ggml-webgpu: address precision issues for multimodal (#22808)

* fix(mixed-types): use f32 for precision and update the shared memory calculation logic for f32

* fix(unary): correct the gelu, gelu quick and gelu erf functions

* fix(flash-attn-tile): fix the hardcode v type

* fix(flash_attn): fix tile path

* fix: pass editorconfig and address the type conflicts

* fix: remove reduant pipeline keys

* fix: remove inline min/max group size functions and revert the flash attn path order

* fix: use clamp to avoid NaN for GELU

* fix: use the right range for exp, 80 is safer for f32 exp
This commit is contained in:
Chen Yuan
2026-05-12 07:27:04 -07:00
committed by GitHub
parent 89730c8d26
commit 239a497e5f
6 changed files with 295 additions and 186 deletions
@@ -1,12 +1,33 @@
enable f16;
enable subgroups;
#ifdef Q_F16
#define Q_TYPE f16
#else
#define Q_TYPE f32
#endif
#ifdef KV_F32
#define KV_TYPE f32
#else
#define KV_TYPE f16
#endif
#ifdef DST_F16
#define DST_TYPE f16
#else
#define DST_TYPE f32
#endif
#define HEAD_DIM_QK 64
#define HEAD_DIM_V 64
#define KV_STAGE_STRIDE 64
#define Q_TILE 4
#define KV_TILE 64
#define WG_SIZE 128
#ifndef MIN_SUBGROUP_SIZE
#define MIN_SUBGROUP_SIZE MAX_SUBGROUP_SIZE
#endif
struct Params {
offset_q: u32,
@@ -41,13 +62,13 @@ struct Params {
m1: f32,
};
@group(0) @binding(0) var<storage, read_write> Q: array<f32>;
@group(0) @binding(0) var<storage, read_write> Q: array<Q_TYPE>;
#ifdef KV_OVERLAP
@group(0) @binding(1) var<storage, read_write> K: array<vec4<f16>>;
@group(0) @binding(1) var<storage, read_write> K: array<vec4<KV_TYPE>>;
#define V K
#else
@group(0) @binding(1) var<storage, read_write> K: array<vec4<f16>>;
@group(0) @binding(2) var<storage, read_write> V: array<vec4<f16>>;
@group(0) @binding(1) var<storage, read_write> K: array<vec4<KV_TYPE>>;
@group(0) @binding(2) var<storage, read_write> V: array<vec4<KV_TYPE>>;
#endif
#if defined(MASK) && defined(SINKS)
@@ -92,17 +113,17 @@ struct Params {
#endif
#endif
@group(0) @binding(DST_BINDING) var<storage, read_write> dst: array<vec4<f32>>;
@group(0) @binding(DST_BINDING) var<storage, read_write> dst: array<vec4<DST_TYPE>>;
@group(0) @binding(PARAMS_BINDING) var<uniform> params: Params;
const FLOAT_MIN: f32 = -1.0e9;
const Q_CHUNKS: u32 = HEAD_DIM_QK / 4u;
const V_CHUNKS: u32 = HEAD_DIM_V / 4u;
const SCORE_REGS_PER_LANE: u32 = (KV_TILE + MAX_SUBGROUP_SIZE - 1u) / MAX_SUBGROUP_SIZE;
const OUT_REGS_PER_LANE: u32 = (V_CHUNKS + MAX_SUBGROUP_SIZE - 1u) / MAX_SUBGROUP_SIZE;
const SCORE_REGS_PER_LANE: u32 = (KV_TILE + MIN_SUBGROUP_SIZE - 1u) / MIN_SUBGROUP_SIZE;
