opencl: add basic support for q4_1 (#19534)

* opencl: add q4_1 mv

* opencl: clean up

* opencl: add flattened q4_1 mv

* opencl: clean up

* opencl: add basic q4_1 mm

* opencl: fix whitespace

* opencl: add general q4_0 mm
This commit is contained in:
lhez
2026-02-12 14:52:37 -08:00
committed by GitHub
parent 338085c69e
commit 79cc0f2daf
7 changed files with 1231 additions and 4 deletions
+51
View File
@@ -46,6 +46,15 @@ struct block_q4_0
uint8_t qs[QK4_0 / 2];
};
//------------------------------------------------------------------------------
// block_q4_1
//------------------------------------------------------------------------------
struct block_q4_1 {
half d; // delta
half m; // min
uchar qs[QK4_1 / 2]; // nibbles / quants
};
//------------------------------------------------------------------------------
// block_q6_K
//------------------------------------------------------------------------------
@@ -148,6 +157,48 @@ kernel void kernel_restore_block_q4_0_noshuffle(
}
}
//------------------------------------------------------------------------------
// kernel_convert_block_q4_1
// Convert the block_q4_1 format to 2 separate arrays (AOS -> SOA).
// This kernel does not deshuffle the bits.
//------------------------------------------------------------------------------
kernel void kernel_convert_block_q4_1(
global struct block_q4_1 * src0,
global uchar * dst_q,
global half * dst_d,
global half * dst_m
) {
global struct block_q4_1 * b = (global struct block_q4_1 *) src0 + get_global_id(0);
global uchar * q = (global uchar *) dst_q + QK4_1/2*get_global_id(0);
global half * d = (global half *) dst_d + get_global_id(0);
global half * m = (global half *) dst_m + get_global_id(0);
*d = b->d;
*m = b->m;
for (int i = 0; i < QK4_1/2; ++i) {
q[i] = b->qs[i];
}
}
kernel void kernel_restore_block_q4_1(
global uchar * src_q,
global half * src_d,
global half * src_m,
global struct block_q4_1 * dst
) {
global struct block_q4_1 * b = (global struct block_q4_1 *) dst + get_global_id(0);
global uchar * q = (global uchar *) src_q + QK4_1/2*get_global_id(0);
global half * d = (global half *) src_d + get_global_id(0);
global half * m = (global half *) src_m + get_global_id(0);
b->d = *d;
b->m = *m;
for (int i = 0; i < QK4_1/2; ++i) {
b->qs[i] = q[i];
}
}
//------------------------------------------------------------------------------
// block_mxfp4
//------------------------------------------------------------------------------
@@ -0,0 +1,163 @@
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
#define LOAD_VEC_A 8
#define LOAD_VEC_B 4
#define BM 64
#define BN 64
#define BK 32
#define TM 4
#define TN 8
kernel void kernel_mul_mm_q4_0_f32_l4_lm(
global uchar4 * src0_q,
global half * src0_d,
global float4 * src1,
ulong offset1,
global float * dst,
ulong offsetd,
int ne00,
int ne01,
int ne02,
int ne11,
int ne12,
int stride_a,
int stride_b,
int stride_d,
int batch_stride_a,
int batch_stride_b,
int batch_stride_d,
int r2,
int r3
) {
src1 = (global float4*)((global char*)src1 + offset1);
dst = (global float *)((global char*)dst + offsetd);
local float buf_a[BM * BK];
local float buf_b[BN * BK];
