diff options
Diffstat (limited to 'delegate/test/NormalizationTestHelper.hpp')
| -rw-r--r-- | delegate/test/NormalizationTestHelper.hpp | 24 |
1 files changed, 10 insertions, 14 deletions
diff --git a/delegate/test/NormalizationTestHelper.hpp b/delegate/test/NormalizationTestHelper.hpp index d7930d91b9..1306fd199a 100644 --- a/delegate/test/NormalizationTestHelper.hpp +++ b/delegate/test/NormalizationTestHelper.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2021, 2023-2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -10,12 +10,8 @@ #include <armnn_delegate.hpp> #include <DelegateTestInterpreter.hpp> -#include <flatbuffers/flatbuffers.h> -#include <tensorflow/lite/kernels/register.h> #include <tensorflow/lite/version.h> -#include <doctest/doctest.h> - namespace { @@ -117,11 +113,11 @@ std::vector<char> CreateNormalizationTfLiteModel(tflite::BuiltinOperator normali template <typename T> void NormalizationTest(tflite::BuiltinOperator normalizationOperatorCode, tflite::TensorType tensorType, - const std::vector<armnn::BackendId>& backends, const std::vector<int32_t>& inputShape, std::vector<int32_t>& outputShape, std::vector<T>& inputValues, std::vector<T>& expectedOutputValues, + const std::vector<armnn::BackendId>& backends = {}, int32_t radius = 0, float bias = 0.f, float alpha = 0.f, @@ -150,7 +146,7 @@ void NormalizationTest(tflite::BuiltinOperator normalizationOperatorCode, std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); // Setup interpreter with Arm NN Delegate applied. - auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends); + auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, CaptureAvailableBackends(backends)); CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); CHECK(armnnInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); CHECK(armnnInterpreter.Invoke() == kTfLiteOk); @@ -164,7 +160,7 @@ void NormalizationTest(tflite::BuiltinOperator normalizationOperatorCode, armnnInterpreter.Cleanup(); } -void L2NormalizationTest(std::vector<armnn::BackendId>& backends) +void L2NormalizationTest(const std::vector<armnn::BackendId>& backends = {}) { // Set input data std::vector<int32_t> inputShape { 1, 1, 1, 10 }; @@ -201,18 +197,18 @@ void L2NormalizationTest(std::vector<armnn::BackendId>& backends) NormalizationTest<float>(tflite::BuiltinOperator_L2_NORMALIZATION, ::tflite::TensorType_FLOAT32, - backends, inputShape, outputShape, inputValues, - expectedOutputValues); + expectedOutputValues, + backends); } -void LocalResponseNormalizationTest(std::vector<armnn::BackendId>& backends, - int32_t radius, +void LocalResponseNormalizationTest(int32_t radius, float bias, float alpha, - float beta) + float beta, + const std::vector<armnn::BackendId>& backends = {}) { // Set input data std::vector<int32_t> inputShape { 2, 2, 2, 1 }; @@ -234,11 +230,11 @@ void LocalResponseNormalizationTest(std::vector<armnn::BackendId>& backends, NormalizationTest<float>(tflite::BuiltinOperator_LOCAL_RESPONSE_NORMALIZATION, ::tflite::TensorType_FLOAT32, - backends, inputShape, outputShape, inputValues, expectedOutputValues, + backends, radius, bias, alpha, |