diff options
author | Kawrakow <48489457+ikawrakow@users.noreply.github.com> | 2024-07-27 07:55:01 +0200 |
---|---|---|
committer | GitHub <noreply@github.com> | 2024-07-27 07:55:01 +0200 |
commit | 154e0d75fccf1784fe9ff6fd76a630b66563da3d (patch) | |
tree | 81ce6dbb5b1900c1aa78a879f0593c694cab9d27 /ggml-sycl | |
parent | 0684c3e9c70d49323b4fc517128cbe222cab7f96 (diff) |
Merge mainline llama.cpp (#3)
* Merging mainline - WIP
* Merging mainline - WIP
AVX2 and CUDA appear to work.
CUDA performance seems slightly (~1-2%) lower as it is so often
the case with llama.cpp/ggml after some "improvements" have been made.
* Merging mainline - fix Metal
* Remove check
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'ggml-sycl')
-rw-r--r-- | ggml-sycl/backend.hpp | 23 | ||||
-rw-r--r-- | ggml-sycl/common.cpp | 53 | ||||
-rw-r--r-- | ggml-sycl/common.hpp | 298 | ||||
-rw-r--r-- | ggml-sycl/convert.cpp | 544 | ||||
-rw-r--r-- | ggml-sycl/convert.hpp | 27 | ||||
-rw-r--r-- | ggml-sycl/dequantize.hpp | 690 | ||||
-rw-r--r-- | ggml-sycl/dmmv.cpp | 1022 | ||||
-rw-r--r-- | ggml-sycl/dmmv.hpp | 27 | ||||
-rw-r--r-- | ggml-sycl/dpct/helper.hpp | 2936 | ||||
-rw-r--r-- | ggml-sycl/mmq.cpp | 3031 | ||||
-rw-r--r-- | ggml-sycl/mmq.hpp | 33 | ||||
-rw-r--r-- | ggml-sycl/mmvq.cpp | 1024 | ||||
-rw-r--r-- | ggml-sycl/mmvq.hpp | 27 | ||||
-rw-r--r-- | ggml-sycl/presets.hpp | 67 | ||||
-rw-r--r-- | ggml-sycl/vecdotq.hpp | 1161 |
15 files changed, 0 insertions, 10963 deletions
diff --git a/ggml-sycl/backend.hpp b/ggml-sycl/backend.hpp deleted file mode 100644 index 2d37e271..00000000 --- a/ggml-sycl/backend.hpp +++ /dev/null @@ -1,23 +0,0 @@ -// -// 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_BACKEND_HPP -#define GGML_SYCL_BACKEND_HPP - -#include "common.hpp" -#include "convert.hpp" -#include "dequantize.hpp" -#include "dmmv.hpp" -#include "mmq.hpp" -#include "mmvq.hpp" - -#endif // GGML_SYCL_BACKEND_HPP diff --git a/ggml-sycl/common.cpp b/ggml-sycl/common.cpp deleted file mode 100644 index e878f4f5..00000000 --- a/ggml-sycl/common.cpp +++ /dev/null @@ -1,53 +0,0 @@ -// -// 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 -// - -#include "common.hpp" - -int get_current_device_id() { - return dpct::dev_mgr::instance().current_device_id(); -} - -void* ggml_sycl_host_malloc(size_t size) try { - if (getenv("GGML_SYCL_NO_PINNED") != nullptr) { - return nullptr; - } - - void* ptr = nullptr; - // allow to use dpct::get_in_order_queue() for host malloc - dpct::err0 err = CHECK_TRY_ERROR( - ptr = (void*)sycl::malloc_host(size, dpct::get_in_order_queue())); - - if (err != 0) { - // clear the error - fprintf( - stderr, - "WARNING: failed to allocate %.2f MB of pinned memory: %s\n", - size / 1024.0 / 1024.0, - "syclGetErrorString is not supported"); - return nullptr; - } - - return ptr; -} catch (sycl::exception const& exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -void ggml_sycl_host_free(void* ptr) try { - // allow to use dpct::get_in_order_queue() for host malloc - SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, dpct::get_in_order_queue()))); -} catch (sycl::exception const& exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} diff --git a/ggml-sycl/common.hpp b/ggml-sycl/common.hpp deleted file mode 100644 index 414c37ee..00000000 --- a/ggml-sycl/common.hpp +++ /dev/null @@ -1,298 +0,0 @@ -// -// 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_COMMON_HPP -#define GGML_SYCL_COMMON_HPP - -#include <fstream> -#include <iostream> - -#include "dpct/helper.hpp" -#include "presets.hpp" - -#define GGML_COMMON_DECL_SYCL -#define GGML_COMMON_IMPL_SYCL -#include "ggml-common.h" - -void* ggml_sycl_host_malloc(size_t size); -void ggml_sycl_host_free(void* ptr); - -static int g_ggml_sycl_debug = 0; -#define GGML_SYCL_DEBUG(...) \ - do { \ - if (g_ggml_sycl_debug) \ - fprintf(stderr, __VA_ARGS__); \ - } while (0) - -#define CHECK_TRY_ERROR(expr) \ - [&]() { \ - try { \ - expr; \ - return dpct::success; \ - } catch (std::exception const& e) { \ - std::cerr << e.what() << "\nException caught at file:" << __FILE__ \ - << ", line:" << __LINE__ << ", func:" << __func__ \ - << std::endl; \ - return dpct::default_error; \ - } \ - }() - -// #define DEBUG_SYCL_MALLOC - -static int g_work_group_size = 0; -// typedef sycl::half ggml_fp16_t; - -#define __SYCL_ARCH__ DPCT_COMPATIBILITY_TEMP -#define VER_4VEC 610 // todo for hardward optimize. -#define VER_GEN9 700 // todo for hardward optimize. -#define VER_GEN12 1000000 // todo for hardward optimize. -#define VER_GEN13 (VER_GEN12 + 1030) // todo for hardward optimize. - -#define GGML_SYCL_MAX_NODES 8192 // TODO: adapt to hardwares - -// define for XMX in Intel GPU -// TODO: currently, it's not used for XMX really. -#if !defined(GGML_SYCL_FORCE_MMQ) - #define SYCL_USE_XMX -#endif - -// max batch size to use MMQ kernels when tensor cores are available -#define MMQ_MAX_BATCH_SIZE 32 - -#if defined(_MSC_VER) -#pragma warning(disable : 4244 4267) // possible loss of data -#endif - -// dmmv = dequantize_mul_mat_vec -#ifndef GGML_SYCL_DMMV_X -#define GGML_SYCL_DMMV_X 32 -#endif -#ifndef GGML_SYCL_MMV_Y -#define GGML_SYCL_MMV_Y 1 -#endif - -typedef sycl::queue *queue_ptr; - -enum ggml_sycl_backend_gpu_mode { - SYCL_UNSET_GPU_MODE = -1, - SYCL_SINGLE_GPU_MODE = 0, - SYCL_MUL_GPU_MODE -}; - -static_assert(sizeof(sycl::half) == sizeof(ggml_fp16_t), "wrong fp16 size"); - -static void crash() { - int* ptr = NULL; - *ptr = 0; -} - -[[noreturn]] static void ggml_sycl_error( - const char* stmt, - const char* func, - const char* file, - const int line, - const char* msg) { - fprintf(stderr, "SYCL error: %s: %s\n", stmt, msg); - fprintf(stderr, " in function %s at %s:%d\n", func, file, line); - GGML_ASSERT(!"SYCL error"); -} - -#define SYCL_CHECK(err) \ - do { \ - auto err_ = (err); \ - if (err_ != 0) \ - ggml_sycl_error( \ - #err, \ - __func__, \ - __FILE__, \ - __LINE__, \ - "Meet error in this line code!"); \ - } while (0) - -#if DPCT_COMPAT_RT_VERSION >= 11100 -#define GGML_SYCL_ASSUME(x) __builtin_assume(x) -#else -#define GGML_SYCL_ASSUME(x) -#endif // DPCT_COMPAT_RT_VERSION >= 11100 - -#ifdef GGML_SYCL_F16 -typedef sycl::half dfloat; // dequantize float -typedef sycl::half2 dfloat2; -#else -typedef float dfloat; // dequantize float -typedef sycl::float2 dfloat2; -#endif // GGML_SYCL_F16 - -#define MMVQ_MAX_BATCH_SIZE 8 - -static const int8_t kvalues_iq4nl[16]={-127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113}; - -static int g_all_sycl_device_count = -1; -static bool g_ggml_backend_sycl_buffer_type_initialized = false; - -static ggml_sycl_backend_gpu_mode g_ggml_sycl_backend_gpu_mode = - SYCL_UNSET_GPU_MODE; - -static void* g_scratch_buffer = nullptr; -static size_t g_scratch_size = 0; // disabled by default -static size_t g_scratch_offset = 0; - -[[noreturn]] static inline void bad_arch(const sycl::stream& stream_ct1) { - stream_ct1 << "ERROR: ggml-sycl was compiled without support for the " - "current GPU architecture.\n"; - // __trap(); - std::exit(1); - - (void)bad_arch; // suppress unused function warning -} - -int get_current_device_id(); - -inline dpct::err0 ggml_sycl_set_device(const int device) try { - - int current_device_id; - SYCL_CHECK(CHECK_TRY_ERROR(current_device_id = get_current_device_id())); - - // GGML_SYCL_DEBUG("ggml_sycl_set_device device_id=%d, - // current_device_id=%d\n", device, current_device); - if (device == current_device_id) { - return 0; - } - - return CHECK_TRY_ERROR(dpct::select_device(device)); -} catch (sycl::exception const& exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - crash(); - std::exit(1); -} - -////////////////////// - -struct ggml_sycl_device_info { - int device_count; - - struct sycl_device_info { - int cc; // compute capability - // int nsm; // number of streaming multiprocessors - // size_t smpb; // max. shared memory per block - bool vmm; // virtual memory support - size_t total_vram; - }; - - sycl_device_info devices[GGML_SYCL_MAX_DEVICES] = {}; - - std::array<float, GGML_SYCL_MAX_DEVICES> default_tensor_split = {}; -}; - -const ggml_sycl_device_info & ggml_sycl_info(); - -struct ggml_sycl_pool { - virtual ~ggml_sycl_pool() = default; - - virtual void * alloc(size_t size, size_t * actual_size) = 0; - virtual void free(void * ptr, size_t size) = 0; -}; - -template<typename T> -struct ggml_sycl_pool_alloc { - ggml_sycl_pool * pool = nullptr; - T * ptr = nullptr; - size_t actual_size = 0; - - explicit ggml_sycl_pool_alloc(ggml_sycl_pool & pool) : pool(&pool) { - } - - ggml_sycl_pool_alloc(ggml_sycl_pool & pool, size_t size) : pool(&pool) { - alloc(size); - } - - ~ggml_sycl_pool_alloc() { - if (ptr != nullptr) { - pool->free(ptr, actual_size); - } - } - - // size is in number of elements - T * alloc(size_t size) { - GGML_ASSERT(pool != nullptr); - GGML_ASSERT(ptr == nullptr); - ptr = (T *) pool->alloc(size * sizeof(T), &this->actual_size); - return ptr; - } - - T * alloc(ggml_sycl_pool & pool, size_t size) { - this->pool = &pool; - return alloc(size); - } - - T * get() { - return ptr; - } - - ggml_sycl_pool_alloc() = default; - ggml_sycl_pool_alloc(const ggml_sycl_pool_alloc &) = delete; - ggml_sycl_pool_alloc(ggml_sycl_pool_alloc &&) = delete; - ggml_sycl_pool_alloc& operator=(const ggml_sycl_pool_alloc &) = delete; - ggml_sycl_pool_alloc& operator=(ggml_sycl_pool_alloc &&) = delete; -}; - -// backend interface - -struct ggml_tensor_extra_gpu { - void* data_device[GGML_SYCL_MAX_DEVICES]; // 1 pointer for each device for split - // tensors - dpct::event_ptr events[GGML_SYCL_MAX_DEVICES] - [GGML_SYCL_MAX_STREAMS]; // events for synchronizing multiple GPUs -}; - -struct ggml_backend_sycl_context { - int device; - std::string name; - - queue_ptr qptrs[GGML_SYCL_MAX_DEVICES][GGML_SYCL_MAX_STREAMS] = { { nullptr } }; - - explicit ggml_backend_sycl_context(int device) : - device(device), - name(GGML_SYCL_NAME + std::to_string(device)) { - } - - queue_ptr stream(int device, int stream) { - if (qptrs[device][stream] == nullptr) { - qptrs[device][stream] = &(dpct::get_current_device().default_queue()); - } - return qptrs[device][stream]; - } - - queue_ptr stream() { - return stream(device, 0); - } - - // pool - std::unique_ptr<ggml_sycl_pool> pools[GGML_SYCL_MAX_DEVICES]; - - static std::unique_ptr<ggml_sycl_pool> new_pool_for_device(queue_ptr qptr, int device); - - ggml_sycl_pool & pool(int device) { - if (pools[device] == nullptr) { - pools[device] = new_pool_for_device(stream(device,0), device); - } - return *pools[device]; - } - - ggml_sycl_pool & pool() { - return pool(device); - } -}; - - -#endif // GGML_SYCL_COMMON_HPP diff --git a/ggml-sycl/convert.cpp b/ggml-sycl/convert.cpp deleted file mode 100644 index ce9de2b4..00000000 --- a/ggml-sycl/convert.cpp +++ /dev/null @@ -1,544 +0,0 @@ -#include "convert.hpp" -#include "dequantize.hpp" -#include "presets.hpp" - -template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t> -static void dequantize_block(const void * __restrict__ vx, dst_t * __restrict__ y, const int k, - const sycl::nd_item<3> &item_ct1) { - const int i = 2 * (item_ct1.get_local_range(2) * item_ct1.get_group(2) + - item_ct1.get_local_id(2)); - - if (i >= k) { - return; - } - - const int ib = i/qk; // block index - const int iqs = (i%qk)/qr; // quant index - const int iybs = i - i%qk; // y block start index - const int y_offset = qr == 1 ? 1 : qk/2; - - // dequantize - dfloat2 v; - dequantize_kernel(vx, ib, iqs, v); - - y[iybs + iqs + 0] = v.x(); - y[iybs + iqs + y_offset] = v.y(); -} - -template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t> -static void dequantize_block_sycl(const void *__restrict__ vx, - dst_t *__restrict__ y, const int k, - dpct::queue_ptr stream) { - const int num_blocks = (k + 2*SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / (2*SYCL_DEQUANTIZE_BLOCK_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - stream->parallel_for( - sycl::nd_range<3>( - sycl::range<3>(1, 1, num_blocks) * - sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE), - sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block<qk, qr, dequantize_kernel>(vx, y, k, item_ct1); - }); - } -} - -template <typename dst_t> -static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; -#if QK_K == 256 - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 64), - sycl::range<3>(1, 1, 64)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q2_K(vx, y, item_ct1); - }); - } -#else - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q2_K(vx, y, item_ct1); - }); - } - -#endif -} - -template <typename dst_t> -static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; -#if QK_K == 256 - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 64), - sycl::range<3>(1, 1, 64)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q3_K(vx, y, item_ct1); - }); - } -#else - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q3_K(vx, y, item_ct1); - }); - } -#endif -} - -template <typename dst_t> -static void dequantize_row_q4_0_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb32 = k / 32; - const int nb = (k + 255) / 256; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q4_0(vx, y, nb32, item_ct1); - }); - } -} - -template <typename dst_t> -static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb32 = k / 32; - const int nb = (k + 255) / 256; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q4_1(vx, y, nb32, item_ct1); - }); - } -} - - -template <typename dst_t> -static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q4_K(vx, y, item_ct1); - }); - } -} - -template <typename dst_t> -static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; -#if QK_K == 256 - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 64), - sycl::range<3>(1, 1, 64)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q5_K(vx, y, item_ct1); - }); - } -#else - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q5_K(vx, y, item_ct1); - }); - } - -#endif -} - -template <typename dst_t> -static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; -#if QK_K == 256 - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 64), - sycl::range<3>(1, 1, 64)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q6_K(vx, y, item_ct1); - }); - } -#else - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q6_K(vx, y, item_ct1); - }); - } - -#endif -} - -template <typename dst_t> -static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq1_s( - vx, y, item_ct1, iq1s_grid_gpu - ); - }); - }); - } -} - -template <typename dst_t> -static void dequantize_row_iq1_m_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq1_m( - vx, y, item_ct1, iq1s_grid_gpu - ); - }); - }); - } -} - -template <typename dst_t> -static void dequantize_row_iq2_xxs_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq2_xxs( - vx, y, item_ct1, iq2xxs_grid, - ksigns_iq2xs, kmask_iq2xs); - }); - }); - } -} - -template <typename dst_t> -static void dequantize_row_iq2_xs_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq2_xs( - vx, y, item_ct1, iq2xs_grid, - ksigns_iq2xs, kmask_iq2xs); - }); - }); - } -} - -template <typename dst_t> -static void dequantize_row_iq2_s_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq2_s(vx, y, item_ct1); - }); - }); - } -} - - -template <typename dst_t> -static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq3_xxs( - vx, y, item_ct1, iq3xxs_grid, - ksigns_iq2xs, kmask_iq2xs); - }); - }); - } -} - -template <typename dst_t> -static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq3_s( - vx, y, item_ct1, kmask_iq2xs, iq3s_grid); - }); - }); - } -} - -template <typename dst_t> -static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = (k + QK_K - 1) / QK_K; -#if QK_K == 64 - dequantize_row_iq4_nl_sycl(vx, y, k, stream); -#else - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq4_xs(vx, y, item_ct1); - }); - }); - } -#endif -} - -template <typename dst_t> -static void dequantize_row_iq4_nl_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { - const int nb = (k + QK_K - 1) / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq4_nl(vx, y, item_ct1); - }); - }); - } -} - -template <typename src_t, typename dst_t> -static void convert_unary(const void * __restrict__ vx, dst_t * __restrict__ y, const int k, - const sycl::nd_item<3> &item_ct1) { - const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) + - item_ct1.get_local_id(2); - - if (i >= k) { - return; - } - - const src_t * x = (src_t *) vx; - - y[i] = x[i]; -} - -template <typename src_t, typename dst_t> -static void convert_unary_sycl(const void *__restrict__ vx, - dst_t *__restrict__ y, const int k, - dpct::queue_ptr stream) { - const int num_blocks = (k + SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / SYCL_DEQUANTIZE_BLOCK_SIZE; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>( - sycl::range<3>(1, 1, num_blocks) * - sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE), - sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)), - [=](sycl::nd_item<3> item_ct1) { - convert_unary<src_t>(vx, y, k, item_ct1); - }); - } -} - -to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type) { - switch (type) { - case GGML_TYPE_Q4_0: - return dequantize_block_sycl<QK4_0, QR4_0, dequantize_q4_0>; - case GGML_TYPE_Q4_1: - return dequantize_block_sycl<QK4_1, QR4_1, dequantize_q4_1>; - case GGML_TYPE_Q5_0: - return dequantize_block_sycl<QK5_0, QR5_0, dequantize_q5_0>; - case GGML_TYPE_Q5_1: - return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>; - case GGML_TYPE_Q8_0: - return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>; - case GGML_TYPE_Q2_K: - return dequantize_row_q2_K_sycl; - case GGML_TYPE_Q3_K: - return dequantize_row_q3_K_sycl; - case GGML_TYPE_Q4_K: - return dequantize_row_q4_K_sycl; - case GGML_TYPE_Q5_K: - return dequantize_row_q5_K_sycl; - case GGML_TYPE_Q6_K: - return dequantize_row_q6_K_sycl; - case GGML_TYPE_IQ1_S: - return dequantize_row_iq1_s_sycl; - case GGML_TYPE_IQ1_M: - return dequantize_row_iq1_m_sycl; - case GGML_TYPE_IQ2_XXS: - return dequantize_row_iq2_xxs_sycl; - case GGML_TYPE_IQ2_XS: - return dequantize_row_iq2_xs_sycl; - case GGML_TYPE_IQ2_S: - return dequantize_row_iq2_s_sycl; - case GGML_TYPE_IQ3_XXS: - return dequantize_row_iq3_xxs_sycl; - case GGML_TYPE_IQ3_S: - return dequantize_row_iq3_s_sycl; - case GGML_TYPE_IQ4_XS: - return dequantize_row_iq4_xs_sycl; - case GGML_TYPE_IQ4_NL: - return dequantize_row_iq4_nl_sycl; - case GGML_TYPE_F32: - return convert_unary_sycl<float>; - default: - return nullptr; - } -} - -to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type) { - switch (type) { - case GGML_TYPE_Q4_0: - return dequantize_row_q4_0_sycl; - case GGML_TYPE_Q4_1: - return dequantize_row_q4_1_sycl; - case GGML_TYPE_Q5_0: - return dequantize_block_sycl<QK5_0, QR5_0, dequantize_q5_0>; - case GGML_TYPE_Q5_1: - return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>; - case GGML_TYPE_Q8_0: - return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>; - case GGML_TYPE_Q2_K: - return dequantize_row_q2_K_sycl; - case GGML_TYPE_Q3_K: - return dequantize_row_q3_K_sycl; - case GGML_TYPE_Q4_K: - return dequantize_row_q4_K_sycl; - case GGML_TYPE_Q5_K: - return dequantize_row_q5_K_sycl; - case GGML_TYPE_Q6_K: - return dequantize_row_q6_K_sycl; - case GGML_TYPE_IQ1_S: - return dequantize_row_iq1_s_sycl; - case GGML_TYPE_IQ1_M: - return dequantize_row_iq1_m_sycl; - case GGML_TYPE_IQ2_XXS: - return dequantize_row_iq2_xxs_sycl; - case GGML_TYPE_IQ2_XS: - return dequantize_row_iq2_xs_sycl; - case GGML_TYPE_IQ2_S: - return dequantize_row_iq2_s_sycl; - case GGML_TYPE_IQ3_XXS: - return dequantize_row_iq3_xxs_sycl; - case GGML_TYPE_IQ3_S: - return dequantize_row_iq3_s_sycl; - case GGML_TYPE_IQ4_XS: - return dequantize_row_iq4_xs_sycl; - case GGML_TYPE_IQ4_NL: - return dequantize_row_iq4_nl_sycl; - case GGML_TYPE_F16: - return convert_unary_sycl<sycl::half>; - default: - return nullptr; - } -} diff --git a/ggml-sycl/convert.hpp b/ggml-sycl/convert.hpp deleted file mode 100644 index b1f10d63..00000000 --- a/ggml-sycl/convert.hpp +++ /dev/null @@ -1,27 +0,0 @@ -// -// 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_CONVERT_HPP -#define GGML_SYCL_CONVERT_HPP - -#include "common.hpp" - -template <typename T> -using to_t_sycl_t = void (*)(const void *__restrict__ x, T *__restrict__ y, - int k, dpct::queue_ptr stream); -typedef to_t_sycl_t<float> to_fp32_sycl_t; -typedef to_t_sycl_t<sycl::half> to_fp16_sycl_t; - -to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type); -to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type); - -#endif // GGML_SYCL_CONVERT_HPP diff --git a/ggml-sycl/dequantize.hpp b/ggml-sycl/dequantize.hpp deleted file mode 100644 index b6080d83..00000000 --- a/ggml-sycl/dequantize.hpp +++ /dev/null @@ -1,690 +0,0 @@ -// -// 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_DEQUANTIZE_HPP -#define GGML_SYCL_DEQUANTIZE_HPP - -#include "common.hpp" - -typedef void (*dequantize_kernel_t)(const void * vx, const int ib, const int iqs, dfloat2 & v); - -static __dpct_inline__ void dequantize_q4_0(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q4_0 * x = (const block_q4_0 *) vx; - - const dfloat d = x[ib].d; - - const int vui = x[ib].qs[iqs]; - - v.x() = vui & 0xF; - v.y() = vui >> 4; - -#ifdef GGML_SYCL_F16 - // v = v - {8.0f, 8.0f}; - // v = v * {d, d}; - v.s0() = (v.s0() - 8.0f) * d; - v.s1() = (v.s1() - 8.0f) * d; - -#else - v.x() = (v.x() - 8.0f) * d; - v.y() = (v.y() - 8.0f) * d; -#endif // GGML_SYCL_F16 -} - -static __dpct_inline__ void dequantize_q4_1(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q4_1 * x = (const block_q4_1 *) vx; - - const dfloat d = x[ib].dm[0]; - const dfloat m = x[ib].dm[1]; - - const int vui = x[ib].qs[iqs]; - - v.x() = vui & 0xF; - v.y() = vui >> 4; - -#ifdef GGML_SYCL_F16 - // v = v * {d, d}; - // v = v + {m, m}; - v.s0() = (v.s0() * d) + m; - v.s1() = (v.s1() * d) + m; - -#else - v.x() = (v.x() * d) + m; - v.y() = (v.y() * d) + m; -#endif // GGML_SYCL_F16 -} - -static __dpct_inline__ void dequantize_q5_0(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q5_0 * x = (const block_q5_0 *) vx; - - const dfloat d = x[ib].d; - - uint32_t qh; - memcpy(&qh, x[ib].qh, sizeof(qh)); - - const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10; - const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10; - - v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0); - v.y() = ((x[ib].qs[iqs] >> 4) | xh_1); - -#ifdef GGML_SYCL_F16 - // v = v - {16.0f, 16.0f}; - // v = v * {d, d}; - v.s0() = (v.s0() - 16.0f) * d; - v.s1() = (v.s1() - 16.0f) * d; - -#else - v.x() = (v.x() - 16.0f) * d; - v.y() = (v.y() - 16.0f) * d; -#endif // GGML_SYCL_F16 -} - -static __dpct_inline__ void dequantize_q5_1(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q5_1 * x = (const block_q5_1 *) vx; - - const dfloat d = x[ib].dm[0]; - const dfloat m = x[ib].dm[1]; - - uint32_t qh; - memcpy(&qh, x[ib].qh, sizeof(qh)); - - const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10; - const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10; - - v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0); - v.y() = ((x[ib].qs[iqs] >> 4) | xh_1); - -#ifdef GGML_SYCL_F16 - // v = v * {d, d}; - // v = v + {m, m}; - v.s0() = (v.s0() * d) + m; - v.s1() = (v.s1() * d) + m; -#else - v.x() = (v.x() * d) + m; - v.y() = (v.y() * d) + m; -#endif // GGML_SYCL_F16 -} - -static __dpct_inline__ void dequantize_q8_0(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q8_0 * x = (const block_q8_0 *) vx; - - const dfloat d = x[ib].d; - - v.x() = x[ib].qs[iqs + 0]; - v.y() = x[ib].qs[iqs + 1]; - -#ifdef GGML_SYCL_F16 - // v = v * {d, d}; - v.s0() *= d; - v.s1() *= d; -#else - v.x() *= d; - v.y() *= d; -#endif // GGML_SYCL_F16 -} - -template<typename dst_t> -static void dequantize_block_q4_0(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - - // assume 32 threads - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; - const int ir = tid%8; - const int ib = 8*i + ir; - if (ib >= nb32) { - return; - } - - dst_t * y = yy + 256*i + 32*ir + 4*il; - - const block_q4_0 * x = (const block_q4_0 *)vx + ib; - const float d = sycl::vec<sycl::half, 1>(x->d) - .convert<float, sycl::rounding_mode::automatic>()[0]; - const float dm = -8*d; - - const uint8_t * q = x->qs + 4*il; - - for (int l = 0; l < 4; ++l) { - y[l+ 0] = d * (q[l] & 0xF) + dm; - y[l+16] = d * (q[l] >> 4) + dm; - } -} - -template<typename dst_t> -static void dequantize_block_q4_1(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - - // assume 32 threads - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; - const int ir = tid%8; - const int ib = 8*i + ir; - if (ib >= nb32) { - return; - } - - dst_t * y = yy + 256*i + 32*ir + 4*il; - - const block_q4_1 * x = (const block_q4_1 *)vx + ib; - const sycl::float2 d = - x->dm.convert<float, sycl::rounding_mode::automatic>(); - - const uint8_t * q = x->qs + 4*il; - - for (int l = 0; l < 4; ++l) { - y[l + 0] = d.x() * (q[l] & 0xF) + d.y(); - y[l + 16] = d.x() * (q[l] >> 4) + d.y(); - } -} - - -//================================== k-quants - -template<typename dst_t> -static void dequantize_block_q2_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - const block_q2_K * x = (const block_q2_K *) vx; - - const int tid = item_ct1.get_local_id(2); -#if QK_K == 256 - const int n = tid/32; - const int l = tid - 32*n; - const int is = 8*n + l/16; - - const uint8_t q = x[i].qs[32*n + l]; - dst_t * y = yy + i*QK_K + 128*n; - - float dall = x[i].dm[0]; - float dmin = x[i].dm[1]; - y[l+ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4); - y[l+32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 2) & 3) - dmin * (x[i].scales[is+2] >> 4); - y[l+64] = dall * (x[i].scales[is+4] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+4] >> 4); - y[l+96] = dall * (x[i].scales[is+6] & 0xF) * ((q >> 6) & 3) - dmin * (x[i].scales[is+6] >> 4); -#else - const int is = tid/16; // 0 or 1 - const int il = tid%16; // 0...15 - const uint8_t q = x[i].qs[il] >> (2*is); - dst_t * y = yy + i*QK_K + 16*is + il; - - float dall = x[i].dm[0]; - float dmin = x[i].dm[1]; - y[ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4); - y[32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+2] >> 4); -#endif - -} - -template<typename dst_t> -static void dequantize_block_q3_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - const block_q3_K * x = (const block_q3_K *) vx; - -#if QK_K == 256 - const int r = item_ct1.get_local_id(2) / 4; - const int tid = r/2; - const int is0 = r%2; - const int l0 = 16 * is0 + 4 * (item_ct1.get_local_id(2) % 4); - const int n = tid / 4; - const int j = tid - 4*n; - - uint8_t m = 1 << (4*n + j); - int is = 8*n + 2*j + is0; - int shift = 2*j; - - int8_t us = is < 4 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+8] >> 0) & 3) << 4) : - is < 8 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+4] >> 2) & 3) << 4) : - is < 12 ? (x[i].scales[is-8] >> 4) | (((x[i].scales[is+0] >> 4) & 3) << 4) : - (x[i].scales[is-8] >> 4) | (((x[i].scales[is-4] >> 6) & 3) << 4); - float d_all = x[i].d; - float dl = d_all * (us - 32); - - dst_t * y = yy + i*QK_K + 128*n + 32*j; - const uint8_t * q = x[i].qs + 32*n; - const uint8_t * hm = x[i].hmask; - - for (int l = l0; l < l0+4; ++l) y[l] = dl * ((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4)); -#else - const int tid = item_ct1.get_local_id(2); - const int is = tid/16; // 0 or 1 - const int il = tid%16; // 0...15 - const int im = il/8; // 0...1 - const int in = il%8; // 0...7 - - dst_t * y = yy + i*QK_K + 16*is + il; - - const uint8_t q = x[i].qs[il] >> (2*is); - const uint8_t h = x[i].hmask[in] >> (2*is + im); - const float d = (float)x[i].d; - - if (is == 0) { - y[ 0] = d * ((x[i].scales[0] & 0xF) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4)); - y[32] = d * ((x[i].scales[1] & 0xF) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4)); - } else { - y[ 0] = d * ((x[i].scales[0] >> 4) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4)); - y[32] = d * ((x[i].scales[1] >> 4) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4)); - } -#endif - -} - -#if QK_K == 256 -static inline void get_scale_min_k4(int j, const uint8_t * q, uint8_t & d, uint8_t & m) { - if (j < 4) { - d = q[j] & 63; m = q[j + 4] & 63; - } else { - d = (q[j+4] & 0xF) | ((q[j-4] >> 6) << 4); - m = (q[j+4] >> 4) | ((q[j-0] >> 6) << 4); - } -} -#endif - -template<typename dst_t> -static void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - const block_q4_K * x = (const block_q4_K *) vx; - - const int i = item_ct1.get_group(2); - -#if QK_K == 256 - // assume 32 threads - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; - const int ir = tid%8; - const int is = 2*il; - const int n = 4; - - dst_t * y = yy + i*QK_K + 64*il + n*ir; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint8_t * q = x[i].qs + 32*il + n*ir; - - uint8_t sc, m; - get_scale_min_k4(is + 0, x[i].scales, sc, m); - const float d1 = dall * sc; const float m1 = dmin * m; - get_scale_min_k4(is + 1, x[i].scales, sc, m); - const float d2 = dall * sc; const float m2 = dmin * m; - for (int l = 0; l < n; ++l) { - y[l + 0] = d1 * (q[l] & 0xF) - m1; - y[l +32] = d2 * (q[l] >> 4) - m2; - } -#else - const int tid = item_ct1.get_local_id(2); - const uint8_t * q = x[i].qs; - dst_t * y = yy + i*QK_K; - const float d = (float)x[i].dm[0]; - const float m = (float)x[i].dm[1]; - y[tid+ 0] = d * (x[i].scales[0] & 0xF) * (q[tid] & 0xF) - m * (x[i].scales[0] >> 4); - y[tid+32] = d * (x[i].scales[1] & 0xF) * (q[tid] >> 4) - m * (x[i].scales[1] >> 4); -#endif -} - -template<typename dst_t> -static void dequantize_block_q5_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - const block_q5_K * x = (const block_q5_K *) vx; - - const int i = item_ct1.get_group(2); - -#if QK_K == 256 - // assume 64 threads - this is very slightly better than the one below - const int tid = item_ct1.get_local_id(2); - const int il = tid/16; // il is in 0...3 - const int ir = tid%16; // ir is in 0...15 - const int is = 2*il; // is is in 0...6 - - dst_t * y = yy + i*QK_K + 64*il + 2*ir; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint8_t * ql = x[i].qs + 32*il + 2*ir; - const uint8_t * qh = x[i].qh + 2*ir; - - uint8_t sc, m; - get_scale_min_k4(is + 0, x[i].scales, sc, m); - const float d1 = dall * sc; const float m1 = dmin * m; - get_scale_min_k4(is + 1, x[i].scales, sc, m); - const float d2 = dall * sc; const float m2 = dmin * m; - - uint8_t hm = 1 << (2*il); - y[ 0] = d1 * ((ql[ 0] & 0xF) + (qh[ 0] & hm ? 16 : 0)) - m1; - y[ 1] = d1 * ((ql[ 1] & 0xF) + (qh[ 1] & hm ? 16 : 0)) - m1; - hm <<= 1; - y[32] = d2 * ((ql[ 0] >> 4) + (qh[ 0] & hm ? 16 : 0)) - m2; - y[33] = d2 * ((ql[ 1] >> 4) + (qh[ 1] & hm ? 16 : 0)) - m2; -#else - const int tid = item_ct1.get_local_id(2); - const uint8_t q = x[i].qs[tid]; - const int im = tid/8; // 0...3 - const int in = tid%8; // 0...7 - const int is = tid/16; // 0 or 1 - const uint8_t h = x[i].qh[in] >> im; - const float d = x[i].d; - dst_t * y = yy + i*QK_K + tid; - y[ 0] = d * x[i].scales[is+0] * ((q & 0xF) - ((h >> 0) & 1 ? 0 : 16)); - y[32] = d * x[i].scales[is+2] * ((q >> 4) - ((h >> 4) & 1 ? 0 : 16)); -#endif -} - -template<typename dst_t> -static void dequantize_block_q6_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - const block_q6_K * x = (const block_q6_K *) vx; - - const int i = item_ct1.get_group(2); -#if QK_K == 256 - - // assume 64 threads - this is very slightly better than the one below - const int tid = item_ct1.get_local_id(2); - const int ip = tid/32; // ip is 0 or 1 - const int il = tid - 32*ip; // 0...32 - const int is = 8*ip + il/16; - - dst_t * y = yy + i*QK_K + 128*ip + il; - - const float d = x[i].d; - - const uint8_t * ql = x[i].ql + 64*ip + il; - const uint8_t qh = x[i].qh[32*ip + il]; - const int8_t * sc = x[i].scales + is; - - y[ 0] = d * sc[0] * ((int8_t)((ql[ 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32); - y[32] = d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32); - y[64] = d * sc[4] * ((int8_t)((ql[ 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32); - y[96] = d * sc[6] * ((int8_t)((ql[32] >> 4) | (((qh >> 6) & 3) << 4)) - 32); -#else - - // assume 32 threads - const int tid = item_ct1.get_local_id(2); - const int ip = tid/16; // 0 or 1 - const int il = tid - 16*ip; // 0...15 - - dst_t * y = yy + i*QK_K + 16*ip + il; - - const float d = x[i].d; - - const uint8_t ql = x[i].ql[16*ip + il]; - const uint8_t qh = x[i].qh[il] >> (2*ip); - const int8_t * sc = x[i].scales; - - y[ 0] = d * sc[ip+0] * ((int8_t)((ql & 0xF) | (((qh >> 0) & 3) << 4)) - 32); - y[32] = d * sc[ip+2] * ((int8_t)((ql >> 4) | (((qh >> 4) & 3) << 4)) - 32); -#endif -} - -template<typename dst_t> -static void dequantize_block_iq2_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint64_t *iq2xxs_grid_ptr, - const uint8_t *ksigns_iq2xs_ptr, - const uint8_t *kmask_iq2xs_ptr) { - - const int i = item_ct1.get_group(2); - const block_iq2_xxs * x = (const block_iq2_xxs *) vx; - - const int tid = item_ct1.get_local_id(2); -#if QK_K == 256 - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint16_t * q2 = x[i].qs + 4*ib; - const uint8_t * aux8 = (const uint8_t *)q2; - const uint8_t * grid = (const uint8_t *)(iq2xxs_grid_ptr + aux8[il]); - const uint32_t aux32 = q2[2] | (q2[3] << 16); - const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.25f; - const uint8_t signs = ksigns_iq2xs_ptr[(aux32 >> 7*il) & 127]; - for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs_ptr[j] ? -1.f : 1.f); -#else - assert(false); -#endif - -} - -template<typename dst_t> -static void dequantize_block_iq2_xs(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint64_t *iq2xs_grid, - const uint8_t *ksigns_iq2xs, - const uint8_t *kmask_iq2xs) { - - const int i = item_ct1.get_group(2); - const block_iq2_xs * x = (const block_iq2_xs *) vx; - - const int tid = item_ct1.get_local_id(2); -#if QK_K == 256 - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint16_t * q2 = x[i].qs + 4*ib; - const uint8_t * grid = (const uint8_t *)(iq2xs_grid + (q2[il] & 511)); - const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f; - const uint8_t signs = ksigns_iq2xs[q2[il] >> 9]; - for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f); -#else - assert(false); -#endif - -} - -template <typename dst_t> -__dpct_inline__ static void -dequantize_block_iq2_s(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - const block_iq2_s * x = (const block_iq2_s *) vx; - - const int tid = item_ct1.get_local_id(2); -#if QK_K == 256 - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint8_t * grid = (const uint8_t *)(iq2s_grid + (x[i].qs[4*ib+il] | ((x[i].qh[ib] << (8-2*il)) & 0x300))); - const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f; - const uint8_t signs = x[i].qs[QK_K/8+4*ib+il]; -#pragma unroll - for (int j = 0; j < 8; ++j) - y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f); -#else - assert(false); - -#endif - -} - -template<typename dst_t> -static void dequantize_block_iq3_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint32_t *iq3xxs_grid, - const uint8_t *ksigns_iq2xs, - const uint8_t *kmask_iq2xs) { - - const int i = item_ct1.get_group(2); - const block_iq3_xxs * x = (const block_iq3_xxs *) vx; - - const int tid = item_ct1.get_local_id(2); -#if QK_K == 256 - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint8_t * q3 = x[i].qs + 8*ib; - const uint16_t * gas = (const uint16_t *)(x[i].qs + QK_K/4) + 2*ib; - const uint8_t * grid1 = (const uint8_t *)(iq3xxs_grid + q3[2*il+0]); - const uint8_t * grid2 = (const uint8_t *)(iq3xxs_grid + q3[2*il+1]); - const uint32_t aux32 = gas[0] | (gas[1] << 16); - const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.5f; - const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*il) & 127]; - for (int j = 0; j < 4; ++j) { - y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f); - y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f); - } -#else - assert(false); -#endif - -} - -template <typename dst_t> -__dpct_inline__ static void -dequantize_block_iq3_s(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint8_t *kmask_iq2xs, const uint32_t *iq3s_grid) { - - const int i = item_ct1.get_group(2); - const block_iq3_s * x = (const block_iq3_s *) vx; - - const int tid = item_ct1.get_local_id(2); -#if QK_K == 256 - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint8_t * qs = x[i].qs + 8*ib; - const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + (qs[2*il+0] | ((x[i].qh[ib] << (8-2*il)) & 256))); - const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + (qs[2*il+1] | ((x[i].qh[ib] << (7-2*il)) & 256))); - const float d = (float)x[i].d * (1 + 2*((x[i].scales[ib/2] >> 4*(ib%2)) & 0xf)); - const uint8_t signs = x[i].signs[4*ib + il]; -#pragma unroll - for (int j = 0; j < 4; ++j) { - y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f); - y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f); - } -#else - assert(false); -#endif - -} - -template <typename dst_t> -__dpct_inline__ static void -dequantize_block_iq1_s(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint32_t *iq1s_grid_gpu) { - - const int i = item_ct1.get_group(2); - const block_iq1_s * x = (const block_iq1_s *) vx; - - const int tid = item_ct1.get_local_id(2); -#if QK_K == 256 - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const float delta = x[i].qh[ib] & 0x8000 ? -1 - IQ1S_DELTA : -1 + IQ1S_DELTA; - const float d = (float)x[i].d * (2*((x[i].qh[ib] >> 12) & 7) + 1); - uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32; - grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[ib] >> 3*il) & 7) << 8)]; - grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f; - grid32[0] &= 0x0f0f0f0f; -#pragma unroll - for (int j = 0; j < 8; ++j) { - y[j] = d * (q[j] + delta); - } -#else - assert(false); -#endif - -} - -template <typename dst_t> -__dpct_inline__ static void -dequantize_block_iq1_m(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint32_t *iq1s_grid_gpu) { - - const int i = item_ct1.get_group(2); - const block_iq1_m * x = (const block_iq1_m *) vx; - - const int tid = item_ct1.get_local_id(2); -#if QK_K == 256 - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint16_t * sc = (const uint16_t *)x[i].scales; - iq1m_scale_t scale; - scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000); - const int ib16 = 2*ib + il/2; // sc[ib16/4] >> 3*(ib16%4) -> sc[ib/2] >> 3*((2*ib+il/2)%4); - const float d = (float)scale.f16 * (2*((sc[ib16/4] >> 3*(ib16%4)) & 0x7) + 1); - const float delta = x[i].qh[2*ib+il/2] & (0x08 << 4*(il%2)) ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA; - uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32; - grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[2*ib+il/2] >> 4*(il%2)) & 7) << 8)]; - grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f; - grid32[0] &= 0x0f0f0f0f; -#pragma unroll - for (int j = 0; j < 8; ++j) { - y[j] = d * (q[j] + delta); - } -#else - assert(false); -#endif - -} - -template <typename dst_t> -__dpct_inline__ static void -dequantize_block_iq4_nl(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - const block_iq4_nl * x = (const block_iq4_nl *) vx + i*(QK_K/QK4_NL); - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 4*il; - const uint8_t * q4 = x[ib].qs + 4*il; - const float d = (float)x[ib].d; -#pragma unroll - for (int j = 0; j < 4; ++j) { - y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf]; - y[j+16] = d * kvalues_iq4nl[q4[j] >> 4]; - } - -} - - -template <typename dst_t> -__dpct_inline__ static void -dequantize_block_iq4_xs(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - const int i = item_ct1.get_group(2); - const block_iq4_xs * x = (const block_iq4_xs *)vx; - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 4*il; - const uint8_t * q4 = x[i].qs + 16*ib + 4*il; - const float d = (float)x[i].d * ((((x[i].scales_l[ib/2] >> 4*(ib%2)) & 0xf) | (((x[i].scales_h >> 2*ib) & 3) << 4)) - 32); -#pragma unroll - for (int j = 0; j < 4; ++j) { - y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf]; - y[j+16] = d * kvalues_iq4nl[q4[j] >> 4]; - } -} - - -#endif // GGML_SYCL_DEQUANTIZE_HPP diff --git a/ggml-sycl/dmmv.cpp b/ggml-sycl/dmmv.cpp deleted file mode 100644 index 3a87d3ef..00000000 --- a/ggml-sycl/dmmv.cpp +++ /dev/null @@ -1,1022 +0,0 @@ -#include "convert.hpp" -#include "dmmv.hpp" -#include "dequantize.hpp" -#include "presets.hpp" - -static void convert_f16(const void * vx, const int ib, const int iqs, dfloat2 & v){ - const sycl::half *x = (const sycl::half *)vx; - - // automatic half -> float type cast if dfloat == float - v.x() = x[ib + iqs + 0]; - v.y() = x[ib + iqs + 1]; -} - -static void convert_f32(const void * vx, const int ib, const int iqs, dfloat2 & v){ - const float * x = (const float *) vx; - - // automatic half -> float type cast if dfloat == float - v.x() = x[ib + iqs + 0]; - v.y() = x[ib + iqs + 1]; -} - -template <int qk, int qr, dequantize_kernel_t dequantize_kernel> -static void dequantize_mul_mat_vec(const void * __restrict__ vx, const dfloat * __restrict__ y, float * __restrict__ dst, const int ncols, const int nrows, - const sycl::nd_item<3> &item_ct1) { - // qk = quantized weights per x block - // qr = number of quantized weights per data value in x block - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int tid = item_ct1.get_local_id(2); - - const int iter_stride = 2*GGML_SYCL_DMMV_X; - const int vals_per_iter = iter_stride / WARP_SIZE; // num quantized vals per thread and i iter - const int y_offset = qr == 1 ? 1 : qk/2; - -// partial sum for each thread -#ifdef GGML_SYCL_F16 - sycl::half2 tmp = {0.0f, 0.0f}; // two sums for f16 to take advantage of half2 intrinsics -#else - float tmp = 0.0f; -#endif // GGML_SYCL_F16 - - for (int i = 0; i < ncols; i += iter_stride) { - const int col = i + vals_per_iter*tid; - const int ib = (row*ncols + col)/qk; // x block index - const int iqs = (col%qk)/qr; // x quant index - const int iybs = col - col%qk; // y block start index - -// processing >2 values per i iter is faster for fast GPUs -#pragma unroll - for (int j = 0; j < vals_per_iter; j += 2) { - // process 2 vals per j iter - - // dequantize - // for qr = 2 the iqs needs to increase by 1 per j iter because 2 weights per data val - dfloat2 v; - dequantize_kernel(vx, ib, iqs + j/qr, v); - - // matrix multiplication - // for qr = 2 the y index needs to increase by 1 per j iter because of y_offset = qk/2 -#ifdef GGML_SYCL_F16 - dfloat2 t1{y[iybs + iqs + j / qr + 0], - y[iybs + iqs + j / qr + y_offset]}; - - tmp += v * t1; -#else - tmp += v.x() * y[iybs + iqs + j / qr + 0]; - tmp += v.y() * y[iybs + iqs + j / qr + y_offset]; -#endif // GGML_SYCL_F16 - } - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (tid == 0) { -#ifdef GGML_SYCL_F16 - dst[row] = tmp.x() + tmp.y(); -#else - dst[row] = tmp; -#endif // GGML_SYCL_F16 - } -} - -static void convert_mul_mat_vec_f16_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec<1, 1, convert_f16>(vx, y, dst, ncols, - nrows, item_ct1); - }); - } -} - -/* -DPCT1110:4: The total declared local variable size in device function -dequantize_mul_mat_vec_q2_k exceeds 128 bytes and may cause high register -pressure. Consult with your hardware vendor to find the total register size -available and adjust the code, or use smaller sub-group size to avoid high -register pressure. -*/ -static void dequantize_mul_mat_vec_q2_k(const void *__restrict__ vx, - const float *__restrict__ yy, - float *__restrict__ dst, - const int ncols, int nrows, - const sycl::nd_item<3> &item_ct1) { - - static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION"); - - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - if (row > nrows) return; - - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q2_K * x = (const block_q2_K *)vx + ib0; - - float tmp = 0; // partial sum for thread in warp - -#if QK_K == 256 - const int tid = - item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...15 - const int ix = - item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1 - - const int step = 16/K_QUANTS_PER_ITERATION; - - const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const int in = tid - step*im; // 0...15 or 0...7 - - const int l0 = K_QUANTS_PER_ITERATION*in; // 0...15 or 0...14 in steps of 2 - const int q_offset = 32*im + l0; - const int s_offset = 8*im; - const int y_offset = 128*im + l0; - - uint32_t aux[4]; - const uint8_t * d = (const uint8_t *)aux; - const uint8_t * m = (const uint8_t *)(aux + 2); - - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - - const float * y = yy + i * QK_K + y_offset; - const uint8_t * q = x[i].qs + q_offset; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint32_t * a = (const uint32_t *)(x[i].scales + s_offset); - aux[0] = a[0] & 0x0f0f0f0f; - aux[1] = a[1] & 0x0f0f0f0f; - aux[2] = (a[0] >> 4) & 0x0f0f0f0f; - aux[3] = (a[1] >> 4) & 0x0f0f0f0f; - - float sum1 = 0, sum2 = 0; - for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - sum1 += y[l+ 0] * d[0] * ((q[l+ 0] >> 0) & 3) - + y[l+32] * d[2] * ((q[l+ 0] >> 2) & 3) - + y[l+64] * d[4] * ((q[l+ 0] >> 4) & 3) - + y[l+96] * d[6] * ((q[l+ 0] >> 6) & 3) - + y[l+16] * d[1] * ((q[l+16] >> 0) & 3) - + y[l+48] * d[3] * ((q[l+16] >> 2) & 3) - + y[l+80] * d[5] * ((q[l+16] >> 4) & 3) - +y[l+112] * d[7] * ((q[l+16] >> 6) & 3); - sum2 += y[l+ 0] * m[0] + y[l+32] * m[2] + y[l+64] * m[4] + y[ l+96] * m[6] - + y[l+16] * m[1] + y[l+48] * m[3] + y[l+80] * m[5] + y[l+112] * m[7]; - - } - tmp += dall * sum1 - dmin * sum2; - - } -#else - const int tid = item_ct1.get_local_id(2) / - (2 * K_QUANTS_PER_ITERATION); // 0...15 or 0...7 - const int ix = item_ct1.get_local_id(2) % - (2 * K_QUANTS_PER_ITERATION); // 0....1 or 0...3 - const int offset = tid * K_QUANTS_PER_ITERATION; - - uint32_t uaux[2]; - const uint8_t * d = (const uint8_t *)uaux; - - - for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { - - const float * y = yy + i * QK_K + offset; - const uint8_t * q = x[i].qs + offset; - const uint32_t * s = (const uint32_t *)x[i].scales; - - uaux[0] = s[0] & 0x0f0f0f0f; - uaux[1] = (s[0] >> 4) & 0x0f0f0f0f; - - const sycl::float2 dall = - x[i].dm.convert<float, sycl::rounding_mode::automatic>(); - - float sum1 = 0, sum2 = 0; - for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - const uint8_t ql = q[l]; - sum1 += y[l+ 0] * d[0] * ((ql >> 0) & 3) - + y[l+16] * d[1] * ((ql >> 2) & 3) - + y[l+32] * d[2] * ((ql >> 4) & 3) - + y[l+48] * d[3] * ((ql >> 6) & 3); - sum2 += y[l+0] * d[4] + y[l+16] * d[5] + y[l+32] * d[6] + y[l+48] * d[7]; - } - tmp += dall.x() * sum1 - dall.y() * sum2; - } - -#endif - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -/* -DPCT1110:5: The total declared local variable size in device function -dequantize_mul_mat_vec_q3_k exceeds 128 bytes and may cause high register -pressure. Consult with your hardware vendor to find the total register size -available and adjust the code, or use smaller sub-group size to avoid high -register pressure. -*/ -static void dequantize_mul_mat_vec_q3_k(const void *__restrict__ vx, - const float *__restrict__ yy, - float *__restrict__ dst, - const int ncols, int nrows, - const sycl::nd_item<3> &item_ct1) { - - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - if (row > nrows) return; - - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q3_K * x = (const block_q3_K *)vx + ib0; - - float tmp = 0; // partial sum for thread in warp - -#if QK_K == 256 - - const uint16_t kmask1 = 0x0303; - const uint16_t kmask2 = 0x0f0f; - - const int tid = - item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const int ix = - item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1 - - const int n = K_QUANTS_PER_ITERATION; // iterations in the inner loop - const int step = 16/K_QUANTS_PER_ITERATION; - const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const int in = tid - step*im; // 0....15 or 0...7 - - const uint8_t m = 1 << (4*im); - - const int l0 = n*in; // 0...15 or 0...14 in steps of 2 - const int q_offset = 32*im + l0; - const int y_offset = 128*im + l0; - - uint16_t utmp[4]; - const int8_t * s = (const int8_t *)utmp; - - const uint16_t s_shift = 4*im; - - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - - const float * y = yy + i * QK_K + y_offset; - const uint8_t * q = x[i].qs + q_offset; - const uint8_t * h = x[i].hmask + l0; - - const uint16_t * a = (const uint16_t *)x[i].scales; - utmp[0] = ((a[0] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 0)) & kmask1) << 4); - utmp[1] = ((a[1] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 0)) & kmask1) << 4); - utmp[2] = ((a[2] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 2)) & kmask1) << 4); - utmp[3] = ((a[3] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 2)) & kmask1) << 4); - - const float d = x[i].d; - - float sum = 0; - for (int l = 0; l < n; ++l) { - sum += y[l+ 0] * (s[0] - 32) * (((q[l] >> 0) & 3) - (h[l] & (m << 0) ? 0 : 4)) - + y[l+32] * (s[2] - 32) * (((q[l] >> 2) & 3) - (h[l] & (m << 1) ? 0 : 4)) - + y[l+64] * (s[4] - 32) * (((q[l] >> 4) & 3) - (h[l] & (m << 2) ? 0 : 4)) - + y[l+96] * (s[6] - 32) * (((q[l] >> 6) & 3) - (h[l] & (m << 3) ? 0 : 4)); - sum += y[l+16] * (s[1] - 32) * (((q[l+16] >> 0) & 3) - (h[l+16] & (m << 0) ? 0 : 4)) - + y[l+48] * (s[3] - 32) * (((q[l+16] >> 2) & 3) - (h[l+16] & (m << 1) ? 0 : 4)) - + y[l+80] * (s[5] - 32) * (((q[l+16] >> 4) & 3) - (h[l+16] & (m << 2) ? 0 : 4)) - + y[l+112] * (s[7] - 32) * (((q[l+16] >> 6) & 3) - (h[l+16] & (m << 3) ? 0 : 4)); - } - tmp += d * sum; - - } -#else - - const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION); // 0...15 or 0...7 - const int ix = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION); // 0....1 or 0...3 - const int offset = tid * K_QUANTS_PER_ITERATION; // 0...15 or 0...14 - const int in = offset/8; // 0 or 1 - const int im = offset%8; // 0...7 - - for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { - - const float * y = yy + i * QK_K + offset; - const uint8_t * q = x[i].qs + offset; - const uint8_t * s = x[i].scales; - - const float dall = (float)x[i].d; - - float sum = 0; - for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - const uint8_t hl = x[i].hmask[im+l] >> in; - const uint8_t ql = q[l]; - sum += y[l+ 0] * dall * ((s[0] & 0xF) - 8) * ((int8_t)((ql >> 0) & 3) - ((hl >> 0) & 1 ? 0 : 4)) - + y[l+16] * dall * ((s[0] >> 4) - 8) * ((int8_t)((ql >> 2) & 3) - ((hl >> 2) & 1 ? 0 : 4)) - + y[l+32] * dall * ((s[1] & 0xF) - 8) * ((int8_t)((ql >> 4) & 3) - ((hl >> 4) & 1 ? 0 : 4)) - + y[l+48] * dall * ((s[1] >> 4) - 8) * ((int8_t)((ql >> 6) & 3) - ((hl >> 6) & 1 ? 0 : 4)); - } - tmp += sum; - } -#endif - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -/* -DPCT1110:6: The total declared local variable size in device function -dequantize_mul_mat_vec_q4_k exceeds 128 bytes and may cause high register -pressure. Consult with your hardware vendor to find the total register size -available and adjust the code, or use smaller sub-group size to avoid high -register pressure. -*/ -static void dequantize_mul_mat_vec_q4_k(const void *__restrict__ vx, - const float *__restrict__ yy, - float *__restrict__ dst, - const int ncols, int nrows, - const sycl::nd_item<3> &item_ct1) { - - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - if (row > nrows) return; - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q4_K * x = (const block_q4_K *)vx + ib0; - -#if QK_K == 256 - const uint16_t kmask1 = 0x3f3f; - const uint16_t kmask2 = 0x0f0f; - const uint16_t kmask3 = 0xc0c0; - - const int tid = - item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const int ix = - item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1 - - const int step = 8/K_QUANTS_PER_ITERATION; // 8 or 4 - - const int il = tid/step; // 0...3 - const int ir = tid - step*il; // 0...7 or 0...3 - const int n = 2 * K_QUANTS_PER_ITERATION; // 2 or 4 - - const int im = il/2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 - const int in = il%2; - - const int l0 = n*(2*ir + in); - const int q_offset = 32*im + l0; - const int y_offset = 64*im + l0; - - uint16_t aux[4]; - const uint8_t * sc = (const uint8_t *)aux; - -#if K_QUANTS_PER_ITERATION == 2 - uint32_t q32[4]; - const uint8_t * q4 = (const uint8_t *)q32; -#else - uint16_t q16[4]; - const uint8_t * q4 = (const uint8_t *)q16; -#endif - - float tmp = 0; // partial sum for thread in warp - - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - - const float * y1 = yy + i*QK_K + y_offset; - const float * y2 = y1 + 128; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint16_t * a = (const uint16_t *)x[i].scales; - aux[0] = a[im+0] & kmask1; - aux[1] = a[im+2] & kmask1; - aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2); - aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2); - -#if K_QUANTS_PER_ITERATION == 2 - const uint32_t * q1 = (const uint32_t *)(x[i].qs + q_offset); - const uint32_t * q2 = q1 + 16; - - q32[0] = q1[0] & 0x0f0f0f0f; - q32[1] = q1[0] & 0xf0f0f0f0; - q32[2] = q2[0] & 0x0f0f0f0f; - q32[3] = q2[0] & 0xf0f0f0f0; - - sycl::float4 s = {0.f, 0.f, 0.f, 0.f}; - float smin = 0; - for (int l = 0; l < 4; ++l) { - s.x() += y1[l] * q4[l + 0]; s.y() += y1[l + 32] * q4[l + 4]; - s.z() += y2[l] * q4[l + 8]; s.w() += y2[l + 32] * q4[l + 12]; - smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7]; - } - tmp += dall * (s.x() * sc[0] + s.y() * sc[1] * 1.f / 16.f + - s.z() * sc[4] + s.w() * sc[5] * 1.f / 16.f) - - dmin * smin; -#else - const uint16_t * q1 = (const uint16_t *)(x[i].qs + q_offset); - const uint16_t * q2 = q1 + 32; - - q16[0] = q1[0] & 0x0f0f; - q16[1] = q1[0] & 0xf0f0; - q16[2] = q2[0] & 0x0f0f; - q16[3] = q2[0] & 0xf0f0; - - float4 s = {0.f, 0.f, 0.f, 0.f}; - float smin = 0; - for (int l = 0; l < 2; ++l) { - s.x += y1[l] * q4[l+0]; s.y += y1[l+32] * q4[l+2]; - s.z += y2[l] * q4[l+4]; s.w += y2[l+32] * q4[l+6]; - smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7]; - } - tmp += dall * (s.x * sc[0] + s.y * sc[1] * 1.f/16.f + s.z * sc[4] + s.w * sc[5] * 1.f/16.f) - dmin * smin; -#endif - - } -#else - const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION); // 0...15 - const int ix = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION); - - const int step = tid * K_QUANTS_PER_ITERATION; - - uint16_t aux16[2]; - const uint8_t * s = (const uint8_t *)aux16; - - float tmp = 0; - - for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { - const uint8_t * q = x[i].qs + step; - const float * y = yy + i*QK_K + step; - const uint16_t * a = (const uint16_t *)x[i].scales; - aux16[0] = a[0] & 0x0f0f; - aux16[1] = (a[0] >> 4) & 0x0f0f; - const float d = (float)x[i].dm[0]; - const float m = (float)x[i].dm[1]; - float sum = 0.f; - for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) { - sum += y[j+ 0] * (d * s[0] * (q[j+ 0] & 0xF) - m * s[2]) - + y[j+16] * (d * s[0] * (q[j+16] & 0xF) - m * s[2]) - + y[j+32] * (d * s[1] * (q[j+ 0] >> 4) - m * s[3]) - + y[j+48] * (d * s[1] * (q[j+16] >> 4) - m * s[3]); - } - tmp += sum; - } - -#endif - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (tid == 0) { - dst[row] = tmp; - } -} - -/* -DPCT1110:7: The total declared local variable size in device function -dequantize_mul_mat_vec_q5_k exceeds 128 bytes and may cause high register -pressure. Consult with your hardware vendor to find the total register size -available and adjust the code, or use smaller sub-group size to avoid high -register pressure. -*/ -static void dequantize_mul_mat_vec_q5_k(const void *__restrict__ vx, - const float *__restrict__ yy, - float *__restrict__ dst, - const int ncols, - const sycl::nd_item<3> &item_ct1) { - - const int row = item_ct1.get_group(2); - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q5_K * x = (const block_q5_K *)vx + ib0; - - float tmp = 0; // partial sum for thread in warp - -#if QK_K == 256 - const uint16_t kmask1 = 0x3f3f; - const uint16_t kmask2 = 0x0f0f; - const uint16_t kmask3 = 0xc0c0; - - const int tid = item_ct1.get_local_id(2) / 2; // 0...15 - const int ix = item_ct1.get_local_id(2) % 2; - - const int il = tid/4; // 0...3 - const int ir = tid - 4*il;// 0...3 - const int n = 2; - - const int im = il/2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 - const int in = il%2; - - const int l0 = n*(2*ir + in); - const int q_offset = 32*im + l0; - const int y_offset = 64*im + l0; - - const uint8_t hm1 = 1 << (2*im); - const uint8_t hm2 = hm1 << 4; - - uint16_t aux[4]; - const uint8_t * sc = (const uint8_t *)aux; - - uint16_t q16[8]; - const uint8_t * q4 = (const uint8_t *)q16; - - for (int i = ix; i < num_blocks_per_row; i += 2) { - - const uint8_t * ql1 = x[i].qs + q_offset; - const uint8_t * qh = x[i].qh + l0; - const float * y1 = yy + i*QK_K + y_offset; - const float * y2 = y1 + 128; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint16_t * a = (const uint16_t *)x[i].scales; - aux[0] = a[im+0] & kmask1; - aux[1] = a[im+2] & kmask1; - aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2); - aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2); - - sycl::float4 sum = {0.f, 0.f, 0.f, 0.f}; - float smin = 0; - const uint16_t * q1 = (const uint16_t *)ql1; - const uint16_t * q2 = q1 + 32; - q16[0] = q1[0] & 0x0f0f; - q16[1] = q1[8] & 0x0f0f; - q16[2] = (q1[0] >> 4) & 0x0f0f; - q16[3] = (q1[8] >> 4) & 0x0f0f; - q16[4] = q2[0] & 0x0f0f; - q16[5] = q2[8] & 0x0f0f; - q16[6] = (q2[0] >> 4) & 0x0f0f; - q16[7] = (q2[8] >> 4) & 0x0f0f; - for (int l = 0; l < n; ++l) { - sum.x() += - y1[l + 0] * (q4[l + 0] + (qh[l + 0] & (hm1 << 0) ? 16 : 0)) + - y1[l + 16] * (q4[l + 2] + (qh[l + 16] & (hm1 << 0) ? 16 : 0)); - sum.y() += - y1[l + 32] * (q4[l + 4] + (qh[l + 0] & (hm1 << 1) ? 16 : 0)) + - y1[l + 48] * (q4[l + 6] + (qh[l + 16] & (hm1 << 1) ? 16 : 0)); - sum.z() += - y2[l + 0] * (q4[l + 8] + (qh[l + 0] & (hm2 << 0) ? 16 : 0)) + - y2[l + 16] * (q4[l + 10] + (qh[l + 16] & (hm2 << 0) ? 16 : 0)); - sum.w() += - y2[l + 32] * (q4[l + 12] + (qh[l + 0] & (hm2 << 1) ? 16 : 0)) + - y2[l + 48] * (q4[l + 14] + (qh[l + 16] & (hm2 << 1) ? 16 : 0)); - smin += (y1[l] + y1[l+16]) * sc[2] + (y1[l+32] + y1[l+48]) * sc[3] - + (y2[l] + y2[l+16]) * sc[6] + (y2[l+32] + y2[l+48]) * sc[7]; - } - tmp += dall * (sum.x() * sc[0] + sum.y() * sc[1] + sum.z() * sc[4] + - sum.w() * sc[5]) - - dmin * smin; - } - -#else - const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION); // 0...15 - const int ix = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION); - const int step = tid * K_QUANTS_PER_ITERATION; - const int im = step/8; - const int in = step%8; - - for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { - const uint8_t * q = x[i].qs + step; - const int8_t * s = x[i].scales; - const float * y = yy + i*QK_K + step; - const float d = x[i].d; - float sum = 0.f; - for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) { - const uint8_t h = x[i].qh[in+j] >> im; - sum += y[j+ 0] * d * s[0] * ((q[j+ 0] & 0xF) - ((h >> 0) & 1 ? 0 : 16)) - + y[j+16] * d * s[1] * ((q[j+16] & 0xF) - ((h >> 2) & 1 ? 0 : 16)) - + y[j+32] * d * s[2] * ((q[j+ 0] >> 4) - ((h >> 4) & 1 ? 0 : 16)) - + y[j+48] * d * s[3] * ((q[j+16] >> 4) - ((h >> 6) & 1 ? 0 : 16)); - } - tmp += sum; - } -#endif - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -static void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx, const float * __restrict__ yy, float * __restrict__ dst, const int ncols, int nrows, - const sycl::nd_item<3> &item_ct1) { - - static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION"); - - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - if (row > nrows) return; - - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q6_K * x = (const block_q6_K *)vx + ib0; - -#if QK_K == 256 - - const int tid = - item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const int ix = - item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0, 1 - - const int step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 - - const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const int in = tid - step*im; // 0...15 or 0...7 - -#if K_QUANTS_PER_ITERATION == 1 - const int l0 = K_QUANTS_PER_ITERATION*in; // 0...15 - const int is = 0; -#else - const int l0 = 4 * in; // 0, 4, 8, ..., 28 - const int is = in / 4; -#endif - const int ql_offset = 64*im + l0; - const int qh_offset = 32*im + l0; - const int s_offset = 8*im + is; - const int y_offset = 128*im + l0; - - float tmp = 0; // partial sum for thread in warp - - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - - const float * y = yy + i * QK_K + y_offset; - const uint8_t * ql = x[i].ql + ql_offset; - const uint8_t * qh = x[i].qh + qh_offset; - const int8_t * s = x[i].scales + s_offset; - - const float d = x[i].d; - -#if K_QUANTS_PER_ITERATION == 1 - float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32) - + y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32) - + y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32) - + y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32) - + y[64] * s[4] * d * ((int8_t)((ql[ 0] >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32) - + y[80] * s[5] * d * ((int8_t)((ql[16] >> 4) | ((qh[16] & 0x30) >> 0)) - 32) - + y[96] * s[6] * d * ((int8_t)((ql[32] >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32) - +y[112] * s[7] * d * ((int8_t)((ql[48] >> 4) | ((qh[16] & 0xc0) >> 2)) - 32); - tmp += sum; -#else - float sum = 0; - for (int l = 0; l < 4; ++l) { - sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32) - + y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32) - + y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0] >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32) - + y[l+96] * s[6] * d * ((int8_t)((ql[l+32] >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32); - } - tmp += sum; -#endif - - } - -#else - - const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION); // 0...7 - const int ix = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION); // 0...3 - - const int step = tid * K_QUANTS_PER_ITERATION; - - float tmp = 0; // partial sum for thread in warp - - for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { - - const float * y = yy + i * QK_K + step; - const uint8_t * ql = x[i].ql + step; - const uint8_t * qh = x[i].qh + step; - const int8_t * s = x[i].scales; - - const float d = x[i+0].d; - - float sum = 0; - for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) { - sum += y[j+ 0] * s[0] * d * ((int8_t)((ql[j+ 0] & 0xF) | ((qh[j] & 0x03) << 4)) - 32) - + y[j+16] * s[1] * d * ((int8_t)((ql[j+16] & 0xF) | ((qh[j] & 0x0c) << 2)) - 32) - + y[j+32] * s[2] * d * ((int8_t)((ql[j+ 0] >> 4) | ((qh[j] & 0x30) >> 0)) - 32) - + y[j+48] * s[3] * d * ((int8_t)((ql[j+16] >> 4) | ((qh[j] & 0xc0) >> 2)) - 32); - } - tmp += sum; - - } - -#endif - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (tid == 0) { - dst[row] = tmp; - } -} - - -static void dequantize_mul_mat_vec_q4_0_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - // the number of rows may exceed maximum grid size in the y or z dimensions, use the x dimension instead - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec<QK4_0, QR4_0, dequantize_q4_0>( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q4_1_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec<QK4_1, QR4_1, dequantize_q4_1>( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q5_0_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec<QK5_0, QR5_0, dequantize_q5_0>( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec<QK5_1, QR5_1, dequantize_q5_1>( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec<QK8_0, QR8_0, dequantize_q8_0>( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q2_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int ny = 2; // very slightly faster than 1 even when K_QUANTS_PER_ITERATION = 2 - const int block_num_y = (nrows + ny - 1) / ny; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, ny, 32); - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q2_k(vx, y, dst, ncols, nrows, item_ct1); - }); -} - -static void dequantize_mul_mat_vec_q3_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int ny = 2 / K_QUANTS_PER_ITERATION; - const int block_num_y = (nrows + ny - 1) / ny; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, ny, 32); - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q3_k(vx, y, dst, ncols, nrows, item_ct1); - }); -} - -static void dequantize_mul_mat_vec_q4_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int ny = 2 / K_QUANTS_PER_ITERATION; - const int block_num_y = (nrows + ny - 1) / ny; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, ny, 32); - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q4_k(vx, y, dst, ncols, nrows, item_ct1); - }); -} - -static void dequantize_mul_mat_vec_q5_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const sycl::range<3> block_dims(1, 1, 32); - stream->parallel_for( - sycl::nd_range<3>(sycl::range<3>(1, 1, nrows) * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q5_k(vx, y, dst, ncols, item_ct1); - }); -} - -static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int ny = 2 / K_QUANTS_PER_ITERATION; - const int block_num_y = (nrows + ny - 1) / ny; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, ny, 32); - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q6_k(vx, y, dst, ncols, nrows, item_ct1); - }); -} - -void ggml_sycl_op_dequantize_mul_mat_vec( - ggml_backend_sycl_context & ctx, - const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, - const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, - float *dst_dd_i, const int64_t row_low, const int64_t row_high, - const int64_t src1_ncols, const int64_t src1_padded_row_size, - const dpct::queue_ptr &stream) { - - const int64_t ne00 = src0->ne[0]; - const int64_t row_diff = row_high - row_low; - - GGML_ASSERT(src1->type == GGML_TYPE_F32); - // on some GPUs it is faster to convert src1 to half and to use half precision intrinsics -#ifdef GGML_SYCL_F16 - ggml_sycl_pool_alloc<sycl::half> src1_dfloat_a(ctx.pool()); - sycl::half *src1_dfloat = nullptr; // dfloat == half - - bool src1_convert_f16 = - src0->type == GGML_TYPE_Q4_0 || src0->type == GGML_TYPE_Q4_1 || - src0->type == GGML_TYPE_Q5_0 || src0->type == GGML_TYPE_Q5_1 || - src0->type == GGML_TYPE_Q8_0 || src0->type == GGML_TYPE_F16; - - if (src1_convert_f16) { - src1_dfloat = src1_dfloat_a.alloc(ne00); - const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type); - GGML_ASSERT(to_fp16_sycl != nullptr); - to_fp16_sycl(src1_ddf_i, src1_dfloat, ne00, stream); - } -#else - const dfloat * src1_dfloat = (const dfloat *) src1_ddf_i; // dfloat == float, no conversion -#endif // GGML_SYCL_F16 - - switch (src0->type) { - case GGML_TYPE_Q4_0: - dequantize_mul_mat_vec_q4_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q4_1: - dequantize_mul_mat_vec_q4_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_0: - dequantize_mul_mat_vec_q5_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_1: - dequantize_mul_mat_vec_q5_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q8_0: - dequantize_mul_mat_vec_q8_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q2_K: - dequantize_mul_mat_vec_q2_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q3_K: - dequantize_mul_mat_vec_q3_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q4_K: - dequantize_mul_mat_vec_q4_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_K: - dequantize_mul_mat_vec_q5_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q6_K: - dequantize_mul_mat_vec_q6_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_F16: - convert_mul_mat_vec_f16_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - default: - printf("ggml_sycl_op_dequantize_mul_mat_vec unsupported GGML_TYPE %d\n", src0->type); - GGML_ASSERT(false); - break; - } - - (void) src1; - (void) dst; - (void) src1_ddq_i; - (void) src1_ncols; - (void) src1_padded_row_size; -} diff --git a/ggml-sycl/dmmv.hpp b/ggml-sycl/dmmv.hpp deleted file mode 100644 index bd837356..00000000 --- a/ggml-sycl/dmmv.hpp +++ /dev/null @@ -1,27 +0,0 @@ -// -// 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_DMMV_HPP -#define GGML_SYCL_DMMV_HPP - -#include "common.hpp" - - -void ggml_sycl_op_dequantize_mul_mat_vec( - ggml_backend_sycl_context & ctx, - const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, - const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, - float *dst_dd_i, const int64_t row_low, const int64_t row_high, - const int64_t src1_ncols, const int64_t src1_padded_row_size, - const dpct::queue_ptr &stream); - -#endif // GGML_SYCL_DMMV_HPP diff --git a/ggml-sycl/dpct/helper.hpp b/ggml-sycl/dpct/helper.hpp deleted file mode 100644 index 1ff29721..00000000 --- a/ggml-sycl/dpct/helper.hpp +++ /dev/null @@ -1,2936 +0,0 @@ -// -// 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_DPCT_HELPER_HPP -#define GGML_SYCL_DPCT_HELPER_HPP - -#include <sycl/sycl.hpp> -#include <sycl/half_type.hpp> -#include <oneapi/mkl.hpp> -#include <map> - -#include "ggml.h" - -#if defined(__linux__) -#include <sys/mman.h> -#elif defined(_WIN64) -#ifndef NOMINMAX -#define NOMINMAX -#endif -#include <windows.h> -#else -#error "Only support Windows and Linux." -#endif - -#if defined(__linux__) -#include <unistd.h> -#include <sys/syscall.h> -#endif -#if defined(_WIN64) -#ifndef NOMINMAX -#define NOMINMAX -#endif -#include <windows.h> -#endif - -#define DPCT_COMPATIBILITY_TEMP (900) - -#if defined(_MSC_VER) -#define __dpct_align__(n) __declspec(align(n)) -#define __dpct_inline__ __forceinline -#else -#define __dpct_align__(n) __attribute__((aligned(n))) -#define __dpct_inline__ __inline__ __attribute__((always_inline)) -#endif - -#if defined(_MSC_VER) -#define __dpct_noinline__ __declspec(noinline) -#else -#define __dpct_noinline__ __attribute__((noinline)) -#endif - -inline std::string get_device_type_name(const sycl::device &Device) { - auto DeviceType = Device.get_info<sycl::info::device::device_type>(); - switch (DeviceType) { - case sycl::info::device_type::cpu: - return "cpu"; - case sycl::info::device_type::gpu: - return "gpu"; - case sycl::info::device_type::host: - return "host"; - case sycl::info::device_type::accelerator: - return "acc"; - default: - return "unknown"; - } -} - -inline std::string get_device_backend_and_type(const sycl::device &device) { - std::stringstream device_type; - sycl::backend backend = device.get_backend(); - device_type << backend << ":" << get_device_type_name(device); - return device_type.str(); -} - -namespace dpct -{ - typedef sycl::queue *queue_ptr; - typedef sycl::event *event_ptr; - typedef char *device_ptr; - typedef uint8_t byte_t; - typedef sycl::buffer<byte_t> buffer_t; - - /// SYCL default exception handler - inline auto exception_handler = [](sycl::exception_list exceptions) - { - for (std::exception_ptr const &e : exceptions) - { - try - { - std::rethrow_exception(e); - } - catch (sycl::exception const &e) - { - std::cerr << "Caught asynchronous SYCL exception:" << std::endl - << e.what() << std::endl - << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - } - } - }; - - enum error_code - { - success = 0, - default_error = 999 - }; - - enum memcpy_direction - { - host_to_host, - host_to_device, - device_to_host, - device_to_device, - automatic - }; - - enum memory_region - { - global = 0, // device global memory - constant, // device constant memory - local, // device local memory - shared, // memory which can be accessed by host and device - }; - - enum class library_data_t : unsigned char - { - real_float = 0, - complex_float, - real_double, - complex_double, - real_half, - complex_half, - real_bfloat16, - complex_bfloat16, - real_int4, - complex_int4, - real_uint4, - complex_uint4, - real_int8, - complex_int8, - real_uint8, - complex_uint8, - real_int16, - complex_int16, - real_uint16, - complex_uint16, - real_int32, - complex_int32, - real_uint32, - complex_uint32, - real_int64, - complex_int64, - real_uint64, - complex_uint64, - real_int8_4, - real_int8_32, - real_uint8_4, - library_data_t_size - }; - - template <typename T> - struct DataType - { - using T2 = T; - }; - template <typename T> - struct DataType<sycl::vec<T, 2>> - { - using T2 = std::complex<T>; - }; - - static void destroy_event(event_ptr event) - { - delete event; - } - - static inline unsigned int get_tid() - { -#if defined(__linux__) - return syscall(SYS_gettid); -#elif defined(_WIN64) - return GetCurrentThreadId(); -#else -#error "Only support Windows and Linux." -#endif - } - - namespace detail - { - static void get_version(const sycl::device &dev, int &major, int &minor) - { - // Version string has the following format: - // a. OpenCL<space><major.minor><space><vendor-specific-information> - // b. <major.minor> - // c. <AmdGcnArchName> e.g gfx1030 - std::string ver; - ver = dev.get_info<sycl::info::device::version>(); - std::string::size_type i = 0; - while (i < ver.size()) { - if (isdigit(ver[i])) - break; - i++; - } - major = std::stoi(&(ver[i])); - while (i < ver.size()) { - if (ver[i] == '.') - break; - i++; - } - if (i < ver.size()) { - // a. and b. - i++; - minor = std::stoi(&(ver[i])); - } else { - // c. - minor = 0; - } - } - - template <typename tag, typename T> - class generic_error_type - { - public: - generic_error_type() = default; - generic_error_type(T value) : value{value} {} - operator T() const { return value; } - - private: - T value; - }; - - } // namespace detail - - /// Pitched 2D/3D memory data. - class pitched_data - { - public: - pitched_data() : pitched_data(nullptr, 0, 0, 0) {} - pitched_data(void *data, size_t pitch, size_t x, size_t y) - : _data(data), _pitch(pitch), _x(x), _y(y) {} - - void *get_data_ptr() { return _data; } - void set_data_ptr(void *data) { _data = data; } - - size_t get_pitch() { return _pitch; } - void set_pitch(size_t pitch) { _pitch = pitch; } - - size_t get_x() { return _x; } - void set_x(size_t x) { _x = x; }; - - size_t get_y() { return _y; } - void set_y(size_t y) { _y = y; } - - private: - void *_data; - size_t _pitch, _x, _y; - }; - - class device_info - { - public: - // get interface - const char *get_name() const { return _name; } - char *get_name() { return _name; } - template <typename WorkItemSizesTy = sycl::range<3>, - std::enable_if_t<std::is_same_v<WorkItemSizesTy, sycl::range<3>> || - std::is_same_v<WorkItemSizesTy, int *>, - int> = 0> - auto get_max_work_item_sizes() const - { - if constexpr (std::is_same_v<WorkItemSizesTy, sycl::range<3>>) - return sycl::range<3>(_max_work_item_sizes_i[0], - _max_work_item_sizes_i[1], - _max_work_item_sizes_i[2]); - else - { - return _max_work_item_sizes_i; - } - } - template <typename WorkItemSizesTy = sycl::range<3>, - std::enable_if_t<std::is_same_v<WorkItemSizesTy, sycl::range<3>> || - std::is_same_v<WorkItemSizesTy, int *>, - int> = 0> - auto get_max_work_item_sizes() - { - if constexpr (std::is_same_v<WorkItemSizesTy, sycl::range<3>>) - return sycl::range<3>(_max_work_item_sizes_i[0], - _max_work_item_sizes_i[1], - _max_work_item_sizes_i[2]); - else - { - return _max_work_item_sizes_i; - } - } - bool get_host_unified_memory() const { return _host_unified_memory; } - int get_major_version() const { return _major; } - int get_minor_version() const { return _minor; } - int get_integrated() const { return _integrated; } - int get_max_clock_frequency() const { return _frequency; } - int get_max_compute_units() const { return _max_compute_units; } - int get_max_work_group_size() const { return _max_work_group_size; } - int get_max_sub_group_size() const { return _max_sub_group_size; } - int get_max_work_items_per_compute_unit() const - { - return _max_work_items_per_compute_unit; - } - int get_max_register_size_per_work_group() const - { - return _max_register_size_per_work_group; - } - template <typename NDRangeSizeTy = size_t *, - std::enable_if_t<std::is_same_v<NDRangeSizeTy, size_t *> || - std::is_same_v<NDRangeSizeTy, int *>, - int> = 0> - auto get_max_nd_range_size() const - { - if constexpr (std::is_same_v<NDRangeSizeTy, size_t *>) - return _max_nd_range_size; - else - return _max_nd_range_size_i; - } - template <typename NDRangeSizeTy = size_t *, - std::enable_if_t<std::is_same_v<NDRangeSizeTy, size_t *> || - std::is_same_v<NDRangeSizeTy, int *>, - int> = 0> - auto get_max_nd_range_size() - { - if constexpr (std::is_same_v<NDRangeSizeTy, size_t *>) - return _max_nd_range_size; - else - return _max_nd_range_size_i; - } - size_t get_global_mem_size() const { return _global_mem_size; } - size_t get_local_mem_size() const { return _local_mem_size; } - size_t get_max_mem_alloc_size() const { return _max_mem_alloc_size; } - /// Returns the maximum clock rate of device's global memory in kHz. If - /// compiler does not support this API then returns default value 3200000 kHz. - unsigned int get_memory_clock_rate() const { return _memory_clock_rate; } - /// Returns the maximum bus width between device and memory in bits. If - /// compiler does not support this API then returns default value 64 bits. - unsigned int get_memory_bus_width() const { return _memory_bus_width; } - uint32_t get_device_id() const { return _device_id; } - std::array<unsigned char, 16> get_uuid() const { return _uuid; } - /// Returns global memory cache size in bytes. - unsigned int get_global_mem_cache_size() const - { - return _global_mem_cache_size; - } - - // set interface - void set_name(const char *name) - { - size_t length = strlen(name); - if (length < 256) - { - std::memcpy(_name, name, length + 1); - } - else - { - std::memcpy(_name, name, 255); - _name[255] = '\0'; - } - } - void set_max_work_item_sizes(const sycl::range<3> max_work_item_sizes) - { - for (int i = 0; i < 3; ++i) - _max_work_item_sizes_i[i] = max_work_item_sizes[i]; - } - [[deprecated]] void - set_max_work_item_sizes(const sycl::id<3> max_work_item_sizes) - { - for (int i = 0; i < 3; ++i) - { - _max_work_item_sizes_i[i] = max_work_item_sizes[i]; - } - } - void set_host_unified_memory(bool host_unified_memory) - { - _host_unified_memory = host_unified_memory; - } - void set_major_version(int major) { _major = major; } - void set_minor_version(int minor) { _minor = minor; } - void set_integrated(int integrated) { _integrated = integrated; } - void set_max_clock_frequency(int frequency) { _frequency = frequency; } - void set_max_compute_units(int max_compute_units) - { - _max_compute_units = max_compute_units; - } - void set_global_mem_size(size_t global_mem_size) - { - _global_mem_size = global_mem_size; - } - void set_local_mem_size(size_t local_mem_size) - { - _local_mem_size = local_mem_size; - } - void set_max_mem_alloc_size(size_t max_mem_alloc_size) - { - _max_mem_alloc_size = max_mem_alloc_size; - } - void set_max_work_group_size(int max_work_group_size) - { - _max_work_group_size = max_work_group_size; - } - void set_max_sub_group_size(int max_sub_group_size) - { - _max_sub_group_size = max_sub_group_size; - } - void - set_max_work_items_per_compute_unit(int max_work_items_per_compute_unit) - { - _max_work_items_per_compute_unit = max_work_items_per_compute_unit; - } - void set_max_nd_range_size(int max_nd_range_size[]) - { - for (int i = 0; i < 3; i++) - { - _max_nd_range_size[i] = max_nd_range_size[i]; - _max_nd_range_size_i[i] = max_nd_range_size[i]; - } - } - void set_memory_clock_rate(unsigned int memory_clock_rate) - { - _memory_clock_rate = memory_clock_rate; - } - void set_memory_bus_width(unsigned int memory_bus_width) - { - _memory_bus_width = memory_bus_width; - } - void - set_max_register_size_per_work_group(int max_register_size_per_work_group) - { - _max_register_size_per_work_group = max_register_size_per_work_group; - } - void set_device_id(uint32_t device_id) - { - _device_id = device_id; - } - void set_uuid(std::array<unsigned char, 16> uuid) - { - _uuid = std::move(uuid); - } - void set_global_mem_cache_size(unsigned int global_mem_cache_size) - { - _global_mem_cache_size = global_mem_cache_size; - } - - private: - char _name[256]; - int _max_work_item_sizes_i[3]; - bool _host_unified_memory = false; - int _major; - int _minor; - int _integrated = 0; - int _frequency; - // Set estimated value 3200000 kHz as default value. - unsigned int _memory_clock_rate = 3200000; - // Set estimated value 64 bits as default value. - unsigned int _memory_bus_width = 64; - unsigned int _global_mem_cache_size; - int _max_compute_units; - int _max_work_group_size; - int _max_sub_group_size; - int _max_work_items_per_compute_unit; - int _max_register_size_per_work_group; - size_t _global_mem_size; - size_t _local_mem_size; - size_t _max_mem_alloc_size; - size_t _max_nd_range_size[3]; - int _max_nd_range_size_i[3]; - uint32_t _device_id; - std::array<unsigned char, 16> _uuid; - }; - - static int get_major_version(const sycl::device &dev) - { - int major, minor; - detail::get_version(dev, major, minor); - return major; - } - - static int get_minor_version(const sycl::device &dev) - { - int major, minor; - detail::get_version(dev, major, minor); - return minor; - } - - static void get_device_info(device_info &out, const sycl::device &dev) - { - device_info prop; - prop.set_name(dev.get_info<sycl::info::device::name>().c_str()); - - int major, minor; - detail::get_version(dev, major, minor); - prop.set_major_version(major); - prop.set_minor_version(minor); - - prop.set_max_work_item_sizes( -#if (__SYCL_COMPILER_VERSION && __SYCL_COMPILER_VERSION < 20220902) - // oneAPI DPC++ compiler older than 2022/09/02, where max_work_item_sizes - // is an enum class element - dev.get_info<sycl::info::device::max_work_item_sizes>()); -#else - // SYCL 2020-conformant code, max_work_item_sizes is a struct templated by - // an int - dev.get_info<sycl::info::device::max_work_item_sizes<3>>()); -#endif - prop.set_host_unified_memory(dev.has(sycl::aspect::usm_host_allocations)); - - prop.set_max_clock_frequency( - dev.get_info<sycl::info::device::max_clock_frequency>() * 1000); - - prop.set_max_compute_units( - dev.get_info<sycl::info::device::max_compute_units>()); - prop.set_max_work_group_size( - dev.get_info<sycl::info::device::max_work_group_size>()); - prop.set_global_mem_size(dev.get_info<sycl::info::device::global_mem_size>()); - prop.set_local_mem_size(dev.get_info<sycl::info::device::local_mem_size>()); - prop.set_max_mem_alloc_size(dev.get_info<sycl::info::device::max_mem_alloc_size>()); - -#if (defined(SYCL_EXT_INTEL_DEVICE_INFO) && SYCL_EXT_INTEL_DEVICE_INFO >= 6) - if (dev.has(sycl::aspect::ext_intel_memory_clock_rate)) - { - unsigned int tmp = - dev.get_info<sycl::ext::intel::info::device::memory_clock_rate>(); - if (tmp != 0) - prop.set_memory_clock_rate(1000 * tmp); - } - if (dev.has(sycl::aspect::ext_intel_memory_bus_width)) - { - prop.set_memory_bus_width( - dev.get_info<sycl::ext::intel::info::device::memory_bus_width>()); - } - if (dev.has(sycl::aspect::ext_intel_device_id)) - { - prop.set_device_id( - dev.get_info<sycl::ext::intel::info::device::device_id>()); - } - if (dev.has(sycl::aspect::ext_intel_device_info_uuid)) - { - prop.set_uuid(dev.get_info<sycl::ext::intel::info::device::uuid>()); - } -#elif defined(_MSC_VER) && !defined(__clang__) -#pragma message("get_device_info: querying memory_clock_rate and \ - memory_bus_width are not supported by the compiler used. \ - Use 3200000 kHz as memory_clock_rate default value. \ - Use 64 bits as memory_bus_width default value.") -#else -#warning "get_device_info: querying memory_clock_rate and \ - memory_bus_width are not supported by the compiler used. \ - Use 3200000 kHz as memory_clock_rate default value. \ - Use 64 bits as memory_bus_width default value." -#endif - - size_t max_sub_group_size = 1; - std::vector<size_t> sub_group_sizes = - dev.get_info<sycl::info::device::sub_group_sizes>(); - - for (const auto &sub_group_size : sub_group_sizes) - { - if (max_sub_group_size < sub_group_size) - max_sub_group_size = sub_group_size; - } - - prop.set_max_sub_group_size(max_sub_group_size); - - prop.set_max_work_items_per_compute_unit( - dev.get_info<sycl::info::device::max_work_group_size>()); - int max_nd_range_size[] = {0x7FFFFFFF, 0x7FFFFFFF, 0x7FFFFFFF}; - prop.set_max_nd_range_size(max_nd_range_size); - - // Estimates max register size per work group, feel free to update the value - // according to device properties. - prop.set_max_register_size_per_work_group(65536); - - prop.set_global_mem_cache_size( - dev.get_info<sycl::info::device::global_mem_cache_size>()); - out = prop; - } - - /// dpct