diff options
Diffstat (limited to 'delegate/test/ElementwiseBinaryTestHelper.hpp')
| -rw-r--r-- | delegate/test/ElementwiseBinaryTestHelper.hpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/delegate/test/ElementwiseBinaryTestHelper.hpp b/delegate/test/ElementwiseBinaryTestHelper.hpp index e2887a2054..b3766134b9 100644 --- a/delegate/test/ElementwiseBinaryTestHelper.hpp +++ b/delegate/test/ElementwiseBinaryTestHelper.hpp @@ -184,7 +184,6 @@ template <typename T> void ElementwiseBinaryTest(tflite::BuiltinOperator binaryOperatorCode, tflite::ActivationFunctionType activationType, tflite::TensorType tensorType, - std::vector<armnn::BackendId>& backends, std::vector<int32_t>& input0Shape, std::vector<int32_t>& input1Shape, std::vector<int32_t>& outputShape, @@ -193,7 +192,8 @@ void ElementwiseBinaryTest(tflite::BuiltinOperator binaryOperatorCode, std::vector<T>& expectedOutputValues, float quantScale = 1.0f, int quantOffset = 0, - bool constantInput = false) + bool constantInput = false, + const std::vector<armnn::BackendId>& backends = {}) { using namespace delegateTestInterpreter; std::vector<char> modelBuffer = CreateElementwiseBinaryTfLiteModel<T>(binaryOperatorCode, @@ -217,7 +217,7 @@ void ElementwiseBinaryTest(tflite::BuiltinOperator binaryOperatorCode, 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>(input0Values, 0) == kTfLiteOk); CHECK(armnnInterpreter.FillInputTensor<T>(input1Values, 1) == kTfLiteOk); |