diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp | 28 |
1 files changed, 18 insertions, 10 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp index 8745a5293b..177acef772 100644 --- a/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/ConvertFp16ToFp32TestImpl.cpp @@ -24,14 +24,19 @@ LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test( const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float16); const armnn::TensorInfo outputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32); - auto input = MakeTensor<armnn::Half, 4>(inputTensorInfo, - { -37.5_h, -15.2_h, -8.76_h, -2.0_h, -1.5_h, -1.3_h, -0.5_h, -0.4_h, 0.0_h, - 1.0_h, 0.4_h, 0.5_h, 1.3_h, 1.5_h, 2.0_h, 8.76_h, 15.2_h, 37.5_h }); + std::vector<armnn::Half> input = + { + -37.5_h, -15.2_h, -8.76_h, -2.0_h, -1.5_h, -1.3_h, -0.5_h, -0.4_h, 0.0_h, + 1.0_h, 0.4_h, 0.5_h, 1.3_h, 1.5_h, 2.0_h, 8.76_h, 15.2_h, 37.5_h + }; - LayerTestResult<float, 4> ret(outputTensorInfo); - ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, - { -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 }); + std::vector<float> expectedOutput = + { + -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 + }; + + std::vector<float> actualOutput(outputTensorInfo.GetNumElements()); std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); @@ -46,11 +51,14 @@ LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test( 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<float, 4>(actualOutput, + expectedOutput, + outputHandle->GetShape(), + outputTensorInfo.GetShape()); } |