diff options
Diffstat (limited to 'delegate/test/SoftmaxTestHelper.hpp')
| -rw-r--r-- | delegate/test/SoftmaxTestHelper.hpp | 18 |
1 files changed, 7 insertions, 11 deletions
diff --git a/delegate/test/SoftmaxTestHelper.hpp b/delegate/test/SoftmaxTestHelper.hpp index 609882d90c..f8525d151f 100644 --- a/delegate/test/SoftmaxTestHelper.hpp +++ b/delegate/test/SoftmaxTestHelper.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2020, 2023-2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -9,14 +9,9 @@ #include <armnn_delegate.hpp> #include <DelegateTestInterpreter.hpp> -#include <armnnUtils/FloatingPointComparison.hpp> -#include <flatbuffers/flatbuffers.h> -#include <tensorflow/lite/kernels/register.h> #include <tensorflow/lite/version.h> -#include <doctest/doctest.h> - namespace { std::vector<char> CreateSoftmaxTfLiteModel(tflite::BuiltinOperator softmaxOperatorCode, @@ -102,10 +97,10 @@ std::vector<char> CreateSoftmaxTfLiteModel(tflite::BuiltinOperator softmaxOperat void SoftmaxTest(tflite::BuiltinOperator softmaxOperatorCode, tflite::TensorType tensorType, - std::vector<armnn::BackendId>& backends, std::vector<int32_t>& shape, std::vector<float>& inputValues, std::vector<float>& expectedOutputValues, + const std::vector<armnn::BackendId>& backends = {}, float beta = 0) { using namespace delegateTestInterpreter; @@ -123,7 +118,7 @@ void SoftmaxTest(tflite::BuiltinOperator softmaxOperatorCode, 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<float>(inputValues, 0) == kTfLiteOk); CHECK(armnnInterpreter.Invoke() == kTfLiteOk); @@ -143,8 +138,9 @@ void SoftmaxTest(tflite::BuiltinOperator softmaxOperatorCode, /// \param backends armnn backends to target /// \param beta multiplicative parameter to the softmax function /// \param expectedOutput to be checked against transformed input -void SoftmaxTestCase(tflite::BuiltinOperator operatorCode, - std::vector<armnn::BackendId> backends, float beta, std::vector<float> expectedOutput) { +void SoftmaxTestCase(tflite::BuiltinOperator operatorCode, float beta, + std::vector<float> expectedOutput, const std::vector<armnn::BackendId> backends = {}) +{ std::vector<float> input = { 1.0, 2.5, 3.0, 4.5, 5.0, -1.0, -2.5, -3.0, -4.5, -5.0}; @@ -152,10 +148,10 @@ void SoftmaxTestCase(tflite::BuiltinOperator operatorCode, SoftmaxTest(operatorCode, tflite::TensorType_FLOAT32, - backends, shape, input, expectedOutput, + backends, beta); } |