const int batch_idx = get_global_id(2);
const int i13 = batch_idx / ne12;
const int i12 = batch_idx % ne12;
const int i03 = i13 / r3;
const int i02 = i12 / r2;
const int batch_idx_a = i03 * ne02 + i02;
const int ir = get_group_id(0);
const int ic = get_group_id(1);
const int tid = get_local_id(0);
const int th_r = tid % (BM / TM);
const int th_c = tid / (BM / TM);
const int loadr_a = get_local_id(0) % (BK / LOAD_VEC_A);
const int loadc_a = get_local_id(0) / (BK / LOAD_VEC_A);
const int loadr_b = get_local_id(0) % (BK / LOAD_VEC_B);
const int loadc_b = get_local_id(0) / (BK / LOAD_VEC_B);
const int loadstride_a = get_local_size(0) * LOAD_VEC_A / BK;
const int loadstride_b = get_local_size(0) * LOAD_VEC_B / BK;
int pos_a = (batch_idx_a * batch_stride_a + ir * BM * stride_a) / LOAD_VEC_A;
int pos_b = (batch_idx * batch_stride_b + ic * BN * stride_b) / LOAD_VEC_B;
float sums[TM * TN];
float cache_a[TM];
float cache_b[TN];
for (int i = 0; i < TM * TN; i++) {
sums[i] = 0.0f;
}
for (int block = 0; block < ne00; block += BK) {
for (int l = 0; l < BM; l += loadstride_a) {
if (ir*BM + loadc_a + l < ne01) {
int idx = pos_a + (loadc_a + l) * stride_a / LOAD_VEC_A + loadr_a;
int ib = idx / 4;
int iqs = idx % 4;
float d = (float)src0_d[ib];
global uchar4 * qs = src0_q + ib*4 + iqs;
uchar4 q = *qs;
float4 v1 = (convert_float4((uchar4)((q.s0 )&0x0F, (q.s1 )&0x0F, (q.s2 )&0x0F, (q.s3 )&0x0F)) - 8.0f)*d;
float4 v2 = (convert_float4((uchar4)((q.s0>>4)&0x0F, (q.s1>>4)&0x0F, (q.s2>>4)&0x0F, (q.s3>>4)&0x0F)) - 8.0f)*d;
buf_a[(loadr_a * 4 + 0) * BM + loadc_a + l] = v1.s0;
buf_a[(loadr_a * 4 + 1) * BM + loadc_a + l] = v1.s1;
buf_a[(loadr_a * 4 + 2) * BM + loadc_a + l] = v1.s2;
buf_a[(loadr_a * 4 + 3) * BM + loadc_a + l] = v1.s3;
buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = v2.s0;
buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = v2.s1;
buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = v2.s2;
buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = v2.s3;
} else {
buf_a[(loadr_a * 4 + 0) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 1) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 2) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 3) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = 0.0f;
}
}
for (int l = 0; l < BN; l += loadstride_b) {
if (ic*BN + loadc_b + l < ne11) {
int idx = pos_b + (loadc_b + l) * stride_b / LOAD_VEC_B + loadr_b;
buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = src1[idx].s0;
buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = src1[idx].s1;
buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = src1[idx].s2;
buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = src1[idx].s3;
} else {
buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = 0.0f;
buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = 0.0f;
buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = 0.0f;
buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = 0.0f;
}
}
barrier(CLK_LOCAL_MEM_FENCE);
pos_a += BK / LOAD_VEC_A;
pos_b += BK / LOAD_VEC_B;
for (int i = 0; i < BK; i++) {
for (int j = 0; j < TM; j++) {
cache_a[j] = buf_a[(i) * BM + th_r * TM + j];
