forked from ggerganov/llama.cpp
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
[SYCL] Add oneDNN primitive support (ggerganov#9091)
* add onednn * add sycl_f16 * add dnnl stream * add engine map * use dnnl for intel only * use fp16fp16fp16 * update doc
- Loading branch information
1 parent
a1631e5
commit 1731d42
Showing
6 changed files
with
186 additions
and
10 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,101 @@ | ||
| // | ||
| // 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_GEMM_HPP | ||
| #define GGML_SYCL_GEMM_HPP | ||
|
|
||
| #include <fstream> | ||
| #include <iostream> | ||
|
|
||
| #include "ggml-sycl.h" | ||
|
|
||
| #if GGML_SYCL_DNNL | ||
|
|
||
| #include "dnnl.hpp" | ||
| #include "dnnl_sycl.hpp" | ||
|
|
||
| class DnnlGemmWrapper { | ||
| public: | ||
| using dt = dnnl::memory::data_type; | ||
| using tag = dnnl::memory::format_tag; | ||
|
|
||
| template<typename T> | ||
| static constexpr dt to_dt() { | ||
| if constexpr (std::is_same_v<T, float>) return dt::f32; | ||
| else if constexpr (std::is_same_v<T, sycl::half>) return dt::f16; | ||
| else static_assert(0); | ||
| } | ||
|
|
||
| static inline void row_gemm(sycl::queue& q, bool a_trans, | ||
| bool b_trans, int m, int n, int k, | ||
| const void* a, dt at, const void* b, dt bt, void* c, dt ct) | ||
| { | ||
| // Get the device associated with the queue | ||
| sycl::device dev = q.get_device(); | ||
| // Get the context associated with the queue | ||
| sycl::context ctx = q.get_context(); | ||
| const dnnl::engine eng = dnnl::sycl_interop::make_engine(dev, ctx); | ||
| const dnnl::stream stream = dnnl::sycl_interop::make_stream(eng, q); | ||
| dnnl::memory::dims a_dims = { m, k }; | ||
| dnnl::memory::dims b_dims = { k, n }; | ||
| dnnl::memory::dims c_dims = { m, n }; | ||
| const auto a_in_md = dnnl::memory::desc(a_dims, at, a_trans ? tag::ba : tag::ab); | ||
| const auto b_in_md = dnnl::memory::desc(b_dims, bt, b_trans ? tag::ba : tag::ab); | ||
| const auto c_md = dnnl::memory::desc(c_dims, ct, tag::ab); | ||
| auto a_mem = dnnl::memory(a_in_md, eng, (void*)a); | ||
| auto b_mem = dnnl::memory(b_in_md, eng, (void*)b); | ||
| auto matmul_pd = dnnl::matmul::primitive_desc(eng, a_in_md, b_in_md, c_md); | ||
| auto c_mem = dnnl::memory(matmul_pd.dst_desc(), eng, c); | ||
|
|
||
| // Create the primitive. | ||
| auto matmul_prim = dnnl::matmul(matmul_pd); | ||
| // Primitive arguments. | ||
| std::unordered_map<int, dnnl::memory> matmul_args; | ||
| matmul_args.insert({ DNNL_ARG_SRC, a_mem }); | ||
| matmul_args.insert({ DNNL_ARG_WEIGHTS, b_mem }); | ||
| matmul_args.insert({ DNNL_ARG_DST, c_mem }); | ||
|
|
||
| matmul_prim.execute(stream, matmul_args); | ||
| } | ||
|
|
||
|
|
||
| static inline void row_gemm(const dnnl::stream& stream, bool a_trans, | ||
| bool b_trans, int m, int n, int k, | ||
| const void* a, dt at, const void* b, dt bt, void* c, dt ct) | ||
| { | ||
| auto const eng = stream.get_engine(); | ||
| dnnl::memory::dims a_dims = { m, k }; | ||
| dnnl::memory::dims b_dims = { k, n }; | ||
| dnnl::memory::dims c_dims = { m, n }; | ||
| const auto a_in_md = dnnl::memory::desc(a_dims, at, a_trans ? tag::ba : tag::ab); | ||
| const auto b_in_md = dnnl::memory::desc(b_dims, bt, b_trans ? tag::ba : tag::ab); | ||
| const auto c_md = dnnl::memory::desc(c_dims, ct, tag::ab); | ||
| auto a_mem = dnnl::memory(a_in_md, eng, (void*)a); | ||
| auto b_mem = dnnl::memory(b_in_md, eng, (void*)b); | ||
| auto matmul_pd = dnnl::matmul::primitive_desc(eng, a_in_md, b_in_md, c_md); | ||
| auto c_mem = dnnl::memory(matmul_pd.dst_desc(), eng, c); | ||
|
|
||
| // Create the primitive. | ||
| auto matmul_prim = dnnl::matmul(matmul_pd); | ||
| // Primitive arguments. | ||
| std::unordered_map<int, dnnl::memory> matmul_args; | ||
| matmul_args.insert({ DNNL_ARG_SRC, a_mem }); | ||
| matmul_args.insert({ DNNL_ARG_WEIGHTS, b_mem }); | ||
| matmul_args.insert({ DNNL_ARG_DST, c_mem }); | ||
|
|
||
| matmul_prim.execute(stream, matmul_args); | ||
| } | ||
| }; | ||
|
|
||
| #endif | ||
|
|
||
| #endif // GGML_SYCL_GEMM_HPP |