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Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp')
-rw-r--r--src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp33
1 files changed, 16 insertions, 17 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp
index a5c53d0e58..3cf85817c8 100644
--- a/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/PreluTestImpl.hpp
@@ -61,22 +61,18 @@ LayerTestResult<T, 4> PreluTest(
0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f
};
- auto input = MakeTensor<T, 4>(inputTensorInfo,
- armnnUtils::QuantizedVector<T>(inputData,
- inputTensorInfo.GetQuantizationScale(),
- inputTensorInfo.GetQuantizationOffset()));
+ std::vector<T> input = armnnUtils::QuantizedVector<T>(inputData,
+ inputTensorInfo.GetQuantizationScale(),
+ inputTensorInfo.GetQuantizationOffset());
- auto alpha = MakeTensor<T, 4>(alphaTensorInfo,
- armnnUtils::QuantizedVector<T>(alphaData,
+ std::vector<T> alpha = armnnUtils::QuantizedVector<T>(alphaData,
alphaTensorInfo.GetQuantizationScale(),
- alphaTensorInfo.GetQuantizationOffset()));
+ alphaTensorInfo.GetQuantizationOffset());
- LayerTestResult<T, 4> result(outputTensorInfo);
- result.outputExpected =
- MakeTensor<T, 4>(outputTensorInfo,
- armnnUtils::QuantizedVector<T>(outputExpectedData,
- outputTensorInfo.GetQuantizationScale(),
- outputTensorInfo.GetQuantizationOffset()));
+ std::vector<T> actualOutput(outputTensorInfo.GetNumElements());
+ std::vector<T> expectedOutput = armnnUtils::QuantizedVector<T>(outputExpectedData,
+ outputTensorInfo.GetQuantizationScale(),
+ outputTensorInfo.GetQuantizationOffset());
std::unique_ptr <armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
std::unique_ptr <armnn::ITensorHandle> alphaHandle = tensorHandleFactory.CreateTensorHandle(alphaTensorInfo);
@@ -94,12 +90,15 @@ LayerTestResult<T, 4> PreluTest(
alphaHandle->Allocate();
outputHandle->Allocate();
- CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
- CopyDataToITensorHandle(alphaHandle.get(), &alpha[0][0][0][0]);
+ CopyDataToITensorHandle(inputHandle.get(), input.data());
+ CopyDataToITensorHandle(alphaHandle.get(), alpha.data());
workload->Execute();
- CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get());
+ CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
- return result;
+ return LayerTestResult<T, 4>(actualOutput,
+ expectedOutput,
+ outputHandle->GetShape(),
+ outputTensorInfo.GetShape());
}