diff options
Diffstat (limited to 'delegate/test/StridedSliceTestHelper.hpp')
| -rw-r--r-- | delegate/test/StridedSliceTestHelper.hpp | 12 |
1 files changed, 4 insertions, 8 deletions
diff --git a/delegate/test/StridedSliceTestHelper.hpp b/delegate/test/StridedSliceTestHelper.hpp index 0ae6384dab..740dafe878 100644 --- a/delegate/test/StridedSliceTestHelper.hpp +++ b/delegate/test/StridedSliceTestHelper.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2022-2024 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 { @@ -134,8 +130,7 @@ std::vector<char> CreateStridedSliceTfLiteModel(tflite::TensorType tensorType, } template <typename T> -void StridedSliceTestImpl(std::vector<armnn::BackendId>& backends, - std::vector<T>& inputValues, +void StridedSliceTestImpl(std::vector<T>& inputValues, std::vector<T>& expectedOutputValues, std::vector<int32_t>& beginTensorData, std::vector<int32_t>& endTensorData, @@ -145,6 +140,7 @@ void StridedSliceTestImpl(std::vector<armnn::BackendId>& backends, std::vector<int32_t>& endTensorShape, std::vector<int32_t>& strideTensorShape, std::vector<int32_t>& outputTensorShape, + const std::vector<armnn::BackendId>& backends = {}, const int32_t beginMask = 0, const int32_t endMask = 0, const int32_t ellipsisMask = 0, @@ -179,7 +175,7 @@ void StridedSliceTestImpl(std::vector<armnn::BackendId>& backends, 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); |