diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp | 25 |
1 files changed, 14 insertions, 11 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp index f96d33735f..9208a311a7 100644 --- a/src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp @@ -21,15 +21,15 @@ LayerTestResult<T, 4> SimpleFillTest( armnn::TensorInfo inputTensorInfo({4}, armnn::DataType::Signed32); armnn::TensorInfo outputTensorInfo({2, 2, 3, 2}, ArmnnType); - auto input = MakeTensor<int32_t, 1>(inputTensorInfo, ConvertToDataType<armnn::DataType::Signed32>( - {2, 2, 3, 2}, - inputTensorInfo)); + std::vector<int32_t> input = ConvertToDataType<armnn::DataType::Signed32>( { 2, 2, 3, 2 }, inputTensorInfo); - LayerTestResult<T, 4> ret(outputTensorInfo); - ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, ConvertToDataType<ArmnnType>( - { 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, - 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f }, - outputTensorInfo)); + std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); + std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>( + { + 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, + 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f + }, + outputTensorInfo); std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); @@ -45,13 +45,16 @@ LayerTestResult<T, 4> SimpleFillTest( inputHandle->Allocate(); outputHandle->Allocate(); - CopyDataToITensorHandle(inputHandle.get(), &input[0]); + CopyDataToITensorHandle(inputHandle.get(), input.data()); workload->Execute(); - CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); + CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); - return ret; + return LayerTestResult<T, 4>(actualOutput, + expectedOutput, + outputHandle->GetShape(), + outputTensorInfo.GetShape()); } // |