diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp | 33 |
1 files changed, 20 insertions, 13 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp index 46f384266b..bf871ae2f4 100644 --- a/src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/FloorTestImpl.cpp @@ -24,16 +24,20 @@ LayerTestResult<T, 4> SimpleFloorTest( armnn::TensorInfo outputTensorInfo(inputTensorInfo); outputTensorInfo.SetQuantizationScale(0.1f); - auto input = MakeTensor<T, 4>(inputTensorInfo, ConvertToDataType<ArmnnType>( - { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f, - 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f }, - inputTensorInfo)); - - LayerTestResult<T, 4> ret(outputTensorInfo); - ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, ConvertToDataType<ArmnnType>( - { -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f, - 1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f }, - outputTensorInfo)); + std::vector<T> input = ConvertToDataType<ArmnnType>( + { + -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f, + 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f + }, + inputTensorInfo); + + std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); + std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>( + { + -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f, + 1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f + }, + outputTensorInfo); std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); @@ -48,13 +52,16 @@ LayerTestResult<T, 4> SimpleFloorTest( inputHandle->Allocate(); outputHandle->Allocate(); - CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][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()); } // |