device extension - class device_ext : public sycl::device { - typedef std::mutex mutex_type; - - public: - device_ext() : sycl::device() {} - ~device_ext() { - std::lock_guard<mutex_type> lock(m_mutex); - clear_queues(); - } - device_ext(const sycl::device &base) : sycl::device(base) { - std::lock_guard<mutex_type> lock(m_mutex); - init_queues(); - } - - int is_native_atomic_supported() { return 0; } - int get_major_version() const { return dpct::get_major_version(*this); } - - int get_minor_version() const { return dpct::get_minor_version(*this); } - - int get_max_compute_units() const { - return get_device_info().get_max_compute_units(); - } - - /// Return the maximum clock frequency of this device in KHz. - int get_max_clock_frequency() const { - return get_device_info().get_max_clock_frequency(); - } - - int get_integrated() const { return get_device_info().get_integrated(); } - - int get_max_sub_group_size() const { - return get_device_info().get_max_sub_group_size(); - } - - int get_max_register_size_per_work_group() const { - return get_device_info().get_max_register_size_per_work_group(); - } - - int get_max_work_group_size() const { - return get_device_info().get_max_work_group_size(); - } - - int get_mem_base_addr_align() const { - return get_info<sycl::info::device::mem_base_addr_align>(); - } - - size_t get_global_mem_size() const { - return get_device_info().get_global_mem_size(); - } - - size_t get_max_mem_alloc_size() const { - return get_device_info().get_max_mem_alloc_size(); - } - - /// Get the number of bytes of free and total memory on the SYCL device. - /// \param [out] free_memory The number of bytes of free memory on the - /// SYCL device. \param [out] total_memory The number of bytes of total - /// memory on the SYCL device. - void get_memory_info(size_t &free_memory, size_t &total_memory) { - total_memory = get_device_info().get_global_mem_size(); - const char *warning_info = - "get_memory_info: [warning] ext_intel_free_memory is not " - "supported (export/set ZES_ENABLE_SYSMAN=1 to support), " - "use total memory as free memory"; -#if (defined(__SYCL_COMPILER_VERSION) && __SYCL_COMPILER_VERSION >= 20221105) - if (!has(sycl::aspect::ext_intel_free_memory)) { - std::cerr << warning_info << std::endl; - free_memory = total_memory; - } else { - free_memory = get_info<sycl::ext::intel::info::device::free_memory>(); - } -#else - std::cerr << warning_info << std::endl; - free_memory = total_memory; -#if defined(_MSC_VER) && !defined(__clang__) -#pragma message("Querying the number of bytes of free memory is not supported") -#else -#warning "Querying the number of bytes of free memory is not supported" -#endif -#endif - } - - void get_device_info(device_info &out) const { - dpct::get_device_info(out, *this); - } - - device_info get_device_info() const { - device_info prop; - dpct::get_device_info(prop, *this); - return prop; - } - - void reset() { - std::lock_guard<mutex_type> lock(m_mutex); - clear_queues(); - init_queues(); - } - - sycl::queue &in_order_queue() { return _q_in_order; } - - sycl::queue &out_of_order_queue() { return _q_out_of_order; } - - sycl::queue &default_queue() { return in_order_queue(); } - - void queues_wait_and_throw() { - std::unique_lock<mutex_type> lock(m_mutex); - lock.unlock(); - for (auto &q : _queues) { - q.wait_and_throw(); - } - // Guard the destruct of current_queues to make sure the ref count is - // safe. - lock.lock(); - } - - sycl::queue create_queue(bool enable_exception_handler = false) { - return create_in_order_queue(enable_exception_handler); - } - - sycl::queue create_queue(sycl::device device, - bool enable_exception_handler = false) { - return create_in_order_queue(device, enable_exception_handler); - } - - sycl::queue create_in_order_queue(bool enable_exception_handler = false) { - std::lock_guard<mutex_type> lock(m_mutex); - return create_queue_impl(enable_exception_handler, - sycl::property::queue::in_order()); - } - - sycl::queue create_in_order_queue(sycl::device device, - bool enable_exception_handler = false) { - std::lock_guard<mutex_type> lock(m_mutex); - return create_queue_impl(device, enable_exception_handler, - sycl::property::queue::in_order()); - } - - sycl::queue create_out_of_order_queue( - bool enable_exception_handler = false) { - std::lock_guard<mutex_type> lock(m_mutex); - return create_queue_impl(enable_exception_handler); - } - - void destroy_queue(sycl::queue queue) { - std::lock_guard<mutex_type> lock(m_mutex); - _queues.clear(); - } - void set_saved_queue(sycl::queue q) { - std::lock_guard<mutex_type> lock(m_mutex); - _saved_queue = q; - } - sycl::queue get_saved_queue() const { - std::lock_guard<mutex_type> lock(m_mutex); - return _saved_queue; - } - - private: - void clear_queues() { _queues.clear(); } - - void init_queues() { - _q_in_order = - create_queue_impl(true, sycl::property::queue::in_order()); - _q_out_of_order = create_queue_impl(true); - _saved_queue = default_queue(); - } - - /// Caller should acquire resource \p m_mutex before calling this - /// function. - template <class... Properties> - sycl::queue create_queue_impl(bool enable_exception_handler, - Properties... properties) { - sycl::async_handler eh = {}; - if (enable_exception_handler) { - eh = exception_handler; - } - auto q = sycl::queue(*this, eh, - sycl::property_list( -#ifdef DPCT_PROFILING_ENABLED - sycl::property::queue::enable_profiling(), -#endif - properties...)); - _queues.push_back(q); - - return _queues.back(); - } - - template <class... Properties> - sycl::queue create_queue_impl(sycl::device device, - bool enable_exception_handler, - Properties... properties) { - sycl::async_handler eh = {}; - if (enable_exception_handler) { - eh = exception_handler; - } - _queues.push_back( - sycl::queue(device, eh, - sycl::property_list( -#ifdef DPCT_PROFILING_ENABLED - sycl::property::queue::enable_profiling(), -#endif - properties...))); - - return _queues.back(); - } - - void get_version(int &major, int &minor) const { - detail::get_version(*this, major, minor); - } - sycl::queue _q_in_order, _q_out_of_order; - sycl::queue _saved_queue; - std::vector<sycl::queue> _queues; - mutable mutex_type m_mutex; - }; - - - /// device manager - class dev_mgr - { - public: - device_ext ¤t_device() - { - unsigned int dev_id = current_device_id(); - check_id(dev_id); - return *_devs[dev_id]; - } - device_ext &cpu_device() const - { - std::lock_guard<std::recursive_mutex> lock(m_mutex); - if (_cpu_device == -1) - { - throw std::runtime_error("no valid cpu device"); - } - else - { - return *_devs[_cpu_device]; - } - } - device_ext &get_device(unsigned int id) const - { - std::lock_guard<std::recursive_mutex> lock(m_mutex); - check_id(id); - return *_devs[id]; - } - unsigned int current_device_id() const - { - std::lock_guard<std::recursive_mutex> lock(m_mutex); - auto it = _thread2dev_map.find(get_tid()); - if (it != _thread2dev_map.end()) - return it->second; - return DEFAULT_DEVICE_ID; - } - - /// Select device with a device ID. - /// \param [in] id The id of the device which can - /// be obtained through get_device_id(const sycl::device). - void select_device(unsigned int id) - { - std::lock_guard<std::recursive_mutex> lock(m_mutex); - check_id(id); - _thread2dev_map[get_tid()] = id; - } - unsigned int device_count() { return _devs.size(); } - - unsigned int get_device_id(const sycl::device &dev) - { - unsigned int id = 0; - for (auto dev_item : _devs) - { - if (*dev_item == dev) - { - break; - } - id++; - } - return id; - } - - template <class DeviceSelector> - std::enable_if_t< - std::is_invocable_r_v<int, DeviceSelector, const sycl::device &>> - select_device(const DeviceSelector &selector = sycl::gpu_selector_v) - { - sycl::device selected_device = sycl::device(selector); - unsigned int selected_device_id = get_device_id(selected_device); - select_device(selected_device_id); - } - - /// Returns the instance of device manager singleton. - static dev_mgr &instance() - { - static dev_mgr d_m; - return d_m; - } - dev_mgr(const dev_mgr &) = delete; - dev_mgr &operator=(const dev_mgr &) = delete; - dev_mgr(dev_mgr &&) = delete; - dev_mgr &operator=(dev_mgr &&) = delete; - - private: - mutable std::recursive_mutex m_mutex; - static bool compare_dev(sycl::device &device1, sycl::device &device2) - { - sycl::backend backend1 = device1.get_backend(); - sycl::backend backend2 = device2.get_backend(); - // levelzero backends always come first - if(backend1 == sycl::backend::ext_oneapi_level_zero && backend2 != sycl::backend::ext_oneapi_level_zero) return true; - if(backend1 != sycl::backend::ext_oneapi_level_zero && backend2 == sycl::backend::ext_oneapi_level_zero) return false; - dpct::device_info prop1; - dpct::get_device_info(prop1, device1); - dpct::device_info prop2; - dpct::get_device_info(prop2, device2); - return prop1.get_max_compute_units() > prop2.get_max_compute_units(); - } - static int convert_backend_index(std::string & backend) { - if (backend == "ext_oneapi_level_zero:gpu") return 0; - if (backend == "opencl:gpu") return 1; - if (backend == "ext_oneapi_cuda:gpu") return 2; - if (backend == "ext_oneapi_hip:gpu") return 3; - if (backend == "opencl:cpu") return 4; - if (backend == "opencl:acc") return 5; - printf("convert_backend_index: can't handle backend=%s\n", backend.c_str()); - GGML_ASSERT(false); - } - static bool compare_backend(std::string &backend1, std::string &backend2) { - return convert_backend_index(backend1) < convert_backend_index(backend2); - } - dev_mgr() - { - sycl::device default_device = - sycl::device(sycl::default_selector_v); - _devs.push_back(std::make_shared<device_ext>(default_device)); - - std::vector<sycl::device> sycl_all_devs; - // Collect other devices except for the default device. - if (default_device.is_cpu()) - _cpu_device = 0; - - auto Platforms = sycl::platform::get_platforms(); - // Keep track of the number of devices per backend - std::map<sycl::backend, size_t> DeviceNums; - std::map<std::string, std::vector<sycl::device>> backend_devices; - - while (!Platforms.empty()) { - auto Platform = Platforms.back(); - Platforms.pop_back(); - auto devices = Platform.get_devices(); - std::string backend_type = get_device_backend_and_type(devices[0]); - for (const auto &device : devices) { - backend_devices[backend_type].push_back(device); - } - } - - std::vector<std::string> keys; - for(auto it = backend_devices.begin(); it != backend_devices.end(); ++it) { - keys.push_back(it->first); - } - std::sort(keys.begin(), keys.end(), compare_backend); - - for (auto &key : keys) { - std::vector<sycl::device> devs = backend_devices[key]; - std::sort(devs.begin(), devs.end(), compare_dev); - for (const auto &dev : devs) { - sycl_all_devs.push_back(dev); - } - } - - for (auto &dev : sycl_all_devs) - { - if (dev == default_device) - { - continue; - } - _devs.push_back(std::make_shared<device_ext>(dev)); - if (_cpu_device == -1 && dev.is_cpu()) - { - _cpu_device = _devs.size() - 1; - } - } - } - void check_id(unsigned int id) const - { - if (id >= _devs.size()) - { - throw std::runtime_error("invalid device id"); - } - } - std::vector<std::shared_ptr<device_ext>> _devs; - /// DEFAULT_DEVICE_ID is used, if current_device_id() can not find current - /// thread id in _thread2dev_map, which means default device should be used - /// for the current thread. - const unsigned int DEFAULT_DEVICE_ID = 0; - /// thread-id to device-id map. - std::map<unsigned int, unsigned int> _thread2dev_map; - int _cpu_device = -1; - }; - - static inline sycl::queue &get_default_queue() - { - return dev_mgr::instance().current_device().default_queue(); - } - - namespace detail - { - enum class pointer_access_attribute - { - host_only = 0, - device_only, - host_device, - end - }; - - static pointer_access_attribute get_pointer_attribute(sycl::queue &q, - const void *ptr) - { - switch (sycl::get_pointer_type(ptr, q.get_context())) - { - case sycl::usm::alloc::unknown: - return pointer_access_attribute::host_only; - case sycl::usm::alloc::device: - return pointer_access_attribute::device_only; - case sycl::usm::alloc::shared: - case sycl::usm::alloc::host: - return pointer_access_attribute::host_device; - } - } - - template <typename ArgT> - inline constexpr std::uint64_t get_type_combination_id(ArgT Val) - { - static_assert((unsigned char)library_data_t::library_data_t_size <= - std::numeric_limits<unsigned char>::max() && - "library_data_t size exceeds limit."); - static_assert(std::is_same_v<ArgT, library_data_t>, "Unsupported ArgT"); - return (std::uint64_t)Val; - } - - template <typename FirstT, typename... RestT> - inline constexpr std::uint64_t get_type_combination_id(FirstT FirstVal, - RestT... RestVal) - { - static_assert((std::uint8_t)library_data_t::library_data_t_size <= - std::numeric_limits<unsigned char>::max() && - "library_data_t size exceeds limit."); - static_assert(sizeof...(RestT) <= 8 && "Too many parameters"); - static_assert(std::is_same_v<FirstT, library_data_t>, "Unsupported FirstT"); - return get_type_combination_id(RestVal...) << 8 | ((std::uint64_t)FirstVal); - } - - class mem_mgr - { - mem_mgr() - { - // Reserved address space, no real memory allocation happens here. -#if defined(__linux__) - mapped_address_space = - (byte_t *)mmap(nullptr, mapped_region_size, PROT_NONE, - MAP_PRIVATE | MAP_ANONYMOUS, -1, 0); -#elif defined(_WIN64) - mapped_address_space = (byte_t *)VirtualAlloc( - NULL, // NULL specified as the base address parameter - mapped_region_size, // Size of allocation - MEM_RESERVE, // Allocate reserved pages - PAGE_NOACCESS); // Protection = no access -#else -#error "Only support Windows and Linux." -#endif - next_free = mapped_address_space; - }; - - public: - using buffer_id_t = int; - - struct allocation - { - buffer_t buffer; - byte_t *alloc_ptr; - size_t size; - }; - - ~mem_mgr() - { -#if defined(__linux__) - munmap(mapped_address_space, mapped_region_size); -#elif defined(_WIN64) - VirtualFree(mapped_address_space, 0, MEM_RELEASE); -#else -#error "Only support Windows and Linux." -#endif - }; - - mem_mgr(const mem_mgr &) = delete; - mem_mgr &operator=(const mem_mgr &) = delete; - mem_mgr(mem_mgr &&) = delete; - mem_mgr &operator=(mem_mgr &&) = delete; - - /// Allocate - void *mem_alloc(size_t size) - { - if (!size) - return nullptr; - std::lock_guard<std::mutex> lock(m_mutex); - if (next_free + size > mapped_address_space + mapped_region_size) - { - throw std::runtime_error("dpct_malloc: out of memory for virtual memory pool"); - } - // Allocation - sycl::range<1> r(size); - buffer_t buf(r); - allocation A{buf, next_free, size}; - // Map allocation to device pointer - void *result = next_free; - m_map.emplace(next_free + size, A); - // Update pointer to the next free space. - next_free += (size + extra_padding + alignment - 1) & ~(alignment - 1); - - return result; - } - - /// Deallocate - void mem_free(const void *ptr) - { - if (!ptr) - return; - std::lock_guard<std::mutex> lock(m_mutex); - auto it = get_map_iterator(ptr); - m_map.erase(it); - } - - /// map: device pointer -> allocation(buffer, alloc_ptr, size) - allocation translate_ptr(const void *ptr) - { - std::lock_guard<std::mutex> lock(m_mutex); - auto it = get_map_iterator(ptr); - return it->second; - } - - /// Check if the pointer represents device pointer or not. - bool is_device_ptr(const void *ptr) const - { - std::lock_guard<std::mutex> lock(m_mutex); - return (mapped_address_space <= ptr) && - (ptr < mapped_address_space + mapped_region_size); - } - - /// Returns the instance of memory manager singleton. - static mem_mgr &instance() - { - static mem_mgr m; - return m; - } - - private: - std::map<byte_t *, allocation> m_map; - mutable std::mutex m_mutex; - byte_t *mapped_address_space; - byte_t *next_free; - const size_t mapped_region_size = 128ull * 1024 * 1024 * 1024; - const size_t alignment = 256; - /// This padding may be defined to some positive value to debug - /// out of bound accesses. - const size_t extra_padding = 0; - - std::map<byte_t *, allocation>::iterator get_map_iterator(const void *ptr) - { - auto it = m_map.upper_bound((byte_t *)ptr); - if (it == m_map.end()) - { - // Not a virtual pointer. - throw std::runtime_error("can not get buffer from non-virtual pointer"); - } - const allocation &alloc = it->second; - if (ptr < alloc.alloc_ptr) - { - // Out of bound. - // This may happen if there's a gap between allocations due to alignment - // or extra padding and pointer points to this gap. - throw std::runtime_error("invalid virtual pointer"); - } - return it; - } - }; - - template <class T, memory_region Memory, size_t Dimension> - class accessor; - template <memory_region Memory, class T = byte_t> - class memory_traits - { - public: - static constexpr sycl::access::target target = - sycl::access::target::device; - static constexpr sycl::access_mode mode = - (Memory == constant) ? sycl::access_mode::read - : sycl::access_mode::read_write; - static constexpr size_t type_size = sizeof(T); - using element_t = - typename std::conditional<Memory == constant, const T, T>::type; - using value_t = typename std::remove_cv<T>::type; - template <size_t Dimension = 1> - using accessor_t = typename std::conditional< - Memory == local, sycl::local_accessor<value_t, Dimension>, - sycl::accessor<T, Dimension, mode, target>>::type; - using pointer_t = T *; - }; - - static inline void *dpct_malloc(size_t size, sycl::queue &q) - { - return sycl::malloc_device(size, q.get_device(), q.get_context()); - } - -#define PITCH_DEFAULT_ALIGN(x) (((x) + 31) & ~(0x1F)) - static inline void *dpct_malloc(size_t &pitch, size_t x, size_t y, size_t z, - sycl::queue &q) - { - pitch = PITCH_DEFAULT_ALIGN(x); - return dpct_malloc(pitch * y * z, q); - } - - /** - * @brief Sets \p value to the first \p size elements starting from \p dev_ptr in \p q. - * @tparam valueT The type of the element to be set. - * @param [in] q The queue in which the operation is done. - * @param [in] dev_ptr Pointer to the virtual device memory address. - * @param [in] value The value to be set. - * @param [in] size Number of elements to be set to the value. - * @return An event representing the memset operation. - */ - template <typename valueT> - static inline sycl::event dpct_memset(sycl::queue &q, void *dev_ptr, - valueT value, size_t size) - { - return q.fill(dev_ptr, value, size); - } - - /** - * @brief Sets \p value to the 3D memory region pointed by \p data in \p q. - * @tparam valueT The type of the element to be set. - * @param [in] q The queue in which the operation is done. - * @param [in] data Pointer to the pitched device memory region. - * @param [in] value The value to be set. - * @param [in] size 3D memory region by number of elements. - * @return An event list representing the memset operations. - */ - template <typename valueT> - static inline std::vector<sycl::event> - dpct_memset(sycl::queue &q, pitched_data data, valueT value, - sycl::range<3> size) - { - std::vector<sycl::event> event_list; - size_t slice = data.get_pitch() * data.get_y(); - unsigned char *data_surface = (unsigned char *)data.get_data_ptr(); - for (size_t z = 0; z < size.get(2); ++z) - { - unsigned char *data_ptr = data_surface; - for (size_t y = 0; y < size.get(1); ++y) - { - event_list.push_back(dpct_memset(q, data_ptr, value, size.get(0))); - data_ptr += data.get_pitch(); - } - data_surface += slice; - } - return event_list; - } - - /** - * @brief Sets \p val to the pitched 2D memory region pointed by \p ptr in \p q. - * @tparam valueT The type of the element to be set. - * @param [in] q The queue in which the operation is done. - * @param [in] ptr Pointer to the virtual device memory. - * @param [in] pitch The pitch size by number of elements, including padding. - * @param [in] val The value to be set. - * @param [in] x The width of memory region by number of elements. - * @param [in] y The height of memory region by number of elements. - * @return An event list representing the memset operations. - */ - template <typename valueT> - static inline std::vector<sycl::event> - dpct_memset(sycl::queue &q, void *ptr, size_t pitch, valueT val, size_t x, - size_t y) - { - return dpct_memset(q, pitched_data(ptr, pitch, x, 1), val, - sycl::range<3>(x, y, 1)); - } - - static memcpy_direction deduce_memcpy_direction(sycl::queue &q, void *to_ptr, - const void *from_ptr, - memcpy_direction dir) - { - switch (dir) - { - case memcpy_direction::host_to_host: - case memcpy_direction::host_to_device: - case memcpy_direction::device_to_host: - case memcpy_direction::device_to_device: - return dir; - case memcpy_direction::automatic: - { - // table[to_attribute][from_attribute] - static const memcpy_direction - direction_table[static_cast<unsigned>(pointer_access_attribute::end)] - [static_cast<unsigned>(pointer_access_attribute::end)] = - {{memcpy_direction::host_to_host, - memcpy_direction::device_to_host, - memcpy_direction::host_to_host}, - {memcpy_direction::host_to_device, - memcpy_direction::device_to_device, - memcpy_direction::device_to_device}, - {memcpy_direction::host_to_host, - memcpy_direction::device_to_device, - memcpy_direction::device_to_device}}; - return direction_table[static_cast<unsigned>(get_pointer_attribute( - q, to_ptr))][static_cast<unsigned>(get_pointer_attribute(q, from_ptr))]; - } - default: - throw std::runtime_error("dpct_memcpy: invalid direction value"); - } - } - - static sycl::event - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size, - memcpy_direction direction, - const std::vector<sycl::event> &dep_events = {}) - { - if (!size) - return sycl::event{}; - return q.memcpy(to_ptr, from_ptr, size, dep_events); - GGML_UNUSED(direction); - } - - // Get actual copy range and make sure it will not exceed range. - static inline size_t get_copy_range(sycl::range<3> size, size_t slice, - size_t pitch) - { - return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0); - } - - static inline size_t get_offset(sycl::id<3> id, size_t slice, - size_t pitch) - { - return slice * id.get(2) + pitch * id.get(1) + id.get(0); - } - - /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr - /// and \p from_range to another specified by \p to_ptr and \p to_range. - static inline std::vector<sycl::event> - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, - sycl::range<3> to_range, sycl::range<3> from_range, - sycl::id<3> to_id, sycl::id<3> from_id, - sycl::range<3> size, memcpy_direction direction, - const std::vector<sycl::event> &dep_events = {}) - { - // RAII for host pointer - class host_buffer - { - void *_buf; - size_t _size; - sycl::queue &_q; - const std::vector<sycl::event> &_deps; // free operation depends - - public: - host_buffer(size_t size, sycl::queue &q, - const std::vector<sycl::event> &deps) - : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {} - void *get_ptr() const { return _buf; } - size_t get_size() const { return _size; } - ~host_buffer() - { - if (_buf) - { - _q.submit([&](sycl::handler &cgh) - { - cgh.depends_on(_deps); - cgh.host_task([buf = _buf] { std::free(buf); }); }); - } - } - }; - std::vector<sycl::event> event_list; - - size_t to_slice = to_range.get(1) * to_range.get(0), - from_slice = from_range.get(1) * from_range.get(0); - unsigned char *to_surface = - (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0)); - const unsigned char *from_surface = - (const unsigned char *)from_ptr + - get_offset(from_id, from_slice, from_range.get(0)); - - if (to_slice == from_slice && to_slice == size.get(1) * size.get(0)) - { - return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2), - direction, dep_events)}; - } - direction = deduce_memcpy_direction(q, to_ptr, from_ptr, direction); - size_t size_slice = size.get(1) * size.get(0); - switch (direction) - { - case host_to_host: - for (size_t z = 0; z < size.get(2); ++z) - { - unsigned char *to_ptr = to_surface; - const unsigned char *from_ptr = from_surface; - if (to_range.get(0) == from_range.get(0) && - to_range.get(0) == size.get(0)) - { - event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice, - direction, dep_events)); - } - else - { - for (size_t y = 0; y < size.get(1); ++y) - { - event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0), - direction, dep_events)); - to_ptr += to_range.get(0); - from_ptr += from_range.get(0); - } - } - to_surface += to_slice; - from_surface += from_slice; - } - break; - case host_to_device: - { - host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q, - event_list); - std::vector<sycl::event> host_events; - if (to_slice == size_slice) - { - // Copy host data to a temp host buffer with the shape of target. - host_events = - dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range, - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, - host_to_host, dep_events); - } - else - { - // Copy host data to a temp host buffer with the shape of target. - host_events = dpct_memcpy( - q, buf.get_ptr(), from_surface, to_range, from_range, - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host, - // If has padding data, not sure whether it is useless. So fill temp - // buffer with it. - std::vector<sycl::event>{ - dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(), - device_to_host, dep_events)}); - } - // Copy from temp host buffer to device with only one submit. - event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(), - buf.get_size(), host_to_device, - host_events)); - break; - } - case device_to_host: - { - host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q, - event_list); - // Copy from host temp buffer to host target with reshaping. - event_list = dpct_memcpy( - q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0), - sycl::id<3>(0, 0, 0), size, host_to_host, - // Copy from device to temp host buffer with only one submit. - std::vector<sycl::event>{dpct_memcpy(q, buf.get_ptr(), from_surface, - buf.get_size(), - device_to_host, dep_events)}); - break; - } - case device_to_device: - event_list.push_back(q.submit([&](sycl::handler &cgh){ - cgh.depends_on(dep_events); - cgh.parallel_for<class dpct_memcpy_3d_detail>( - size, - [=](sycl::id<3> id) { - to_surface[get_offset(id, to_slice, to_range.get(0))] = - from_surface[get_offset(id, from_slice, from_range.get(0))]; - }); })); - break; - default: - throw std::runtime_error("dpct_memcpy: invalid direction value"); - } - return event_list; - } - - /// memcpy 2D/3D matrix specified by pitched_data. - static inline std::vector<sycl::event> - dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id, - pitched_data from, sycl::id<3> from_id, sycl::range<3> size, - memcpy_direction direction = automatic) - { - return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(), - sycl::range<3>(to.get_pitch(), to.get_y(), 1), - sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id, - size, direction); - } - - /// memcpy 2D matrix with pitch. - static inline std::vector<sycl::event> - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, - size_t to_pitch, size_t from_pitch, size_t x, size_t y, - memcpy_direction direction = automatic) - { - return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1), - sycl::range<3>(from_pitch, y, 1), - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), - sycl::range<3>(x, y, 1), direction); - } - - namespace deprecated - { - - template <typename T, sycl::usm::alloc AllocKind> - class usm_allocator - { - private: - using Alloc = sycl::usm_allocator<T, AllocKind>; - Alloc _impl; - - public: - using value_type = typename std::allocator_traits<Alloc>::value_type; - using pointer = typename std::allocator_traits<Alloc>::pointer; - using const_pointer = typename std::allocator_traits<Alloc>::const_pointer; - using void_pointer = typename std::allocator_traits<Alloc>::void_pointer; - using const_void_pointer = - typename std::allocator_traits<Alloc>::const_void_pointer; - using reference = typename std::allocator_traits<Alloc>::value_type &; - using const_reference = - const typename std::allocator_traits<Alloc>::value_type &; - using difference_type = - typename std::allocator_traits<Alloc>::difference_type; - using size_type = typename std::allocator_traits<Alloc>::size_type; - using propagate_on_container_copy_assignment = typename std::allocator_traits< - Alloc>::propagate_on_container_copy_assignment; - using propagate_on_container_move_assignment = typename std::allocator_traits< - Alloc>::propagate_on_container_move_assignment; - using propagate_on_container_swap = - typename std::allocator_traits<Alloc>::propagate_on_container_swap; - using is_always_equal = - typename std::allocator_traits<Alloc>::is_always_equal; - - template <typename U> - struct rebind - { - typedef usm_allocator<U, AllocKind> other; - }; - - usm_allocator() : _impl(dpct::get_default_queue()) {} - ~usm_allocator() {} - usm_allocator(const usm_allocator &other) : _impl(other._impl) {} - usm_allocator(usm_allocator &&other) : _impl(std::move(other._impl)) {} - pointer address(reference r) { return &r; } - const_pointer address(const_reference r) { return &r; } - pointer allocate(size_type cnt, const_void_pointer hint = nullptr) - { - return std::allocator_traits<Alloc>::allocate(_impl, cnt, hint); - } - void deallocate(pointer p, size_type cnt) - { - std::allocator_traits<Alloc>::deallocate(_impl, p, cnt); - } - size_type max_size() const - { - return std::allocator_traits<Alloc>::max_size(_impl); - } - bool operator==(const usm_allocator &other) const { return _impl == other._impl; } - bool operator!=(const usm_allocator &other) const { return _impl != other._impl; } - }; - - } // namespace deprecated - - inline void dpct_free(void *ptr, - const sycl::queue &q) - { - if (ptr) - { - sycl::free(ptr, q.get_context()); - } - } - - template <typename T> - inline auto get_memory(const void *x) - { - T *new_x = reinterpret_cast<T *>(const_cast<void *>(x)); - return new_x; - } - - template <typename T> - inline typename DataType<T>::T2 get_value(const T *s, sycl::queue &q) - { - using Ty = typename DataType<T>::T2; - Ty s_h; - if (get_pointer_attribute(q, s) == pointer_access_attribute::device_only) - detail::dpct_memcpy(q, (void *)&s_h, (const void *)s, sizeof(T), device_to_host) - .wait(); - else - s_h = *reinterpret_cast<const Ty *>(s); - return s_h; - } - - } // namespace detail - - template <typename T> - inline auto get_value(const T *s, sycl::queue &q) - { - return detail::get_value(s, q); - } - - namespace detail - { - template <class Ta, class Tb, class Tc, class Ts> - inline void gemm_impl(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void *a, int lda, const void *b, - int ldb, const void *beta, void *c, int ldc) - { - Ts alpha_value = dpct::get_value(reinterpret_cast<const Ts *>(alpha), q); - Ts beta_value = dpct::get_value(reinterpret_cast<const Ts *>(beta), q); - auto data_a = get_memory<const Ta>(a); - auto data_b = get_memory<const Tb>(b); - auto data_c = get_memory<Tc>(c); - oneapi::mkl::blas::column_major::gemm( - q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda, - data_b, ldb, beta_value, data_c, ldc); - } - - template <typename VecT, class BinaryOperation, class = void> - class vectorized_binary - { - public: - inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op) - { - VecT v4; - for (size_t i = 0; i < v4.size(); ++i) - { - v4[i] = binary_op(a[i], b[i]); - } - return v4; - } - }; - - template <typename VecT, class BinaryOperation> - class vectorized_binary< - VecT, BinaryOperation, - std::void_t<std::invoke_result_t<BinaryOperation, VecT, VecT>>> - { - public: - inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op) - { - return binary_op(a, b).template as<VecT>(); - } - }; - - template <class Ta, class Tb, class Tc, class Ts> - inline void gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void **a, int lda, - const void **b, int ldb, const void *beta, void **c, - int ldc, int batch_size) - { - struct matrix_info_t - { - oneapi::mkl::transpose transpose_info[2]; - Ts value_info[2]; - std::int64_t size_info[3]; - std::int64_t ld_info[3]; - std::int64_t groupsize_info; - }; - - Ts alpha_value = dpct::get_value(reinterpret_cast<const Ts *>(alpha), q); - Ts beta_value = dpct::get_value(reinterpret_cast<const Ts *>(beta), q); - - matrix_info_t *matrix_info = - (matrix_info_t *)std::malloc(sizeof(matrix_info_t)); - matrix_info->transpose_info[0] = a_trans; - matrix_info->transpose_info[1] = b_trans; - matrix_info->value_info[0] = alpha_value; - matrix_info->value_info[1] = beta_value; - matrix_info->size_info[0] = m; - matrix_info->size_info[1] = n; - matrix_info->size_info[2] = k; - matrix_info->ld_info[0] = lda; - matrix_info->ld_info[1] = ldb; - matrix_info->ld_info[2] = ldc; - matrix_info->groupsize_info = batch_size; - - sycl::event e = oneapi::mkl::blas::column_major::gemm_batch( - q, matrix_info->transpose_info, matrix_info->transpose_info + 1, - matrix_info->size_info, matrix_info->size_info + 1, - matrix_info->size_info + 2, matrix_info->value_info, - reinterpret_cast<const Ta **>(a), matrix_info->ld_info, - reinterpret_cast<const Tb **>(b), matrix_info->ld_info + 1, - matrix_info->value_info + 1, reinterpret_cast<Tc **>(c), - matrix_info->ld_info + 2, 1, &(matrix_info->groupsize_info)); - - q.submit([&](sycl::handler &cgh) - { - cgh.depends_on(e); - cgh.host_task([=] { std::free(matrix_info); }); }); - } - - template <class Ta, class Tb, class Tc, class Ts> - inline void - gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, - int k, const void *alpha, const void *a, int lda, - long long int stride_a, const void *b, int ldb, - long long int stride_b, const void *beta, void *c, - int ldc, long long int stride_c, int batch_size) - { - Ts alpha_value = dpct::get_value(reinterpret_cast<const Ts *>(alpha), q); - Ts beta_value = dpct::get_value(reinterpret_cast<const Ts *>(beta), q); - auto data_a = get_memory<const Ta>(a); - auto data_b = get_memory<const Tb>(b); - auto data_c = get_memory<Tc>(c); - oneapi::mkl::blas::column_major::gemm_batch( - q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda, - stride_a, data_b, ldb, stride_b, beta_value, - data_c, ldc, stride_c, batch_size); - } - - } // namespace detail - - template <typename VecT, class BinaryOperation> - inline unsigned vectorized_binary(unsigned a, unsigned b, - const BinaryOperation binary_op) - { - sycl::vec<unsigned, 1> v0{a}, v1{b}; - auto v2 = v0.as<VecT>(); - auto v3 = v1.as<VecT>(); - auto v4 = - detail::vectorized_binary<VecT, BinaryOperation>()(v2, v3, binary_op); - v0 = v4.template as<sycl::vec<unsigned, 1>>(); - return v0; - } - - static void async_dpct_memcpy(void *to_ptr, const void *from_ptr, size_t size, - memcpy_direction direction = automatic, - sycl::queue &q = dpct::get_default_queue()) - { - detail::dpct_memcpy(q, to_ptr, from_ptr, size, direction); - } - - static inline unsigned int select_device(unsigned int id) - { - dev_mgr::instance().select_device(id); - return id; - } - - template <typename T> - T permute_sub_group_by_xor(sycl::sub_group g, T x, unsigned int mask, - unsigned int logical_sub_group_size = 32) - { - unsigned int id = g.get_local_linear_id(); - unsigned int start_index = - id / logical_sub_group_size * logical_sub_group_size; - unsigned int target_offset = (id % logical_sub_group_size) ^ mask; - return sycl::select_from_group(g, x, - target_offset < logical_sub_group_size - ? start_index + target_offset - : id); - } - - template <typename T> - sycl::vec<T, 4> extract_and_sign_or_zero_extend4(T val) - { - return sycl::vec<T, 1>(val) - .template as<sycl::vec< - std::conditional_t<std::is_signed_v<T>, int8_t, uint8_t>, 4>>() - .template convert<T>(); - } - - template <typename T1, typename T2> - using dot_product_acc_t = - std::conditional_t<std::is_unsigned_v<T1> && std::is_unsigned_v<T2>, - uint32_t, int32_t>; - - template <typename T1, typename T2, typename T3> - inline auto dp4a(T1 a, T2 b, T3 c) - { - dot_product_acc_t<T1, T2> res = c; - auto va = extract_and_sign_or_zero_extend4(a); - auto vb = extract_and_sign_or_zero_extend4(b); - res += va[0] * vb[0]; - res += va[1] * vb[1]; - res += va[2] * vb[2]; - res += va[3] * vb[3]; - return res; - } - - struct sub_sat - { - template <typename T> - auto operator()(const T x, const T y) const - { - return sycl::sub_sat(x, y); - } - }; - - template <typename S, typename T> - inline T vectorized_min(T a, T b) - { - sycl::vec<T, 1> v0{a}, v1{b}; - auto v2 = v0.template as<S>(); - auto v3 = v1.template as<S>(); - auto v4 = sycl::min(v2, v3); - v0 = v4.template as<sycl::vec<T, 1>>(); - return v0; - } - - inline float pow(const float a, const int b) { return sycl::pown(a, b); } - inline double pow(const double a, const int b) { return sycl::pown(a, b); } - inline float pow(const float a, const float b) { return sycl::pow(a, b); } - inline double pow(const double a, const double b) { return sycl::pow(a, b); } - template <typename T, typename U> - inline typename std::enable_if_t<std::is_floating_point_v<T>, T> - pow(const T a, const U b) - { - return sycl::pow(a, static_cast<T>(b)); - } - template <typename T, typename U> - inline typename std::enable_if_t<!std::is_floating_point_v<T>, double> - pow(const T a, const U b) - { - return sycl::pow(static_cast<double>(a), static_cast<double>(b)); - } - - inline double min(const double a, const float b) - { - return sycl::fmin(a, static_cast<double>(b)); - } - inline double min(const float a, const double b) - { - return sycl::fmin(static_cast<double>(a), b); - } - inline float min(const float a, const float b) { return sycl::fmin(a, b); } - inline double min(const double a, const double b) { return sycl::fmin(a, b); } - inline std::uint32_t min(const std::uint32_t a, const std::int32_t b) - { - return sycl::min(a, static_cast<std::uint32_t>(b)); - } - inline std::uint32_t min(const std::int32_t a, const std::uint32_t b) - { - return sycl::min(static_cast<std::uint32_t>(a), b); - } - inline std::int32_t min(const std::int32_t a, const std::int32_t b) - { - return sycl::min(a, b); - } - inline std::uint32_t min(const std::uint32_t a, const std::uint32_t b) - { - return sycl::min(a, b); - } - inline std::uint64_t min(const std::uint64_t a, const std::int64_t b) - { - return sycl::min(a, static_cast<std::uint64_t>(b)); - } - inline std::uint64_t min(const std::int64_t a, const std::uint64_t b) - { - return sycl::min(static_cast<std::uint64_t>(a), b); - } - inline std::int64_t min(const std::int64_t a, const std::int64_t b) - { - return sycl::min(a, b); - } - inline std::uint64_t min(const std::uint64_t a, const std::uint64_t b) - { - return sycl::min(a, b); - } - inline std::uint64_t min(const std::uint64_t a, const std::int32_t b) - { - return sycl::min(a, static_cast<std::uint64_t>(b)); - } - inline std::uint64_t min(const std::int32_t a, const std::uint64_t b) - { - return sycl::min(static_cast<std::uint64_t>(a), b); - } - inline std::uint64_t min(const std::uint64_t a, const std::uint32_t b) - { - return sycl::min(a, static_cast<std::uint64_t>(b)); - } - inline std::uint64_t min(const std::uint32_t a, const std::uint64_t b) - { - return sycl::min(static_cast<std::uint64_t>(a), b); - } - // max function overloads. - // For floating-point types, `float` or `double` arguments are acceptable. - // For integer types, `std::uint32_t`, `std::int32_t`, `std::uint64_t` or - // `std::int64_t` type arguments are acceptable. - inline double max(const double a, const float b) - { - return sycl::fmax(a, static_cast<double>(b)); - } - inline double max(const float a, const double b) - { - return sycl::fmax(static_cast<double>(a), b); - } - inline float max(const float a, const float b) { return sycl::fmax(a, b); } - inline double max(const double a, const double b) { return sycl::fmax(a, b); } - inline std::uint32_t max(const std::uint32_t a, const std::int32_t b) - { - return sycl::max(a, static_cast<std::uint32_t>(b)); - } - inline std::uint32_t max(const std::int32_t a, const std::uint32_t b) - { - return sycl::max(static_cast<std::uint32_t>(a), b); - } - inline std::int32_t max(const std::int32_t a, const std::int32_t b) - { - return sycl::max(a, b); - } - inline std::uint32_t max(const std::uint32_t a, const std::uint32_t b) - { - return sycl::max(a, b); - } - inline std::uint64_t max(const std::uint64_t a, const std::int64_t b) - { - return sycl::max(a, static_cast<std::uint64_t>(b)); - } - inline std::uint64_t max(const std::int64_t a, const std::uint64_t b) - { - return sycl::max(static_cast<std::uint64_t>(a), b); - } - inline std::int64_t max(const std::int64_t a, const std::int64_t b) - { - return sycl::max(a, b); - } - inline std::uint64_t max(const std::uint64_t a, const std::uint64_t b) - { - return sycl::max(a, b); - } - inline std::uint64_t max(const std::uint64_t a, const std::int32_t b) - { - return sycl::max(a, static_cast<std::uint64_t>(b)); - } - inline std::uint64_t max(const std::int32_t a, const std::uint64_t b) - { - return sycl::max(static_cast<std::uint64_t>(a), b); - } - inline std::uint64_t max(const std::uint64_t a, const std::uint32_t b) - { - return sycl::max(a, static_cast<std::uint64_t>(b)); - } - inline std::uint64_t max(const std::uint32_t a, const std::uint64_t b) - { - return sycl::max(static_cast<std::uint64_t>(a), b); - } - - inline void - has_capability_or_fail(const sycl::device &dev, - const std::initializer_list<sycl::aspect> &props) - { - for (const auto &it : props) - { - if (dev.has(it)) - continue; - switch (it) - { - case sycl::aspect::fp64: - throw std::runtime_error("'double' is not supported in '" + - dev.get_info<sycl::info::device::name>() + - "' device"); - break; - case sycl::aspect::fp16: - throw std::runtime_error("'half' is not supported in '" + - dev.get_info<sycl::info::device::name>() + - "' device"); - break; - default: -#define __SYCL_ASPECT(ASPECT, ID) \ - case sycl::aspect::ASPECT: \ - return #ASPECT; -#define __SYCL_ASPECT_DEPRECATED(ASPECT, ID, MESSAGE) __SYCL_ASPECT(ASPECT, ID) -#define __SYCL_ASPECT_DEPRECATED_ALIAS(ASPECT, ID, MESSAGE) - auto getAspectNameStr = [](sycl::aspect AspectNum) -> std::string - { - switch (AspectNum) - { -#include <sycl/info/aspects.def> -#include <sycl/info/aspects_deprecated.def> - default: - return "unknown aspect"; - } - }; -#undef __SYCL_ASPECT_DEPRECATED_ALIAS -#undef __SYCL_ASPECT_DEPRECATED -#undef __SYCL_ASPECT - throw std::runtime_error( - "'" + getAspectNameStr(it) + "' is not supported in '" + - dev.get_info<sycl::info::device::name>() + "' device"); - } - break; - } - } - - static inline unsigned int get_current_device_id() - { - return dev_mgr::instance().current_device_id(); - } - - static inline device_ext &get_current_device() - { - return dev_mgr::instance().current_device(); - } - - static inline sycl::queue &get_in_order_queue() - { - return dev_mgr::instance().current_device().in_order_queue(); - } - - static sycl::event - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size, - memcpy_direction direction, - const std::vector<sycl::event> &dep_events = {}) - { - if (!size) - return sycl::event{}; - return q.memcpy(to_ptr, from_ptr, size, dep_events); - GGML_UNUSED(direction); - } - - // Get actual copy range and make sure it will not exceed range. - static inline size_t get_copy_range(sycl::range<3> size, size_t slice, - size_t pitch) - { - return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0); - } - - static inline size_t get_offset(sycl::id<3> id, size_t slice, - size_t pitch) - { - return slice * id.get(2) + pitch * id.get(1) + id.get(0); - } - - /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr - /// and \p from_range to another specified by \p to_ptr and \p to_range. - static inline std::vector<sycl::event> - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, - sycl::range<3> to_range, sycl::range<3> from_range, - sycl::id<3> to_id, sycl::id<3> from_id, - sycl::range<3> size, memcpy_direction direction, - const std::vector<sycl::event> &dep_events = {}) - { - // RAII for host pointer - class host_buffer - { - void *_buf; - size_t _size; - sycl::queue &_q; - const std::vector<sycl::event> &_deps; // free operation depends - - public: - host_buffer(size_t size, sycl::queue &q, - const std::vector<sycl::event> &deps) - : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {} - void *get_ptr() const { return _buf; } - size_t get_size() const { return _size; } - ~host_buffer() - { - if (_buf) - { - _q.submit([&](sycl::handler &cgh) - { - cgh.depends_on(_deps); - cgh.host_task([buf = _buf] { std::free(buf); }); }); - } - } - }; - std::vector<sycl::event> event_list; - - size_t to_slice = to_range.get(1) * to_range.get(0), - from_slice = from_range.get(1) * from_range.get(0); - unsigned char *to_surface = - (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0)); - const unsigned char *from_surface = - (const unsigned char *)from_ptr + - get_offset(from_id, from_slice, from_range.get(0)); - - if (to_slice == from_slice && to_slice == size.get(1) * size.get(0)) - { - return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2), - direction, dep_events)}; - } - direction = detail::deduce_memcpy_direction(q, to_ptr, from_ptr, direction); - size_t size_slice = size.get(1) * size.get(0); - switch (direction) - { - case host_to_host: - for (size_t z = 0; z < size.get(2); ++z) - { - unsigned char *to_ptr = to_surface; - const unsigned char *from_ptr = from_surface; - if (to_range.get(0) == from_range.get(0) && - to_range.get(0) == size.get(0)) - { - event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice, - direction, dep_events)); - } - else - { - for (size_t y = 0; y < size.get(1); ++y) - { - event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0), - direction, dep_events)); - to_ptr += to_range.get(0); - from_ptr += from_range.get(0); - } - } - to_surface += to_slice; - from_surface += from_slice; - } - break; - case host_to_device: - { - host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q, - event_list); - std::vector<sycl::event> host_events; - if (to_slice == size_slice) - { - // Copy host data to a temp host buffer with the shape of target. - host_events = - dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range, - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, - host_to_host, dep_events); - } - else - { - // Copy host data to a temp host buffer with the shape of target. - host_events = dpct_memcpy( - q, buf.get_ptr(), from_surface, to_range, from_range, - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host, - // If has padding data, not sure whether it is useless. So fill temp - // buffer with it. - std::vector<sycl::event>{ - dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(), - device_to_host, dep_events)}); - } - // Copy from temp host buffer to device with only one submit. - event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(), - buf.get_size(), host_to_device, - host_events)); - break; - } - case device_to_host: - { - host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q, - event_list); - // Copy from host temp buffer to host target with reshaping. - event_list = dpct_memcpy( - q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0), - sycl::id<3>(0, 0, 0), size, host_to_host, - // Copy from device to temp host buffer with only one submit. - std::vector<sycl::event>{dpct_memcpy(q, buf.get_ptr(), from_surface, - buf.get_size(), - device_to_host, dep_events)}); - break; - } - case device_to_device: - event_list.push_back(q.submit([&](sycl::handler &cgh) - { - cgh.depends_on(dep_events); - cgh.parallel_for<class dpct_memcpy_3d_detail>( - size, - [=](sycl::id<3> id) { - to_surface[get_offset(id, to_slice, to_range.get(0))] = - from_surface[get_offset(id, from_slice, from_range.get(0))]; - }); })); - break; - default: - throw std::runtime_error("dpct_memcpy: invalid direction value"); - } - return event_list; - } - - /// memcpy 2D/3D matrix specified by pitched_data. - static inline std::vector<sycl::event> - dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id, - pitched_data from, sycl::id<3> from_id, sycl::range<3> size, - memcpy_direction direction = automatic) - { - return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(), - sycl::range<3>(to.get_pitch(), to.get_y(), 1), - sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id, - size, direction); - } - - /// memcpy 2D matrix with pitch. - static inline std::vector<sycl::event> - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, - size_t to_pitch, size_t from_pitch, size_t x, size_t y, - memcpy_direction direction = automatic) - { - return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1), - sycl::range<3>(from_pitch, y, 1), - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), - sycl::range<3>(x, y, 1), direction); - } - - inline void gemm(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void *a, library_data_t a_type, - int lda, const void *b, library_data_t b_type, int ldb, - const void *beta, void *c, library_data_t c_type, int ldc, - library_data_t scaling_type) - { - if (scaling_type == library_data_t::real_float && - c_type == library_data_t::complex_float) - { - scaling_type = library_data_t::complex_float; - } - else if (scaling_type == library_data_t::real_double && - c_type == library_data_t::complex_double) - { - scaling_type = library_data_t::complex_double; - } - - std::uint64_t key = - detail::get_type_combination_id(a_type, b_type, c_type, scaling_type); - switch (key) - { - case detail::get_type_combination_id( - library_data_t::real_float, library_data_t::real_float, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_impl<float, float, float, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_double, library_data_t::real_double, - library_data_t::real_double, library_data_t::real_double): - { - detail::gemm_impl<double, double, double, double>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_float, library_data_t::complex_float, - library_data_t::complex_float, library_data_t::complex_float): - { - detail::gemm_impl<std::complex<float>, std::complex<float>, - std::complex<float>, std::complex<float>>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_double, library_data_t::complex_double, - library_data_t::complex_double, library_data_t::complex_double): - { - detail::gemm_impl<std::complex<double>, std::complex<double>, - std::complex<double>, std::complex<double>>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_half): - { - detail::gemm_impl<sycl::half, sycl::half, sycl::half, - sycl::half>(q, a_trans, b_trans, m, n, k, alpha, a, - lda, b, ldb, beta, c, ldc); - break; - } -#ifdef __INTEL_MKL__ - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, float, - float>(q, a_trans, b_trans, m, n, k, alpha, a, lda, b, - ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_impl<sycl::half, sycl::half, float, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_float): - { - float alpha_value = - dpct::get_value(reinterpret_cast<const float *>(alpha), q); - float beta_value = - dpct::get_value(reinterpret_cast<const float *>(beta), q); - sycl::half alpha_half(alpha_value); - sycl::half beta_half(beta_value); - detail::gemm_impl<sycl::half, sycl::half, sycl::half, - sycl::half>(q, a_trans, b_trans, m, n, k, &alpha_half, - a, lda, b, ldb, &beta_half, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_impl<std::int8_t, std::int8_t, float, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_bfloat16, library_data_t::real_float): - { - detail::gemm_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, - oneapi::mkl::bfloat16, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_int32, library_data_t::real_int32): - { - float alpha_float = - dpct::get_value(reinterpret_cast<const std::int32_t *>(alpha), q); - float beta_float = - dpct::get_value(reinterpret_cast<const std::int32_t *>(beta), q); - detail::gemm_impl<std::int8_t, std::int8_t, std::int32_t, float>( - q, a_trans, b_trans, m, n, k, &alpha_float, a, lda, b, ldb, &beta_float, c, ldc); - break; - } -#endif // __INTEL_MKL__ - default: - throw std::runtime_error("the combination of data type is unsupported"); - } - } // gemm() - - /// Computes a batch of matrix-matrix product with general matrices. - /// \param [in] q The queue where the routine should be executed. - /// \param [in] a_trans Specifies the operation applied to A. - /// \param [in] b_trans Specifies the operation applied to B. - /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C. - /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C. - /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B). - /// \param [in] alpha Scaling factor for the matrix-matrix product. - /// \param [in] a Input matrix A. - /// \param [in] a_type Data type of the matrix A. - /// \param [in] lda Leading dimension of A. - /// \param [in] b Input matrix B. - /// \param [in] b_type Data type of the matrix B. - /// \param [in] ldb Leading dimension of B. - /// \param [in] beta Scaling factor for matrix C. - /// \param [in, out] c Input/Output matrix C. - /// \param [in] c_type Data type of the matrix C. - /// \param [in] ldc Leading dimension of C. - /// \param [in] batch_size Specifies the number of matrix multiply operations to perform. - /// \param [in] scaling_type Data type of the scaling factors. - inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void *a[], - library_data_t a_type, int lda, const void *b[], - library_data_t b_type, int ldb, const void *beta, - void *c[], library_data_t c_type, int ldc, - int batch_size, library_data_t scaling_type) - { - if (scaling_type == library_data_t::real_float && - c_type == library_data_t::complex_float) - { - scaling_type = library_data_t::complex_float; - } - else if (scaling_type == library_data_t::real_double && - c_type == library_data_t::complex_double) - { - scaling_type = library_data_t::complex_double; - } - - std::uint64_t key = - detail::get_type_combination_id(a_type, b_type, c_type, scaling_type); - switch (key) - { - case detail::get_type_combination_id( - library_data_t::real_float, library_data_t::real_float, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl<float, float, float, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_double, library_data_t::real_double, - library_data_t::real_double, library_data_t::real_double): - { - detail::gemm_batch_impl<double, double, double, double>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_float, library_data_t::complex_float, - library_data_t::complex_float, library_data_t::complex_float): - { - detail::gemm_batch_impl<std::complex<float>, std::complex<float>, - std::complex<float>, std::complex<float>>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_double, library_data_t::complex_double, - library_data_t::complex_double, library_data_t::complex_double): - { - detail::gemm_batch_impl<std::complex<double>, std::complex<double>, - std::complex<double>, std::complex<double>>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_half): - { - detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half, - sycl::half>(q, a_trans, b_trans, m, n, k, alpha, - a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } -#ifdef __INTEL_MKL__ - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_bfloat16, library_data_t::real_float): - { - detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, - oneapi::mkl::bfloat16, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, float, - float>(q, a_trans, b_trans, m, n, k, alpha, a, lda, - b, ldb, beta, c, ldc, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_int32, library_data_t::real_int32): - { - float alpha_float = - dpct::get_value(reinterpret_cast<const std::int32_t *>(alpha), q); - float beta_float = - dpct::get_value(reinterpret_cast<const std::int32_t *>(beta), q); - detail::gemm_batch_impl<std::int8_t, std::int8_t, std::int32_t, - float>(q, a_trans, b_trans, m, n, k, &alpha_float, - a, lda, b, ldb, &beta_float, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl<std::int8_t, std::int8_t, float, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl<sycl::half, sycl::half, float, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } -#endif - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_float): - { - float alpha_value = - dpct::get_value(reinterpret_cast<const float *>(alpha), q); - float beta_value = - dpct::get_value(reinterpret_cast<const