const OUT_REGS_PER_LANE: u32 = (V_CHUNKS + MIN_SUBGROUP_SIZE - 1u) / MIN_SUBGROUP_SIZE;
var<workgroup> q_shmem: array<f16, Q_TILE * HEAD_DIM_QK>;
var<workgroup> kv_shmem: array<f16, KV_TILE * KV_STAGE_STRIDE>;
var<workgroup> q_shmem: array<f32, Q_TILE * HEAD_DIM_QK>;
var<workgroup> kv_shmem: array<f32, KV_TILE * KV_STAGE_STRIDE>;
var<workgroup> p_shmem: array<f32, Q_TILE * KV_TILE>;
@compute @workgroup_size(WG_SIZE)
@@ -158,10 +179,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let q_col = elem_idx % HEAD_DIM_QK;
let head_q_row = q_row_start + q_tile_row;
let global_q_row_offset = q_head_offset + head_q_row * params.stride_q1;
q_shmem[elem_idx] = f16(select(
q_shmem[elem_idx] = select(
0.0,
Q[global_q_row_offset + q_col] * params.scale,
head_q_row < params.seq_len_q));
f32(Q[global_q_row_offset + q_col]) * params.scale,
head_q_row < params.seq_len_q);
}
workgroupBarrier();
@@ -192,10 +213,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let k_vec_index = (k_head_offset + global_k_row * params.stride_k1 + chunk * 4u) >> 2u;
let k4 = K[k_vec_index];
let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u;
kv_shmem[kv_off + 0u] = k4.x;
kv_shmem[kv_off + 1u] = k4.y;
kv_shmem[kv_off + 2u] = k4.z;
kv_shmem[kv_off + 3u] = k4.w;
kv_shmem[kv_off + 0u] = f32(k4.x);
kv_shmem[kv_off + 1u] = f32(k4.y);
kv_shmem[kv_off + 2u] = f32(k4.z);
kv_shmem[kv_off + 3u] = f32(k4.w);
}
workgroupBarrier();
@@ -213,16 +234,16 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
for (var chunk = 0u; chunk < Q_CHUNKS; chunk += 1u) {
let q_off = q_base + chunk * 4u;
let qv = vec4<f32>(
f32(q_shmem[q_off + 0u]),
f32(q_shmem[q_off + 1u]),
f32(q_shmem[q_off + 2u]),
f32(q_shmem[q_off + 3u]));
q_shmem[q_off + 0u],
q_shmem[q_off + 1u],
q_shmem[q_off + 2u],
q_shmem[q_off + 3u]);
let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u;
let kv = vec4<f32>(
f32(kv_shmem[kv_off + 0u]),
f32(kv_shmem[kv_off + 1u]),
f32(kv_shmem[kv_off + 2u]),
f32(kv_shmem[kv_off + 3u]));
kv_shmem[kv_off + 0u],
kv_shmem[kv_off + 1u],
kv_shmem[kv_off + 2u],
kv_shmem[kv_off + 3u]);
dot_val += dot(qv, kv);
}
#ifdef LOGIT_SOFTCAP
@@ -264,10 +285,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let v_vec_index = (v_head_offset + global_v_row * params.stride_v1 + chunk * 4u) >> 2u;
let v4 = V[v_vec_index];
let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u;
kv_shmem[kv_off + 0u] = v4.x;
kv_shmem[kv_off + 1u] = v4.y;
kv_shmem[kv_off + 2u] = v4.z;
kv_shmem[kv_off + 3u] = v4.w;
kv_shmem[kv_off + 0u] = f32(v4.x);
kv_shmem[kv_off + 1u] = f32(v4.y);
kv_shmem[kv_off + 2u] = f32(v4.z);
