David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 1 | // |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 2 | // Copyright © 2020, 2023-2024 Arm Ltd and Contributors. All rights reserved. |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ActivationTestHelper.hpp" |
| 7 | |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 8 | #include <doctest/doctest.h> |
| 9 | |
| 10 | namespace armnnDelegate |
| 11 | { |
| 12 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 13 | TEST_SUITE("Activation_Tests") |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 14 | { |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 15 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 16 | TEST_CASE("Activation_ReLu_Test") |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 17 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 18 | std::vector<float> inputData = { |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 19 | -0.1f, -0.2f, -0.3f, -0.4f, |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 20 | 0.1f, 0.2f, 0.3f, 0.4f, |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 21 | -1.0f, -2.0f, -3.0f, -4.0f, |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 22 | 1.0f, 2.0f, 3.0f, 4.0f |
| 23 | }; |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 24 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 25 | // Calculate output values for input. |
| 26 | auto f = [](float value) { return std::fmax(0.0f, value); }; |
| 27 | std::vector<float> outputExpectedData(inputData.size()); |
| 28 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 29 | ActivationTest(tflite::BuiltinOperator_RELU, inputData, outputExpectedData); |
| 30 | } |
| 31 | |
| 32 | TEST_CASE("Activation_Bounded_Relu6_Test") |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 33 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 34 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 35 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 36 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 37 | 1.0f, 2.0f, 3.0f, 4.0f |
| 38 | }; |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 39 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 40 | const float a = 6.0f; |
| 41 | const float b = 0.0f; |
| 42 | // Calculate output values for input. |
| 43 | auto f = [a, b](float value) |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 44 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 45 | return std::min(a, std::max(b, value)); |
| 46 | }; |
| 47 | std::vector<float> outputExpectedData(inputData.size()); |
| 48 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 49 | ActivationTest(tflite::BuiltinOperator_RELU6, |
| 50 | inputData, outputExpectedData); |
| 51 | } |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 52 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 53 | TEST_CASE("Activation_Sigmoid_Test") |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 54 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 55 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 56 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 57 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 58 | 1.0f, 2.0f, 3.0f, 4.0f |
| 59 | }; |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 60 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 61 | // Calculate output values for input. |
| 62 | auto f = [](float value) { return 1.0f / (1.0f + std::exp(-value)); }; |
| 63 | std::vector<float> outputExpectedData(inputData.size()); |
| 64 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 65 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 66 | ActivationTest(tflite::BuiltinOperator_LOGISTIC, inputData, outputExpectedData); |
| 67 | } |
Tianle Cheng | ae93173 | 2023-07-28 11:53:04 +0100 | [diff] [blame] | 68 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 69 | TEST_CASE("Activation_TanH_Test") |
Tianle Cheng | ae93173 | 2023-07-28 11:53:04 +0100 | [diff] [blame] | 70 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 71 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 72 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 73 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 74 | 1.0f, 2.0f, 3.0f, 4.0f |
| 75 | }; |
Tianle Cheng | ae93173 | 2023-07-28 11:53:04 +0100 | [diff] [blame] | 76 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 77 | // Calculate output values for input. |
| 78 | auto f = [](float value) { return tanhf(value); }; |
| 79 | std::vector<float> outputExpectedData(inputData.size()); |
| 80 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
Tianle Cheng | ae93173 | 2023-07-28 11:53:04 +0100 | [diff] [blame] | 81 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 82 | ActivationTest(tflite::BuiltinOperator_TANH, inputData, outputExpectedData); |
| 83 | } |
| 84 | |
| 85 | TEST_CASE("Activation_Elu_Test") |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 86 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 87 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 88 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 89 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 90 | 1.0f, 2.0f, 3.0f, 4.0f |
| 91 | }; |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 92 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 93 | // Calculate output values for input. |
| 94 | auto f = [](float value) { |
| 95 | if (value < 0) |
| 96 | { |
| 97 | // alpha * (exp(x) - 1) |
| 98 | return 1 * (std::exp(value) - 1); |
| 99 | } |
| 100 | return value; |
| 101 | }; |
| 102 | std::vector<float> outputExpectedData(inputData.size()); |
| 103 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 104 | |
| 105 | ActivationTest(tflite::BuiltinOperator_ELU, inputData, outputExpectedData); |
| 106 | } |
| 107 | |
| 108 | TEST_CASE("Activation_HardSwish_Test") |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 109 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 110 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 111 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 112 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 113 | 1.0f, 2.0f, 3.0f, 4.0f |
| 114 | }; |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 115 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 116 | // Calculate output values for input. |
| 117 | auto f = [](float x) { |
| 118 | // Break down the calculation to help with verification. |
| 119 | // hard_swish(x) = x * relu6(x+3) / 6 |
| 120 | // relu6(x) = min(max(x,0),6) |
| 121 | float reLu6_step1 = std::max((x + 3), 0.0f); |
| 122 | float reLu6Complete = std::min(reLu6_step1, 6.0f); |
| 123 | float hardSwish_step1 = x * reLu6Complete; |
| 124 | float result = hardSwish_step1 / 6; |
| 125 | return result; |
| 126 | }; |
| 127 | std::vector<float> outputExpectedData(inputData.size()); |
| 128 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 129 | |
| 130 | ActivationTest(tflite::BuiltinOperator_HARD_SWISH, inputData, outputExpectedData); |
| 131 | } |
| 132 | |
| 133 | TEST_CASE("Activation_LeakyRelu_Test") |
| 134 | { |
| 135 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 136 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 137 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 138 | 1.0f, 2.0f, 3.0f, 4.0f |
| 139 | }; |
| 140 | |
| 141 | float alpha = 0.3f; |
| 142 | |
| 143 | // Calculate output values for input. |
| 144 | auto f = [alpha](float value) { return value > 0 ? value : value * alpha; }; |
| 145 | std::vector<float> outputExpectedData(inputData.size()); |
| 146 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 147 | |
| 148 | ActivationTest(tflite::BuiltinOperator_LEAKY_RELU, inputData, outputExpectedData, alpha); |
| 149 | } |
| 150 | |
| 151 | TEST_CASE("Activation_Gelu_Test") |
| 152 | { |
| 153 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 154 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 155 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 156 | 1.0f, 2.0f, 3.0f, 4.0f |
| 157 | }; |
| 158 | |
| 159 | // Calculate output values for input. |
| 160 | auto f = [](float x) { |
| 161 | // gelu(x) = x * 1/2 * (1 + erf(x / sqrt(2))), |
| 162 | // where erf is Gaussian error function |
| 163 | auto result = x * (0.5f * (1.0f + erff(static_cast<float>(x / std::sqrt(2))))); |
| 164 | return result; |
| 165 | }; |
| 166 | std::vector<float> outputExpectedData(inputData.size()); |
| 167 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 168 | |
| 169 | ActivationTest(tflite::BuiltinOperator_GELU, inputData, outputExpectedData); |
| 170 | } |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 171 | } |
| 172 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 173 | } // namespace armnnDelegate |