float *>(beta), q); - sycl::half alpha_half(alpha_value); - sycl::half beta_half(beta_value); - detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half, sycl::half>( - q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, b, ldb, &beta_half, c, ldc, - batch_size); - break; - } - default: - throw std::runtime_error("the combination of data type is unsupported"); - } - } - - /// Computes a batch of matrix-matrix product with general matrices. - /// \param [in] q The queue where the routine should be executed. - /// \param [in] a_trans Specifies the operation applied to A. - /// \param [in] b_trans Specifies the operation applied to B. - /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C. - /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C. - /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B). - /// \param [in] alpha Scaling factor for the matrix-matrix product. - /// \param [in] a Input matrix A. - /// \param [in] a_type Data type of the matrix A. - /// \param [in] lda Leading dimension of A. - /// \param [in] stride_a Stride between the different A matrices. - /// \param [in] b Input matrix B. - /// \param [in] b_type Data type of the matrix B. - /// \param [in] ldb Leading dimension of B. - /// \param [in] stride_b Stride between the different B matrices. - /// \param [in] beta Scaling factor for matrix C. - /// \param [in, out] c Input/Output matrix C. - /// \param [in] c_type Data type of the matrix C. - /// \param [in] ldc Leading dimension of C. - /// \param [in] stride_c Stride between the different C matrices. - /// \param [in] batch_size Specifies the number of matrix multiply operations to perform. - /// \param [in] scaling_type Data type of the scaling factors. - inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void *a, library_data_t a_type, - int lda, long long int stride_a, const void *b, - library_data_t b_type, int ldb, long long int stride_b, - const void *beta, void *c, library_data_t c_type, - int ldc, long long int stride_c, int batch_size, - library_data_t scaling_type) - { - if (scaling_type == library_data_t::real_float && - c_type == library_data_t::complex_float) - { - scaling_type = library_data_t::complex_float; - } - else if (scaling_type == library_data_t::real_double && - c_type == library_data_t::complex_double) - { - scaling_type = library_data_t::complex_double; - } - - std::uint64_t key = - detail::get_type_combination_id(a_type, b_type, c_type, scaling_type); - switch (key) - { - case detail::get_type_combination_id( - library_data_t::real_float, library_data_t::real_float, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl<float, float, float, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_double, library_data_t::real_double, - library_data_t::real_double, library_data_t::real_double): - { - detail::gemm_batch_impl<double, double, double, double>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_float, library_data_t::complex_float, - library_data_t::complex_float, library_data_t::complex_float): - { - detail::gemm_batch_impl<std::complex<float>, std::complex<float>, - std::complex<float>, std::complex<float>>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_double, library_data_t::complex_double, - library_data_t::complex_double, library_data_t::complex_double): - { - detail::gemm_batch_impl<std::complex<double>, std::complex<double>, - std::complex<double>, std::complex<double>>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_half): - { - detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half, - sycl::half>(q, a_trans, b_trans, m, n, k, alpha, - a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } -#ifdef __INTEL_MKL__ - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_bfloat16, library_data_t::real_float): - { - detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, - oneapi::mkl::bfloat16, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, float, - float>(q, a_trans, b_trans, m, n, k, alpha, a, lda, - stride_a, b, ldb, stride_b, beta, c, ldc, - stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_int32, library_data_t::real_int32): - { - detail::gemm_batch_impl<std::int8_t, std::int8_t, std::int32_t, - std::int32_t>(q, a_trans, b_trans, m, n, k, alpha, - a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl<std::int8_t, std::int8_t, float, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl<sycl::half, sycl::half, float, float>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } -#endif - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_float): - { - float alpha_value = - dpct::get_value(reinterpret_cast<const float *>(alpha), q); - float beta_value = - dpct::get_value(reinterpret_cast<const float *>(beta), q); - sycl::half alpha_half(alpha_value); - sycl::half beta_half(beta_value); - detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half, sycl::half>( - q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, stride_a, b, ldb, stride_b, - &beta_half, c, ldc, stride_c, batch_size); - break; - } - default: - throw std::runtime_error("the combination of data type is unsupported"); - } - } - - static inline void - async_dpct_memcpy(void *to_ptr, size_t to_pitch, const void *from_ptr, - size_t from_pitch, size_t x, size_t y, - memcpy_direction direction = automatic, - sycl::queue &q = get_default_queue()) - { - detail::dpct_memcpy(q, to_ptr, from_ptr, to_pitch, from_pitch, x, y, - direction); - } - - using err0 = detail::generic_error_type<struct err0_tag, int>; - using err1 = detail::generic_error_type<struct err1_tag, int>; - - static inline void dpct_free(void *ptr, sycl::queue &q = get_default_queue()) { - detail::dpct_free(ptr, q); - } - - /// dpct accessor used as device function parameter. - template <class T, memory_region Memory, size_t Dimension> class accessor; - template <class T, memory_region Memory> class accessor<T, Memory, 3> { - public: - using memory_t = detail::memory_traits<Memory, T>; - using element_t = typename memory_t::element_t; - using pointer_t = typename memory_t::pointer_t; - using accessor_t = typename memory_t::template accessor_t<3>; - accessor(pointer_t data, const sycl::range<3> &in_range) - : _data(data), _range(in_range) {} - template <memory_region M = Memory> - accessor(typename std::enable_if<M != local, const accessor_t>::type &acc) - : accessor(acc, acc.get_range()) {} - accessor(const accessor_t &acc, const sycl::range<3> &in_range) - : accessor(acc.get_pointer(), in_range) {} - accessor<T, Memory, 2> operator[](size_t index) const { - sycl::range<2> sub(_range.get(1), _range.get(2)); - return accessor<T, Memory, 2>(_data + index * sub.size(), sub); - } - - pointer_t get_ptr() const { return _data; } - - private: - pointer_t _data; - sycl::range<3> _range; - }; - template <class T, memory_region Memory> class accessor<T, Memory, 2> { - public: - using memory_t = detail::memory_traits<Memory, T>; - using element_t = typename memory_t::element_t; - using pointer_t = typename memory_t::pointer_t; - using accessor_t = typename memory_t::template accessor_t<2>; - accessor(pointer_t data, const sycl::range<2> &in_range) - : _data(data), _range(in_range) {} - template <memory_region M = Memory> - accessor(typename std::enable_if<M != local, const accessor_t>::type &acc) - : accessor(acc, acc.get_range()) {} - accessor(const accessor_t &acc, const sycl::range<2> &in_range) - : accessor(acc.get_pointer(), in_range) {} - - pointer_t operator[](size_t index) const { - return _data + _range.get(1) * index; - } - - pointer_t get_ptr() const { return _data; } - - private: - pointer_t _data; - sycl::range<2> _range; - }; - - namespace detail { - /// Device variable with address space of shared, global or constant. - template <class T, memory_region Memory, size_t Dimension> class device_memory { - public: - using accessor_t = - typename detail::memory_traits<Memory, - T>::template accessor_t<Dimension>; - using value_t = typename detail::memory_traits<Memory, T>::value_t; - using dpct_accessor_t = dpct::accessor<T, Memory, Dimension>; - - device_memory() : device_memory(sycl::range<Dimension>(1)) {} - - /// Constructor of 1-D array with initializer list - device_memory(const sycl::range<Dimension> &in_range, - std::initializer_list<value_t> &&init_list) - : device_memory(in_range) { - assert(init_list.size() <= in_range.size()); - _host_ptr = (value_t *)std::malloc(_size); - std::memset(_host_ptr, 0, _size); - std::memcpy(_host_ptr, init_list.begin(), init_list.size() * sizeof(T)); - } - - /// Constructor of 2-D array with initializer list - template <size_t D = Dimension> - device_memory( - const typename std::enable_if<D == 2, sycl::range<2>>::type &in_range, - std::initializer_list<std::initializer_list<value_t>> &&init_list) - : device_memory(in_range) { - assert(init_list.size() <= in_range[0]); - _host_ptr = (value_t *)std::malloc(_size); - std::memset(_host_ptr, 0, _size); - auto tmp_data = _host_ptr; - for (auto sub_list : init_list) { - assert(sub_list.size() <= in_range[1]); - std::memcpy(tmp_data, sub_list.begin(), - sub_list.size() * sizeof(T)); - tmp_data += in_range[1]; - } - } - - /// Constructor with range - device_memory(const sycl::range<Dimension> &range_in) - : _size(range_in.size() * sizeof(T)), _range(range_in), - _reference(false), _host_ptr(nullptr), _device_ptr(nullptr) { - static_assert( - (Memory == global) || (Memory == constant) || (Memory == shared), - "device memory region should be global, constant or shared"); - // Make sure that singleton class mem_mgr and dev_mgr will destruct - // later than this. - detail::mem_mgr::instance(); - dev_mgr::instance(); - } - - /// Constructor with range - template <class... Args> - device_memory(Args... Arguments) - : device_memory(sycl::range<Dimension>(Arguments...)) {} - - ~device_memory() { - if (_device_ptr && !_reference) - dpct::dpct_free(_device_ptr); - if (_host_ptr) - std::free(_host_ptr); - } - - /// Allocate memory with default queue, and init memory if has initial - /// value. - void init() { init(dpct::get_default_queue()); } - /// Allocate memory with specified queue, and init memory if has initial - /// value. - void init(sycl::queue &q) { - if (_device_ptr) - return; - if (!_size) - return; - allocate_device(q); - if (_host_ptr) - detail::dpct_memcpy(q, _device_ptr, _host_ptr, _size, - host_to_device); - } - - /// The variable is assigned to a device pointer. - void assign(value_t *src, size_t size) { - this->~device_memory(); - new (this) device_memory(src, size); - } - - /// Get memory pointer of the memory object, which is virtual pointer when - /// usm is not used, and device pointer when usm is used. - value_t *get_ptr() { return get_ptr(get_default_queue()); } - /// Get memory pointer of the memory object, which is virtual pointer when - /// usm is not used, and device pointer when usm is used. - value_t *get_ptr(sycl::queue &q) { - init(q); - return _device_ptr; - } - - /// Get the device memory object size in bytes. - size_t get_size() { return _size; } - - template <size_t D = Dimension> - typename std::enable_if<D == 1, T>::type &operator[](size_t index) { - init(); - return _device_ptr[index]; - } - - /// Get dpct::accessor with dimension info for the device memory object - /// when usm is used and dimension is greater than 1. - template <size_t D = Dimension> - typename std::enable_if<D != 1, dpct_accessor_t>::type - get_access([[maybe_unused]] sycl::handler &cgh) { - return dpct_accessor_t((T *)_device_ptr, _range); - } - - private: - device_memory(value_t *memory_ptr, size_t size) - : _size(size), _range(size / sizeof(T)), _reference(true), - _device_ptr(memory_ptr) {} - - void allocate_device(sycl::queue &q) { - #ifndef DPCT_USM_LEVEL_NONE - if (Memory == shared) { - _device_ptr = (value_t *)sycl::malloc_shared(_size, q.get_device(), - q.get_context()); - return; - } - #ifdef SYCL_EXT_ONEAPI_USM_DEVICE_READ_ONLY - if (Memory == constant) { - _device_ptr = (value_t *)sycl::malloc_device( - _size, q.get_device(), q.get_context(), - sycl::ext::oneapi::property::usm::device_read_only()); - return; - } - #endif - #endif - _device_ptr = (value_t *)detail::dpct_malloc(_size, q); - } - - size_t _size; - sycl::range<Dimension> _range; - bool _reference; - value_t *_host_ptr; - value_t *_device_ptr; - }; - template <class T, memory_region Memory> - class device_memory<T, Memory, 0> : public device_memory<T, Memory, 1> { - public: - using base = device_memory<T, Memory, 1>; - using value_t = typename base::value_t; - using accessor_t = - typename detail::memory_traits<Memory, T>::template accessor_t<0>; - - /// Constructor with initial value. - device_memory(const value_t &val) : base(sycl::range<1>(1), {val}) {} - - /// Default constructor - device_memory() : base(1) {} - }; - } // namespace detail - - template <class T, size_t Dimension> - using global_memory = detail::device_memory<T, global, Dimension>; - template <class T, size_t Dimension> - using constant_memory = detail::device_memory<T, constant, Dimension>; - template <class T, size_t Dimension> - using shared_memory = detail::device_memory<T, shared, Dimension>; - - - template <typename T, - sycl::access::address_space addressSpace = - sycl::access::address_space::global_space, - sycl::memory_order memoryOrder = sycl::memory_order::relaxed, - sycl::memory_scope memoryScope = sycl::memory_scope::device> - inline T atomic_fetch_add(T *addr, T operand) { - auto atm = - sycl::atomic_ref<T, memoryOrder, memoryScope, addressSpace>(addr[0]); - return atm.fetch_add(operand); - } - - template <sycl::access::address_space addressSpace = - sycl::access::address_space::global_space, - sycl::memory_order memoryOrder = sycl::memory_order::relaxed, - sycl::memory_scope memoryScope = sycl::memory_scope::device, - typename T1, typename T2> - inline T1 atomic_fetch_add(T1 *addr, T2 operand) { - auto atm = - sycl::atomic_ref<T1, memoryOrder, memoryScope, addressSpace>(addr[0]); - return atm.fetch_add(operand); - } - - template <typename T, sycl::access::address_space addressSpace = - sycl::access::address_space::global_space> - inline T atomic_fetch_add(T *addr, T operand, - sycl::memory_order memoryOrder) { - switch (memoryOrder) { - case sycl::memory_order::relaxed: - return atomic_fetch_add<T, addressSpace, sycl::memory_order::relaxed, - sycl::memory_scope::device>(addr, operand); - case sycl::memory_order::acq_rel: - return atomic_fetch_add<T, addressSpace, sycl::memory_order::acq_rel, - sycl::memory_scope::device>(addr, operand); - case sycl::memory_order::seq_cst: - return atomic_fetch_add<T, addressSpace, sycl::memory_order::seq_cst, - sycl::memory_scope::device>(addr, operand); - default: - assert(false && "Invalid memory_order for atomics. Valid memory_order for " - "atomics are: sycl::memory_order::relaxed, " - "sycl::memory_order::acq_rel, sycl::memory_order::seq_cst!"); - } - } - - template <sycl::access::address_space addressSpace = - sycl::access::address_space::global_space, - typename T1, typename T2> - inline T1 atomic_fetch_add(T1 *addr, T2 operand, - sycl::memory_order memoryOrder) { - atomic_fetch_add<T1, addressSpace>(addr, operand, memoryOrder); - } - -} // COPY from DPCT head files - -#endif // GGML_SYCL_DPCT_HELPER_HPP diff --git a/ggml-sycl/mmq.cpp b/ggml-sycl/mmq.cpp deleted file mode 100644 index b514f004..00000000 --- a/ggml-sycl/mmq.cpp +++ /dev/null @@ -1,3031 +0,0 @@ -// -// 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 -// - -#include "mmq.hpp" -#include "vecdotq.hpp" - -typedef void (*allocate_tiles_sycl_t)( - int** x_ql, - sycl::half2** x_dm, - int** x_qh, - int** x_sc); -typedef void (*load_tiles_sycl_t)( - const void* __restrict__ vx, - int* __restrict__ x_ql, - sycl::half2* __restrict__ x_dm, - int* __restrict__ x_qh, - int* __restrict__ x_sc, - const int& i_offset, - const int& i_max, - const int& k, - const int& blocks_per_row); -typedef float (*vec_dot_q_mul_mat_sycl_t)( - const int* __restrict__ x_ql, - const sycl::half2* __restrict__ x_dm, - const int* __restrict__ x_qh, - const int* __restrict__ x_sc, - const int* __restrict__ y_qs, - const sycl::half2* __restrict__ y_ms, - const int& i, - const int& j, - const int& k); - - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q4_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_qs_q4_0, float *tile_x_d_q4_0) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_qs_q4_0; - *x_dm = (sycl::half2 *)tile_x_d_q4_0; -} - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q4_0(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI4_0; - const int kqsx = k % QI4_0; - - const block_q4_0 * bx0 = (const block_q4_0 *) vx; - - float * x_dmf = (float *) x_dm; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx); - // x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbx] = bxi->d; - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI4_0; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_0) { - int i = i0 + i_offset * QI4_0 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbxd] = bxi->d; - } -} - -static __dpct_inline__ float vec_dot_q4_0_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); - const float * x_dmf = (const float *) x_dm; - - int u[2*VDR_Q4_0_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) { - u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; - u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_0) % WARP_SIZE]; - } - - return vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ> - (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dmf[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k/QI4_0], - y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); -} - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q4_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_qs_q4_1, sycl::half2 *tile_x_dm_q4_1) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_qs_q4_1; - *x_dm = tile_x_dm_q4_1; -} - - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q4_1(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI4_1; - const int kqsx = k % QI4_1; - - const block_q4_1 * bx0 = (const block_q4_1 *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI4_1; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_1) { - int i = i0 + i_offset * QI4_1 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dm[i * (WARP_SIZE/QI4_1) + i / QI4_1 + kbxd] = bxi->dm; - } -} - -static __dpct_inline__ float vec_dot_q4_1_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); - - int u[2*VDR_Q4_1_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) { - u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; - u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_1) % WARP_SIZE]; - } - - return vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ> - (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k/QI4_1], - y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); -} - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q5_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q5_0, float *tile_x_d_q5_0) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_ql_q5_0; - *x_dm = (sycl::half2 *)tile_x_d_q5_0; -} - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q5_0(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI5_0; - const int kqsx = k % QI5_0; - - const block_q5_0 * bx0 = (const block_q5_0 *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbx; - - const int ql = get_int_from_uint8(bxi->qs, kqsx); - const int qh = get_int_from_uint8(bxi->qh, 0) >> (4 * (k % QI5_0)); - - int qs0 = (ql >> 0) & 0x0F0F0F0F; - qs0 |= (qh << 4) & 0x00000010; // 0 -> 4 - qs0 |= (qh << 11) & 0x00001000; // 1 -> 12 - qs0 |= (qh << 18) & 0x00100000; // 2 -> 20 - qs0 |= (qh << 25) & 0x10000000; // 3 -> 28 - qs0 = dpct::vectorized_binary<sycl::char4>( - qs0, 0x10101010, dpct::sub_sat()); // subtract 16 - - x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0; - - int qs1 = (ql >> 4) & 0x0F0F0F0F; - qs1 |= (qh >> 12) & 0x00000010; // 16 -> 4 - qs1 |= (qh >> 5) & 0x00001000; // 17 -> 12 - qs1 |= (qh << 2) & 0x00100000; // 18 -> 20 - qs1 |= (qh << 9) & 0x10000000; // 19 -> 28 - qs1 = dpct::vectorized_binary<sycl::char4>( - qs1, 0x10101010, dpct::sub_sat()); // subtract 16 - - x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1; - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI5_0; - const int kbxd = k % blocks_per_tile_x_row; - float * x_dmf = (float *) x_dm; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_0) { - int i = i0 + i_offset * QI5_0 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd] = bxi->d; - } -} - -static __dpct_inline__ float vec_dot_q5_0_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); - const int index_bx = i * (WARP_SIZE/QI5_0) + i/QI5_0 + k/QI5_0; - const float * x_dmf = (const float *) x_dm; - const float * y_df = (const float *) y_ds; - - int u[2*VDR_Q5_0_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < VDR_Q5_0_Q8_1_MMQ; ++l) { - u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; - u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_0) % WARP_SIZE]; - } - - return vec_dot_q8_0_q8_1_impl<QR5_0*VDR_Q5_0_Q8_1_MMQ> - (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dmf[index_bx], y_df[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); -} - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q5_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q5_1, sycl::half2 *tile_x_dm_q5_1) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_ql_q5_1; - *x_dm = tile_x_dm_q5_1; -} - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q5_1(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI5_1; - const int kqsx = k % QI5_1; - - const block_q5_1 * bx0 = (const block_q5_1 *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbx; - - const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx); - const int qh = get_int_from_uint8_aligned(bxi->qh, 0) >> (4 * (k % QI5_1)); - - int qs0 = (ql >> 0) & 0x0F0F0F0F; - qs0 |= (qh << 4) & 0x00000010; // 0 -> 4 - qs0 |= (qh << 11) & 0x00001000; // 1 -> 12 - qs0 |= (qh << 18) & 0x00100000; // 2 -> 20 - qs0 |= (qh << 25) & 0x10000000; // 3 -> 28 - - x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0; - - int qs1 = (ql >> 4) & 0x0F0F0F0F; - qs1 |= (qh >> 12) & 0x00000010; // 16 -> 4 - qs1 |= (qh >> 5) & 0x00001000; // 17 -> 12 - qs1 |= (qh << 2) & 0x00100000; // 18 -> 20 - qs1 |= (qh << 9) & 0x10000000; // 19 -> 28 - - x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1; - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI5_1; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_1) { - int i = i0 + i_offset * QI5_1 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dm[i * (WARP_SIZE/QI5_1) + i / QI5_1 + kbxd] = bxi->dm; - } -} - -static __dpct_inline__ float vec_dot_q5_1_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); - const int index_bx = i * (WARP_SIZE/QI5_1) + + i/QI5_1 + k/QI5_1; - - int u[2*VDR_Q5_1_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < VDR_Q5_1_Q8_1_MMQ; ++l) { - u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; - u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_1) % WARP_SIZE]; - } - - return vec_dot_q8_1_q8_1_impl<QR5_1*VDR_Q5_1_Q8_1_MMQ> - (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dm[index_bx], y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); -} - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q8_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_qs_q8_0, float *tile_x_d_q8_0) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_qs_q8_0; - *x_dm = (sycl::half2 *)tile_x_d_q8_0; -} - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q8_0(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI8_0; - const int kqsx = k % QI8_0; - float * x_dmf = (float *) x_dm; - - const block_q8_0 * bx0 = (const block_q8_0 *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_int8(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI8_0; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI8_0) { - int i = i0 + i_offset * QI8_0 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI8_0) + i / QI8_0 + kbxd] = bxi->d; - } -} - -static __dpct_inline__ float vec_dot_q8_0_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const float * x_dmf = (const float *) x_dm; - const float * y_df = (const float *) y_ds; - - return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMQ> - (&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[j * WARP_SIZE + k], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k/QI8_0], - y_df[j * (WARP_SIZE/QI8_1) + k/QI8_1]); -} - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q2_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q2_K, sycl::half2 *tile_x_dm_q2_K, - int *tile_x_sc_q2_K) { - (void)x_qh; - - *x_ql = tile_x_ql_q2_K; - *x_dm = tile_x_dm_q2_K; - *x_sc = tile_x_sc_q2_K; -} - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q2_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI2_K; - const int kqsx = k % QI2_K; - - const block_q2_K * bx0 = (const block_q2_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q2_K * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI2_K; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI2_K) { - int i = (i0 + i_offset * QI2_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q2_K * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dm[i * (WARP_SIZE/QI2_K) + i / QI2_K + kbxd] = bxi->dm; - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) { - int i = i0 + i_offset * 4 + k / (WARP_SIZE/4); - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q2_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI2_K/4); - - x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = get_int_from_uint8_aligned(bxi->scales, k % (QI2_K/4)); - } -} - -#define VDR_Q2_K_Q8_1_MMQ 2 -// contiguous u/y values -static __dpct_inline__ float -vec_dot_q2_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u, - const uint8_t *__restrict__ scales, - const sycl::half2 &dm2, const float &d8) { - - int sumi_d = 0; - int sumi_m = 0; - -#pragma unroll - for (int i0 = 0; i0 < QI8_1; i0 += QI8_1/2) { - int sumi_d_sc = 0; - - const int sc = scales[i0 / (QI8_1/2)]; - - // fill int with 4x m - int m = sc >> 4; - m |= m << 8; - m |= m << 16; - -#pragma unroll - for (int i = i0; i < i0 + QI8_1/2; ++i) { - sumi_d_sc = dpct::dp4a(v[i], u[i], sumi_d_sc); // SIMD dot product - sumi_m = dpct::dp4a(m, u[i], - sumi_m); // multiply sum of q8_1 values with m - } - - sumi_d += sumi_d_sc * (sc & 0xF); - } - - const sycl::float2 dm2f = - dm2.convert<float, sycl::rounding_mode::automatic>(); - - return d8 * (dm2f.x() * sumi_d - dm2f.y() * sumi_m); -} - -static __dpct_inline__ float vec_dot_q2_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; - - const int kbx = k / QI2_K; - const int ky = (k % QI2_K) * QR2_K; - const float * y_df = (const float *) y_ds; - - int v[QR2_K*VDR_Q2_K_Q8_1_MMQ]; - - const int kqsx = i * (WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2); - const int shift = 2 * ((ky % (2*QI2_K)) / (QI2_K/2)); - -#pragma unroll - for (int l = 0; l < QR2_K*VDR_Q2_K_Q8_1_MMQ; ++l) { - v[l] = (x_ql[kqsx + l] >> shift) & 0x03030303; - } - - const uint8_t * scales = ((const uint8_t *) &x_sc[i * (WARP_SIZE/4) + i/4 + kbx*4]) + ky/4; - - const int index_y = j * WARP_SIZE + (QR2_K*k) % WARP_SIZE; - return vec_dot_q2_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dm[i * (WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[index_y/QI8_1]); -} - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q3_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q3_K, sycl::half2 *tile_x_dm_q3_K, - int *tile_x_qh_q3_K, int *tile_x_sc_q3_K) { - - *x_ql = tile_x_ql_q3_K; - *x_dm = tile_x_dm_q3_K; - *x_qh = tile_x_qh_q3_K; - *x_sc = tile_x_sc_q3_K; -} - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q3_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI3_K; - const int kqsx = k % QI3_K; - - const block_q3_K * bx0 = (const block_q3_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q3_K * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI3_K; - const int kbxd = k % blocks_per_tile_x_row; - float * x_dmf = (float *) x_dm; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI3_K) { - int