aboutsummaryrefslogtreecommitdiff
path: root/tests/validation/fixtures/InstanceNormalizationLayerFixture.h
blob: 175ef2fb901e863286620163e6a533a77d00d1c3 (plain)
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
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
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
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
/*
 * Copyright (c) 2019 ARM Limited.
 *
 * SPDX-License-Identifier: MIT
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to
 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */
#ifndef ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE
#define ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE

#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/Tensor.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/reference/InstanceNormalizationLayer.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class InstanceNormalizationLayerValidationFixture : public framework::Fixture
{
public:
    template <typename...>
    void setup(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place)
    {
        _target    = compute_target(shape, data_type, data_layout, in_place);
        _reference = compute_reference(shape, data_type, data_layout);
    }

protected:
    template <typename U>
    void fill(U &&tensor)
    {
        std::uniform_real_distribution<> distribution(1.f, 2.f);
        library->fill(tensor, distribution, 0);
    }

    TensorType compute_target(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place)
    {
        if(data_layout == DataLayout::NHWC)
        {
            permute(shape, PermutationVector(2U, 0U, 1U));
        }

        std::mt19937                          gen(library->seed());
        std::uniform_real_distribution<float> dist_gamma(1.f, 2.f);
        std::uniform_real_distribution<float> dist_beta(-2.f, 2.f);
        std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f);

        const float gamma   = dist_gamma(gen);
        const float beta    = dist_beta(gen);
        const float epsilon = dist_epsilon(gen);

        // Create tensors
        TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
        TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);

        // Create and configure function
        FunctionType instance_norm_func;
        instance_norm_func.configure(&src, in_place ? nullptr : &dst, gamma, beta, epsilon);

        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
        if(!in_place)
        {
            ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
        }

        // Allocate tensors
        src.allocator()->allocate();
        if(!in_place)
        {
            dst.allocator()->allocate();
        }

        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
        if(!in_place)
        {
            ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
        }

        // Fill tensors
        fill(AccessorType(src));

        // Compute function
        instance_norm_func.run();

        if(in_place)
        {
            return src;
        }
        else
        {
            return dst;
        }
    }

    SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, DataLayout data_layout)
    {
        std::mt19937                          gen(library->seed());
        std::uniform_real_distribution<float> dist_gamma(1.f, 2.f);
        std::uniform_real_distribution<float> dist_beta(-2.f, 2.f);
        std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f);

        const float gamma   = dist_gamma(gen);
        const float beta    = dist_beta(gen);
        const float epsilon = dist_epsilon(gen);

        // Create reference
        SimpleTensor<T> src{ shape, data_type };

        // Fill reference
        fill(src);

        return reference::instance_normalization<T>(src, gamma, beta, epsilon);
    }

    TensorType      _target{};
    SimpleTensor<T> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE */