profile_gemm_universal.cpp 6.25 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.

#include <iostream>
#include <numeric>
#include <initializer_list>
#include <cstdlib>

#include "profiler/profile_gemm_universal_impl.hpp"
#include "profiler_operation_registry.hpp"

enum struct GemmMatrixLayout
{
    MK_KN_MN, // 0
    MK_NK_MN, // 1
    KM_KN_MN, // 2
    KM_NK_MN, // 3
};

enum struct GemmDataType
{
    F32_F32_F32,    // 0
    F16_F16_F16,    // 1
    BF16_BF16_BF16, // 2
    INT8_INT8_INT8, // 3
    F8_F16_F16,     // 4
    F16_F8_F16,     // 5
    F16_F16_F16_F8, // 6
};

#define OP_NAME "gemm_universal"
#define OP_DESC "Universal GEMM"

int profile_gemm_universal(int argc, char* argv[])
{
ltqin's avatar
ltqin committed
36
    if(argc != 15 && argc != 18)
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
    {
        printf("arg1: tensor operation (" OP_NAME ": " OP_DESC ")\n");
        printf("arg2: data type (0: fp32; 1: fp16; 2: bf16; 3: int8; 4: f8@f16; 5: f16@f8; 6: f16, "
               "comp f8)\n");
        printf("arg3: matrix layout (0: A[m, k] * B[k, n] = C[m, n];\n");
        printf("                     1: A[m, k] * B[n, k] = C[m, n];\n");
        printf("                     2: A[k, m] * B[k, n] = C[m, n];\n");
        printf("                     3: A[k, m] * B[n, k] = C[m, n])\n");
        printf("arg4: verification (0: no; 1: yes)\n");
        printf("arg5: initialization (0: no init; 1: integer value; 2: decimal value)\n");
        printf("arg6: print tensor value (0: no; 1: yes)\n");
        printf("arg7: time kernel (0=no, 1=yes)\n");
        printf("arg8 to 13: M, N, K, StrideA, StrideB, StrideC\n");
        printf("arg14: split k into  mulitiple batch\n");
        printf("optional:\n");
        printf("arg15: number of warm-up cycles (default 1)\n");
        printf("arg16: number of iterations (default 10)\n");
ltqin's avatar
ltqin committed
54
        printf("arg17: memory for rotating buffer (default 0, size in MB)\n");
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
        exit(1);
    }

    const auto data_type       = static_cast<GemmDataType>(std::stoi(argv[2]));
    const auto layout          = static_cast<GemmMatrixLayout>(std::stoi(argv[3]));
    const bool do_verification = std::stoi(argv[4]);
    const int init_method      = std::stoi(argv[5]);
    const bool do_log          = std::stoi(argv[6]);
    const bool time_kernel     = std::stoi(argv[7]);

    const int M = std::stoi(argv[8]);
    const int N = std::stoi(argv[9]);
    const int K = std::stoi(argv[10]);

    const int StrideA = std::stoi(argv[11]);
    const int StrideB = std::stoi(argv[12]);
    const int StrideC = std::stoi(argv[13]);
    const int KBatch  = std::stoi(argv[14]);

ltqin's avatar
ltqin committed
74
75
76
77
    int n_warmup      = 1;
    int n_iter        = 10;
    uint64_t rotating = 0;
    if(argc == 18)
78
79
80
    {
        n_warmup = std::stoi(argv[15]);
        n_iter   = std::stoi(argv[16]);
ltqin's avatar
ltqin committed
81
        rotating = std::stoull(argv[17]) * 1024 * 1024;
82
83
    }

84
85
86
87
    using F32  = float;
    using F16  = ck::half_t;
    using BF16 = ck::bhalf_t;
    using F8   = ck::f8_t;
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130

    using Row = ck::tensor_layout::gemm::RowMajor;
    using Col = ck::tensor_layout::gemm::ColumnMajor;

    auto profile = [&](auto a_type,
                       auto b_type,
                       auto acc_type,
                       auto c_type,
                       auto a_layout,
                       auto b_layout,
                       auto c_layout) {
        using ADataType   = decltype(a_type);
        using BDataType   = decltype(b_type);
        using AccDataType = decltype(acc_type);
        using CDataType   = decltype(c_type);

        using ALayout = decltype(a_layout);
        using BLayout = decltype(b_layout);
        using CLayout = decltype(c_layout);

        const int DefaultStrideA = ck::is_same_v<ALayout, Row> ? K : M;
        const int DefaultStrideB = ck::is_same_v<BLayout, Row> ? N : K;
        const int DefaultStrideC = ck::is_same_v<CLayout, Row> ? N : M;

        bool pass = ck::profiler::profile_gemm_universal_impl<ADataType,
                                                              BDataType,
                                                              AccDataType,
                                                              CDataType,
                                                              ALayout,
                                                              BLayout,
                                                              CLayout>(
            do_verification,
            init_method,
            do_log,
            time_kernel,
            M,
            N,
            K,
            (StrideA < 0) ? DefaultStrideA : StrideA,
            (StrideB < 0) ? DefaultStrideB : StrideB,
            (StrideC < 0) ? DefaultStrideC : StrideC,
            KBatch,
            n_warmup,
ltqin's avatar
ltqin committed
131
132
            n_iter,
            rotating);
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160

        return pass ? 0 : 1;
    };

    if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_KN_MN)
    {
        return profile(F16{}, F16{}, F32{}, F16{}, Row{}, Row{}, Row{});
    }
    else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_NK_MN)
    {
        return profile(F16{}, F16{}, F32{}, F16{}, Row{}, Col{}, Row{});
    }
    else if(data_type == GemmDataType::F16_F8_F16 && layout == GemmMatrixLayout::MK_KN_MN)
    {
        return profile(F16{}, F8{}, F32{}, F16{}, Row{}, Row{}, Row{});
    }
    else if(data_type == GemmDataType::F16_F8_F16 && layout == GemmMatrixLayout::MK_NK_MN)
    {
        return profile(F16{}, F8{}, F32{}, F16{}, Row{}, Col{}, Row{});
    }
    else if(data_type == GemmDataType::F8_F16_F16 && layout == GemmMatrixLayout::MK_KN_MN)
    {
        return profile(F8{}, F16{}, F32{}, F16{}, Row{}, Row{}, Row{});
    }
    else if(data_type == GemmDataType::F8_F16_F16 && layout == GemmMatrixLayout::MK_NK_MN)
    {
        return profile(F8{}, F16{}, F32{}, F16{}, Row{}, Col{}, Row{});
    }
161
162
163
164
165
166
167
168
    else if(data_type == GemmDataType::BF16_BF16_BF16 && layout == GemmMatrixLayout::MK_KN_MN)
    {
        return profile(BF16{}, BF16{}, F32{}, BF16{}, Row{}, Row{}, Row{});
    }
    else if(data_type == GemmDataType::BF16_BF16_BF16 && layout == GemmMatrixLayout::MK_NK_MN)
    {
        return profile(BF16{}, BF16{}, F32{}, BF16{}, Row{}, Col{}, Row{});
    }
169
170
171
172
173
174
175
176
177
    else
    {
        std::cout << "this data_type & layout is not implemented" << std::endl;

        return 1;
    }
}

REGISTER_PROFILER_OPERATION(OP_NAME, OP_DESC, profile_gemm_universal);