i = (i0 + i_offset * QI3_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q3_K * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI3_K) + i / QI3_K + kbxd] = bxi->d; - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 2) { - int i = i0 + i_offset * 2 + k / (WARP_SIZE/2); - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/2)) / (QI3_K/2); - - // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted - x_qh[i * (WARP_SIZE/2) + i / 2 + k % (WARP_SIZE/2)] = ~get_int_from_uint8(bxi->hmask, k % (QI3_K/2)); - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) { - int i = i0 + i_offset * 4 + k / (WARP_SIZE/4); - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI3_K/4); - - const int ksc = k % (QI3_K/4); - - const int ksc_low = ksc % (QI3_K/8); - const int shift_low = 4 * (ksc / (QI3_K/8)); - const int sc_low = (get_int_from_uint8(bxi->scales, ksc_low) >> shift_low) & 0x0F0F0F0F; - - const int ksc_high = QI3_K/8; - const int shift_high = 2 * ksc; - const int sc_high = ((get_int_from_uint8(bxi->scales, ksc_high) >> shift_high) << 4) & 0x30303030; - - const int sc = dpct::vectorized_binary<sycl::char4>( - sc_low | sc_high, 0x20202020, dpct::sub_sat()); - - x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = sc; - } -} - -#define VDR_Q3_K_Q8_1_MMQ 2 -// contiguous u/y values -static __dpct_inline__ float -vec_dot_q3_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u, - const int8_t *__restrict__ scales, const float &d3, - const float &d8) { - - int sumi = 0; - -#pragma unroll - for (int i0 = 0; i0 < QR3_K*VDR_Q3_K_Q8_1_MMQ; i0 += QI8_1/2) { - int sumi_sc = 0; - - for (int i = i0; i < i0 + QI8_1/2; ++i) { - sumi_sc = dpct::dp4a(v[i], u[i], sumi_sc); // SIMD dot product - } - - sumi += sumi_sc * scales[i0 / (QI8_1/2)]; - } - - return d3*d8 * sumi; -} - -static __dpct_inline__ float vec_dot_q3_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - - const int kbx = k / QI3_K; - const int ky = (k % QI3_K) * QR3_K; - const float * x_dmf = (const float *) x_dm; - const float * y_df = (const float *) y_ds; - - const int8_t * scales = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4; - - int v[QR3_K*VDR_Q3_K_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < QR3_K*VDR_Q3_K_Q8_1_MMQ; ++l) { - const int kqsx = i * (WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2); - const int shift = 2 * ((ky % 32) / 8); - const int vll = (x_ql[kqsx + l] >> shift) & 0x03030303; - - const int vh = x_qh[i * (WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8); - const int vlh = (vh << 2) & 0x04040404; - - v[l] = dpct::vectorized_binary<sycl::char4>(vll, vlh, dpct::sub_sat()); - } - - const int index_y = j * WARP_SIZE + (k*QR3_K) % WARP_SIZE; - return vec_dot_q3_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dmf[i * (WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[index_y/QI8_1]); -} - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q4_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q4_K, sycl::half2 *tile_x_dm_q4_K, - int *tile_x_sc_q4_K) { - (void)x_qh; - - *x_ql = tile_x_ql_q4_K; - *x_dm = tile_x_dm_q4_K; - *x_sc = tile_x_sc_q4_K; -} - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q4_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI4_K; // == 0 if QK_K == 256 - const int kqsx = k % QI4_K; // == k if QK_K == 256 - - const block_q4_K * bx0 = (const block_q4_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_K * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI4_K; // == 1 if QK_K == 256 - const int kbxd = k % blocks_per_tile_x_row; // == 0 if QK_K == 256 - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_K) { - int i = (i0 + i_offset * QI4_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd; - -#if QK_K == 256 - x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm; -#else - x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = {bxi->dm[0], bxi->dm[1]}; -#endif - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) { - int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI4_K/8); - - const int * scales = (const int *) bxi->scales; - - const int ksc = k % (WARP_SIZE/8); - - // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8 - int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits - scales8 |= (scales[ksc/2] >> (2 * (ksc % 2))) & 0x30303030; // upper 2 bits - - x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8; - } -} - - -#define VDR_Q4_K_Q8_1_MMQ 8 - -// contiguous u/y values -static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_mmq( - const int *__restrict__ v, const int *__restrict__ u, - const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m, - const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) { - - float sumf_d = 0.0f; - float sumf_m = 0.0f; - -#pragma unroll - for (int i = 0; i < QR4_K*VDR_Q4_K_Q8_1_MMQ/QI8_1; ++i) { - int sumi_d = 0; - -#pragma unroll - for (int j = 0; j < QI8_1; ++j) { - sumi_d = dpct::dp4a((v[j] >> (4 * i)) & 0x0F0F0F0F, - u[i * QI8_1 + j], sumi_d); // SIMD dot product - } - - const sycl::float2 ds8f = - ds8[i].convert<float, sycl::rounding_mode::automatic>(); - - sumf_d += ds8f.x() * (sc[i] * sumi_d); - sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val - } - - const sycl::float2 dm4f = - dm4.convert<float, sycl::rounding_mode::automatic>(); - - return dm4f.x() * sumf_d - dm4f.y() * sumf_m; -} - - -static __dpct_inline__ float vec_dot_q4_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; - - const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2*((k % 16) / 8); - - const int index_y = j * WARP_SIZE + (QR4_K*k) % WARP_SIZE; - return vec_dot_q4_K_q8_1_impl_mmq(&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[index_y], sc, sc+8, - x_dm[i * (WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[index_y/QI8_1]); -} - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q5_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q5_K, sycl::half2 *tile_x_dm_q5_K, - int *tile_x_sc_q5_K) { - (void)x_qh; - - *x_ql = tile_x_ql_q5_K; - *x_dm = tile_x_dm_q5_K; - *x_sc = tile_x_sc_q5_K; -} - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q5_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI5_K; // == 0 if QK_K == 256 - const int kqsx = k % QI5_K; // == k if QK_K == 256 - - const block_q5_K * bx0 = (const block_q5_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_K * bxi = bx0 + i*blocks_per_row + kbx; - const int ky = QR5_K*kqsx; - - const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx); - const int ql0 = (ql >> 0) & 0x0F0F0F0F; - const int ql1 = (ql >> 4) & 0x0F0F0F0F; - - const int qh = get_int_from_uint8_aligned(bxi->qh, kqsx % (QI5_K/4)); - const int qh0 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 0)) << 4) & 0x10101010; - const int qh1 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 1)) << 4) & 0x10101010; - - const int kq0 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + 0; - const int kq1 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + (QI5_K/4); - - x_ql[i * (2*WARP_SIZE + 1) + kq0] = ql0 | qh0; - x_ql[i * (2*WARP_SIZE + 1) + kq1] = ql1 | qh1; - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI5_K; // == 1 if QK_K == 256 - const int kbxd = k % blocks_per_tile_x_row; // == 0 if QK_K == 256 - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_K) { - int i = (i0 + i_offset * QI5_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd; - -#if QK_K == 256 - x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm; -#endif - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) { - int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI5_K/8); - - const int * scales = (const int *) bxi->scales; - - const int ksc = k % (WARP_SIZE/8); - - // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8 - int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits - scales8 |= (scales[ksc/2] >> (2 * (ksc % 2))) & 0x30303030; // upper 2 bits - - x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8; - } -} - -#define VDR_Q5_K_Q8_1_MMQ 8 - -// contiguous u/y values -static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_mmq( - const int *__restrict__ v, const int *__restrict__ u, - const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m, - const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) { - - float sumf_d = 0.0f; - float sumf_m = 0.0f; - -#pragma unroll - for (int i = 0; i < QR5_K*VDR_Q5_K_Q8_1_MMQ/QI8_1; ++i) { - int sumi_d = 0; - -#pragma unroll - for (int j = 0; j < QI8_1; ++j) { - sumi_d = dpct::dp4a(v[i * QI8_1 + j], u[i * QI8_1 + j], - sumi_d); // SIMD dot product - } - - const sycl::float2 ds8f = - ds8[i].convert<float, sycl::rounding_mode::automatic>(); - - sumf_d += ds8f.x() * (sc[i] * sumi_d); - sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val - } - - const sycl::float2 dm4f = - dm4.convert<float, sycl::rounding_mode::automatic>(); - - return dm4f.x() * sumf_d - dm4f.y() * sumf_m; -} - -static __dpct_inline__ float vec_dot_q5_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; - - const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2 * ((k % 16) / 8); - - const int index_x = i * (QR5_K*WARP_SIZE + 1) + QR5_K*k; - const int index_y = j * WARP_SIZE + (QR5_K*k) % WARP_SIZE; - return vec_dot_q5_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, sc+8, - x_dm[i * (WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[index_y/QI8_1]); -} - -template <int mmq_y> -static __dpct_inline__ void -allocate_tiles_q6_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_sc) { - (void)x_qh; - - *x_ql = tile_x_ql; - *x_dm = tile_x_dm; - *x_sc = tile_x_sc; -} - -template <int mmq_y, int nwarps, bool need_check> -static __dpct_inline__ void -load_tiles_q6_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI6_K; // == 0 if QK_K == 256 - const int kqsx = k % QI6_K; // == k if QK_K == 256 - - const block_q6_K * bx0 = (const block_q6_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q6_K * bxi = bx0 + i*blocks_per_row + kbx; - const int ky = QR6_K*kqsx; - - const int ql = get_int_from_uint8(bxi->ql, kqsx); - const int ql0 = (ql >> 0) & 0x0F0F0F0F; - const int ql1 = (ql >> 4) & 0x0F0F0F0F; - - const int qh = get_int_from_uint8(bxi->qh, (QI6_K/4) * (kqsx / (QI6_K/2)) + kqsx % (QI6_K/4)); - const int qh0 = ((qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) << 4) & 0x30303030; - const int qh1 = (qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) & 0x30303030; - - const int kq0 = ky - ky % QI6_K + k % (QI6_K/2) + 0; - const int kq1 = ky - ky % QI6_K + k % (QI6_K/2) + (QI6_K/2); - - x_ql[i * (2 * WARP_SIZE + 1) + kq0] = - dpct::vectorized_binary<sycl::char4>(ql0 | qh0, 0x20202020, - dpct::sub_sat()); - x_ql[i * (2 * WARP_SIZE + 1) + kq1] = - dpct::vectorized_binary<sycl::char4>(ql1 | qh1, 0x20202020, - dpct::sub_sat()); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI6_K; // == 1 if QK_K == 256 - const int kbxd = k % blocks_per_tile_x_row; // == 0 if QK_K == 256 - float * x_dmf = (float *) x_dm; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI6_K) { - int i = (i0 + i_offset * QI6_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q6_K * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI6_K) + i / QI6_K + kbxd] = bxi->d; - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) { - int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q6_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / 4; - - x_sc[i * (WARP_SIZE/8) + i / 8 + k % (WARP_SIZE/8)] = get_int_from_int8(bxi->scales, k % (QI6_K/8)); - } -} - -#define VDR_Q6_K_Q8_1_MMQ 8 - -// contiguous u/y values -static __dpct_inline__ float -vec_dot_q6_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u, - const int8_t *__restrict__ sc, const float &d6, - const float *__restrict__ d8) { - - float sumf_d = 0.0f; - -#pragma unroll - for (int i0 = 0; i0 < VDR_Q6_K_Q8_1_MMQ; i0 += 4) { - sycl::int2 sumi_d = {0, 0}; // 2 q6_K scales per q8_1 scale - -#pragma unroll - for (int i = i0; i < i0 + 2; ++i) { - sumi_d.x() = dpct::dp4a(v[2 * i + 0], u[2 * i + 0], - sumi_d.x()); // SIMD dot product - sumi_d.x() = dpct::dp4a(v[2 * i + 1], u[2 * i + 1], - sumi_d.x()); // SIMD dot product - - sumi_d.y() = dpct::dp4a(v[2 * i + 4], u[2 * i + 4], - sumi_d.y()); // SIMD dot product - sumi_d.y() = dpct::dp4a(v[2 * i + 5], u[2 * i + 5], - sumi_d.y()); // SIMD dot product - } - - sumf_d += d8[i0 / 4] * - (sc[i0 / 2 + 0] * sumi_d.x() + sc[i0 / 2 + 1] * sumi_d.y()); - } - - return d6 * sumf_d; -} - -static __dpct_inline__ float vec_dot_q6_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; - - const float * x_dmf = (const float *) x_dm; - const float * y_df = (const float *) y_ds; - - const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/8]); - - const int index_x = i * (QR6_K*WARP_SIZE + 1) + QR6_K*k; - const int index_y = j * WARP_SIZE + (QR6_K*k) % WARP_SIZE; - return vec_dot_q6_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, x_dmf[i * (WARP_SIZE/QI6_K) + i/QI6_K], &y_df[index_y/QI8_1]); -} - -template <int qk, int qr, int qi, bool need_sum, typename block_q_t, int mmq_x, - int mmq_y, int nwarps, load_tiles_sycl_t load_tiles, int vdr, - vec_dot_q_mul_mat_sycl_t vec_dot> -/* -DPCT1110:8: The total declared local variable size in device function mul_mat_q -exceeds 128 bytes and may cause high register pressure. Consult with your -hardware vendor to find the total register size available and adjust the code, -or use smaller sub-group size to avoid high register pressure. -*/ -static __dpct_inline__ void -mul_mat_q(const void *__restrict__ vx, const void *__restrict__ vy, - float *__restrict__ dst, const int ncols_x, const int nrows_x, - const int ncols_y, const int nrows_y, const int nrows_dst, - int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_qh, - int *tile_x_sc, const sycl::nd_item<3> &item_ct1, int *tile_y_qs, - sycl::half2 *tile_y_ds) { - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - const int blocks_per_row_x = ncols_x / qk; - const int blocks_per_col_y = nrows_y / QK8_1; - const int blocks_per_warp = WARP_SIZE / qi; - - const int & ncols_dst = ncols_y; - - const int row_dst_0 = item_ct1.get_group(2) * mmq_y; - const int & row_x_0 = row_dst_0; - - const int col_dst_0 = item_ct1.get_group(1) * mmq_x; - const int & col_y_0 = col_dst_0; - - float sum[mmq_y/WARP_SIZE][mmq_x/nwarps] = {{0.0f}}; - - for (int ib0 = 0; ib0 < blocks_per_row_x; ib0 += blocks_per_warp) { - - load_tiles(x + row_x_0 * blocks_per_row_x + ib0, tile_x_ql, tile_x_dm, - tile_x_qh, tile_x_sc, item_ct1.get_local_id(1), - nrows_x - row_x_0 - 1, item_ct1.get_local_id(2), - blocks_per_row_x); - -#pragma unroll - for (int ir = 0; ir < qr; ++ir) { - const int kqs = ir * WARP_SIZE + item_ct1.get_local_id(2); - const int kbxd = kqs / QI8_1; - -#pragma unroll - for (int i = 0; i < mmq_x; i += nwarps) { - const int col_y_eff = dpct::min( - (unsigned int)(col_y_0 + item_ct1.get_local_id(1) + i), - ncols_y - 1); // to prevent out-of-bounds memory accesses - - const block_q8_1 * by0 = &y[col_y_eff*blocks_per_col_y + ib0 * (qk/QK8_1) + kbxd]; - - const int index_y = (item_ct1.get_local_id(1) + i) * WARP_SIZE + - kqs % WARP_SIZE; - tile_y_qs[index_y] = get_int_from_int8_aligned( - by0->qs, item_ct1.get_local_id(2) % QI8_1); - } - -#pragma unroll - for (int ids0 = 0; ids0 < mmq_x; ids0 += nwarps * QI8_1) { - const int ids = - (ids0 + item_ct1.get_local_id(1) * QI8_1 + - item_ct1.get_local_id(2) / (WARP_SIZE / QI8_1)) % - mmq_x; - const int kby = item_ct1.get_local_id(2) % (WARP_SIZE / QI8_1); - const int col_y_eff = sycl::min(col_y_0 + ids, ncols_y - 1); - - // if the sum is not needed it's faster to transform the scale to f32 ahead of time - const sycl::half2 *dsi_src = - &y[col_y_eff * blocks_per_col_y + ib0 * (qk / QK8_1) + - ir * (WARP_SIZE / QI8_1) + kby] - .ds; - sycl::half2 *dsi_dst = - &tile_y_ds[ids * (WARP_SIZE / QI8_1) + kby]; - if (need_sum) { - *dsi_dst = *dsi_src; - } else { - float * dfi_dst = (float *) dsi_dst; - *dfi_dst = (*dsi_src)[0]; - } - } - - /* - DPCT1118:9: SYCL group functions and algorithms must be encountered - in converged control flow. You may need to adjust the code. - */ - /* - DPCT1065:56: Consider replacing sycl::nd_item::barrier() with - sycl::nd_item::barrier(sycl::access::fence_space::local_space) for - better performance if there is no access to global memory. - */ - item_ct1.barrier(); - -// #pragma unroll // unrolling this loop causes too much register pressure - for (int k = ir*WARP_SIZE/qr; k < (ir+1)*WARP_SIZE/qr; k += vdr) { -#pragma unroll - for (int j = 0; j < mmq_x; j += nwarps) { -#pragma unroll - for (int i = 0; i < mmq_y; i += WARP_SIZE) { - sum[i / WARP_SIZE][j / nwarps] += vec_dot( - tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, - tile_y_qs, tile_y_ds, item_ct1.get_local_id(2) + i, - item_ct1.get_local_id(1) + j, k); - } - } - } - - /* - DPCT1118:10: SYCL group functions and algorithms must be encountered - in converged control flow. You may need to adjust the code. - */ - /* - DPCT1065:57: Consider replacing sycl::nd_item::barrier() with - sycl::nd_item::barrier(sycl::access::fence_space::local_space) for - better performance if there is no access to global memory. - */ - item_ct1.barrier(); - } - } - -#pragma unroll - for (int j = 0; j < mmq_x; j += nwarps) { - const int col_dst = col_dst_0 + j + item_ct1.get_local_id(1); - - if (col_dst >= ncols_dst) { - return; - } - -#pragma unroll - for (int i = 0; i < mmq_y; i += WARP_SIZE) { - const int row_dst = row_dst_0 + item_ct1.get_local_id(2) + i; - - if (row_dst >= nrows_dst) { - continue; - } - - dst[col_dst*nrows_dst + row_dst] = sum[i/WARP_SIZE][j/nwarps]; - } - } -} - -#define MMQ_X_Q4_0_RDNA2 64 -#define MMQ_Y_Q4_0_RDNA2 128 -#define NWARPS_Q4_0_RDNA2 8 -#define MMQ_X_Q4_0_RDNA1 64 -#define MMQ_Y_Q4_0_RDNA1 64 -#define NWARPS_Q4_0_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q4_0_AMPERE 4 -#define MMQ_Y_Q4_0_AMPERE 32 -#define NWARPS_Q4_0_AMPERE 4 -#else -#define MMQ_X_Q4_0_AMPERE 64 -#define MMQ_Y_Q4_0_AMPERE 128 -#define NWARPS_Q4_0_AMPERE 4 -#endif -#define MMQ_X_Q4_0_PASCAL 64 -#define MMQ_Y_Q4_0_PASCAL 64 -#define NWARPS_Q4_0_PASCAL 8 - -template <bool need_check> static void - mul_mat_q4_0( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_0, float *tile_x_d_q4_0, - int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - - const int mmq_x = MMQ_X_Q4_0_AMPERE; - const int mmq_y = MMQ_Y_Q4_0_AMPERE; - const int nwarps = NWARPS_Q4_0_AMPERE; - allocate_tiles_q4_0<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_qs_q4_0, tile_x_d_q4_0); - mul_mat_q<QK4_0, QR4_0, QI4_0, true, block_q4_0, mmq_x, mmq_y, nwarps, - load_tiles_q4_0<mmq_y, nwarps, need_check>, VDR_Q4_0_Q8_1_MMQ, - vec_dot_q4_0_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q4_1_RDNA2 64 -#define MMQ_Y_Q4_1_RDNA2 128 -#define NWARPS_Q4_1_RDNA2 8 -#define MMQ_X_Q4_1_RDNA1 64 -#define MMQ_Y_Q4_1_RDNA1 64 -#define NWARPS_Q4_1_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q4_1_AMPERE 4 -#define MMQ_Y_Q4_1_AMPERE 32 -#define NWARPS_Q4_1_AMPERE 4 -#else -#define MMQ_X_Q4_1_AMPERE 64 -#define MMQ_Y_Q4_1_AMPERE 128 -#define NWARPS_Q4_1_AMPERE 4 -#endif -#define MMQ_X_Q4_1_PASCAL 64 -#define MMQ_Y_Q4_1_PASCAL 64 -#define NWARPS_Q4_1_PASCAL 8 - -template <bool need_check> static void - mul_mat_q4_1( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_1, - sycl::half2 *tile_x_dm_q4_1, int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q4_1_AMPERE; - const int mmq_y = MMQ_Y_Q4_1_AMPERE; - const int nwarps = NWARPS_Q4_1_AMPERE; - allocate_tiles_q4_1<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_qs_q4_1, tile_x_dm_q4_1); - mul_mat_q<QK4_1, QR4_1, QI4_1, true, block_q4_1, mmq_x, mmq_y, nwarps, - load_tiles_q4_1<mmq_y, nwarps, need_check>, VDR_Q4_1_Q8_1_MMQ, - vec_dot_q4_1_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q5_0_RDNA2 64 -#define MMQ_Y_Q5_0_RDNA2 128 -#define NWARPS_Q5_0_RDNA2 8 -#define MMQ_X_Q5_0_RDNA1 64 -#define MMQ_Y_Q5_0_RDNA1 64 -#define NWARPS_Q5_0_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q5_0_AMPERE 4 -#define MMQ_Y_Q5_0_AMPERE 32 -#define NWARPS_Q5_0_AMPERE 4 -#else -#define MMQ_X_Q5_0_AMPERE 128 -#define MMQ_Y_Q5_0_AMPERE 64 -#define NWARPS_Q5_0_AMPERE 4 -#endif -#define MMQ_X_Q5_0_PASCAL 64 -#define MMQ_Y_Q5_0_PASCAL 64 -#define NWARPS_Q5_0_PASCAL 8 - -template <bool need_check> static void - mul_mat_q5_0( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_0, float *tile_x_d_q5_0, - int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q5_0_AMPERE; - const int mmq_y = MMQ_Y_Q5_0_AMPERE; - const int nwarps = NWARPS_Q5_0_AMPERE; - allocate_tiles_q5_0<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q5_0, tile_x_d_q5_0); - mul_mat_q<QK5_0, QR5_0, QI5_0, false, block_q5_0, mmq_x, mmq_y, nwarps, - load_tiles_q5_0<mmq_y, nwarps, need_check>, VDR_Q5_0_Q8_1_MMQ, - vec_dot_q5_0_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q5_1_RDNA2 64 -#define MMQ_Y_Q5_1_RDNA2 128 -#define NWARPS_Q5_1_RDNA2 8 -#define MMQ_X_Q5_1_RDNA1 64 -#define MMQ_Y_Q5_1_RDNA1 64 -#define NWARPS_Q5_1_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q5_1_AMPERE 4 -#define MMQ_Y_Q5_1_AMPERE 32 -#define NWARPS_Q5_1_AMPERE 4 -#else -#define MMQ_X_Q5_1_AMPERE 128 -#define MMQ_Y_Q5_1_AMPERE 64 -#define NWARPS_Q5_1_AMPERE 4 -#endif -#define MMQ_X_Q5_1_PASCAL 64 -#define MMQ_Y_Q5_1_PASCAL 64 -#define NWARPS_Q5_1_PASCAL 8 - -template <bool need_check> static void -mul_mat_q5_1( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_1, - sycl::half2 *tile_x_dm_q5_1, int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q5_1_AMPERE; - const int mmq_y = MMQ_Y_Q5_1_AMPERE; - const int nwarps = NWARPS_Q5_1_AMPERE; - allocate_tiles_q5_1<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q5_1, tile_x_dm_q5_1); - mul_mat_q<QK5_1, QR5_1, QI5_1, true, block_q5_1, mmq_x, mmq_y, nwarps, - load_tiles_q5_1<mmq_y, nwarps, need_check>, VDR_Q5_1_Q8_1_MMQ, - vec_dot_q5_1_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q8_0_RDNA2 64 -#define MMQ_Y_Q8_0_RDNA2 128 -#define NWARPS_Q8_0_RDNA2 8 -#define MMQ_X_Q8_0_RDNA1 64 -#define MMQ_Y_Q8_0_RDNA1 64 -#define NWARPS_Q8_0_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q8_0_AMPERE 4 -#define MMQ_Y_Q8_0_AMPERE 32 -#define NWARPS_Q8_0_AMPERE 4 -#else -#define MMQ_X_Q8_0_AMPERE 128 -#define MMQ_Y_Q8_0_AMPERE 64 -#define NWARPS_Q8_0_AMPERE 4 -#endif -#define MMQ_X_Q8_0_PASCAL 64 -#define MMQ_Y_Q8_0_PASCAL 64 -#define NWARPS_Q8_0_PASCAL 8 - -template <bool need_check> static void - mul_mat_q8_0( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q8_0, float *tile_x_d_q8_0, - int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q8_0_AMPERE; - const int mmq_y = MMQ_Y_Q8_0_AMPERE; - const int nwarps = NWARPS_Q8_0_AMPERE; - allocate_tiles_q8_0<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_qs_q8_0, tile_x_d_q8_0); - mul_mat_q<QK8_0, QR8_0, QI8_0, false, block_q8_0, mmq_x, mmq_y, nwarps, - load_tiles_q8_0<mmq_y, nwarps, need_check>, VDR_Q8_0_Q8_1_MMQ, - vec_dot_q8_0_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q2_K_RDNA2 64 -#define MMQ_Y_Q2_K_RDNA2 128 -#define NWARPS_Q2_K_RDNA2 8 -#define MMQ_X_Q2_K_RDNA1 128 -#define MMQ_Y_Q2_K_RDNA1 32 -#define NWARPS_Q2_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q2_K_AMPERE 4 -#define MMQ_Y_Q2_K_AMPERE 32 -#define NWARPS_Q2_K_AMPERE 4 -#else -#define MMQ_X_Q2_K_AMPERE 64 -#define MMQ_Y_Q2_K_AMPERE 128 -#define NWARPS_Q2_K_AMPERE 4 -#endif -#define MMQ_X_Q2_K_PASCAL 64 -#define MMQ_Y_Q2_K_PASCAL 64 -#define NWARPS_Q2_K_PASCAL 8 - -template <bool need_check> static void -mul_mat_q2_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q2_K, - sycl::half2 *tile_x_dm_q2_K, int *tile_x_sc_q2_K, int *tile_y_qs, - sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q2_K_AMPERE; - const int mmq_y = MMQ_Y_Q2_K_AMPERE; - const int nwarps = NWARPS_Q2_K_AMPERE; - allocate_tiles_q2_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q2_K, tile_x_dm_q2_K, tile_x_sc_q2_K); - mul_mat_q<QK_K, QR2_K, QI2_K, false, block_q2_K, mmq_x, mmq_y, nwarps, - load_tiles_q2_K<mmq_y, nwarps, need_check>, VDR_Q2_K_Q8_1_MMQ, - vec_dot_q2_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q3_K_RDNA2 128 -#define MMQ_Y_Q3_K_RDNA2 64 -#define NWARPS_Q3_K_RDNA2 8 -#define MMQ_X_Q3_K_RDNA1 32 -#define MMQ_Y_Q3_K_RDNA1 128 -#define NWARPS_Q3_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q3_K_AMPERE 4 -#define MMQ_Y_Q3_K_AMPERE 32 -#define NWARPS_Q3_K_AMPERE 4 -#else -#define MMQ_X_Q3_K_AMPERE 128 -#define MMQ_Y_Q3_K_AMPERE 128 -#define NWARPS_Q3_K_AMPERE 4 -#endif -#define MMQ_X_Q3_K_PASCAL 64 -#define MMQ_Y_Q3_K_PASCAL 64 -#define NWARPS_Q3_K_PASCAL 8 - -template <bool need_check> static void -mul_mat_q3_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q3_K, - sycl::half2 *tile_x_dm_q3_K, int *tile_x_qh_q3_K, int *tile_x_sc_q3_K, - int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q3_K_AMPERE; - const int mmq_y = MMQ_Y_Q3_K_AMPERE; - const int nwarps = NWARPS_Q3_K_AMPERE; - allocate_tiles_q3_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q3_K, tile_x_dm_q3_K, tile_x_qh_q3_K, - tile_x_sc_q3_K); - mul_mat_q<QK_K, QR3_K, QI3_K, false, block_q3_K, mmq_x, mmq_y, nwarps, - load_tiles_q3_K<mmq_y, nwarps, need_check>, VDR_Q3_K_Q8_1_MMQ, - vec_dot_q3_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q4_K_RDNA2 64 -#define MMQ_Y_Q4_K_RDNA2 128 -#define NWARPS_Q4_K_RDNA2 8 -#define MMQ_X_Q4_K_RDNA1 32 -#define MMQ_Y_Q4_K_RDNA1 64 -#define NWARPS_Q4_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q4_K_AMPERE 4 -#define MMQ_Y_Q4_K_AMPERE 32 -#define NWARPS_Q4_K_AMPERE 4 -#else -#define MMQ_X_Q4_K_AMPERE 64 -#define MMQ_Y_Q4_K_AMPERE 128 -#define NWARPS_Q4_K_AMPERE 4 -#endif -#define MMQ_X_Q4_K_PASCAL 64 -#define MMQ_Y_Q4_K_PASCAL 64 -#define NWARPS_Q4_K_PASCAL 8 - -template <bool need_check> static void - mul_mat_q4_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q4_K, - sycl::half2 *tile_x_dm_q4_K, int *tile_x_sc_q4_K, int *tile_y_qs, - sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q4_K_AMPERE; - const int mmq_y = MMQ_Y_Q4_K_AMPERE; - const int nwarps = NWARPS_Q4_K_AMPERE; - allocate_tiles_q4_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q4_K, tile_x_dm_q4_K, tile_x_sc_q4_K); - mul_mat_q<QK_K, QR4_K, QI4_K, true, block_q4_K, mmq_x, mmq_y, nwarps, - load_tiles_q4_K<mmq_y, nwarps, need_check>, VDR_Q4_K_Q8_1_MMQ, - vec_dot_q4_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q5_K_RDNA2 64 -#define MMQ_Y_Q5_K_RDNA2 128 -#define NWARPS_Q5_K_RDNA2 8 -#define MMQ_X_Q5_K_RDNA1 32 -#define MMQ_Y_Q5_K_RDNA1 64 -#define NWARPS_Q5_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q5_K_AMPERE 4 -#define MMQ_Y_Q5_K_AMPERE 32 -#define NWARPS_Q5_K_AMPERE 4 -#else -#define MMQ_X_Q5_K_AMPERE 64 -#define MMQ_Y_Q5_K_AMPERE 128 -#define NWARPS_Q5_K_AMPERE 4 -#endif -#define MMQ_X_Q5_K_PASCAL 64 -#define MMQ_Y_Q5_K_PASCAL 64 -#define NWARPS_Q5_K_PASCAL 8 - -template <bool need_check> static void -mul_mat_q5_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_K, - sycl::half2 *tile_x_dm_q5_K, int *tile_x_sc_q5_K, int *tile_y_qs, - sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q5_K_AMPERE; - const int mmq_y = MMQ_Y_Q5_K_AMPERE; - const int nwarps = NWARPS_Q5_K_AMPERE; - allocate_tiles_q5_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q5_K, tile_x_dm_q5_K, tile_x_sc_q5_K); - mul_mat_q<QK_K, QR5_K, QI5_K, true, block_q5_K, mmq_x, mmq_y, nwarps, - load_tiles_q5_K<mmq_y, nwarps, need_check>, VDR_Q5_K_Q8_1_MMQ, - vec_dot_q5_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q6_K_RDNA2 64 -#define MMQ_Y_Q6_K_RDNA2 128 -#define NWARPS_Q6_K_RDNA2 8 -#define MMQ_X_Q6_K_RDNA1 32 -#define MMQ_Y_Q6_K_RDNA1 64 -#define NWARPS_Q6_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q6_K_AMPERE 4 -#define MMQ_Y_Q6_K_AMPERE 32 -#define NWARPS_Q6_K_AMPERE 4 -#else -#define MMQ_X_Q6_K_AMPERE 64 -#define MMQ_Y_Q6_K_AMPERE 64 -#define NWARPS_Q6_K_AMPERE 4 -#endif -#define MMQ_X_Q6_K_PASCAL 64 -#define MMQ_Y_Q6_K_PASCAL 64 -#define NWARPS_Q6_K_PASCAL 8 - -template <bool need_check> static void - mul_mat_q6_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql, sycl::half2 *tile_x_dm, - int *tile_x_sc, int *tile_y_qs, sycl::half2 *tile_y_ds) { - // int * tile_x_ql = nullptr; - // sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - // int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q6_K_AMPERE; - const int mmq_y = MMQ_Y_Q6_K_AMPERE; - const int nwarps = NWARPS_Q6_K_AMPERE; - allocate_tiles_q6_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql, tile_x_dm, tile_x_sc); - mul_mat_q<QK_K, QR6_K, QI6_K, false, block_q6_K, mmq_x, mmq_y, nwarps, - load_tiles_q6_K<mmq_y, nwarps, need_check>, VDR_Q6_K_Q8_1_MMQ, - vec_dot_q6_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -static void ggml_mul_mat_q4_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q4_0_RDNA2; - mmq_y = MMQ_Y_Q4_0_RDNA2; - nwarps = NWARPS_Q4_0_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q4_0_RDNA1; - mmq_y = MMQ_Y_Q4_0_RDNA1; - nwarps = NWARPS_Q4_0_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q4_0_AMPERE; - mmq_y = MMQ_Y_Q4_0_AMPERE; - nwarps = NWARPS_Q4_0_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q4_0_PASCAL; - mmq_y = MMQ_Y_Q4_0_PASCAL; - nwarps = NWARPS_Q4_0_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:20: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_qs_q4_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<float, 1> tile_x_d_q4_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_0<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q4_0_acc_ct1.get_pointer(), - tile_x_d_q4_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:21: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_qs_q4_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<float, 1> tile_x_d_q4_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_0<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q4_0_acc_ct1.get_pointer(), - tile_x_d_q4_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q4_1_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q4_1_RDNA2; - mmq_y = MMQ_Y_Q4_1_RDNA2; - nwarps = NWARPS_Q4_1_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q4_1_RDNA1; - mmq_y = MMQ_Y_Q4_1_RDNA1; - nwarps = NWARPS_Q4_1_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q4_1_AMPERE; - mmq_y = MMQ_Y_Q4_1_AMPERE; - nwarps = NWARPS_Q4_1_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q4_1_PASCAL; - mmq_y = MMQ_Y_Q4_1_PASCAL; - nwarps = NWARPS_Q4_1_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:22: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_qs_q4_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_1<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q4_1_acc_ct1.get_pointer(), - tile_x_dm_q4_1_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:23: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_qs_q4_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_1<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q4_1_acc_ct1.get_pointer(), - tile_x_dm_q4_1_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q5_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q5_0_RDNA2; - mmq_y = MMQ_Y_Q5_0_RDNA2; - nwarps = NWARPS_Q5_0_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q5_0_RDNA1; - mmq_y = MMQ_Y_Q5_0_RDNA1; - nwarps = NWARPS_Q5_0_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q5_0_AMPERE; - mmq_y = MMQ_Y_Q5_0_AMPERE; - nwarps = NWARPS_Q5_0_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q5_0_PASCAL; - mmq_y = MMQ_Y_Q5_0_PASCAL; - nwarps = NWARPS_Q5_0_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:24: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q5_0_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<float, 1> tile_x_d_q5_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_0<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_0_acc_ct1.get_pointer(), - tile_x_d_q5_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:25: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q5_0_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<float, 1> tile_x_d_q5_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_0<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_0_acc_ct1.get_pointer(), - tile_x_d_q5_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q5_1_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q5_1_RDNA2; - mmq_y = MMQ_Y_Q5_1_RDNA2; - nwarps = NWARPS_Q5_1_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q5_1_RDNA1; - mmq_y = MMQ_Y_Q5_1_RDNA1; - nwarps = NWARPS_Q5_1_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q5_1_AMPERE; - mmq_y = MMQ_Y_Q5_1_AMPERE; - nwarps = NWARPS_Q5_1_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q5_1_PASCAL; - mmq_y = MMQ_Y_Q5_1_PASCAL; - nwarps = NWARPS_Q5_1_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:26: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q5_1_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_1<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_1_acc_ct1.get_pointer(), - tile_x_dm_q5_1_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:27: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q5_1_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_1<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_1_acc_ct1.get_pointer(), - tile_x_dm_q5_1_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q8_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q8_0_RDNA2; - mmq_y = MMQ_Y_Q8_0_RDNA2; - nwarps = NWARPS_Q8_0_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q8_0_RDNA1; - mmq_y = MMQ_Y_Q8_0_RDNA1; - nwarps = NWARPS_Q8_0_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q8_0_AMPERE; - mmq_y = MMQ_Y_Q8_0_AMPERE; - nwarps = NWARPS_Q8_0_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q8_0_PASCAL; - mmq_y = MMQ_Y_Q8_0_PASCAL; - nwarps = NWARPS_Q8_0_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:28: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_qs_q8_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<float, 1> tile_x_d_q8_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q8_0<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q8_0_acc_ct1.get_pointer(), - tile_x_d_q8_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:29: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_qs_q8_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<float, 1> tile_x_d_q8_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0), - cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q8_0<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q8_0_acc_ct1.get_pointer(), - tile_x_d_q8_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q2_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q2_K_RDNA2; - mmq_y = MMQ_Y_Q2_K_RDNA2; - nwarps = NWARPS_Q2_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q2_K_RDNA1; - mmq_y = MMQ_Y_Q2_K_RDNA1; - nwarps = NWARPS_Q2_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q2_K_AMPERE; - mmq_y = MMQ_Y_Q2_K_AMPERE; - nwarps = NWARPS_Q2_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q2_K_PASCAL; - mmq_y = MMQ_Y_Q2_K_PASCAL; - nwarps = NWARPS_Q2_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:30: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K), - cgh); - sycl::local_accessor<int, 1> tile_x_sc_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q2_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q2_K_acc_ct1.get_pointer(), - tile_x_dm_q2_K_acc_ct1.get_pointer(), - tile_x_sc_q2_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:31: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K), - cgh); - sycl::local_accessor<int, 1> tile_x_sc_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q2_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q2_K_acc_ct1.get_pointer(), - tile_x_dm_q2_K_acc_ct1.get_pointer(), - tile_x_sc_q2_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - -#if QK_K == 256 - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q3_K_RDNA2; - mmq_y = MMQ_Y_Q3_K_RDNA2; - nwarps = NWARPS_Q3_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q3_K_RDNA1; - mmq_y = MMQ_Y_Q3_K_RDNA1; - nwarps = NWARPS_Q3_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q3_K_AMPERE; - mmq_y = MMQ_Y_Q3_K_AMPERE; - nwarps = NWARPS_Q3_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q3_K_PASCAL; - mmq_y = MMQ_Y_Q3_K_PASCAL; - nwarps = NWARPS_Q3_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:32: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K), - cgh); - sycl::local_accessor<int, 1> tile_x_qh_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh); - sycl::local_accessor<int, 1> tile_x_sc_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q3_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q3_K_acc_ct1.get_pointer(), - tile_x_dm_q3_K_acc_ct1.get_pointer(), - tile_x_qh_q3_K_acc_ct1.get_pointer(), - tile_x_sc_q3_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:33: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K), - cgh); - sycl::local_accessor<int, 1> tile_x_qh_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh); - sycl::local_accessor<int, 1> tile_x_sc_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q3_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q3_K_acc_ct1.get_pointer(), - tile_x_dm_q3_K_acc_ct1.get_pointer(), - tile_x_qh_q3_K_acc_ct1.get_pointer(), - tile_x_sc_q3_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -#endif -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q4_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q4_K_RDNA2; - mmq_y = MMQ_Y_Q4_K_RDNA2; - nwarps = NWARPS_Q4_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q4_K_RDNA1; - mmq_y = MMQ_Y_Q4_K_RDNA1; - nwarps = NWARPS_Q4_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q4_K_AMPERE; - mmq_y = MMQ_Y_Q4_K_AMPERE; - nwarps = NWARPS_Q4_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q4_K_PASCAL; - mmq_y = MMQ_Y_Q4_K_PASCAL; - nwarps = NWARPS_Q4_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:34: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K), - cgh); - sycl::local_accessor<int, 1> tile_x_sc_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q4_K_acc_ct1.get_pointer(), - tile_x_dm_q4_K_acc_ct1.get_pointer(), - tile_x_sc_q4_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:35: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K), - cgh); - sycl::local_accessor<int, 1> tile_x_sc_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q4_K_acc_ct1.get_pointer(), - tile_x_dm_q4_K_acc_ct1.get_pointer(), - tile_x_sc_q4_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q5_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q5_K_RDNA2; - mmq_y = MMQ_Y_Q5_K_RDNA2; - nwarps = NWARPS_Q5_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q5_K_RDNA1; - mmq_y = MMQ_Y_Q5_K_RDNA1; - nwarps = NWARPS_Q5_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q5_K_AMPERE; - mmq_y = MMQ_Y_Q5_K_AMPERE; - nwarps = NWARPS_Q5_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q5_K_PASCAL; - mmq_y = MMQ_Y_Q5_K_PASCAL; - nwarps = NWARPS_Q5_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:36: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K), - cgh); - sycl::local_accessor<int, 1> tile_x_sc_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_K_acc_ct1.get_pointer(), - tile_x_dm_q5_K_acc_ct1.get_pointer(), - tile_x_sc_q5_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:37: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K), - cgh); - sycl::local_accessor<int, 1> tile_x_sc_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_K_acc_ct1.get_pointer(), - tile_x_dm_q5_K_acc_ct1.get_pointer(), - tile_x_sc_q5_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q6_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - dpct::queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q6_K_RDNA2; - mmq_y = MMQ_Y_Q6_K_RDNA2; - nwarps = NWARPS_Q6_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q6_K_RDNA1; - mmq_y = MMQ_Y_Q6_K_RDNA1; - nwarps = NWARPS_Q6_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q6_K_AMPERE; - mmq_y = MMQ_Y_Q6_K_AMPERE; - nwarps = NWARPS_Q6_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q6_K_PASCAL; - mmq_y = MMQ_Y_Q6_K_PASCAL; - nwarps = NWARPS_Q6_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:38: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K), - cgh); - sycl::local_accessor<int, 1> tile_x_sc_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q6_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_acc_ct1.get_pointer(), - tile_x_dm_acc_ct1.get_pointer(), - tile_x_sc_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:39: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor<int, 1> tile_x_ql_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor<sycl::half2, 1> tile_x_dm_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K), - cgh); - sycl::local_accessor<int, 1> tile_x_sc_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor<int, 1> tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q6_K<need_check>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_acc_ct1.get_pointer(), - tile_x_dm_acc_ct1.get_pointer(), - tile_x_sc_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -void ggml_sycl_op_mul_mat_q( - ggml_backend_sycl_context & ctx, - const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, - const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, - float *dst_dd_i, const int64_t row_low, const int64_t row_high, - const int64_t src1_ncols, const int64_t src1_padded_row_size, - const dpct::queue_ptr &stream) try { - - const int64_t ne00 = src0->ne[0]; - - const int64_t ne10 = src1->ne[0]; - GGML_ASSERT(ne10 % QK8_1 == 0); - - const int64_t ne0 = dst->ne[0]; - - const int64_t row_diff = row_high - row_low; - - int device_id; - SYCL_CHECK( - CHECK_TRY_ERROR(device_id = get_current_device_id())); - - // the main device has a larger memory buffer to hold the results from all GPUs - // nrows_dst == nrows of the matrix that the dequantize_mul_mat kernel writes into - const int64_t nrows_dst = device_id == ctx.device ? ne0 : row_diff; - - switch (src0->type) { - case GGML_TYPE_Q4_0: - ggml_mul_mat_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q4_1: - ggml_mul_mat_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q5_0: - ggml_mul_mat_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q5_1: - ggml_mul_mat_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q8_0: - ggml_mul_mat_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q2_K: - ggml_mul_mat_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q3_K: - ggml_mul_mat_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q4_K: - ggml_mul_mat_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q5_K: - ggml_mul_mat_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q6_K: - ggml_mul_mat_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - default: - GGML_ASSERT(false); - break; - } - - (void) src1; - (void) dst; - (void) src1_ddf_i; -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} diff --git a/ggml-sycl/mmq.hpp b/ggml-sycl/mmq.hpp deleted file mode 100644 index 3f5297aa..00000000 --- a/ggml-sycl/mmq.hpp +++ /dev/null @@ -1,33 +0,0 @@ -// -// 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_MMQ_HPP -#define GGML_SYCL_MMQ_HPP - -#include "common.hpp" - -void ggml_sycl_op_mul_mat_q( - ggml_backend_sycl_context & ctx, - const ggml_tensor* src0, - const ggml_tensor* src1, - ggml_tensor* dst, - const char* src0_dd_i, - const float* src1_ddf_i, - const char* src1_ddq_i, - float* dst_dd_i, - const int64_t row_low, - const int64_t row_high, - const int64_t src1_ncols, - const int64_t src1_padded_row_size, - const dpct::queue_ptr& stream); - -#endif // GGML_SYCL_MMQ_HPP diff --git a/ggml-sycl/mmvq.cpp b/ggml-sycl/mmvq.cpp deleted file mode 100644 index 23227649..00000000 --- a/ggml-sycl/mmvq.cpp +++ /dev/null @@ -1,1024 +0,0 @@ -#include "mmvq.hpp" -#include "vecdotq.hpp" - - -template <int qk, int qi, typename block_q_t, int vdr, vec_dot_q_sycl_t vec_dot_q_sycl> -static void mul_mat_vec_q(const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, const int ncols, const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_q_sycl(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template <int qk, int qi, typename block_q_t, int vdr> -static void mul_mat_vec_q_iq2_xxs_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq2_xxs_q8_1(&x[ibx], &y[iby], iqs, iq2xxs_grid, ksigns_iq2xs, kmask_iq2xs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template <int qk, int qi, typename block_q_t, int vdr> -static void mul_mat_vec_q_iq2_xs_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq2_xs_q8_1(&x[ibx], &y[iby], iqs, iq2xs_grid, ksigns64); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template <int qk, int qi, typename block_q_t, int vdr> -static void mul_mat_vec_q_iq2_s_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq2_s_q8_1(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template <int qk, int qi, typename block_q_t, int vdr> -static void mul_mat_vec_q_iq3_xxs_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq3_xxs_q8_1(&x[ibx], &y[iby], iqs, iq3xxs_grid, ksigns64); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template <int qk, int qi, typename block_q_t, int vdr> -static void mul_mat_vec_q_iq3_s_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq3_s_q8_1(&x[ibx], &y[iby], iqs, iq3s_grid); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template <int qk, int qi, typename block_q_t, int vdr> -static void mul_mat_vec_q_iq1_s_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq1_s_q8_1(&x[ibx], &y[iby], iqs, iq1s_grid_gpu); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template <int qk, int qi, typename block_q_t, int vdr> -static void mul_mat_vec_q_iq1_m_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq1_m_q8_1(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template <int qk, int qi, typename block_q_t, int vdr> -static void mul_mat_vec_q_iq4_nl_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq4_nl_q8_1(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - - -template <int qk, int qi, typename block_q_t, int vdr> -static void mul_mat_vec_q_iq4_xs_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq4_xs_q8_1(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -static void mul_mat_vec_q4_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK4_0 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK4_0, QI4_0, block_q4_0, - VDR_Q4_0_Q8_1_MMVQ, vec_dot_q4_0_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q4_1_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK4_1 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK4_0, QI4_1, block_q4_1, - VDR_Q4_1_Q8_1_MMVQ, vec_dot_q4_1_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q5_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK5_0 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK5_0, QI5_0, block_q5_0, - VDR_Q5_0_Q8_1_MMVQ, vec_dot_q5_0_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK5_1 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK5_1, QI5_1, block_q5_1, - VDR_Q5_1_Q8_1_MMVQ, vec_dot_q5_1_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK8_0 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK8_0, QI8_0, block_q8_0, - VDR_Q8_0_Q8_1_MMVQ, vec_dot_q8_0_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q2_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK_K, QI2_K, block_q2_K, - VDR_Q2_K_Q8_1_MMVQ, vec_dot_q2_K_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q3_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK_K, QI3_K, block_q3_K, - VDR_Q3_K_Q8_1_MMVQ, vec_dot_q3_K_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q4_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK_K, QI4_K, block_q4_K, - VDR_Q4_K_Q8_1_MMVQ, vec_dot_q4_K_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK_K, QI5_K, block_q5_K, - VDR_Q5_K_Q8_1_MMVQ, vec_dot_q5_K_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q6_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q<QK_K, QI6_K, block_q6_K, - VDR_Q6_K_Q8_1_MMVQ, vec_dot_q6_K_q8_1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - - -static void mul_mat_vec_iq2_xxs_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq2_xxs_q8_1<QK_K, QI2_XXS, block_iq2_xxs, 1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq2_xs_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0]; - auto ksigns64_ptr_ct1 = &ksigns64[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq2_xs_q8_1<QK_K, QI2_XS, block_iq2_xs, 1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq2_s_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0]; - auto ksigns64_ptr_ct1 = &ksigns64[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq2_s_q8_1<QK_K, QI2_S, block_iq2_s, 1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq3_xxs_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq3xxs_grid_ptr_ct1 = &iq3xxs_grid[0]; - auto ksigns64_ptr_ct1 = &ksigns64[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq3_xxs_q8_1<QK_K, QI3_XXS, block_iq3_xxs, 1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq3_s_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq3s_grid_ptr_ct1 = &iq3s_grid[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq3_s_q8_1<QK_K, QI3_XS, block_iq3_s, 1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq1_s_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq1s_grid_ptr_ct1 = &iq1s_grid_gpu[0]; - auto ksigns64_ptr_ct1 = &ksigns64[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq1_s_q8_1<QK_K, QI1_S, block_iq1_s, 1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq1_m_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq1_m_q8_1<QK_K, QI1_S, block_iq1_m, 1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq4_nl_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK4_NL == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq4_nl_q8_1<QK4_NL, QI4_NL, block_iq4_nl, 1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq4_xs_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - dpct::queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq4_xs_q8_1<QK_K, QI4_XS, block_iq4_xs, 1>( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -void ggml_sycl_op_mul_mat_vec_q( - ggml_backend_sycl_context & ctx, - const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, - const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, - float *dst_dd_i, const int64_t row_low, const int64_t row_high, - const int64_t src1_ncols, const int64_t src1_padded_row_size, - const dpct::queue_ptr &stream) { - - const int64_t ne10 = src1->ne[0]; - GGML_ASSERT(ne10 % QK8_1 == 0); - - const int64_t ne00 = src0->ne[0]; - const int64_t row_diff = row_high - row_low; - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - - // the main device has a larger memory buffer to hold the results from all GPUs - // nrows_dst == nrows of the matrix that the kernel writes into - const int64_t nrows_dst = id == ctx.device ? ne00 : row_diff; - - switch (src0->type) { - case GGML_TYPE_Q4_0: - mul_mat_vec_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q4_1: - mul_mat_vec_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_0: - mul_mat_vec_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_1: - mul_mat_vec_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q8_0: - mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q2_K: - mul_mat_vec_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q3_K: - mul_mat_vec_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q4_K: - mul_mat_vec_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_K: - mul_mat_vec_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q6_K: - mul_mat_vec_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ1_S: - mul_mat_vec_iq1_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ1_M: - mul_mat_vec_iq1_m_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ2_XXS: - mul_mat_vec_iq2_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ2_XS: - mul_mat_vec_iq2_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ2_S: - mul_mat_vec_iq2_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ3_XXS: - mul_mat_vec_iq3_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ3_S: - mul_mat_vec_iq3_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ4_NL: - mul_mat_vec_iq4_nl_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ4_XS: - mul_mat_vec_iq4_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - default: - GGML_ASSERT(false); - break; - } - - (void) src1; - (void) dst; - (void) src1_ddf_i; - (void) src1_ncols; - (void) src1_padded_row_size; -} diff --git a/ggml-sycl/mmvq.hpp b/ggml-sycl/mmvq.hpp deleted file mode 100644 index 049b43d4..00000000 --- a/ggml-sycl/mmvq.hpp +++ /dev/null @@ -1,27 +0,0 @@ -// -// 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_MMVQ_HPP -#define GGML_SYCL_MMVQ_HPP - -#include "common.hpp" - - -void ggml_sycl_op_mul_mat_vec_q( - ggml_backend_sycl_context & ctx, - const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, - const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, - float *dst_dd_i, const int64_t row_low, const int64_t row_high, - const int64_t src1_ncols, const int64_t src1_padded_row_size, - const dpct::queue_ptr &stream); - -#endif // GGML_SYCL_MMVQ_HPP diff --git a/ggml-sycl/presets.hpp b/ggml-sycl/presets.hpp deleted file mode 100644 index 5e6b6181..00000000 --- a/ggml-sycl/presets.hpp +++ /dev/null @@ -1,67 +0,0 @@ -// -// 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_PRESETS_HPP -#define GGML_SYCL_PRESETS_HPP - -#define GGML_SYCL_MAX_STREAMS 8 -#define GGML_SYCL_MAX_BUFFERS 256 -#define GGML_SYCL_MAX_DEVICES 48 -#define GGML_SYCL_NAME "SYCL" - -#define WARP_SIZE 32 -#define MATRIX_ROW_PADDING 512 // last row of quant. matrices is a multiple of this to avoid out-of-bounds memory accesses - -#define SYCL_GELU_BLOCK_SIZE 256 -#define SYCL_SILU_BLOCK_SIZE 256 -#define SYCL_TANH_BLOCK_SIZE 256 -#define SYCL_RELU_BLOCK_SIZE 256 -#define SYCL_HARDSIGMOID_BLOCK_SIZE 256 -#define SYCL_HARDSWISH_BLOCK_SIZE 256 -#define SYCL_SQR_BLOCK_SIZE 256 -#define SYCL_CPY_BLOCK_SIZE 32 -#define SYCL_SCALE_BLOCK_SIZE 256 -#define SYCL_CLAMP_BLOCK_SIZE 256 -#define SYCL_ROPE_BLOCK_SIZE 256 -#define SYCL_ALIBI_BLOCK_SIZE 32 -#define SYCL_DIAG_MASK_INF_BLOCK_SIZE 32 -#define SYCL_QUANTIZE_BLOCK_SIZE 256 -#define SYCL_DEQUANTIZE_BLOCK_SIZE 256 -#define SYCL_GET_ROWS_BLOCK_SIZE 256 -#define SYCL_UPSCALE_BLOCK_SIZE 256 -#define SYCL_CONCAT_BLOCK_SIZE 256 -#define SYCL_PAD_BLOCK_SIZE 256 -#define SYCL_ACC_BLOCK_SIZE 256 -#define SYCL_IM2COL_BLOCK_SIZE 256 -#define SYCL_POOL2D_BLOCK_SIZE 256 - -// dmmv = dequantize_mul_mat_vec -#ifndef GGML_SYCL_DMMV_X -#define GGML_SYCL_DMMV_X 32 -#endif -#ifndef GGML_SYCL_MMV_Y -#define GGML_SYCL_MMV_Y 1 -#endif - -#ifndef K_QUANTS_PER_ITERATION -#define K_QUANTS_PER_ITERATION 2 -#else -static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2"); -#endif - -#ifndef GGML_SYCL_PEER_MAX_BATCH_SIZE -#define GGML_SYCL_PEER_MAX_BATCH_SIZE 128 -#endif // GGML_SYCL_PEER_MAX_BATCH_SIZE - -#define MUL_MAT_SRC1_COL_STRIDE 128 - -#endif // GGML_SYCL_PRESETS_HPP diff --git a/ggml-sycl/vecdotq.hpp b/ggml-sycl/vecdotq.hpp deleted file mode 100644 index 5e2e8254..00000000 --- a/ggml-sycl/vecdotq.hpp +++ /dev/null @@ -1,1161 +0,0 @@ -// -// 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; - -#if QR2_XXS == 8 - 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 - // iqs is 0...15 - const int ib32 = iqs/2; - const int il = iqs%2; - const uint16_t * q2 = bq2->qs + 4*ib32; - const uint8_t * aux8 = (const uint8_t *)q2; - const uint8_t * grid1 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+0]); - const uint8_t * grid2 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+1]); - const uint32_t aux32 = q2[2] | (q2[3] << 16); - const float d = (float)bq2->d * (0.5f + (aux32 >> 28)) * bq8_1[ib32].ds[0] * 0.25f; - const uint8_t signs1 = ksigns_iq2xs[(aux32 >> 14*il) & 127]; - const uint8_t signs2 = ksigns_iq2xs[(aux32 >> (14*il + 7)) & 127]; - const int8_t * q8 = bq8_1[ib32].qs + 16*il; - int sumi1 = 0, sumi2 = 0; - for (int j = 0; j < 8; ++j) { - sumi1 += q8[j+0] * grid1[j] * (signs1 & kmask_iq2xs[j] ? -1 : 1); - sumi2 += q8[j+8] * grid2[j] * (signs2 & kmask_iq2xs[j] ? -1 : 1); - } - return d * (sumi1 + sumi2); -#endif -#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 |