David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 1 | // |
Teresa Charlin | ad1b3d7 | 2023-03-14 12:10:28 +0000 | [diff] [blame] | 2 | // Copyright © 2020, 2023 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 | |
| 8 | #include <armnn_delegate.hpp> |
| 9 | |
| 10 | #include <flatbuffers/flatbuffers.h> |
| 11 | #include <tensorflow/lite/interpreter.h> |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 12 | |
| 13 | #include <doctest/doctest.h> |
| 14 | |
| 15 | namespace armnnDelegate |
| 16 | { |
| 17 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 18 | TEST_SUITE("Activation_Tests") |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 19 | { |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 20 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 21 | TEST_CASE("Activation_ReLu_Test") |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 22 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 23 | std::vector<float> inputData = { |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 24 | -0.1f, -0.2f, -0.3f, -0.4f, |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 25 | 0.1f, 0.2f, 0.3f, 0.4f, |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 26 | -1.0f, -2.0f, -3.0f, -4.0f, |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 27 | 1.0f, 2.0f, 3.0f, 4.0f |
| 28 | }; |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 29 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 30 | // Calculate output values for input. |
| 31 | auto f = [](float value) { return std::fmax(0.0f, value); }; |
| 32 | std::vector<float> outputExpectedData(inputData.size()); |
| 33 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 34 | ActivationTest(tflite::BuiltinOperator_RELU, inputData, outputExpectedData); |
| 35 | } |
| 36 | |
| 37 | TEST_CASE("Activation_Bounded_Relu6_Test") |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 38 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 39 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 40 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 41 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 42 | 1.0f, 2.0f, 3.0f, 4.0f |
| 43 | }; |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 44 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 45 | const float a = 6.0f; |
| 46 | const float b = 0.0f; |
| 47 | // Calculate output values for input. |
| 48 | auto f = [a, b](float value) |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 49 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 50 | return std::min(a, std::max(b, value)); |
| 51 | }; |
| 52 | std::vector<float> outputExpectedData(inputData.size()); |
| 53 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 54 | ActivationTest(tflite::BuiltinOperator_RELU6, |
| 55 | inputData, outputExpectedData); |
| 56 | } |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 57 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 58 | TEST_CASE("Activation_Sigmoid_Test") |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 59 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 60 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 61 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 62 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 63 | 1.0f, 2.0f, 3.0f, 4.0f |
| 64 | }; |
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 | // Calculate output values for input. |
| 67 | auto f = [](float value) { return 1.0f / (1.0f + std::exp(-value)); }; |
| 68 | std::vector<float> outputExpectedData(inputData.size()); |
| 69 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 70 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 71 | ActivationTest(tflite::BuiltinOperator_LOGISTIC, inputData, outputExpectedData); |
| 72 | } |
Tianle Cheng | ae93173 | 2023-07-28 11:53:04 +0100 | [diff] [blame] | 73 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 74 | TEST_CASE("Activation_TanH_Test") |
Tianle Cheng | ae93173 | 2023-07-28 11:53:04 +0100 | [diff] [blame] | 75 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 76 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 77 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 78 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 79 | 1.0f, 2.0f, 3.0f, 4.0f |
| 80 | }; |
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 | // Calculate output values for input. |
| 83 | auto f = [](float value) { return tanhf(value); }; |
| 84 | std::vector<float> outputExpectedData(inputData.size()); |
| 85 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
Tianle Cheng | ae93173 | 2023-07-28 11:53:04 +0100 | [diff] [blame] | 86 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 87 | ActivationTest(tflite::BuiltinOperator_TANH, inputData, outputExpectedData); |
| 88 | } |
| 89 | |
| 90 | TEST_CASE("Activation_Elu_Test") |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 91 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 92 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 93 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 94 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 95 | 1.0f, 2.0f, 3.0f, 4.0f |
| 96 | }; |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 97 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 98 | // Calculate output values for input. |
| 99 | auto f = [](float value) { |
| 100 | if (value < 0) |
| 101 | { |
| 102 | // alpha * (exp(x) - 1) |
| 103 | return 1 * (std::exp(value) - 1); |
| 104 | } |
| 105 | return value; |
| 106 | }; |
| 107 | std::vector<float> outputExpectedData(inputData.size()); |
| 108 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 109 | |
| 110 | ActivationTest(tflite::BuiltinOperator_ELU, inputData, outputExpectedData); |
| 111 | } |
| 112 | |
| 113 | TEST_CASE("Activation_HardSwish_Test") |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 114 | { |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 115 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 116 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 117 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 118 | 1.0f, 2.0f, 3.0f, 4.0f |
| 119 | }; |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 120 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 121 | // Calculate output values for input. |
| 122 | auto f = [](float x) { |
| 123 | // Break down the calculation to help with verification. |
| 124 | // hard_swish(x) = x * relu6(x+3) / 6 |
| 125 | // relu6(x) = min(max(x,0),6) |
| 126 | float reLu6_step1 = std::max((x + 3), 0.0f); |
| 127 | float reLu6Complete = std::min(reLu6_step1, 6.0f); |
| 128 | float hardSwish_step1 = x * reLu6Complete; |
| 129 | float result = hardSwish_step1 / 6; |
| 130 | return result; |
| 131 | }; |
| 132 | std::vector<float> outputExpectedData(inputData.size()); |
| 133 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 134 | |
| 135 | ActivationTest(tflite::BuiltinOperator_HARD_SWISH, inputData, outputExpectedData); |
| 136 | } |
| 137 | |
| 138 | TEST_CASE("Activation_LeakyRelu_Test") |
| 139 | { |
| 140 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 141 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 142 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 143 | 1.0f, 2.0f, 3.0f, 4.0f |
| 144 | }; |
| 145 | |
| 146 | float alpha = 0.3f; |
| 147 | |
| 148 | // Calculate output values for input. |
| 149 | auto f = [alpha](float value) { return value > 0 ? value : value * alpha; }; |
| 150 | std::vector<float> outputExpectedData(inputData.size()); |
| 151 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 152 | |
| 153 | ActivationTest(tflite::BuiltinOperator_LEAKY_RELU, inputData, outputExpectedData, alpha); |
| 154 | } |
| 155 | |
| 156 | TEST_CASE("Activation_Gelu_Test") |
| 157 | { |
| 158 | std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f, |
| 159 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 160 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 161 | 1.0f, 2.0f, 3.0f, 4.0f |
| 162 | }; |
| 163 | |
| 164 | // Calculate output values for input. |
| 165 | auto f = [](float x) { |
| 166 | // gelu(x) = x * 1/2 * (1 + erf(x / sqrt(2))), |
| 167 | // where erf is Gaussian error function |
| 168 | auto result = x * (0.5f * (1.0f + erff(static_cast<float>(x / std::sqrt(2))))); |
| 169 | return result; |
| 170 | }; |
| 171 | std::vector<float> outputExpectedData(inputData.size()); |
| 172 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 173 | |
| 174 | ActivationTest(tflite::BuiltinOperator_GELU, inputData, outputExpectedData); |
| 175 | } |
Teresa Charlin | 077cddb | 2023-09-15 15:19:21 +0100 | [diff] [blame] | 176 | } |
| 177 | |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame^] | 178 | } // namespace armnnDelegate |