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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-03-14 12:10:28 +0000 |
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committer | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-03-28 11:41:55 +0100 |
commit | ad1b3d7518429e2d16a2695d9b0bbf81b6565ac9 (patch) | |
tree | a5b8e1ad68a2437f007338f0b6195ca5ed2bddc3 /delegate/test/ElementwiseUnaryTest.cpp | |
parent | 9cb3466b677a1048b8abb24661e92c4c83fdda04 (diff) | |
download | armnn-ad1b3d7518429e2d16a2695d9b0bbf81b6565ac9.tar.gz |
IVGCVSW-7555 Restructure Delegate
* New folders created:
* common is for common code where TfLite API is not used
* classic is for existing delegate implementations
* opaque is for new opaque delegate implementation,
* tests is for shared between existing Delegate and Opaque Delegate which have test utils to work which delegate to use.
* Existing delegate is built to libarmnnDelegate.so and opaque delegate is built as libarmnnOpaqueDelegate.so
* Opaque structure is introduced but no API is added yet.
* CmakeList.txt and delegate/CMakeList.txt have been modified and 2 new CmakeList.txt added
* Rename BUILD_ARMNN_TFLITE_DELEGATE as BUILD_CLASSIC_DELEGATE
* Rename BUILD_ARMNN_TFLITE_OPAQUE_DELEGATE as BUILD_OPAQUE_DELEGATE
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib682b9ad0ac8d8acdc4ec6d9099bb0008a9fe8ed
Diffstat (limited to 'delegate/test/ElementwiseUnaryTest.cpp')
-rw-r--r-- | delegate/test/ElementwiseUnaryTest.cpp | 420 |
1 files changed, 420 insertions, 0 deletions
diff --git a/delegate/test/ElementwiseUnaryTest.cpp b/delegate/test/ElementwiseUnaryTest.cpp new file mode 100644 index 0000000000..6331436308 --- /dev/null +++ b/delegate/test/ElementwiseUnaryTest.cpp @@ -0,0 +1,420 @@ +// +// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ElementwiseUnaryTestHelper.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 <schema_generated.h> +#include <tensorflow/lite/version.h> + +#include <doctest/doctest.h> + +namespace armnnDelegate +{ + +TEST_SUITE("ElementwiseUnary_GpuAccTests") +{ + +TEST_CASE ("Abs_Float32_GpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + // Set input data + std::vector<float> inputValues + { + -0.1f, -0.2f, -0.3f, + 0.1f, 0.2f, 0.3f + }; + // Calculate output data + std::vector<float> expectedOutputValues(inputValues.size()); + for (unsigned int i = 0; i < inputValues.size(); ++i) + { + expectedOutputValues[i] = std::abs(inputValues[i]); + } + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_ABS, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Exp_Float32_GpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + // Set input data + std::vector<float> inputValues + { + 5.0f, 4.0f, + 3.0f, 2.0f, + 1.0f, 1.1f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 148.413159102577f, 54.598150033144f, + 20.085536923188f, 7.389056098931f, + 2.718281828459f, 3.004166023946f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_EXP, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Log_Float32_GpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + // Set input data + std::vector<float> inputValues + { + 1.0f, 1.0f, 2.0f, + 3.0f, 4.0f, 2.71828f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 0.f, 0.f, 0.69314718056f, + 1.09861228867f, 1.38629436112f, 0.99999932734f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_LOG, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Neg_Float32_GpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + // Set input data + std::vector<float> inputValues + { + 1.f, 0.f, 3.f, + 25.f, 64.f, 100.f + }; + // Set output data + std::vector<float> expectedOutputValues + { + -1.f, 0.f, -3.f, + -25.f, -64.f, -100.f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_NEG, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Rsqrt_Float32_GpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + // Set input data + std::vector<float> inputValues + { + 1.f, 4.f, 16.f, + 25.f, 64.f, 100.f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 1.f, 0.5f, 0.25f, + 0.2f, 0.125f, 0.1f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_RSQRT, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Sin_Float32_GpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; + // Set input data + std::vector<float> inputValues + { + 0.0f, 1.0f, 16.0f, + 0.5f, 36.0f, -1.f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 0.0f, 0.8414709848f, -0.28790331666f, + 0.4794255386f, -0.99177885344f, -0.8414709848f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_SIN, backends, inputValues, expectedOutputValues); +} +} // TEST_SUITE("ElementwiseUnary_GpuAccTests") + + + +TEST_SUITE("ElementwiseUnary_CpuAccTests") +{ + +TEST_CASE ("Abs_Float32_CpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + // Set input data + std::vector<float> inputValues + { + -0.1f, -0.2f, -0.3f, + 0.1f, 0.2f, 0.3f + }; + // Calculate output data + std::vector<float> expectedOutputValues(inputValues.size()); + for (unsigned int i = 0; i < inputValues.size(); ++i) + { + expectedOutputValues[i] = std::abs(inputValues[i]); + } + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_ABS, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Exp_Float32_CpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + // Set input data + std::vector<float> inputValues + { + 5.0f, 4.0f, + 3.0f, 2.0f, + 1.0f, 1.1f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 148.413159102577f, 54.598150033144f, + 20.085536923188f, 7.389056098931f, + 2.718281828459f, 3.004166023946f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_EXP, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Log_Float32_CpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + // Set input data + std::vector<float> inputValues + { + 1.0f, 1.0f, 2.0f, + 3.0f, 4.0f, 2.71828f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 0.f, 0.f, 0.69314718056f, + 1.09861228867f, 1.38629436112f, 0.99999932734f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_LOG, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Neg_Float32_CpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + // Set input data + std::vector<float> inputValues + { + 1.f, 0.f, 3.f, + 25.f, 64.f, 100.f + }; + // Set output data + std::vector<float> expectedOutputValues + { + -1.f, 0.f, -3.f, + -25.f, -64.f, -100.f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_NEG, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Rsqrt_Float32_CpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + // Set input data + std::vector<float> inputValues + { + 1.f, 4.f, 16.f, + 25.f, 64.f, 100.f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 1.f, 0.5f, 0.25f, + 0.2f, 0.125f, 0.1f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_RSQRT, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Sin_Float32_CpuAcc_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; + // Set input data + std::vector<float> inputValues + { + 0.0f, 1.0f, 16.0f, + 0.5f, 36.0f, -1.f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 0.0f, 0.8414709848f, -0.28790331666f, + 0.4794255386f, -0.99177885344f, -0.8414709848f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_SIN, backends, inputValues, expectedOutputValues); +} +} // TEST_SUITE("ElementwiseUnary_CpuAccTests") + +TEST_SUITE("ElementwiseUnary_CpuRefTests") +{ + +TEST_CASE ("Abs_Float32_CpuRef_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + // Set input data + std::vector<float> inputValues + { + -0.1f, -0.2f, -0.3f, + 0.1f, 0.2f, 0.3f + }; + // Calculate output data + std::vector<float> expectedOutputValues(inputValues.size()); + for (unsigned int i = 0; i < inputValues.size(); ++i) + { + expectedOutputValues[i] = std::abs(inputValues[i]); + } + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_ABS, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Exp_Float32_CpuRef_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + // Set input data + std::vector<float> inputValues + { + 5.0f, 4.0f, + 3.0f, 2.0f, + 1.0f, 1.1f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 148.413159102577f, 54.598150033144f, + 20.085536923188f, 7.389056098931f, + 2.718281828459f, 3.004166023946f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_EXP, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Log_Float32_CpuRef_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + // Set input data + std::vector<float> inputValues + { + 1.0f, 1.0f, 2.0f, + 3.0f, 4.0f, 2.71828f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 0.f, 0.f, 0.69314718056f, + 1.09861228867f, 1.38629436112f, 0.99999932734f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_LOG, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Neg_Float32_CpuRef_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + // Set input data + std::vector<float> inputValues + { + 1.f, 0.f, 3.f, + 25.f, 64.f, 100.f + }; + // Set output data + std::vector<float> expectedOutputValues + { + -1.f, 0.f, -3.f, + -25.f, -64.f, -100.f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_NEG, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Rsqrt_Float32_CpuRef_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + // Set input data + std::vector<float> inputValues + { + 1.f, 4.f, 16.f, + 25.f, 64.f, 100.f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 1.f, 0.5f, 0.25f, + 0.2f, 0.125f, 0.1f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_RSQRT, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Sqrt_Float32_CpuRef_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + // Set input data + std::vector<float> inputValues + { + 9.0f, 4.25f, 81.9f, + 0.1f, 0.9f, 169.0f + }; + // Calculate output data + std::vector<float> expectedOutputValues(inputValues.size()); + for (unsigned int i = 0; i < inputValues.size(); ++i) + { + expectedOutputValues[i] = std::sqrt(inputValues[i]); + } + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_SQRT, backends, inputValues, expectedOutputValues); +} + +TEST_CASE ("Sin_Float32_CpuRef_Test") +{ + // Create the ArmNN Delegate + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; + // Set input data + std::vector<float> inputValues + { + 0.0f, 1.0f, 16.0f, + 0.5f, 36.0f, -1.f + }; + // Set output data + std::vector<float> expectedOutputValues + { + 0.0f, 0.8414709848f, -0.28790331666f, + 0.4794255386f, -0.99177885344f, -0.8414709848f + }; + + ElementwiseUnaryFP32Test(tflite::BuiltinOperator_SIN, backends, inputValues, expectedOutputValues); +} +} // TEST_SUITE("ElementwiseUnary_CpuRefTests") + +} // namespace armnnDelegate
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