}
for (int j = 0; j < TN; j++) {
cache_b[j] = buf_b[(i) * BN + th_c * TN + j];
}
for (int cc = 0; cc < TN; cc++) {
for (int cr = 0; cr < TM; cr++) {
const int sums_idx = cc*TM + cr;
sums[sums_idx] = mad(cache_a[cr], cache_b[cc], sums[sums_idx]);
}
}
}
barrier(CLK_LOCAL_MEM_FENCE);
}
const int dr = ir * BM + th_r * TM;
const int dc = ic * BN + th_c * TN;
const int offsets = batch_idx * batch_stride_d;
for (int cc = 0; cc < TN; cc++) {
for (int cr = 0; cr < TM; cr++) {
if (dr + cr < ne01 && dc + cc < ne11) {
dst[offsets + (dc + cc) * stride_d + dr + cr] = sums[cc * TM + cr];
}
}
}
}
@@ -0,0 +1,165 @@
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
#define LOAD_VEC_A 8
#define LOAD_VEC_B 4
#define BM 64
#define BN 64
#define BK 32
#define TM 4
#define TN 8
kernel void kernel_mul_mm_q4_1_f32_l4_lm(
global uchar4 * src0_q,
global half * src0_d,
global half * src0_m,
global float4 * src1,
ulong offset1,
global float * dst,
ulong offsetd,
int ne00,
int ne01,
int ne02,
int ne11,
int ne12,
int stride_a,
int stride_b,
int stride_d,
int batch_stride_a,
int batch_stride_b,
int batch_stride_d,
int r2,
int r3
) {
src1 = (global float4*)((global char*)src1 + offset1);
dst = (global float *)((global char*)dst + offsetd);
local float buf_a[BM * BK];
local float buf_b[BN * BK];
const int batch_idx = get_global_id(2);
const int i13 = batch_idx / ne12;
const int i12 = batch_idx % ne12;
const int i03 = i13 / r3;
const int i02 = i12 / r2;
const int batch_idx_a = i03 * ne02 + i02;
const int ir = get_group_id(0);
const int ic = get_group_id(1);
const int tid = get_local_id(0);
const int th_r = tid % (BM / TM);
const int th_c = tid / (BM / TM);
const int loadr_a = get_local_id(0) % (BK / LOAD_VEC_A);
const int loadc_a = get_local_id(0) / (BK / LOAD_VEC_A);
const int loadr_b = get_local_id(0) % (BK / LOAD_VEC_B);
const int loadc_b = get_local_id(0) / (BK / LOAD_VEC_B);
const int loadstride_a = get_local_size(0) * LOAD_VEC_A / BK;
const int loadstride_b = get_local_size(0) * LOAD_VEC_B / BK;
int pos_a = (batch_idx_a * batch_stride_a + ir * BM * stride_a) / LOAD_VEC_A;
int pos_b = (batch_idx * batch_stride_b + ic * BN * stride_b) / LOAD_VEC_B;
float sums[TM * TN];
float cache_a[TM];
float cache_b[TN];
for (int i = 0; i < TM * TN; i++) {
sums[i] = 0.0f;
}
for (int block = 0; block < ne00; block += BK) {
for (int l = 0; l < BM; l += loadstride_a) {
if (ir*BM + loadc_a + l < ne01) {
int idx = pos_a + (loadc_a + l) * stride_a / LOAD_VEC_A + loadr_a;
int ib = idx / 4;
int iqs = idx % 4;
float d = (float)src0_d[ib];
float m = (float)src0_m[ib];
global uchar4 * qs = src0_q + ib*4 + iqs;
uchar4 q = *qs;
float4 v1 = (convert_float4((uchar4)((q.s0 )&0x0F, (q.s1 )&0x0F, (q.s2 )&0x0F, (q.s3 )&0x0F)))*d + m;
float4 v2 = (convert_float4((uchar4)((q.s0>>4)&0x0F, (q.s1>>4)&0x0F, (q.s2>>4)&0x0F, (q.s3>>4)&0x0F)))*d + m;
buf_a[(loadr_a * 4 + 0) * BM + loadc_a + l] = v1.s0;
buf_a[(loadr_a * 4 + 1) * BM + loadc_a + l] = v1.s1;
buf_a[(loadr_a * 4 + 2) * BM + loadc_a + l] = v1.s2;
buf_a[(loadr_a * 4 + 3) * BM + loadc_a + l] = v1.s3;
buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = v2.s0;
buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = v2.s1;
buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = v2.s2;
buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = v2.s3;
} else {
buf_a[(loadr_a * 4 + 0) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 1) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 2) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 3) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = 0.0f;
buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = 0.0f;
}
}
for (int l = 0; l < BN; l += loadstride_b) {
if (ic*BN + loadc_b + l < ne11) {
int idx = pos_b + (loadc_b + l) * stride_b / LOAD_VEC_B + loadr_b;
buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = src1[idx].s0;
buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = src1[idx].s1;
buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = src1[idx].s2;
buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = src1[idx].s3;
} else {
buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = 0.0f;
buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = 0.0f;
buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = 0.0f;
buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = 0.0f;
}
}
barrier(CLK_LOCAL_MEM_FENCE);
pos_a += BK / LOAD_VEC_A;
pos_b += BK / LOAD_VEC_B;
for (int i = 0; i < BK; i++) {
for (int j = 0; j < TM; j++) {
cache_a[j] = buf_a[(i) * BM + th_r * TM + j];
}
for (int j = 0; j < TN; j++) {
cache_b[j] = buf_b[(i) * BN + th_c * TN + j];
}
for (int cc = 0; cc < TN; cc++) {
for (int cr = 0; cr < TM; cr++) {
const int sums_idx = cc*TM + cr;
sums[sums_idx] = mad(cache_a[cr], cache_b[cc], sums[sums_idx]);
}
}
}
barrier(CLK_LOCAL_MEM_FENCE);
}
const int dr = ir * BM + th_r * TM;
const int dc = ic * BN + th_c * TN;
const int offsets = batch_idx * batch_stride_d;
for (int cc = 0; cc < TN; cc++) {
for (int cr = 0; cr < TM; cr++) {
if (dr + cr < ne01 && dc + cc < ne11) {
dst[offsets + (dc + cc) * stride_d + dr + cr] = sums[cc * TM + cr];
}
}
}
}
@@ -0,0 +1,219 @@
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
#ifdef cl_intel_subgroups
#pragma OPENCL EXTENSION cl_intel_subgroups : enable
#else
#pragma OPENCL EXTENSION cl_khr_subgroups : enable
#endif
#ifdef cl_intel_required_subgroup_size
#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
#define INTEL_GPU 1
#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
#elif defined(cl_qcom_reqd_sub_group_size)
#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
#define ADRENO_GPU 1
#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half")))
#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
#endif
#define QK4_1 32
struct block_q4_1 {
half d; // delta
half m; // min
uchar qs[QK4_1 / 2]; // nibbles / quants
};
inline float block_q4_1_dot_y(
global const struct block_q4_1 * qb_curr,
float sumy,
float16 yl,
int il
) {
float d = qb_curr->d;
float m = qb_curr->m;
float4 acc = (float4)(0.0f, 0.0f, 0.0f, 0.0f);
global const ushort * qs = ((global const ushort *) qb_curr + 2 + il/2);
acc.s0 += yl.s0 * (qs[0] & 0x000F);
acc.s0 += yl.s1 * (qs[0] & 0x0F00);
acc.s0 += yl.s8 * (qs[0] & 0x00F0);
acc.s3 += yl.s9 * (qs[0] & 0xF000);
