Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "NormalizationTestHelper.hpp" |
| 7 | |
| 8 | #include <armnn_delegate.hpp> |
| 9 | |
| 10 | #include <flatbuffers/flatbuffers.h> |
| 11 | #include <tensorflow/lite/schema/schema_generated.h> |
| 12 | |
| 13 | #include <doctest/doctest.h> |
| 14 | |
| 15 | namespace armnnDelegate |
| 16 | { |
| 17 | |
| 18 | void L2NormalizationTest(std::vector<armnn::BackendId>& backends) |
| 19 | { |
| 20 | // Set input data |
| 21 | std::vector<int32_t> inputShape { 1, 1, 1, 10 }; |
| 22 | std::vector<int32_t> outputShape { 1, 1, 1, 10 }; |
| 23 | |
| 24 | std::vector<float> inputValues |
| 25 | { |
| 26 | 1.0f, |
| 27 | 2.0f, |
| 28 | 3.0f, |
| 29 | 4.0f, |
| 30 | 5.0f, |
| 31 | 6.0f, |
| 32 | 7.0f, |
| 33 | 8.0f, |
| 34 | 9.0f, |
| 35 | 10.0f |
| 36 | }; |
| 37 | |
| 38 | const float approxInvL2Norm = 0.050964719f; |
| 39 | std::vector<float> expectedOutputValues |
| 40 | { |
| 41 | 1.0f * approxInvL2Norm, |
| 42 | 2.0f * approxInvL2Norm, |
| 43 | 3.0f * approxInvL2Norm, |
| 44 | 4.0f * approxInvL2Norm, |
| 45 | 5.0f * approxInvL2Norm, |
| 46 | 6.0f * approxInvL2Norm, |
| 47 | 7.0f * approxInvL2Norm, |
| 48 | 8.0f * approxInvL2Norm, |
| 49 | 9.0f * approxInvL2Norm, |
| 50 | 10.0f * approxInvL2Norm |
| 51 | }; |
| 52 | |
| 53 | NormalizationTest<float>(tflite::BuiltinOperator_L2_NORMALIZATION, |
| 54 | ::tflite::TensorType_FLOAT32, |
| 55 | backends, |
| 56 | inputShape, |
| 57 | outputShape, |
| 58 | inputValues, |
| 59 | expectedOutputValues); |
| 60 | } |
| 61 | |
| 62 | void LocalResponseNormalizationTest(std::vector<armnn::BackendId>& backends, |
| 63 | int32_t radius, |
| 64 | float bias, |
| 65 | float alpha, |
| 66 | float beta) |
| 67 | { |
| 68 | // Set input data |
| 69 | std::vector<int32_t> inputShape { 2, 2, 2, 1 }; |
| 70 | std::vector<int32_t> outputShape { 2, 2, 2, 1 }; |
| 71 | |
| 72 | std::vector<float> inputValues |
| 73 | { |
| 74 | 1.0f, 2.0f, |
| 75 | 3.0f, 4.0f, |
| 76 | 5.0f, 6.0f, |
| 77 | 7.0f, 8.0f |
| 78 | }; |
| 79 | |
| 80 | std::vector<float> expectedOutputValues |
| 81 | { |
| 82 | 0.5f, 0.400000006f, 0.300000012f, 0.235294119f, |
| 83 | 0.192307696f, 0.16216217f, 0.140000001f, 0.123076923f |
| 84 | }; |
| 85 | |
| 86 | NormalizationTest<float>(tflite::BuiltinOperator_LOCAL_RESPONSE_NORMALIZATION, |
| 87 | ::tflite::TensorType_FLOAT32, |
| 88 | backends, |
| 89 | inputShape, |
| 90 | outputShape, |
| 91 | inputValues, |
| 92 | expectedOutputValues, |
| 93 | radius, |
| 94 | bias, |
| 95 | alpha, |
| 96 | beta); |
| 97 | } |
| 98 | |
| 99 | |
| 100 | TEST_SUITE("L2Normalization_CpuRefTests") |
| 101 | { |
| 102 | |
| 103 | TEST_CASE ("L2NormalizationFp32Test_CpuRef_Test") |
| 104 | { |
| 105 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 106 | L2NormalizationTest(backends); |
| 107 | } |
| 108 | |
| 109 | } // TEST_SUITE("L2Normalization_CpuRefTests") |
| 110 | |
| 111 | TEST_SUITE("L2Normalization_CpuAccTests") |
| 112 | { |
| 113 | |
| 114 | TEST_CASE ("L2NormalizationFp32Test_CpuAcc_Test") |
| 115 | { |
| 116 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 117 | L2NormalizationTest(backends); |
| 118 | } |
| 119 | |
| 120 | } // TEST_SUITE("L2NormalizationFp32Test_CpuAcc_Test") |
| 121 | |
| 122 | TEST_SUITE("L2Normalization_GpuAccTests") |
| 123 | { |
| 124 | |
| 125 | TEST_CASE ("L2NormalizationFp32Test_GpuAcc_Test") |
| 126 | { |
| 127 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 128 | L2NormalizationTest(backends); |
| 129 | } |
| 130 | |
| 131 | } // TEST_SUITE("L2Normalization_GpuAccTests") |
| 132 | |
| 133 | TEST_SUITE("LocalResponseNormalization_CpuRefTests") |
| 134 | { |
| 135 | |
| 136 | TEST_CASE ("LocalResponseNormalizationTest_CpuRef_Test") |
| 137 | { |
| 138 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 139 | LocalResponseNormalizationTest(backends, 3, 1.f, 1.f, 1.f); |
| 140 | } |
| 141 | |
| 142 | } // TEST_SUITE("LocalResponseNormalization_CpuRefTests") |
| 143 | |
| 144 | TEST_SUITE("LocalResponseNormalization_CpuAccTests") |
| 145 | { |
| 146 | |
| 147 | TEST_CASE ("LocalResponseNormalizationTest_CpuAcc_Test") |
| 148 | { |
| 149 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 150 | LocalResponseNormalizationTest(backends, 3, 1.f, 1.f, 1.f); |
| 151 | } |
| 152 | |
| 153 | } // TEST_SUITE("LocalResponseNormalization_CpuAccTests") |
| 154 | |
| 155 | TEST_SUITE("LocalResponseNormalization_GpuAccTests") |
| 156 | { |
| 157 | |
| 158 | TEST_CASE ("LocalResponseNormalizationTest_GpuAcc_Test") |
| 159 | { |
| 160 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 161 | LocalResponseNormalizationTest(backends, 3, 1.f, 1.f, 1.f); |
| 162 | } |
| 163 | |
| 164 | } // TEST_SUITE("LocalResponseNormalization_GpuAccTests") |
| 165 | |
| 166 | } // namespace armnnDelegate |