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llama.cpp/ggml/src/ggml-sycl/vecdotq.hpp
Johannes Gäßler cb5fad4c6c
CUDA: refactor and optimize IQ MMVQ (#8215) 
* CUDA: refactor and optimize IQ MMVQ

* uint -> uint32_t

* __dp4a -> ggml_cuda_dp4a

* remove MIN_CC_DP4A checks

* change default

* try CI fix
2024-07-01 20:39:06 +02:00

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//
// MIT license
// Copyright (C) 2024 Intel Corporation
// SPDX-License-Identifier: MIT
//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
#ifndef GGML_SYCL_VECDOTQ_HPP
#define GGML_SYCL_VECDOTQ_HPP
#include "dpct/helper.hpp"
typedef float (*vec_dot_q_sycl_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs);
static __dpct_inline__ int get_int_from_int8(const int8_t* x8, const int& i32) {
const uint16_t* x16 =
(const uint16_t*)(x8 + sizeof(int) * i32); // assume at least 2 byte
// alignment
int x32 = 0;
x32 |= x16[0] << 0;
x32 |= x16[1] << 16;
return x32;
}
static __dpct_inline__ int get_int_from_uint8(
const uint8_t* x8,
const int& i32) {
const uint16_t* x16 =
(const uint16_t*)(x8 + sizeof(int) * i32); // assume at least 2 byte
// alignment
int x32 = 0;
x32 |= x16[0] << 0;
x32 |= x16[1] << 16;
return x32;
}
static __dpct_inline__ int get_int_from_int8_aligned(
const int8_t* x8,
const int& i32) {
return *(
(const int*)(x8 + sizeof(int) * i32)); // assume at least 4 byte alignment
}
static __dpct_inline__ int get_int_from_uint8_aligned(
const uint8_t* x8,
const int& i32) {
return *(
(const int*)(x8 + sizeof(int) * i32)); // assume at least 4 byte alignment
}
static __dpct_inline__ void get_int_from_table_16(const uint32_t &q4,
const uint8_t *values,
int &val1, int &val2) {
uint32_t aux32; const uint8_t * q8 = (const uint8_t *)&aux32;
aux32 = q4 & 0x0f0f0f0f;
uint16_t v1 = values[q8[0]] | (values[q8[1]] << 8);
uint16_t v2 = values[q8[2]] | (values[q8[3]] << 8);
val1 = v1 | (v2 << 16);
aux32 = (q4 >> 4) & 0x0f0f0f0f;
v1 = values[q8[0]] | (values[q8[1]] << 8);
v2 = values[q8[2]] | (values[q8[3]] << 8);
val2 = v1 | (v2 << 16);
}
#define VDR_Q2_K_Q8_1_MMVQ 1
// contiguous v/x values
static __dpct_inline__ float vec_dot_q2_K_q8_1_impl_mmvq(
const int &v, const int *__restrict__ u, const uint8_t *__restrict__ scales,
const sycl::half2 &dm2, const float *__restrict__ d8) {
float sumf_d = 0.0f;
float sumf_m = 0.0f;
#pragma unroll
for (int i = 0; i < QR2_K; ++i) {
const int sc = scales[2*i];
const int vi = (v >> (2*i)) & 0x03030303;
sumf_d +=
d8[i] * (dpct::dp4a(vi, u[i], 0) * (sc & 0xF)); // SIMD dot product
// fill int with 4x m
int m = sc >> 4;
m |= m << 8;
m |= m << 16;
sumf_m += d8[i] *
dpct::dp4a(
m, u[i],
0); // multiply constant q2_K part with sum of q8_1 values
}
const sycl::float2 dm2f =
dm2.convert<float, sycl::rounding_mode::automatic>();
return dm2f.x() * sumf_d - dm2f.y() * sumf_m;
}
#define VDR_Q3_K_Q8_1_MMVQ 1
// contiguous v/x values
static __dpct_inline__ float vec_dot_q3_K_q8_1_impl_mmvq(
const int &vl, const int &vh, const int *__restrict__ u,
const uint8_t *__restrict__ scales, const int &scale_offset,
const float &d3, const float *__restrict__ d8) {
float sumf = 0.0f;
#pragma unroll
for (int i = 0; i < QR3_K; ++i) {
const int isc = scale_offset + 2*i;
const int isc_low = isc % (QK_K/32);
const int sc_shift_low = 4 * (isc / (QK_K/32));
const int sc_low = (scales[isc_low] >> sc_shift_low) & 0xF;
const int isc_high = isc % (QK_K/64);
const int sc_shift_high = 2 * (isc / (QK_K/64));
const int sc_high = ((scales[(QK_K/32) + isc_high] >> sc_shift_high) & 3) << 4;
const int sc = (sc_low | sc_high) - 32;
const int vil = (vl >> (2*i)) & 0x03030303;
const int vih = ((vh >> i) << 2) & 0x04040404;
const int vi =
dpct::vectorized_binary<sycl::char4>(vil, vih, dpct::sub_sat());
sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product
}
return d3 * sumf;
}
#define VDR_Q4_K_Q8_1_MMVQ 2
// contiguous v/x values
static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_vmmq(
const int *__restrict__ v, const int *__restrict__ u,
const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m,
const sycl::half2 &dm4, const float *__restrict__ d8) {
float sumf_d = 0.0f;
float sumf_m = 0.0f;
#pragma unroll
for (int i = 0; i < QR4_K; ++i) {
const int v0i = (v[0] >> (4*i)) & 0x0F0F0F0F;
const int v1i = (v[1] >> (4*i)) & 0x0F0F0F0F;
const int dot1 =
dpct::dp4a(v1i, u[2 * i + 1],
dpct::dp4a(v0i, u[2 * i + 0], 0)); // SIMD dot product
const int dot2 =
dpct::dp4a(0x01010101, u[2 * i + 1],
dpct::dp4a(0x01010101, u[2 * i + 0], 0)); // sum of u
sumf_d += d8[i] * (dot1 * sc[i]);
sumf_m += d8[i] * (dot2 * m[i]); // multiply constant part of q4_K with sum of q8_1 values
}
const sycl::float2 dm4f =
dm4.convert<float, sycl::rounding_mode::automatic>();
return dm4f.x() * sumf_d - dm4f.y() * sumf_m;
}
#define VDR_Q5_K_Q8_1_MMVQ 2
// contiguous v/x values
static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_vmmq(
const int *__restrict__ vl, const int *__restrict__ vh,
const int *__restrict__ u, const uint8_t *__restrict__ sc,
const uint8_t *__restrict__ m, const sycl::half2 &dm5,
const float *__restrict__ d8) {
float sumf_d = 0.0f;
float sumf_m = 0.0f;
#pragma unroll
for (int i = 0; i < QR5_K; ++i) {
const int vl0i = (vl[0] >> (4*i)) & 0x0F0F0F0F;
const int vl1i = (vl[1] >> (4*i)) & 0x0F0F0F0F;
const int vh0i = ((vh[0] >> i) << 4) & 0x10101010;
const int vh1i = ((vh[1] >> i) << 4) & 0x10101010;
const int v0i = vl0i | vh0i;
const int v1i = vl1i | vh1i;
const int dot1 =
dpct::dp4a(v0i, u[2 * i + 0],
dpct::dp4a(v1i, u[2 * i + 1], 0)); // SIMD dot product
const int dot2 =
dpct::dp4a(0x01010101, u[2 * i + 0],
dpct::dp4a(0x01010101, u[2 * i + 1], 0)); // sum of u
sumf_d += d8[i] * (dot1 * sc[i]);
sumf_m += d8[i] * (dot2 * m[i]);
}
const sycl::float2 dm5f =
dm5.convert<float, sycl::rounding_mode::automatic>();
return dm5f.x() * sumf_d - dm5f.y() * sumf_m;
}
#define VDR_Q6_K_Q8_1_MMVQ 1
// contiguous v/x values
static __dpct_inline__ float
vec_dot_q6_K_q8_1_impl_mmvq(const int &vl, const int &vh,
const int *__restrict__ u,
const int8_t *__restrict__ scales, const float &d,
const float *__restrict__ d8) {
float sumf = 0.0f;
#pragma unroll
for (int i = 0; i < QR6_K; ++i) {
const int sc = scales[4*i];
const int vil = (vl >> (4*i)) & 0x0F0F0F0F;
const int vih = ((vh >> (4*i)) << 4) & 0x30303030;
const int vi = dpct::vectorized_binary<sycl::char4>(
(vil | vih), 0x20202020, dpct::sub_sat()); // vi = (vil | vih) - 32
sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product
}
return d*sumf;
}
// VDR = vec dot ratio, how many contiguous integers each thread processes when the vec dot kernel is called
// MMVQ = mul_mat_vec_q, MMQ = mul_mat_q
#define VDR_Q4_0_Q8_1_MMVQ 2
#define VDR_Q4_0_Q8_1_MMQ 4
template <int vdr>
static __dpct_inline__ float vec_dot_q4_0_q8_1_impl(const int *v, const int *u,
const float &d4,
const sycl::half2 &ds8) {
int sumi = 0;
#pragma unroll
for (int i = 0; i < vdr; ++i) {
const int vi0 = (v[i] >> 0) & 0x0F0F0F0F;
const int vi1 = (v[i] >> 4) & 0x0F0F0F0F;
// SIMD dot product of quantized values
sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi);
sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi);
}
const sycl::float2 ds8f =
ds8.convert<float, sycl::rounding_mode::automatic>();
// second part effectively subtracts 8 from each quant value
return d4 * (sumi * ds8f.x() - (8 * vdr / QI4_0) * ds8f.y());
}
#define VDR_Q4_1_Q8_1_MMVQ 2
#define VDR_Q4_1_Q8_1_MMQ 4
template <int vdr>
static __dpct_inline__ float vec_dot_q4_1_q8_1_impl(const int *v, const int *u,
const sycl::half2 &dm4,
const sycl::half2 &ds8) {
int sumi = 0;
#pragma unroll
for (int i = 0; i < vdr; ++i) {
const int vi0 = (v[i] >> 0) & 0x0F0F0F0F;
const int vi1 = (v[i] >> 4) & 0x0F0F0F0F;
// SIMD dot product of quantized values
sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi);
sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi);
}
#ifdef GGML_SYCL_F16
const sycl::float2 tmp =
(dm4 * ds8).convert<float, sycl::rounding_mode::automatic>();
const float d4d8 = tmp.x();
const float m4s8 = tmp.y();
#else
const sycl::float2 dm4f =
dm4.convert<float, sycl::rounding_mode::automatic>();
const sycl::float2 ds8f =
ds8.convert<float, sycl::rounding_mode::automatic>();
const float d4d8 = dm4f.x() * ds8f.x();
const float m4s8 = dm4f.y() * ds8f.y();
#endif // GGML_SYCL_F16
// scale second part of sum by QI8_1/(vdr * QR4_1) to compensate for multiple threads adding it
return sumi * d4d8 + m4s8 / (QI8_1 / (vdr * QR4_1));
}
#define VDR_Q5_0_Q8_1_MMVQ 2
#define VDR_Q5_0_Q8_1_MMQ 4
template <int vdr>
static __dpct_inline__ float
vec_dot_q5_0_q8_1_impl(const int *vl, const int *vh, const int *u,
const float &d5, const sycl::half2 &ds8) {
int sumi = 0;
#pragma unroll
for (int i = 0; i < vdr; ++i) {
int vi0 = (vl[i] >> 0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits
vi0 |= (vh[i] << 4) & 0x00000010; // 0 -> 4
vi0 |= (vh[i] << 11) & 0x00001000; // 1 -> 12
vi0 |= (vh[i] << 18) & 0x00100000; // 2 -> 20
vi0 |= (vh[i] << 25) & 0x10000000; // 3 -> 28
sumi = dpct::dp4a(vi0, u[2 * i + 0],
sumi); // SIMD dot product of quantized values
int vi1 = (vl[i] >> 4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits
vi1 |= (vh[i] >> 12) & 0x00000010; // 16 -> 4
vi1 |= (vh[i] >> 5) & 0x00001000; // 17 -> 12
vi1 |= (vh[i] << 2) & 0x00100000; // 18 -> 20
vi1 |= (vh[i] << 9) & 0x10000000; // 19 -> 28
sumi = dpct::dp4a(vi1, u[2 * i + 1],
sumi); // SIMD dot product of quantized values
}
const sycl::float2 ds8f =
ds8.convert<float, sycl::rounding_mode::automatic>();
// second part effectively subtracts 16 from each quant value
return d5 * (sumi * ds8f.x() - (16 * vdr / QI5_0) * ds8f.y());
}
#define VDR_Q5_1_Q8_1_MMVQ 2
#define VDR_Q5_1_Q8_1_MMQ 4
template <int vdr>
static __dpct_inline__ float
vec_dot_q5_1_q8_1_impl(const int *vl, const int *vh, const int *u,
const sycl::half2 &dm5, const sycl::half2 &ds8) {
int sumi = 0;
#pragma unroll
for (int i = 0; i < vdr; ++i) {
int vi0 = (vl[i] >> 0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits
vi0 |= (vh[i] << 4) & 0x00000010; // 0 -> 4
vi0 |= (vh[i] << 11) & 0x00001000; // 1 -> 12
vi0 |= (vh[i] << 18) & 0x00100000; // 2 -> 20
vi0 |= (vh[i] << 25) & 0x10000000; // 3 -> 28
sumi = dpct::dp4a(vi0, u[2 * i + 0],
sumi); // SIMD dot product of quantized values
int vi1 = (vl[i] >> 4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits
vi1 |= (vh[i] >> 12) & 0x00000010; // 16 -> 4
vi1 |= (vh[i] >> 5) & 0x00001000; // 17 -> 12
vi1 |= (vh[i] << 2) & 0x00100000; // 18 -> 20
vi1 |= (vh[i] << 9) & 0x10000000; // 19 -> 28
sumi = dpct::dp4a(vi1, u[2 * i + 1],
sumi); // SIMD dot product of quantized values
}
#ifdef GGML_SYCL_F16
const sycl::float2 tmp =
(dm5 * ds8).convert<float, sycl::rounding_mode::automatic>();
const float d5d8 = tmp.x();
const float m5s8 = tmp.y();
#else
const sycl::float2 dm5f =
dm5.convert<float, sycl::rounding_mode::automatic>();
const sycl::float2 ds8f =
ds8.convert<float, sycl::rounding_mode::automatic>();
const float d5d8 = dm5f.x() * ds8f.x();
const float m5s8 = dm5f.y() * ds8f.y();
#endif // GGML_SYCL_F16
// scale second part of sum by QI5_1 / vdr to compensate for multiple threads adding it
return sumi*d5d8 + m5s8 / (QI5_1 / vdr);
}
#define VDR_Q8_0_Q8_1_MMVQ 2
#define VDR_Q8_0_Q8_1_MMQ 8
template <int vdr>
static __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int *v, const int *u,
const float &d8_0,
const float &d8_1) {
int sumi = 0;
#pragma unroll
for (int i = 0; i < vdr; ++i) {
// SIMD dot product of quantized values
sumi = dpct::dp4a(v[i], u[i], sumi);
}
return d8_0*d8_1 * sumi;
}
template <int vdr>
static __dpct_inline__ float vec_dot_q8_1_q8_1_impl(const int *v, const int *u,
const sycl::half2 &dm8,
const sycl::half2 &ds8) {
int sumi = 0;
#pragma unroll
for (int i = 0; i < vdr; ++i) {
// SIMD dot product of quantized values
sumi = dpct::dp4a(v[i], u[i], sumi);
}
#ifdef GGML_SYCL_F16
const sycl::float2 tmp =
(dm8 * ds8).convert<float, sycl::rounding_mode::automatic>();
const float d8d8 = tmp.x();
const float m8s8 = tmp.y();
#else
const sycl::float2 dm8f =
dm8.convert<float, sycl::rounding_mode::automatic>();
const sycl::float2 ds8f =
ds8.convert<float, sycl::rounding_mode::automatic>();
const float d8d8 = dm8f.x() * ds8f.x();
const float m8s8 = dm8f.y() * ds8f.y();
#endif // GGML_SYCL_F16
// scale second part of sum by QI8_1/ vdr to compensate for multiple threads adding it
return sumi*d8d8 + m8s8 / (QI8_1 / vdr);
}
static __dpct_inline__ float
vec_dot_q4_0_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq;
int v[VDR_Q4_0_Q8_1_MMVQ];
int u[2*VDR_Q4_0_Q8_1_MMVQ];
#pragma unroll
for (int i = 0; i < VDR_Q4_0_Q8_1_MMVQ; ++i) {
v[i] = get_int_from_uint8(bq4_0->qs, iqs + i);
u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_0);
}
return vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMVQ>(v, u, bq4_0->d, bq8_1->ds);
}
static __dpct_inline__ float
vec_dot_q4_1_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq;
int v[VDR_Q4_1_Q8_1_MMVQ];
int u[2*VDR_Q4_1_Q8_1_MMVQ];
#pragma unroll
for (int i = 0; i < VDR_Q4_1_Q8_1_MMVQ; ++i) {
v[i] = get_int_from_uint8_aligned(bq4_1->qs, iqs + i);
u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_1);
}
return vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMVQ>(v, u, bq4_1->dm, bq8_1->ds);
}
static __dpct_inline__ float
vec_dot_q5_0_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq;
int vl[VDR_Q5_0_Q8_1_MMVQ];
int vh[VDR_Q5_0_Q8_1_MMVQ];
int u[2*VDR_Q5_0_Q8_1_MMVQ];
#pragma unroll
for (int i = 0; i < VDR_Q5_0_Q8_1_MMVQ; ++i) {
vl[i] = get_int_from_uint8(bq5_0->qs, iqs + i);
vh[i] = get_int_from_uint8(bq5_0->qh, 0) >> (4 * (iqs + i));
u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_0);
}
return vec_dot_q5_0_q8_1_impl<VDR_Q5_0_Q8_1_MMVQ>(vl, vh, u, bq5_0->d, bq8_1->ds);
}
static __dpct_inline__ float
vec_dot_q5_1_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq;
int vl[VDR_Q5_1_Q8_1_MMVQ];
int vh[VDR_Q5_1_Q8_1_MMVQ];
int u[2*VDR_Q5_1_Q8_1_MMVQ];
#pragma unroll
for (int i = 0; i < VDR_Q5_1_Q8_1_MMVQ; ++i) {
vl[i] = get_int_from_uint8_aligned(bq5_1->qs, iqs + i);
vh[i] = get_int_from_uint8_aligned(bq5_1->qh, 0) >> (4 * (iqs + i));
u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_1);
}
return vec_dot_q5_1_q8_1_impl<VDR_Q5_1_Q8_1_MMVQ>(vl, vh, u, bq5_1->dm, bq8_1->ds);
}
static __dpct_inline__ float
vec_dot_q8_0_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq;
int v[VDR_Q8_0_Q8_1_MMVQ];
int u[VDR_Q8_0_Q8_1_MMVQ];
#pragma unroll
for (int i = 0; i < VDR_Q8_0_Q8_1_MMVQ; ++i) {
v[i] = get_int_from_int8(bq8_0->qs, iqs + i);
u[i] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
}
return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMVQ>(v, u, bq8_0->d,
bq8_1->ds[0]);
}
static __dpct_inline__ float
vec_dot_q2_K_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
const block_q2_K * bq2_K = (const block_q2_K *) vbq;
const int bq8_offset = QR2_K * (iqs / QI8_1);
const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2);
const uint8_t * scales = bq2_K->scales + scale_offset;
const int v = get_int_from_uint8_aligned(bq2_K->qs, iqs);
int u[QR2_K];
float d8[QR2_K];
#pragma unroll
for (int i = 0; i < QR2_K; ++ i) {
u[i] = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1);
d8[i] = bq8_1[bq8_offset + i].ds[0];
}
return vec_dot_q2_K_q8_1_impl_mmvq(v, u, scales, bq2_K->dm, d8);
}
static __dpct_inline__ float
vec_dot_q3_K_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
const block_q3_K * bq3_K = (const block_q3_K *) vbq;
const int bq8_offset = QR3_K * (iqs / (QI3_K/2));
const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2);
const float d = bq3_K->d;
const int vl = get_int_from_uint8(bq3_K->qs, iqs);
// invert the mask with ~ so that a 0/1 results in 4/0 being subtracted
const int vh = ~get_int_from_uint8(bq3_K->hmask, iqs % (QI3_K/2)) >> bq8_offset;
int u[QR3_K];
float d8[QR3_K];
#pragma unroll
for (int i = 0; i < QR3_K; ++i) {
u[i] = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1);
d8[i] = bq8_1[bq8_offset + i].ds[0];
}
return vec_dot_q3_K_q8_1_impl_mmvq(vl, vh, u, bq3_K->scales, scale_offset, d, d8);
}
static __dpct_inline__ float
vec_dot_q4_K_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
#ifndef GGML_QKK_64
const block_q4_K * bq4_K = (const block_q4_K *) vbq;
int v[2];
int u[2*QR4_K];
float d8[QR4_K];
// iqs is in 0,2..30. bq8_offset = iqs/4 -> bq8_offset = 0, 2, 4, 6
const int bq8_offset = QR4_K * ((iqs/2) / (QI8_1/2));
// iqs = 0....3 -> bq8_offset = 0, want q4_offset = 0, 4, 8, 12
// iqs = 4....7 -> bq8_offset = 2, want q4_offset = 32, 36, 40, 44
// iqs = 8...11 -> bq8_offset = 4, want q4_offset = 64, 68, 72, 76
// iqs = 12..15 -> bq8_offset = 6, want q4_offset = 96, 100, 104, 108
const int * q4 = (const int *)(bq4_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4));
v[0] = q4[0];
v[1] = q4[4];
const uint16_t * scales = (const uint16_t *)bq4_K->scales;
uint16_t aux[2];
const int j = bq8_offset/2;
if (j < 2) {
aux[0] = scales[j+0] & 0x3f3f;
aux[1] = scales[j+2] & 0x3f3f;
} else {
aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2);
aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2);
}
const uint8_t * sc = (const uint8_t *)aux;
const uint8_t * m = sc + 2;
for (int i = 0; i < QR4_K; ++i) {
const block_q8_1 * bq8i = bq8_1 + bq8_offset + i;
d8[i] = bq8i->ds[0];
const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4);
u[2*i+0] = q8[0];
u[2*i+1] = q8[4];
}
return vec_dot_q4_K_q8_1_impl_vmmq(v, u, sc, m, bq4_K->dm, d8);
#else
#if __SYCL_ARCH__ >= VER_4VEC // lowest compute capability for integer intrinsics
const block_q4_K * bq4_K = (const block_q4_K *) vbq;
float sumf_d = 0.0f;
float sumf_m = 0.0f;
uint16_t aux16[2];
const uint8_t * s = (const uint8_t *)aux16;
const uint16_t * a = (const uint16_t *)bq4_K->scales;
aux16[0] = a[0] & 0x0f0f;
aux16[1] = (a[0] >> 4) & 0x0f0f;
const float dall = bq4_K->dm[0];
const float dmin = bq4_K->dm[1];
const float d8_1 = bq8_1[0].ds[0];
const float d8_2 = bq8_1[1].ds[1];
const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
const int * q4 = (const int *)bq4_K->qs + (iqs/2);
const int v1 = q4[0];
const int v2 = q4[4];
const int dot1 = dpct::dp4a(ui2, v2 & 0x0f0f0f0f, dpct::dp4a(ui1, v1 & 0x0f0f0f0f, 0));
const int dot2 = dpct::dp4a(ui4, (v2 >> 4) & 0x0f0f0f0f, dpct::dp4a(ui3, (v1 >> 4) & 0x0f0f0f0f, 0));
const int dot3 = dpct::dp4a(0x01010101, ui2, dpct::dp4a(0x01010101, ui1, 0));
const int dot4 = dpct::dp4a(0x01010101, ui4, dpct::dp4a(0x01010101, ui3, 0));
sumf_d += d8_1 * (dot1 * s[0]) + d8_2 * (dot2 * s[1]);
sumf_m += d8_1 * (dot3 * s[2]) + d8_2 * (dot4 * s[3]);
return dall * sumf_d - dmin * sumf_m;
#else
bad_arch();
#endif // __SYCL_ARCH__ >= VER_4VEC
#endif
}
static __dpct_inline__ float
vec_dot_q5_K_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
#ifndef GGML_QKK_64
const block_q5_K * bq5_K = (const block_q5_K *) vbq;
int vl[2];
int vh[2];
int u[2*QR5_K];
float d8[QR5_K];
const int bq8_offset = QR5_K * ((iqs/2) / (QI8_1/2));
const int * ql = (const int *)(bq5_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4));
const int * qh = (const int *)(bq5_K->qh + 4 * ((iqs/2)%4));
vl[0] = ql[0];
vl[1] = ql[4];
vh[0] = qh[0] >> bq8_offset;
vh[1] = qh[4] >> bq8_offset;
const uint16_t * scales = (const uint16_t *)bq5_K->scales;
uint16_t aux[2];
const int j = bq8_offset/2;
if (j < 2) {
aux[0] = scales[j+0] & 0x3f3f;
aux[1] = scales[j+2] & 0x3f3f;
} else {
aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2);
aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2);
}
const uint8_t * sc = (const uint8_t *)aux;
const uint8_t * m = sc + 2;
#pragma unroll
for (int i = 0; i < QR5_K; ++i) {
const block_q8_1 * bq8i = bq8_1 + bq8_offset + i;
d8[i] = bq8i->ds[0];
const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4);
u[2*i+0] = q8[0];
u[2*i+1] = q8[4];
}
return vec_dot_q5_K_q8_1_impl_vmmq(vl, vh, u, sc, m, bq5_K->dm, d8);
#else
#if __SYCL_ARCH__ >= VER_4VEC // lowest compute capability for integer intrinsics
const block_q5_K * bq5_K = (const block_q5_K *) vbq;
const int8_t * s = bq5_K->scales;
const float d = bq5_K->d;
const float d8_1 = bq8_1[0].ds[0];
const float d8_2 = bq8_1[1].ds[1];
const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
const int * ql = (const int *)bq5_K->qs + (iqs/2);
const int vl1 = ql[0];
const int vl2 = ql[4];
const int step = 4 * (iqs/2); // 0, 4, 8, 12
const int im = step/8; // = 0 for iqs = 0, 2, = 1 for iqs = 4, 6
const int in = step%8; // 0, 4, 0, 4
const int vh = (*((const int *)(bq5_K->qh + in))) >> im;
const int v1 = (((vh << 4) & 0x10101010) ^ 0x10101010) | ((vl1 >> 0) & 0x0f0f0f0f);
const int v2 = (((vh << 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 0) & 0x0f0f0f0f);
const int v3 = (((vh >> 0) & 0x10101010) ^ 0x10101010) | ((vl1 >> 4) & 0x0f0f0f0f);
const int v4 = (((vh >> 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 4) & 0x0f0f0f0f);
const float sumf_d = d8_1 * (dpct::dp4a(ui1, v1, 0) * s[0] + dpct::dp4a(ui2, v2, 0) * s[1])
+ d8_2 * (dpct::dp4a(ui3, v3, 0) * s[2] + dpct::dp4a(ui4, v4, 0) * s[3]);
return d * sumf_d;
#else
bad_arch();
#endif // __SYCL_ARCH__ >= VER_4VEC
#endif
}
static __dpct_inline__ float
vec_dot_q6_K_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
const block_q6_K * bq6_K = (const block_q6_K *) vbq;
const int bq8_offset = 2 * QR6_K * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/4);
const int scale_offset = (QI6_K/4) * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/8);
const int vh_shift = 2 * ((iqs % (QI6_K/2)) / (QI6_K/4));
const int vl = get_int_from_uint8(bq6_K->ql, iqs);
const int vh = get_int_from_uint8(bq6_K->qh, (QI6_K/4) * (iqs / (QI6_K/2)) + iqs % (QI6_K/4)) >> vh_shift;
const int8_t * scales = bq6_K->scales + scale_offset;
int u[QR6_K];
float d8[QR6_K];
#pragma unroll
for (int i = 0; i < QR6_K; ++i) {
u[i] = get_int_from_int8_aligned(bq8_1[bq8_offset + 2*i].qs, iqs % QI8_1);
d8[i] = bq8_1[bq8_offset + 2 * i].ds[0];
}
return vec_dot_q6_K_q8_1_impl_mmvq(vl, vh, u, scales, bq6_K->d, d8);
}
static __dpct_inline__ float
vec_dot_iq2_xxs_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs,
const uint64_t *iq2xxs_grid, const uint8_t *ksigns_iq2xs,
const uint8_t *kmask_iq2xs) {
#if QK_K == 256
const block_iq2_xxs * bq2 = (const block_iq2_xxs *) vbq;
const int ib32 = iqs;
const uint16_t * q2 = bq2->qs + 4*ib32;
const uint8_t * aux8 = (const uint8_t *)q2;
const int8_t * q8 = bq8_1[ib32].qs;
uint32_t aux32 = q2[2] | (q2[3] << 16);
int sumi = 0;
for (int l = 0; l < 4; ++l) {
const uint8_t * grid = (const uint8_t *)(iq2xxs_grid + aux8[l]);
const uint8_t signs = ksigns_iq2xs[aux32 & 127];
for (int j = 0; j < 8; ++j) {
sumi += q8[j] * grid[j] * (signs & kmask_iq2xs[j] ? -1 : 1);
}
q8 += 8;
aux32 >>= 7;
}
const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.25f;
return d * sumi;
#else
assert(false);
return 0.f;
#endif
}
static __dpct_inline__ float
vec_dot_iq2_xs_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs,
const uint64_t *iq2xs_grid, const uint64_t *ksigns64) {
#if DPCT_COMPATIBILITY_TEMP >= \
MIN_CC_DP4A // lowest compute capability for integer intrinsics
#if QK_K == 256
const block_iq2_xs * bq2 = (const block_iq2_xs *) vbq;
const int ib32 = iqs;
const uint16_t * q2 = bq2->qs + 4*ib32;
const int8_t * q8 = bq8_1[ib32].qs;
const uint8_t ls1 = bq2->scales[ib32] & 0xf;
const uint8_t ls2 = bq2->scales[ib32] >> 4;
int sumi1 = 0;
for (int l = 0; l < 2; ++l) {
const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511));
const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9));
const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
grid[0] ^ signs[0], signs[0], std::minus<>());
const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
grid[1] ^ signs[1], signs[1], std::minus<>());
sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1);
sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1);
q8 += 8;
}
int sumi2 = 0;
for (int l = 2; l < 4; ++l) {
const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511));
const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9));
const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
grid[0] ^ signs[0], signs[0], std::minus<>());
const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
grid[1] ^ signs[1], signs[1], std::minus<>());
sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2);
sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2);
q8 += 8;
}