acc.s0 += yl.s2 * (qs[1] & 0x000F);
acc.s1 += yl.s3 * (qs[1] & 0x0F00);
acc.s2 += yl.sa * (qs[1] & 0x00F0);
acc.s3 += yl.sb * (qs[1] & 0xF000);
acc.s0 += yl.s4 * (qs[2] & 0x000F);
acc.s1 += yl.s5 * (qs[2] & 0x0F00);
acc.s2 += yl.sc * (qs[2] & 0x00F0);
acc.s3 += yl.sd * (qs[2] & 0xF000);
acc.s0 += yl.s6 * (qs[3] & 0x000F);
acc.s1 += yl.s7 * (qs[3] & 0x0F00);
acc.s2 += yl.se * (qs[3] & 0x00F0);
acc.s3 += yl.sf * (qs[3] & 0xF000);
return d * (acc.s0 + acc.s1 + acc.s2 + acc.s3) + sumy * m;
}
#undef N_DST
#undef N_SIMDGROUP
#undef N_SIMDWIDTH
#ifdef INTEL_GPU
#define N_DST 4 // each subgroup works on 4 rows
#define N_SIMDGROUP 1 // number of subgroups in a thread group
#define N_SIMDWIDTH 16 // assuming subgroup size is 16
#elif defined (ADRENO_GPU)
#define N_DST 4
#define N_SIMDGROUP 1
#define N_SIMDWIDTH 64
#endif
inline void mul_vec_q_n_f32(
global void * src0,
global float * src1,
global float * dst,
int ne00,
int ne01,
int ne02,
int ne10,
int ne12,
int ne0,
int ne1,
int r2,
int r3
) {
const ulong nb = ne00/QK4_1;
int r0 = get_group_id(0);
int r1 = get_group_id(1);
int im = get_group_id(2);
int first_row = (r0 * N_SIMDGROUP + get_sub_group_id()) * N_DST;
int i12 = im%ne12;
int i13 = im/ne12;
ulong offset0 = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
global struct block_q4_1 * x = (global struct block_q4_1 *) src0 + offset0;
global float * y = (global float *) src1 + r1*ne10 + im*ne00*ne1;
float16 yl;
float4 sumf = (float4)(0.f, 0.f, 0.f, 0.f);
int ix = get_sub_group_local_id()/2;
int il = 8*(get_sub_group_local_id()%2);
global float * yb = y + ix * QK4_1 + il;
for (int ib = ix; ib < nb; ib += N_SIMDWIDTH/2) {
float sumy = 0;
sumy += yb[0];
sumy += yb[1];
sumy += yb[2];
sumy += yb[3];
sumy += yb[4];
sumy += yb[5];
sumy += yb[6];
sumy += yb[7];
sumy += yb[16];
sumy += yb[17];
sumy += yb[18];
sumy += yb[19];
sumy += yb[20];
sumy += yb[21];
sumy += yb[22];
sumy += yb[23];
yl.s0 = yb[0];
yl.s1 = yb[1]/256.f;
yl.s2 = yb[2];
yl.s3 = yb[3]/256.f;
yl.s4 = yb[4];
yl.s5 = yb[5]/256.f;
yl.s6 = yb[6];
yl.s7 = yb[7]/256.f;
yl.s8 = yb[16]/16.f;
yl.s9 = yb[17]/4096.f;
yl.sa = yb[18]/16.f;
yl.sb = yb[19]/4096.f;
yl.sc = yb[20]/16.f;
yl.sd = yb[21]/4096.f;
yl.se = yb[22]/16.f;
yl.sf = yb[23]/4096.f;
sumf.s0 += block_q4_1_dot_y(x+ib+0*nb, sumy, yl, il);
sumf.s1 += block_q4_1_dot_y(x+ib+1*nb, sumy, yl, il);
sumf.s2 += block_q4_1_dot_y(x+ib+2*nb, sumy, yl, il);
sumf.s3 += block_q4_1_dot_y(x+ib+3*nb, sumy, yl, il);
yb += QK4_1 * (N_SIMDWIDTH/2);
}
float4 tot = (float4)(
sub_group_reduce_add(sumf.s0), sub_group_reduce_add(sumf.s1),
sub_group_reduce_add(sumf.s2), sub_group_reduce_add(sumf.s3)
);
if (get_sub_group_local_id() == 0) {
if (first_row + 0 < ne01) {
dst[r1*ne0 + im*ne0*ne1 + first_row + 0] = tot.s0;
}
if (first_row + 1 < ne01) {
dst[r1*ne0 + im*ne0*ne1 + first_row + 1] = tot.s1;
}
if (first_row + 2 < ne01) {
dst[r1*ne0 + im*ne0*ne1 + first_row + 2] = tot.s2;
}
if (first_row + 3 < ne01) {
dst[r1*ne0 + im*ne0*ne1 + first_row + 3] = tot.s3;
}
}
}
#ifdef INTEL_GPU
REQD_SUBGROUP_SIZE_16
#elif defined (ADRENO_GPU)
REQD_SUBGROUP_SIZE_64
#endif
kernel void kernel_mul_mv_q4_1_f32(
global void * src0,
