IVGCVSW-5962 Remove boost::multi_array
* Replaced all instances of boost::multi_array with flat vectors.
* Updated LayerTestResult struct with new member variables.
* Updated CompareTensor function to compare flat vectors and the shape.
* Removed MakeTensor function from TensorHelpers.hpp.
* Removed GetTensorShapeAsArray function from LayerTestResult.hpp.
* Removed boost::array usage.
* Removed boost::extents usages.
* Removed boost::random usages.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iccde9d6640b534940292ff048fb80c00b38c4743
diff --git a/src/backends/backendsCommon/test/layerTests/ElementwiseUnaryTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ElementwiseUnaryTestImpl.hpp
index 5d37e93..20e341b 100644
--- a/src/backends/backendsCommon/test/layerTests/ElementwiseUnaryTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/ElementwiseUnaryTestImpl.hpp
@@ -55,9 +55,9 @@
outputTensorInfo.SetQuantizationScale(outQuantScale);
outputTensorInfo.SetQuantizationOffset(outQuantOffset);
- auto input = MakeTensor<T, NumDims>(inputTensorInfo, ConvertToDataType<ArmnnType>(values, inputTensorInfo));
-
- LayerTestResult<T, NumDims> ret(outputTensorInfo);
+ std::vector<T> input = ConvertToDataType<ArmnnType>(values, inputTensorInfo);
+ std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(outValues, inputTensorInfo);
+ std::vector<T> actualOutput(outputTensorInfo.GetNumElements());
std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
@@ -73,16 +73,18 @@
inputHandle->Allocate();
outputHandle->Allocate();
- CopyDataToITensorHandle(inputHandle.get(), input.origin());
+ CopyDataToITensorHandle(inputHandle.get(), input.data());
workload->PostAllocationConfigure();
ExecuteWorkload(*workload, memoryManager);
- CopyDataFromITensorHandle(ret.output.origin(), outputHandle.get());
+ CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
- ret.outputExpected = MakeTensor<T, NumDims>(outputTensorInfo, ConvertToDataType<ArmnnType>(outValues,
- inputTensorInfo));
- return ret;
+ return LayerTestResult<T, NumDims>(actualOutput,
+ expectedOutput,
+ outputHandle->GetShape(),
+ outputTensorInfo.GetShape());
+
}
template <std::size_t NumDims,