diff options
Diffstat (limited to 'delegate/test/FullyConnectedTestHelper.hpp')
| -rw-r--r-- | delegate/test/FullyConnectedTestHelper.hpp | 12 |
1 files changed, 4 insertions, 8 deletions
diff --git a/delegate/test/FullyConnectedTestHelper.hpp b/delegate/test/FullyConnectedTestHelper.hpp index 20c1102bd9..517d932f29 100644 --- a/delegate/test/FullyConnectedTestHelper.hpp +++ b/delegate/test/FullyConnectedTestHelper.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 // @@ -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 { @@ -164,8 +160,7 @@ std::vector<char> CreateFullyConnectedTfLiteModel(tflite::TensorType tensorType, } template <typename T> -void FullyConnectedTest(std::vector<armnn::BackendId>& backends, - tflite::TensorType tensorType, +void FullyConnectedTest(tflite::TensorType tensorType, tflite::ActivationFunctionType activationType, const std::vector <int32_t>& inputTensorShape, const std::vector <int32_t>& weightsTensorShape, @@ -174,6 +169,7 @@ void FullyConnectedTest(std::vector<armnn::BackendId>& backends, std::vector <T>& inputValues, std::vector <T>& expectedOutputValues, std::vector <T>& weightsData, + const std::vector<armnn::BackendId>& backends = {}, bool constantWeights = true, float quantScale = 1.0f, int quantOffset = 0) @@ -196,7 +192,7 @@ void FullyConnectedTest(std::vector<armnn::BackendId>& backends, CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); // Setup interpreter with Arm NN Delegate applied. - auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends); + auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, CaptureAvailableBackends(backends)); CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); CHECK(tfLiteInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |