
return coords.x * params.stride_dst10 + coords.y * params.stride_dst11 +
coords.z * params.stride_dst12 + coords.w * params.stride_dst13;
}
fn src1_idx_from_coords(coords: vec4<u32>) -> u32 {
return coords.x * params.stride_src10 + coords.y * params.stride_src11 +
coords.z * params.stride_src12 + coords.w * params.stride_src13;
}
fn in_set_view(rel: u32, coords: vec4<u32>) -> bool {
return view_rel_from_coords(coords) == rel;
}
@compute @workgroup_size(WG_SIZE)
fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
if (gid.x >= params.ne) {
return;
}
#ifdef INPLACE
let coords = decode_src1_coords(gid.x);
let src1_idx = params.offset_src1 + src1_idx_from_coords(coords);
let dst_idx = params.offset_view + view_rel_from_coords(coords);
dst[dst_idx] = src1[src1_idx];
#else
let rel = select(params.ne, gid.x - params.offset_view, gid.x >= params.offset_view);
let coords = decode_view_coords(rel);
if (rel < params.stride_dst13 * params.src1_ne3 && in_set_view(rel, coords)) {
dst[gid.x] = src1[params.offset_src1 + src1_idx_from_coords(coords)];
} else {
dst[gid.x] = src0[params.offset_src0 + gid.x];
}
#endif
}
@@ -0,0 +1,121 @@
@group(0) @binding(0)
var<storage, read_write> src0: array<f32>;
@group(0) @binding(1)
var<storage, read_write> src1: array<f32>;
@group(0) @binding(2)
var<storage, read_write> dst: array<f32>;
struct Params {
offset_src0: u32,
offset_src1: u32,
offset_dst: u32,
stride_src00: u32,
stride_src01: u32,
stride_src02: u32,
stride_src03: u32,
stride_src10: u32,
stride_src11: u32,
stride_src12: u32,
stride_src13: u32,
stride_dst0: u32,
stride_dst1: u32,
stride_dst2: u32,
stride_dst3: u32,
k: u32,
ne2: u32,
ne3: u32,
};
@group(0) @binding(3)
var<uniform> params: Params;
var<workgroup> shA: array<f32, BATCH_N * N>;
var<workgroup> shB: array<f32, BATCH_N * K_TILE>;
fn src0_idx(row: u32, col: u32, i2: u32, i3: u32) -> u32 {
return params.offset_src0 +
col * params.stride_src00 +
row * params.stride_src01 +
i2 * params.stride_src02 +
i3 * params.stride_src03;
}
fn src1_idx(row: u32, col: u32, i2: u32, i3: u32) -> u32 {
return params.offset_src1 +
col * params.stride_src10 +
row * params.stride_src11 +
i2 * params.stride_src12 +
i3 * params.stride_src13;
}
fn dst_idx(row: u32, col: u32, i2: u32, i3: u32) -> u32 {
return params.offset_dst +
col * params.stride_dst0 +
row * params.stride_dst1 +
i2 * params.stride_dst2 +
i3 * params.stride_dst3;
}
@compute @workgroup_size(WG_SIZE)
fn main(
@builtin(workgroup_id) workgroup_id: vec3<u32>,
@builtin(local_invocation_id) local_id: vec3<u32>
) {
let batch = workgroup_id.y;
let col = workgroup_id.x * WG_SIZE + local_id.x;
let i3 = batch / params.ne2;
let i2 = batch % params.ne2;
let active_lane = local_id.x < K_TILE;
let active_col = active_lane && col < params.k;
var X: array<f32, N>;
for (var row_base = 0u; row_base < N; row_base += BATCH_N) {
let cur_n = min(BATCH_N, N - row_base);
for (var i = local_id.x; i < cur_n * N; i += WG_SIZE) {
let tile_row = i / N;
let tile_col = i % N;
shA[i] = src0[src0_idx(row_base + tile_row, tile_col, i2, i3)];
}
for (var i = local_id.x; i < cur_n * K_TILE; i += WG_SIZE) {
let tile_row = i / K_TILE;
let tile_col = i % K_TILE;
let global_col = workgroup_id.x * WG_SIZE + tile_col;
let sh_idx = tile_row * K_TILE + tile_col;
if (global_col < params.k) {
shB[sh_idx] = src1[src1_idx(row_base + tile_row, global_col, i2, i3)];
} else {
shB[sh_idx] = 0.0;
}
}
workgroupBarrier();
if (active_col) {
for (var row_offset = 0u; row_offset < cur_n; row_offset++) {
let r = row_base + row_offset;
var b = shB[row_offset * K_TILE + local_id.x];
let a_row = row_offset * N;
for (var t = 0u; t < r; t++) {
b -= shA[a_row + t] * X[t];
}
let x = b / shA[a_row + r];
X[r] = x;
dst[dst_idx(r, col, i2, i3)] = x;
}
}
workgroupBarrier();
}
}
@@ -0,0 +1,65 @@
@group(0) @binding(0)
var<storage, read_write> src0: array<f32>;
@group(0) @binding(1)
var<storage, read_write> src1: array<f32>;
@group(0) @binding(2)
var<storage, read_write> dst: array<f32>;
struct Params {
offset_src0: u32,
offset_src1: u32,
offset_dst: u32,
stride_src01: u32,
stride_src02: u32,
stride_src11: u32,
stride_dst0: u32,
stride_dst1: u32,
stride_dst2: u32,
nc: u32,
nr: u32,
n_t: u32,
n_s: u32,
token_tiles: u32,
};
@group(0) @binding(3)
var<uniform> params: Params;
@compute @workgroup_size(BLOCK_SIZE, TOKENS_PER_WG)
fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
let i1 = gid.x;
let tile_y = gid.y / TOKENS_PER_WG;
let local_token = gid.y % TOKENS_PER_WG;
let i3 = tile_y / params.token_tiles;
let token_tile = tile_y % params.token_tiles;
let i2 = token_tile * TOKENS_PER_WG + local_token;
if (i1 >= params.nr || i2 >= params.n_t || i3 >= params.n_s) {
return;
}
let src0_base = params.offset_src0 + i3 * params.stride_src02 + i2 + i1 * params.stride_src01;
let src1_base = params.offset_src1 + i1 * params.stride_src11;
var sum = 0.0;
#ifdef VECTORIZED
sum =
src0[src0_base + 0u] * src1[src1_base + 0u] +
src0[src0_base + 1u] * src1[src1_base + 1u] +
src0[src0_base + 2u] * src1[src1_base + 2u] +
src0[src0_base + 3u] * src1[src1_base + 3u];
#else
for (var i0 = 0u; i0 < params.nc; i0++) {
sum += src0[src0_base + i0] * src1[src1_base + i0];
}
#endif
let dst_idx = params.offset_dst + i3 * params.stride_dst2 + i2 * params.stride_dst1 + i1 * params.stride_dst0;
dst[dst_idx] = sum;
}