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-rw-r--r--delegate/src/test/ActivationTest.cpp299
1 files changed, 0 insertions, 299 deletions
diff --git a/delegate/src/test/ActivationTest.cpp b/delegate/src/test/ActivationTest.cpp
deleted file mode 100644
index 69041d77a2..0000000000
--- a/delegate/src/test/ActivationTest.cpp
+++ /dev/null
@@ -1,299 +0,0 @@
-//
-// Copyright © 2020 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 <tensorflow/lite/kernels/register.h>
-#include <tensorflow/lite/model.h>
-#include <tensorflow/lite/schema/schema_generated.h>
-#include <tensorflow/lite/version.h>
-
-#include <doctest/doctest.h>
-
-namespace armnnDelegate
-{
-
-
-void ActivationReLuTest(std::vector<armnn::BackendId>& backends)
-{
- 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,
- backends,
- inputData,
- outputExpectedData);
-}
-
-void ActivationBoundedReluTest(std::vector<armnn::BackendId>& backends)
-{
- 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,
- backends,
- inputData,
- outputExpectedData);
-}
-
-void ActivationSigmoidTest(std::vector<armnn::BackendId>& backends)
-{
- 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,
- backends,
- inputData,
- outputExpectedData);
-}
-
-
-void ActivationTanHTest(std::vector<armnn::BackendId>& backends)
-{
- 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,
- backends,
- inputData,
- outputExpectedData);
-}
-
-void ActivationEluTest(std::vector<armnn::BackendId>& backends)
-{
- 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,
- backends,
- inputData,
- outputExpectedData);
-}
-
-void ActivationHardSwishTest(std::vector<armnn::BackendId>& backends)
-{
- 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,
- backends,
- inputData,
- outputExpectedData);
-}
-
-TEST_SUITE("Activation_CpuRefTests")
-{
-
-TEST_CASE ("Activation_ReLu_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- ActivationReLuTest(backends);
-}
-
-TEST_CASE ("Activation_Bounded_Relu6_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- ActivationBoundedReluTest(backends);
-}
-
-TEST_CASE ("Activation_Sigmoid_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- ActivationSigmoidTest(backends);
-}
-
-TEST_CASE ("Activation_TanH_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- ActivationTanHTest(backends);
-}
-
-TEST_CASE ("Activation_Elu_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- ActivationEluTest(backends);
-}
-
-TEST_CASE ("Activation_HardSwish_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- ActivationHardSwishTest(backends);
-}
-
-}
-
-TEST_SUITE("Activation_CpuAccTests")
-{
-
-TEST_CASE ("Activation_ReLu_CpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
- ActivationReLuTest(backends);
-}
-
-TEST_CASE ("Activation_Bounded_Relu6_CpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
- ActivationBoundedReluTest(backends);
-}
-
-TEST_CASE ("Activation_Sigmoid_CpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
- ActivationSigmoidTest(backends);
-}
-
-TEST_CASE ("Activation_TanH_CpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
- ActivationTanHTest(backends);
-}
-
-TEST_CASE ("Activation_Elu_CpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
- ActivationEluTest(backends);
-}
-
-TEST_CASE ("Activation_HardSwish_CpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
- ActivationHardSwishTest(backends);
-}
-
-}
-
-TEST_SUITE("Activation_GpuAccTests")
-{
-
-TEST_CASE ("Activation_ReLu_GpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
- ActivationReLuTest(backends);
-}
-
-TEST_CASE ("Activation_Bounded_Relu6_GpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
- ActivationBoundedReluTest(backends);
-}
-
-TEST_CASE ("Activation_Sigmoid_GpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
- ActivationSigmoidTest(backends);
-}
-
-TEST_CASE ("Activation_TanH_GpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
- ActivationTanHTest(backends);
-}
-
-TEST_CASE ("Activation_Elu_GpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
- ActivationEluTest(backends);
-}
-
-TEST_CASE ("Activation_HardSwish_GpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
- ActivationHardSwishTest(backends);
-}
-
-}
-
-} // namespace armnnDelegate \ No newline at end of file
generated by cgit v1.2.1 (git 2.23.0) at 2024-07-25 21:24:46 +0000