const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f;
return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2);
#else
assert(false);
return 0.f;
#endif
#else
assert(false);
return 0.f;
#endif
}
static __dpct_inline__ float
vec_dot_iq2_s_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
#if QK_K == 256
const block_iq2_s * bq2 = (const block_iq2_s *) vbq;
const int ib32 = iqs;
const int8_t * q8 = bq8_1[ib32].qs;
const uint8_t * signs = bq2->qs + QK_K/8 + 4*ib32;
const uint8_t ls1 = bq2->scales[ib32] & 0xf;
const uint8_t ls2 = bq2->scales[ib32] >> 4;
int sumi1 = 0;
for (int l = 0; l < 2; ++l) {
const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300)));
const uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201,
std::equal_to<>());
const uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201,
std::equal_to<>());
const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
grid[0] ^ signs0, signs0, std::minus<>());
const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
grid[1] ^ signs1, signs1, std::minus<>());
sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1);
sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1);
q8 += 8;
}
int sumi2 = 0;
for (int l = 2; l < 4; ++l) {
const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300)));
const uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201,
std::equal_to<>());
const uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201,
std::equal_to<>());
const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
grid[0] ^ signs0, signs0, std::minus<>());
const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
grid[1] ^ signs1, signs1, std::minus<>());
sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2);
sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2);
q8 += 8;
}
const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f;
return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2);
#else
assert(false);
#endif
}
static __dpct_inline__ float
vec_dot_iq3_xxs_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs,
const uint32_t *iq3xxs_grid, const uint64_t *ksigns64) {
#if DPCT_COMPATIBILITY_TEMP >= \
MIN_CC_DP4A // lowest compute capability for integer intrinsics
#if QK_K == 256
const block_iq3_xxs * bq2 = (const block_iq3_xxs *) vbq;
const int ib32 = iqs;
const uint8_t * q3 = bq2->qs + 8*ib32;
const uint16_t * gas = (const uint16_t *)(bq2->qs + QK_K/4) + 2*ib32;
const int8_t * q8 = bq8_1[ib32].qs;
uint32_t aux32 = gas[0] | (gas[1] << 16);
int sumi = 0;
for (int l = 0; l < 4; ++l) {
const uint32_t * grid1 = iq3xxs_grid + q3[2*l+0];
const uint32_t * grid2 = iq3xxs_grid + q3[2*l+1];
const uint32_t * signs = (const uint32_t *)(ksigns64 + (aux32 & 127));
const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
grid1[0] ^ signs[0], signs[0], std::minus<>());
const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
grid2[0] ^ signs[1], signs[1], std::minus<>());
sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi);
sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi);
q8 += 8;
aux32 >>= 7;
}
const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.5f;
return d * sumi;
#else
assert(false);
return 0.f;
#endif
#else
assert(false);
return 0.f;
#endif
}
static __dpct_inline__ float
vec_dot_iq3_s_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs,
const uint32_t *iq3s_grid) {
#if QK_K == 256
const block_iq3_s * bq2 = (const block_iq3_s *) vbq;
const int ib32 = iqs;
const uint8_t * qs = bq2->qs + 8*ib32;
const int8_t * q8 = bq8_1[ib32].qs;
int sumi = 0;
for (int l = 0; l < 4; ++l) {
const uint32_t * grid1 = iq3s_grid + (qs[2*l+0] | ((bq2->qh[ib32] << (8 - 2*l)) & 256));
const uint32_t * grid2 = iq3s_grid + (qs[2*l+1] | ((bq2->qh[ib32] << (7 - 2*l)) & 256));
uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
((bq2->signs[4 * ib32 + l] & 0xf) * 0x01010101) & 0x08040201,
0x08040201, std::equal_to<>());
uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
((bq2->signs[4 * ib32 + l] >> 4) * 0x01010101) & 0x08040201,
0x08040201, std::equal_to<>());
const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
grid1[0] ^ signs0, signs0, std::minus<>());
const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
grid2[0] ^ signs1, signs1, std::minus<>());
sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi);
sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi);
q8 += 8;
}
const float d =
(float)bq2->d *
(1 + 2 * ((bq2->scales[ib32 / 2] >> 4 * (ib32 % 2)) & 0xf)) *
bq8_1[ib32].ds[0];
return d * sumi;
#else
assert(false);
#endif
}
static __dpct_inline__ float
vec_dot_iq1_s_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs,
const uint32_t *iq1s_grid_gpu) {
#if QK_K == 256
const block_iq1_s * bq1 = (const block_iq1_s *) vbq;
const int ib32 = iqs;
int sumi = 0;
const int * q8 = (const int *)bq8_1[ib32].qs;
for (int l = 0; l < 4; ++l) {
const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[ib32] >> 3*l) & 7) << 8)));
int grid0 = grid[0] & 0x0f0f0f0f;
int grid1 = (grid[0] >> 4) & 0x0f0f0f0f;
sumi = dpct::dp4a(q8[2 * l + 1], grid1,
dpct::dp4a(q8[2 * l + 0], grid0, sumi));
}
const float delta = bq1->qh[ib32] & 0x8000 ? -1-IQ1S_DELTA : -1+IQ1S_DELTA;
const float d1q = (float)bq1->d * (2*((bq1->qh[ib32] >> 12) & 7) + 1);
const float d = d1q * bq8_1[ib32].ds[0];
const float m = d1q * bq8_1[ib32].ds[1];
return d * sumi + m * delta;
#else
assert(false);
#endif
}
static __dpct_inline__ float
vec_dot_iq1_m_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
#if QK_K == 256
const block_iq1_m * bq1 = (const block_iq1_m *) vbq;
const int ib32 = iqs;
int sumi[2] = {0, 0};
float sumf[2] = {0.f, 0.f};
const int * q8 = (const int *)bq8_1[ib32].qs;
for (int l = 0; l < 4; ++l) {
const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 7) << 8)));
int grid0 = grid[0] & 0x0f0f0f0f;
int grid1 = (grid[0] >> 4) & 0x0f0f0f0f;
sumi[l / 2] = dpct::dp4a(q8[2 * l + 1], grid1,
dpct::dp4a(q8[2 * l + 0], grid0, sumi[l / 2]));
const float delta = (bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 0x08 ? -1-IQ1M_DELTA : -1+IQ1M_DELTA;
const int sumy = dpct::dp4a(q8[2 * l + 1], 0x01010101,
dpct::dp4a(q8[2 * l + 0], 0x01010101, 0));
sumf[l/2] += delta*sumy;
}
iq1m_scale_t scale;
const uint16_t * sc = (const uint16_t *)bq1->scales;
scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
const float d = (float)scale.f16 * bq8_1[ib32].ds[0];
return d * ((sumi[0] + sumf[0]) * (2*((sc[ib32/2] >> 6*(ib32%2)) & 0x7) + 1) + (sumi[1] + sumf[1]) * (2*((sc[ib32/2] >> (6*(ib32%2)+3)) & 0x7) + 1));
#else
assert(false);
#endif
}
static __dpct_inline__ float
vec_dot_iq4_nl_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
const block_iq4_nl * bq = (const block_iq4_nl *) vbq;
const uint16_t * q4 = (const uint16_t *)bq->qs + 2*iqs;
const int32_t * q8 = (const int32_t *)bq8_1->qs + iqs;
const uint8_t * values = (const uint8_t *)kvalues_iq4nl;
int v1, v2;
int sumi1 = 0, sumi2 = 0;
for (int l = 0; l < VDR_Q4_0_Q8_1_MMVQ; ++l) {
const uint32_t aux = q4[2*l] | (q4[2*l+1] << 16);
get_int_from_table_16(aux, values, v1, v2);
sumi1 = dpct::dp4a(v1, q8[l + 0], sumi1);
sumi2 = dpct::dp4a(v2, q8[l + 4], sumi2);
}
const float d = (float)bq->d * bq8_1->ds[0];
return d * (sumi1 + sumi2);
}
static __dpct_inline__ float
vec_dot_iq4_xs_q8_1(const void *__restrict__ vbq,
const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
#if QK_K == 256
const block_iq4_xs * bq4 = (const block_iq4_xs *) vbq;
const uint8_t * values = (const uint8_t *)kvalues_iq4nl;
// iqs is 0...7
const int ib32 = iqs;
const int32_t * q8 = (const int *)bq8_1[ib32].qs;
const uint32_t * q4 = (const uint32_t *)bq4->qs + 4*ib32;
const int8_t ls = ((bq4->scales_l[ib32/2] >> 4*(ib32%2)) & 0xf) | (((bq4->scales_h >> 2*ib32) & 3) << 4);
const float d = (float)bq4->d * (ls - 32) * bq8_1[ib32].ds[0];
int v1, v2;
int sumi1 = 0, sumi2 = 0;
for (int j = 0; j < 4; ++j) {
get_int_from_table_16(q4[j], values, v1, v2);
sumi1 = dpct::dp4a(v1, q8[j + 0], sumi1);
sumi2 = dpct::dp4a(v2, q8[j + 4], sumi2);
}
return d * (sumi1 + sumi2);
#else
assert(false);
#endif
}
#endif // GGML_SYCL_VECDOTQ_HPP
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