test_contraction.cpp 6.97 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
// SPDX-License-Identifier: MIT
// Copyright (c) 2023, Advanced Micro Devices, Inc. All rights reserved.

#include <cstdlib>
#include <iostream>
#include <memory>
#include <initializer_list>
#include <vector>
#include <tuple>
#include <gtest/gtest.h>

#include "profiler/profile_contraction_impl.hpp"
13
#include "profiler/profile_contraction_utils.hpp"
14

15
16
17
18
using F16  = ck::half_t;
using BF16 = ck::bhalf_t;
using F32  = float;
using F64  = double;
19
20
21
22
23
24
25

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

using Bilinear = ck::tensor_operation::element_wise::Bilinear;
using Scale    = ck::tensor_operation::element_wise::Scale;

26
struct Dimensions
27
28
29
30
31
32
33
34
35
36
{
    std::vector<ck::index_t> M;
    std::vector<ck::index_t> N;
    std::vector<ck::index_t> K;
};

template <typename Tuple>
class TestContraction : public ::testing::Test
{
    protected:
37
38
39
40
41
42
43
44
45
46
47
48
    using ALayout         = std::tuple_element_t<0, Tuple>;
    using BLayout         = std::tuple_element_t<1, Tuple>;
    using CDLayout        = std::tuple_element_t<2, Tuple>;
    using DataType        = std::tuple_element_t<3, Tuple>;
    using DTupleDataType  = std::tuple_element_t<4, Tuple>;
    using ComputeDataType = std::tuple_element_t<5, Tuple>;
    using CDElementOp     = std::tuple_element_t<6, Tuple>;

    std::vector<Dimensions> dimension_list = {{{32, 32}, {32, 32}, {32, 32}},
                                              {{16, 16}, {32, 32}, {16, 16}}};

    std::vector<ck::index_t> init_methods = {1, 2};
49
    std::unique_ptr<CDElementOp> p_cd_element_op;
50

51
52
    void Run()
    {
53
        for(auto& dimension_params : dimension_list)
54
        {
55
56
57
58
59
60
61
62
63
64
65
66
67
68
            std::vector<ck::index_t> StridesA;
            std::vector<ck::index_t> StridesB;
            std::vector<ck::index_t> StridesC;
            std::vector<ck::index_t> StridesD;

            const auto& M = dimension_params.M;
            const auto& N = dimension_params.N;
            const auto& K = dimension_params.K;

            assign_default_strides(ALayout{}, StridesA, {M[0], M[1], K[0], K[1]});
            assign_default_strides(BLayout{}, StridesB, {N[0], N[1], K[0], K[1]});
            assign_default_strides(CDLayout{}, StridesC, {M[0], M[1], N[0], N[1]});
            assign_default_strides(CDLayout{}, StridesD, {M[0], M[1], N[0], N[1]});

69
70
71
72
73
74
75
            for(const ck::index_t init_method : init_methods)
            {
                bool pass =
                    ck::profiler::profile_contraction_impl<ALayout,
                                                           BLayout,
                                                           CDLayout,
                                                           DataType,
76
                                                           ComputeDataType,
77
78
79
80
81
82
                                                           DTupleDataType,
                                                           CDElementOp>(true /*do_verification*/,
                                                                        init_method,
                                                                        false /*do_logs*/,
                                                                        false /*time_kernel*/,
                                                                        *p_cd_element_op,
83
84
85
86
87
88
89
                                                                        dimension_params.M,
                                                                        dimension_params.N,
                                                                        dimension_params.K,
                                                                        StridesA,
                                                                        StridesB,
                                                                        StridesC,
                                                                        StridesD);
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
                EXPECT_TRUE(pass);
            }
        }
    }
};

template <typename Tuple>
class TestContractionScale : public TestContraction<Tuple>
{
};

template <typename Tuple>
class TestContractionBilinear : public TestContraction<Tuple>
{
};

106
107
108
109
110
111
#define ALL_LAYOUT_COMBINATIONS(dt, tuple_dt, compute_dt, op)    \
    std::tuple<Row, Row, Row, dt, tuple_dt, compute_dt, op>,     \
        std::tuple<Row, Col, Row, dt, tuple_dt, compute_dt, op>, \
        std::tuple<Col, Row, Row, dt, tuple_dt, compute_dt, op>, \
        std::tuple<Col, Col, Row, dt, tuple_dt, compute_dt, op>

112
using BilinearKernelTypes =
113
114
115
116
117
    ::testing::Types<ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<F32>, F32, Bilinear),
                     ALL_LAYOUT_COMBINATIONS(F64, ck::Tuple<F64>, F64, Bilinear)>;

using ScaleKernelTypes = ::testing::Types<ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<>, F32, Scale),
                                          ALL_LAYOUT_COMBINATIONS(F64, ck::Tuple<>, F64, Scale)>;
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136

TYPED_TEST_SUITE(TestContractionBilinear, BilinearKernelTypes);
TYPED_TEST_SUITE(TestContractionScale, ScaleKernelTypes);

TYPED_TEST(TestContractionBilinear, bilinear)
{
    this->p_cd_element_op = std::make_unique<Bilinear>(1.f, 1.f);
    this->Run();
    this->p_cd_element_op = std::make_unique<Bilinear>(-0.5f, 0.5f);
    this->Run();
}

TYPED_TEST(TestContractionScale, scale)
{
    this->p_cd_element_op = std::make_unique<Scale>(1.f);
    this->Run();
    this->p_cd_element_op = std::make_unique<Scale>(0.5f);
    this->Run();
}
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179

template <typename Tuple>
class TestContractionScaleMixedPrecision : public TestContraction<Tuple>
{
};

template <typename Tuple>
class TestContractionBilinearMixedPrecision : public TestContraction<Tuple>
{
};

using BilinearKernelTypesMixedPrecision =
    ::testing::Types<ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<F32>, F16, Bilinear),
                     ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<F32>, BF16, Bilinear),
                     ALL_LAYOUT_COMBINATIONS(F64, ck::Tuple<F64>, F32, Bilinear),
                     ALL_LAYOUT_COMBINATIONS(F16, ck::Tuple<F16>, F32, Bilinear),
                     ALL_LAYOUT_COMBINATIONS(BF16, ck::Tuple<BF16>, F32, Bilinear)>;

using ScaleKernelTypesMixedPrecision =
    ::testing::Types<ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<>, F16, Scale),
                     ALL_LAYOUT_COMBINATIONS(F32, ck::Tuple<>, BF16, Scale),
                     ALL_LAYOUT_COMBINATIONS(F64, ck::Tuple<>, F32, Scale),
                     ALL_LAYOUT_COMBINATIONS(F16, ck::Tuple<>, F32, Scale),
                     ALL_LAYOUT_COMBINATIONS(BF16, ck::Tuple<>, F32, Scale)>;

TYPED_TEST_SUITE(TestContractionBilinearMixedPrecision, BilinearKernelTypesMixedPrecision);
TYPED_TEST_SUITE(TestContractionScaleMixedPrecision, ScaleKernelTypesMixedPrecision);

TYPED_TEST(TestContractionBilinearMixedPrecision, bilinear)
{
    this->p_cd_element_op = std::make_unique<Bilinear>(1.f, 1.f);
    this->Run();
    this->p_cd_element_op = std::make_unique<Bilinear>(-0.5f, 0.5f);
    this->Run();
}

TYPED_TEST(TestContractionScaleMixedPrecision, scale)
{
    this->p_cd_element_op = std::make_unique<Scale>(1.f);
    this->Run();
    this->p_cd_element_op = std::make_unique<Scale>(0.5f);
    this->Run();
}