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-rw-r--r--delegate/test/SplitTestHelper.hpp14
1 files changed, 5 insertions, 9 deletions
diff --git a/delegate/test/SplitTestHelper.hpp b/delegate/test/SplitTestHelper.hpp
index 54c859c764..d46721577e 100644
--- a/delegate/test/SplitTestHelper.hpp
+++ b/delegate/test/SplitTestHelper.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
{
@@ -117,7 +113,6 @@ std::vector<char> CreateSplitTfLiteModel(tflite::TensorType tensorType,
template <typename T>
void SplitTest(tflite::TensorType tensorType,
- std::vector<armnn::BackendId>& backends,
std::vector<int32_t>& axisTensorShape,
std::vector<int32_t>& inputTensorShape,
std::vector<std::vector<int32_t>>& outputTensorShapes,
@@ -125,6 +120,7 @@ void SplitTest(tflite::TensorType tensorType,
std::vector<T>& inputValues,
std::vector<std::vector<T>>& expectedOutputValues,
const int32_t numSplits,
+ const std::vector<armnn::BackendId>& backends = {},
float quantScale = 1.0f,
int quantOffset = 0)
{
@@ -144,7 +140,7 @@ void SplitTest(tflite::TensorType tensorType,
CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk);
// 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, 1) == kTfLiteOk);
CHECK(armnnInterpreter.Invoke() == kTfLiteOk);
@@ -275,7 +271,6 @@ std::vector<char> CreateSplitVTfLiteModel(tflite::TensorType tensorType,
template <typename T>
void SplitVTest(tflite::TensorType tensorType,
- std::vector<armnn::BackendId>& backends,
std::vector<int32_t>& inputTensorShape,
std::vector<int32_t>& splitsTensorShape,
std::vector<int32_t>& axisTensorShape,
@@ -285,6 +280,7 @@ void SplitVTest(tflite::TensorType tensorType,
std::vector<int32_t>& axisData,
std::vector<std::vector<T>>& expectedOutputValues,
const int32_t numSplits,
+ const std::vector<armnn::BackendId>& backends = {},
float quantScale = 1.0f,
int quantOffset = 0)
{
@@ -307,7 +303,7 @@ void SplitVTest(tflite::TensorType tensorType,
CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk);
// 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);