kv_shmem[kv_off + 3u] = f32(v4.w);
}
workgroupBarrier();
@@ -288,10 +309,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let p = p_shmem[subgroup_p_offset + kv_local];
let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u;
let v4 = vec4<f32>(
f32(kv_shmem[kv_off + 0u]),
f32(kv_shmem[kv_off + 1u]),
f32(kv_shmem[kv_off + 2u]),
f32(kv_shmem[kv_off + 3u]));
kv_shmem[kv_off + 0u],
kv_shmem[kv_off + 1u],
kv_shmem[kv_off + 2u],
kv_shmem[kv_off + 3u]);
acc += p * v4;
}
out_regs[reg_idx] = acc;
@@ -324,7 +345,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
continue;
}
let dst_vec_index = (row_base + chunk * 4u) >> 2u;
dst[dst_vec_index] = out_regs[reg_idx] * inv_exp_sum;
dst[dst_vec_index] = vec4<DST_TYPE>(out_regs[reg_idx] * inv_exp_sum);
}
}
}
@@ -2,6 +2,12 @@ diagnostic(off, subgroup_uniformity);
enable f16;
enable subgroups;
#ifdef DST_F16
#define DST_TYPE f16
#else
#define DST_TYPE f32
#endif
// Default values
#define HEAD_DIM_V 64
#define WG_SIZE 128
@@ -17,7 +23,7 @@ struct Params {
};
@group(0) @binding(0) var<storage, read_write> tmp: array<f32>;
@group(0) @binding(1) var<storage, read_write> dst: array<vec4<f32>>;
@group(0) @binding(1) var<storage, read_write> dst: array<vec4<DST_TYPE>>;
@group(0) @binding(2) var<uniform> params: Params;
const FLOAT_MIN: f32 = -1.0e9;
@@ -72,7 +78,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
if (thread == 0u) {
let dst_vec_index = (row_base + elem_base) >> 2u;
dst[dst_vec_index] = vec4<f32>(sum_x, sum_y, sum_z, sum_w) * inv_s;
dst[dst_vec_index] = vec4<DST_TYPE>(vec4<f32>(sum_x, sum_y, sum_z, sum_w) * inv_s);
}
}
}
@@ -8,6 +8,18 @@ enable subgroups;
#define KV_TYPE f16
#endif
#ifdef Q_F16
#define Q_TYPE f16
#else
#define Q_TYPE f32
#endif
#ifdef DST_F16
#define DST_TYPE f16
#else
#define DST_TYPE f32
#endif
#define HEAD_DIM_QK 64
#define HEAD_DIM_V 64
@@ -89,7 +101,7 @@ struct Params {
nwg: u32,
};
@group(0) @binding(0) var<storage, read_write> Q: array<f32>;
@group(0) @binding(0) var<storage, read_write> Q: array<Q_TYPE>;
#ifdef KV_OVERLAP
#if defined(KV_Q4_0) || defined(KV_Q8_0)
@group(0) @binding(1) var<storage, read_write> K: array<KV_TYPE>;
@@ -191,41 +203,41 @@ struct Params {
@group(0) @binding(BLK_BINDING) var<storage, read_write> blk: array<u32>;
#endif
@group(0) @binding(TMP_BINDING) var<storage, read_write> tmp: array<f32>;
@group(0) @binding(DST_BINDING) var<storage, read_write> dst: array<vec4<f32>>;
@group(0) @binding(DST_BINDING) var<storage, read_write> dst: array<vec4<DST_TYPE>>;
@group(0) @binding(PARAMS_BINDING) var<uniform> params: Params;
// Just a very small float value.
const FLOAT_MIN: f32 = -1.0e9;
var<workgroup> q_shmem: array<f16, HEAD_DIM_QK>;
var<workgroup> q_shmem: array<f32, HEAD_DIM_QK>;
#ifndef KV_DIRECT
const kv_shmem_size = KV_TILE * max(HEAD_DIM_QK, HEAD_DIM_V);
// we can reuse the same shmem for K and V since we only need one at a time
var<workgroup> kv_shmem: array<f16, kv_shmem_size>;
var<workgroup> kv_shmem: array<f32, kv_shmem_size>;
#endif
var<workgroup> o_shmem: array<f16, HEAD_DIM_V>;
var<workgroup> o_shmem: array<f32, HEAD_DIM_V>;
#ifdef MASK
// storage for mask values
var<workgroup> mask_shmem: array<f16, KV_TILE>;
var<workgroup> mask_shmem: array<f32, KV_TILE>;
#endif
// note that we reuse the same storage for both since we only need one at a time
var<workgroup> inter_shmem: array<f16, KV_TILE>;
var<workgroup> inter_shmem: array<f32, KV_TILE>;
// Storage for row max and exp sum during online softmax
fn calc_softmax_term(kv_idx: u32, slope: f32, has_bias: bool, apply_mask: bool) -> f32 {
var v = select(FLOAT_MIN,
f32(inter_shmem[kv_idx]) * params.scale,
inter_shmem[kv_idx] * params.scale,
kv_idx < KV_TILE);
#ifdef LOGIT_SOFTCAP
v = params.logit_softcap * tanh(v);
#endif
#ifdef MASK
if (apply_mask) {
var mask_val = select(0.0, f32(mask_shmem[kv_idx]), kv_idx < KV_TILE);
var mask_val = select(0.0, mask_shmem[kv_idx], kv_idx < KV_TILE);
v += select(mask_val, slope * mask_val, has_bias);
}
#endif
@@ -289,10 +301,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
// load the single Q row into shared memory
for (var elem_idx = local_id.x; elem_idx < HEAD_DIM_QK; elem_idx += WG_SIZE) {
let global_q_row_offset = q_head_offset + q_row_start * params.stride_q1;
q_shmem[elem_idx] = f16(select(
q_shmem[elem_idx] = select(
0.0,
Q[global_q_row_offset + elem_idx],
q_row_start < params.seq_len_q));
f32(Q[global_q_row_offset + elem_idx]),
q_row_start < params.seq_len_q);
}
for (var kv_tile = iwg * KV_TILE; kv_tile < params.seq_len_kv; kv_tile += KV_TILE * params.nwg) {
@@ -308,7 +320,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let blk_state = blk_state_local;
let skip_tile = blk_state == 0u;
for (var elem_idx = local_id.x; elem_idx < KV_TILE; elem_idx += WG_SIZE) {
inter_shmem[elem_idx] = f16(0.0);
inter_shmem[elem_idx] = 0.0;
}
// load k tile into shared memory
@@ -331,8 +343,8 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let q_packed = bitcast<u32>(vec2(q_0, q_1));
for (var k = 0u; k < 4u; k++) {
let q_byte = get_byte(q_packed, k);
let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d;
let q_lo = (f16(q_byte & 0xF) - 8.0) * d;
let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * f32(d);
let q_lo = (f32(q_byte & 0xF) - 8.0) * f32(d);
let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k;
kv_shmem[row_offset + idx] = q_lo;
kv_shmem[row_offset + idx + 16u] = q_hi;
@@ -359,7 +371,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let q_packed = bitcast<u32>(vec2(q_0, q_1));
for (var k = 0u; k < 4u; k++) {
let q_byte = get_byte_i32(q_packed, k);
let q_val = f16(q_byte) * d;
let q_val = f32(q_byte) * f32(d);
let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k;
kv_shmem[row_offset + idx] = q_val;