ulong offset0,
global float * src1,
ulong offset1,
global float * dst,
ulong offsetd,
int ne00,
int ne01,
int ne02,
int ne10,
int ne12,
int ne0,
int ne1,
int r2,
int r3
) {
src0 = (global void*)((global char*)src0 + offset0);
src1 = (global float*)((global char*)src1 + offset1);
dst = (global float*)((global char*)dst + offsetd);
mul_vec_q_n_f32(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3);
}
@@ -0,0 +1,229 @@
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
#ifdef cl_intel_subgroups
#pragma OPENCL EXTENSION cl_intel_subgroups : enable
#else
#pragma OPENCL EXTENSION cl_khr_subgroups : enable
#endif
#ifdef cl_intel_required_subgroup_size
#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
#define INTEL_GPU 1
#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
#elif defined(cl_qcom_reqd_sub_group_size)
#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
#define ADRENO_GPU 1
#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half")))
#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
#endif
#define QK4_1 32
struct block_q4_1 {
half d; // delta
half m; // min
uchar qs[QK4_1 / 2]; // nibbles / quants
};
inline float block_q4_1_dot_y_flat(
global const uchar * x,
global const half * dh,
global const half * mh,
float sumy,
float16 yl,
int il
) {
float d = *dh;
float m = *mh;
global const ushort * qs = ((global const ushort *) x + il/2);
float4 acc = (float4)(0.0f, 0.0f, 0.0f, 0.0f);
acc.s0 += yl.s0 * (qs[0] & 0x000F);
acc.s0 += yl.s1 * (qs[0] & 0x0F00);
acc.s0 += yl.s8 * (qs[0] & 0x00F0);
acc.s3 += yl.s9 * (qs[0] & 0xF000);
acc.s0 += yl.s2 * (qs[1] & 0x000F);
acc.s1 += yl.s3 * (qs[1] & 0x0F00);
acc.s2 += yl.sa * (qs[1] & 0x00F0);
acc.s3 += yl.sb * (qs[1] & 0xF000);
acc.s0 += yl.s4 * (qs[2] & 0x000F);
acc.s1 += yl.s5 * (qs[2] & 0x0F00);
acc.s2 += yl.sc * (qs[2] & 0x00F0);
acc.s3 += yl.sd * (qs[2] & 0xF000);
acc.s0 += yl.s6 * (qs[3] & 0x000F);
acc.s1 += yl.s7 * (qs[3] & 0x0F00);
acc.s2 += yl.se * (qs[3] & 0x00F0);
acc.s3 += yl.sf * (qs[3] & 0xF000);
return d * (acc.s0 + acc.s1 + acc.s2 + acc.s3) + sumy * m;
}
#undef N_DST
#undef N_SIMDGROUP
#undef N_SIMDWIDTH
#ifdef INTEL_GPU
#define N_DST 4 // each subgroup works on 4 rows
#define N_SIMDGROUP 1 // number of subgroups in a thread group
#define N_SIMDWIDTH 16 // assuming subgroup size is 16
#elif defined (ADRENO_GPU)
#define N_DST 4
#define N_SIMDGROUP 1
#define N_SIMDWIDTH 64
#endif
inline void mul_vec_q_n_f32_flat(
global void * src0_q,
global void * src0_d,
global void * src0_m,
global float * src1,
global float * dst,
int ne00,
int ne01,
int ne02,
int ne10,
int ne12,
int ne0,
int ne1,
int r2,
int r3
) {
const ulong nb = ne00/QK4_1;
int r0 = get_group_id(0);
int r1 = get_group_id(1);
int im = get_group_id(2);
int first_row = (r0 * N_SIMDGROUP + get_sub_group_id()) * N_DST;
int i12 = im%ne12;
int i13 = im/ne12;
ulong offset0 = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
// The number of scales/mins is the same as the number of blocks.
ulong offset0_dm = (first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02));
// Each block contains QK4_1/2 uchars, hence offset for qs is as follows.
