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//
// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ActivationTestHelper.hpp"
#include <armnn_delegate.hpp>
#include <flatbuffers/flatbuffers.h>
#include <tensorflow/lite/interpreter.h>
#include <doctest/doctest.h>
namespace armnnDelegate
{
TEST_SUITE("Activation_Tests")
{
TEST_CASE("Activation_ReLu_Test")
{
std::vector<float> inputData = {
-0.1f, -0.2f, -0.3f, -0.4f,
0.1f, 0.2f, 0.3f, 0.4f,
-1.0f, -2.0f, -3.0f, -4.0f,
1.0f, 2.0f, 3.0f, 4.0f
};
// Calculate output values for input.
auto f = [](float value) { return std::fmax(0.0f, value); };
std::vector<float> outputExpectedData(inputData.size());
std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);
ActivationTest(tflite::BuiltinOperator_RELU, inputData, outputExpectedData);
}
TEST_CASE("Activation_Bounded_Relu6_Test")
{
std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f,
0.1f, 0.2f, 0.3f, 0.4f,
-1.0f, -2.0f, -3.0f, -4.0f,
1.0f, 2.0f, 3.0f, 4.0f
};
const float a = 6.0f;
const float b = 0.0f;
// Calculate output values for input.
auto f = [a, b](float value)
{
return std::min(a, std::max(b, value));
};
std::vector<float> outputExpectedData(inputData.size());
std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);
ActivationTest(tflite::BuiltinOperator_RELU6,
inputData, outputExpectedData);
}
TEST_CASE("Activation_Sigmoid_Test")
{
std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f,
0.1f, 0.2f, 0.3f, 0.4f,
-1.0f, -2.0f, -3.0f, -4.0f,
1.0f, 2.0f, 3.0f, 4.0f
};
// Calculate output values for input.
auto f = [](float value) { return 1.0f / (1.0f + std::exp(-value)); };
std::vector<float> outputExpectedData(inputData.size());
std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);
ActivationTest(tflite::BuiltinOperator_LOGISTIC, inputData, outputExpectedData);
}
TEST_CASE("Activation_TanH_Test")
{
std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f,
0.1f, 0.2f, 0.3f, 0.4f,
-1.0f, -2.0f, -3.0f, -4.0f,
1.0f, 2.0f, 3.0f, 4.0f
};
// Calculate output values for input.
auto f = [](float value) { return tanhf(value); };
std::vector<float> outputExpectedData(inputData.size());
std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);
ActivationTest(tflite::BuiltinOperator_TANH, inputData, outputExpectedData);
}
TEST_CASE("Activation_Elu_Test")
{
std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f,
0.1f, 0.2f, 0.3f, 0.4f,
-1.0f, -2.0f, -3.0f, -4.0f,
1.0f, 2.0f, 3.0f, 4.0f
};
// Calculate output values for input.
auto f = [](float value) {
if (value < 0)
{
// alpha * (exp(x) - 1)
return 1 * (std::exp(value) - 1);
}
return value;
};
std::vector<float> outputExpectedData(inputData.size());
std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);
ActivationTest(tflite::BuiltinOperator_ELU, inputData, outputExpectedData);
}
TEST_CASE("Activation_HardSwish_Test")
{
std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f,
0.1f, 0.2f, 0.3f, 0.4f,
-1.0f, -2.0f, -3.0f, -4.0f,
1.0f, 2.0f, 3.0f, 4.0f
};
// Calculate output values for input.
auto f = [](float x) {
// Break down the calculation to help with verification.
// hard_swish(x) = x * relu6(x+3) / 6
// relu6(x) = min(max(x,0),6)
float reLu6_step1 = std::max((x + 3), 0.0f);
float reLu6Complete = std::min(reLu6_step1, 6.0f);
float hardSwish_step1 = x * reLu6Complete;
float result = hardSwish_step1 / 6;
return result;
};
std::vector<float> outputExpectedData(inputData.size());
std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);
ActivationTest(tflite::BuiltinOperator_HARD_SWISH, inputData, outputExpectedData);
}
TEST_CASE("Activation_LeakyRelu_Test")
{
std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f,
0.1f, 0.2f, 0.3f, 0.4f,
-1.0f, -2.0f, -3.0f, -4.0f,
1.0f, 2.0f, 3.0f, 4.0f
};
float alpha = 0.3f;
// Calculate output values for input.
auto f = [alpha](float value) { return value > 0 ? value : value * alpha; };
std::vector<float> outputExpectedData(inputData.size());
std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);
ActivationTest(tflite::BuiltinOperator_LEAKY_RELU, inputData, outputExpectedData, alpha);
}
TEST_CASE("Activation_Gelu_Test")
{
std::vector<float> inputData = { -0.1f, -0.2f, -0.3f, -0.4f,
0.1f, 0.2f, 0.3f, 0.4f,
-1.0f, -2.0f, -3.0f, -4.0f,
1.0f, 2.0f, 3.0f, 4.0f
};
// Calculate output values for input.
auto f = [](float x) {
// gelu(x) = x * 1/2 * (1 + erf(x / sqrt(2))),
// where erf is Gaussian error function
auto result = x * (0.5f * (1.0f + erff(static_cast<float>(x / std::sqrt(2)))));
return result;
};
std::vector<float> outputExpectedData(inputData.size());
std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f);
ActivationTest(tflite::BuiltinOperator_GELU, inputData, outputExpectedData);
}
}
} // namespace armnnDelegate
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