}
@@ -377,10 +389,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let in_bounds = global_k_row < params.seq_len_kv && (k_col + 3u) < HEAD_DIM_QK;
let vec_idx = (global_k_row_offset + k_col) >> 2u;
let k4 = select(vec4<KV_TYPE>(0.0), K[vec_idx], in_bounds);
kv_shmem[elem_idx + 0u] = f16(k4.x);
kv_shmem[elem_idx + 1u] = f16(k4.y);
kv_shmem[elem_idx + 2u] = f16(k4.z);
kv_shmem[elem_idx + 3u] = f16(k4.w);
kv_shmem[elem_idx + 0u] = f32(k4.x);
kv_shmem[elem_idx + 1u] = f32(k4.y);
kv_shmem[elem_idx + 2u] = f32(k4.z);
kv_shmem[elem_idx + 3u] = f32(k4.w);
}
#endif
@@ -401,20 +413,20 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let q_off = i * 4u;
let qv = vec4<f32>(
f32(q_shmem[q_off + 0u]),
f32(q_shmem[q_off + 1u]),
f32(q_shmem[q_off + 2u]),
f32(q_shmem[q_off + 3u]));
q_shmem[q_off + 0u],
q_shmem[q_off + 1u],
q_shmem[q_off + 2u],
q_shmem[q_off + 3u]);
#ifdef KV_DIRECT
let idx = k_head_offset + (kv_tile + kv_idx) * params.stride_k1 + (i * 4u);
let kv = vec4<f32>(K[idx >> 2u]);
#else
let idx = kv_idx * HEAD_DIM_QK + (i * 4u);
let kv = vec4<f32>(
f32(kv_shmem[idx + 0u]),
f32(kv_shmem[idx + 1u]),
f32(kv_shmem[idx + 2u]),
f32(kv_shmem[idx + 3u]));
kv_shmem[idx + 0u],
kv_shmem[idx + 1u],
kv_shmem[idx + 2u],
kv_shmem[idx + 3u]);
#endif
partial_sum += dot(qv, kv);
}
@@ -435,7 +447,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let sum_bcast = subgroupShuffle(sum, num_of_threads * ty);
if (tx == 0u && kv_valid) {
inter_shmem[kv_idx] = f16(sum_bcast);
inter_shmem[kv_idx] = sum_bcast;
}
}
}
@@ -450,7 +462,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let global_k_col = kv_tile + elem_idx;
let mask_in_bounds = q_row_start < params.seq_len_q && global_k_col < params.seq_len_kv;
let mask_idx = mask_global_offset + global_k_col;
mask_shmem[elem_idx] = select(0.0, mask[mask_idx], mask_in_bounds);
mask_shmem[elem_idx] = select(0.0f, f32(mask[mask_idx]), mask_in_bounds);
}
}
#else
@@ -483,7 +495,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
kv_tile + kv_idx < params.seq_len_kv && kv_idx < KV_TILE);
total_exp_term += subgroupAdd(cur_p);
if (kv_idx < KV_TILE) {
inter_shmem[kv_idx] = f16(cur_p);
inter_shmem[kv_idx] = cur_p;
}
}
@@ -493,7 +505,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
exp_sum = exp_sum * cur_exp + total_exp_term;
for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) {
o_shmem[elem_idx] = f16(f32(o_shmem[elem_idx]) * cur_exp);
o_shmem[elem_idx] = o_shmem[elem_idx] * cur_exp;
}
}
@@ -517,8 +529,8 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let q_packed = bitcast<u32>(vec2(q_0, q_1));
for (var k = 0u; k < 4u; k++) {
let q_byte = get_byte(q_packed, k);
let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d;
let q_lo = (f16(q_byte & 0xF) - 8.0) * d;
let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * f32(d);
let q_lo = (f32(q_byte & 0xF) - 8.0) * f32(d);
let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k;
kv_shmem[row_offset + idx] = q_lo;
kv_shmem[row_offset + idx + 16u] = q_hi;
@@ -545,7 +557,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let q_packed = bitcast<u32>(vec2(q_0, q_1));
for (var k = 0u; k < 4u; k++) {
let q_byte = get_byte_i32(q_packed, k);
let q_val = f16(q_byte) * d;
let q_val = f32(q_byte) * f32(d);
let idx = block_k * BLOCK_SIZE + block_offset * 2u + j * 2u + k;
kv_shmem[row_offset + idx] = q_val;
}
@@ -563,10 +575,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
let in_bounds = global_v_row < params.seq_len_kv && (v_col + 3u) < HEAD_DIM_V;
let vec_idx = (global_v_row_offset + v_col) >> 2u;
let v4 = select(vec4<KV_TYPE>(0.0), V[vec_idx], in_bounds);
kv_shmem[elem_idx + 0u] = f16(v4.x);
kv_shmem[elem_idx + 1u] = f16(v4.y);
kv_shmem[elem_idx + 2u] = f16(v4.z);
kv_shmem[elem_idx + 3u] = f16(v4.w);
kv_shmem[elem_idx + 0u] = f32(v4.x);
kv_shmem[elem_idx + 1u] = f32(v4.y);
kv_shmem[elem_idx + 2u] = f32(v4.z);
kv_shmem[elem_idx + 3u] = f32(v4.w);
}
#endif
@@ -589,17 +601,17 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
continue;
}
let p = f32(inter_shmem[kv_idx]);
let p = inter_shmem[kv_idx];
#ifdef KV_DIRECT
let v_idx = v_head_offset + v_row * params.stride_v1 + vec_col * 4u;
let v4 = vec4<f32>(V[v_idx >> 2u]);
#else
let v_idx = kv_idx * HEAD_DIM_V + vec_col * 4u;
let v4 = vec4<f32>(
f32(kv_shmem[v_idx + 0u]),
f32(kv_shmem[v_idx + 1u]),
f32(kv_shmem[v_idx + 2u]),
f32(kv_shmem[v_idx + 3u]));
kv_shmem[v_idx + 0u],
kv_shmem[v_idx + 1u],
kv_shmem[v_idx + 2u],
kv_shmem[v_idx + 3u]);
#endif
lo += p * v4;
}
@@ -630,10 +642,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
if (ty_pv == 0u) {
let elem_base = vec_col * 4u;
o_shmem[elem_base + 0u] = f16(f32(o_shmem[elem_base + 0u]) + lo_x);
o_shmem[elem_base + 1u] = f16(f32(o_shmem[elem_base + 1u]) + lo_y);
o_shmem[elem_base + 2u] = f16(f32(o_shmem[elem_base + 2u]) + lo_z);
o_shmem[elem_base + 3u] = f16(f32(o_shmem[elem_base + 3u]) + lo_w);
o_shmem[elem_base + 0u] = o_shmem[elem_base + 0u] + lo_x;
o_shmem[elem_base + 1u] = o_shmem[elem_base + 1u] + lo_y;
o_shmem[elem_base + 2u] = o_shmem[elem_base + 2u] + lo_z;
o_shmem[elem_base + 3u] = o_shmem[elem_base + 3u] + lo_w;
}
}
}
@@ -660,7 +672,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
exp_sum = exp_sum * max_exp + sink_exp_sum;
for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) {
o_shmem[elem_idx] = f16(f32(o_shmem[elem_idx]) * max_exp);
o_shmem[elem_idx] = o_shmem[elem_idx] * max_exp;
}
}
workgroupBarrier();
@@ -681,7 +693,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
);
let dst_vec_index: u32 = (row_base + elem_base) >> 2u;
dst[dst_vec_index] = v;
dst[dst_vec_index] = vec4<DST_TYPE>(v);
}
} else {
let rid = batch_idx * rows_per_batch + head_idx * params.seq_len_q + q_row_start;
+23 -26
View File
@@ -50,10 +50,25 @@ struct Params {
@group(0) @binding(PARAMS_BINDING)
var<uniform> params: Params;
fn erf_approx(x: TYPE) -> TYPE {
let x_f32 = f32(x);
let s = select(-1.0, 1.0, x_f32 >= 0.0);
let ax = abs(x_f32);
let t = 1.0 / (1.0 + 0.3275911 * ax);
let y = 1.0 -
(((((1.061405429 * t - 1.453152027) * t + 1.421413741) * t
- 0.284496736) * t + 0.254829592) * t) *
exp(-ax * ax);
return TYPE(s * y);
}
@compute @workgroup_size(WG_SIZE)
fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
if (gid.x >= params.ne) {
return;
return;
}
var i = gid.x;
let ne2 = params.ne2;
@@ -71,15 +86,13 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
let i1 = i / ne0;
let i0 = i % ne0;
let src_idx = i0 * params.stride_src0 + i1 * params.stride_src1 +
i2 * params.stride_src2 + i3 * params.stride_src3;
let src_idx = i0 * params.stride_src0 + i1 * params.stride_src1 + i2 * params.stride_src2 + i3 * params.stride_src3;
#ifdef ABS
let res = abs(src[params.offset_src + src_idx]);
#endif
#ifdef SGN
let res = select(TYPE(select(0.0, -1.0, src[params.offset_src + src_idx] < 0.0)), TYPE(1.0),
src[params.offset_src + src_idx] > 0.0);
let res = select(TYPE(select(0.0, -1.0, src[params.offset_src + src_idx] < 0.0)), TYPE(1.0), src[params.offset_src + src_idx] > 0.0);
#endif
#ifdef NEG
let res = -src[params.offset_src + src_idx];
@@ -94,8 +107,7 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
let res = select(0.0, src[params.offset_src + src_idx], src[params.offset_src + src_idx] > 0.0);
#endif
#ifdef ELU
let res = select(exp(src[params.offset_src + src_idx]) - 1.0, src[params.offset_src + src_idx],
src[params.offset_src + src_idx] > 0.0);
let res = select(exp(src[params.offset_src + src_idx]) - 1.0, src[params.offset_src + src_idx], src[params.offset_src + src_idx] > 0.0);
#endif
#ifdef HARDSIGMOID
let res = min(1.0, max(0.0, (src[params.offset_src + src_idx] + 3.0) / 6.0));
@@ -120,31 +132,16 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
let res = TYPE(params.fill_val);
#endif
#ifdef HARDSWISH
let res = src[params.offset_src + src_idx] *
min(1.0, max(0.0, (src[params.offset_src + src_idx] + 3.0) / 6.0));
let res = src[params.offset_src + src_idx] * min(1.0, max(0.0, (src[params.offset_src + src_idx] + 3.0) / 6.0));
#endif
#ifdef GELU
let res = 0.5 * src[params.offset_src + src_idx] *
(1.0 + tanh(clamp(sqrt(2.0 / 3.14159265) *
(src[params.offset_src + src_idx] +
0.044715 * pow(src[params.offset_src + src_idx], 3.0)),
-9.010913, 9.010913)));
let res = 0.5 * src[params.offset_src + src_idx] * (1.0 + tanh(clamp(0.7978845608028654 * (src[params.offset_src + src_idx] + 0.044715 * src[params.offset_src + src_idx] * src[params.offset_src + src_idx] * src[params.offset_src + src_idx]), -9.010913, 9.010913)));
#endif
#ifdef GELU_QUICK
let res = src[params.offset_src + src_idx] * 0.5 *
(1.0 + tanh(clamp(0.79788456 *
(src[params.offset_src + src_idx] +
0.044715 * src[params.offset_src + src_idx] *
src[params.offset_src + src_idx] * src[params.offset_src + src_idx]),
-9.010913, 9.010913)));
let res = src[params.offset_src + src_idx] * (1.0 / (1.0 + exp(clamp(-1.702 * src[params.offset_src + src_idx], -80.0, 80.0))));
#endif
#ifdef GELU_ERF
let res = 0.5 * src[params.offset_src + src_idx] *
(1.0 + tanh(clamp(0.79788456 *
(src[params.offset_src + src_idx] +
0.044715 * src[params.offset_src + src_idx] *
src[params.offset_src + src_idx] * src[params.offset_src + src_idx]),
-9.010913, 9.010913)));
let res = 0.5 * src[params.offset_src + src_idx] * (1.0 + erf_approx(src[params.offset_src + src_idx] * 0.7071067811865476));
#endif
#ifdef XIELU
let val = f32(src[params.offset_src + src_idx]);