ulong offset0_q = (first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02)) * QK4_1/2;
global uchar * x = (global uchar *) src0_q + offset0_q;
global half * d = (global half *) src0_d + offset0_dm;
global half * m = (global half *) src0_m + offset0_dm;
global float * y = (global float *) src1 + r1*ne10 + im*ne00*ne1;
float16 yl;
float4 sumf = (float4)(0.f, 0.f, 0.f, 0.f);
int ix = get_sub_group_local_id()/2;
int il = 8*(get_sub_group_local_id()%2);
global float * yb = y + ix * QK4_1 + il;
for (int ib = ix; ib < nb; ib += N_SIMDWIDTH/2) {
float sumy = 0;
sumy += yb[0];
sumy += yb[1];
sumy += yb[2];
sumy += yb[3];
sumy += yb[4];
sumy += yb[5];
sumy += yb[6];
sumy += yb[7];
sumy += yb[16];
sumy += yb[17];
sumy += yb[18];
sumy += yb[19];
sumy += yb[20];
sumy += yb[21];
sumy += yb[22];
sumy += yb[23];
yl.s0 = yb[0];
yl.s1 = yb[1]/256.f;
yl.s2 = yb[2];
yl.s3 = yb[3]/256.f;
yl.s4 = yb[4];
yl.s5 = yb[5]/256.f;
yl.s6 = yb[6];
yl.s7 = yb[7]/256.f;
yl.s8 = yb[16]/16.f;
yl.s9 = yb[17]/4096.f;
yl.sa = yb[18]/16.f;
yl.sb = yb[19]/4096.f;
yl.sc = yb[20]/16.f;
yl.sd = yb[21]/4096.f;
yl.se = yb[22]/16.f;
yl.sf = yb[23]/4096.f;
sumf.s0 += block_q4_1_dot_y_flat(x + ib*QK4_1/2 + 0*nb*QK4_1/2, d + ib + 0*nb, m + ib + 0*nb, sumy, yl, il);
sumf.s1 += block_q4_1_dot_y_flat(x + ib*QK4_1/2 + 1*nb*QK4_1/2, d + ib + 1*nb, m + ib + 1*nb, sumy, yl, il);
sumf.s2 += block_q4_1_dot_y_flat(x + ib*QK4_1/2 + 2*nb*QK4_1/2, d + ib + 2*nb, m + ib + 2*nb, sumy, yl, il);
sumf.s3 += block_q4_1_dot_y_flat(x + ib*QK4_1/2 + 3*nb*QK4_1/2, d + ib + 3*nb, m + ib + 3*nb, sumy, yl, il);
yb += QK4_1 * (N_SIMDWIDTH/2);
}
float4 tot = (float4)(
sub_group_reduce_add(sumf.s0), sub_group_reduce_add(sumf.s1),
sub_group_reduce_add(sumf.s2), sub_group_reduce_add(sumf.s3)
);
if (get_sub_group_local_id() == 0) {
if (first_row + 0 < ne01) {
dst[r1*ne0 + im*ne0*ne1 + first_row + 0] = tot.s0;
}
if (first_row + 1 < ne01) {
dst[r1*ne0 + im*ne0*ne1 + first_row + 1] = tot.s1;
}
if (first_row + 2 < ne01) {
dst[r1*ne0 + im*ne0*ne1 + first_row + 2] = tot.s2;
}
if (first_row + 3 < ne01) {
dst[r1*ne0 + im*ne0*ne1 + first_row + 3] = tot.s3;
}
}
}
#ifdef INTEL_GPU
REQD_SUBGROUP_SIZE_16
#elif defined (ADRENO_GPU)
REQD_SUBGROUP_SIZE_64
#endif
kernel void kernel_mul_mv_q4_1_f32_flat(
global void * src0_q,
global void * src0_d,
global void * src0_m,
global float * src1,
ulong offset1,
global float * dst,
ulong offsetd,
int ne00,
int ne01,
int ne02,
int ne10,
int ne12,
int ne0,
int ne1,
int r2,
int r3
) {
src1 = (global float*)((global char*)src1 + offset1);
dst = (global float*)((global char*)dst + offsetd);
mul_vec_q_n_f32_flat(src0_q, src0_d, src0_m, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3);
}