diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp | 19 |
1 files changed, 9 insertions, 10 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp index 24a4dc4789..ed656daa02 100644 --- a/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp @@ -36,19 +36,15 @@ LayerTestResult<T, 4> InstanceNormTestImpl( int32_t qOffset = 0) { IgnoreUnused(memoryManager); - auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, - armnnUtils::QuantizedVector<T>(inputValues, qScale, qOffset)); - - LayerTestResult<T, 4> result(outputTensorInfo); - result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, - armnnUtils::QuantizedVector<T>(expectedOutputValues, qScale, qOffset)); + std::vector<T> inputTensor = armnnUtils::QuantizedVector<T>(inputValues, qScale, qOffset); + std::vector<T> expectedOutput = armnnUtils::QuantizedVector<T>(expectedOutputValues, qScale, qOffset); + std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); armnn::WorkloadInfo info; - AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); @@ -57,13 +53,16 @@ LayerTestResult<T, 4> InstanceNormTestImpl( inputHandle->Allocate(); outputHandle->Allocate(); - CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]); + CopyDataToITensorHandle(inputHandle.get(), inputTensor.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()); } template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |