cublasINT8MMWrapper.h 3.14 KB
Newer Older
Li Zhang's avatar
Li Zhang committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
/*
 * Copyright (c) 2019-2023, NVIDIA CORPORATION.  All rights reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include "cuda_utils.h"
lvhan028's avatar
lvhan028 committed
18
19
20
#include "src/turbomind/layers/attention_layers/AttentionWeight.h"
#include "src/turbomind/utils/cublasAlgoMap.h"
#include "src/turbomind/utils/cublasMMWrapper.h"
Li Zhang's avatar
Li Zhang committed
21
22
23
24
25
26
27
28
#include <cublasLt.h>
#include <cublas_v2.h>
#include <cuda_runtime.h>
#include <map>
#include <mutex>
#include <string>

#pragma once
lvhan028's avatar
lvhan028 committed
29
namespace turbomind {
Li Zhang's avatar
Li Zhang committed
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93

class cublasINT8MMWrapper: public cublasMMWrapper {
private:
    bool use_ORDER_COL32_2R_4R4_;

public:
    cublasINT8MMWrapper(cublasLtHandle_t cublaslt_handle_,
                        cudaStream_t     stream,
                        cublasAlgoMap*   map,
                        std::mutex*      mu,
                        bool             use_ORDER_COL32_2R_4R4);

    cublasINT8MMWrapper(cublasHandle_t   cublas_handle,
                        cublasLtHandle_t cublaslt_handle,
                        cudaStream_t     stream,
                        cublasAlgoMap*   map,
                        std::mutex*      mu,
                        bool             use_ORDER_COL32_2R_4R4);
#ifdef SPARSITY_ENABLED
    cublasINT8MMWrapper(cublasLtHandle_t   cublaslt_handle_,
                        cusparseLtHandle_t cusparselt_handle,
                        cudaStream_t       stream,
                        cublasAlgoMap*     map,
                        std::mutex*        mu,
                        bool               use_ORDER_COL32_2R_4R4);
#endif

    ~cublasINT8MMWrapper();

    cublasINT8MMWrapper(const cublasINT8MMWrapper& wrapper);

    void Gemm(int*          res,
              int           batchCount,
              int           m,
              int           n,
              int           k,
              int64_t       stridea,
              int64_t       strideb,
              int64_t       stridec,
              const int8_t* ATransform,
              const int8_t* kernel);

    void Gemm(int8_t*       res,
              int           batchCount,
              int           m,
              int           n,
              int           k,
              int64_t       stridea,
              int64_t       strideb,
              int64_t       stridec,
              const float   alpha,
              const int8_t* ATransform,
              const int8_t* kernel);

    template<typename T>
    int getFusedINT8QKVType(const int k, const int n, const AttentionWeight<T>* attention_weights);

    bool getUseOrderCol322R4R4();

#ifdef SPARSITY_ENABLED
    void SpGemm(const int m, const int n, const int k, const float alpha, const void* A, const void* B, void* C);
#endif
};

lvhan028's avatar
lvhan028 committed
94
}  // namespace turbomind