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author | Sadik Armagan <sadik.armagan@arm.com> | 2021-06-01 09:24:52 +0100 |
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committer | Sadik Armagan <sadik.armagan@arm.com> | 2021-06-02 13:00:56 +0000 |
commit | 483c811ea6fd0e7801aac1afd979ed02a649064b (patch) | |
tree | a0969c8786528334b62043b40983fa21d54d524e /src/backends/backendsCommon/test/layerTests/LogicalTestImpl.cpp | |
parent | 31f86bfeb311ccc0c6ed94c35a78a51551148ea4 (diff) | |
download | armnn-483c811ea6fd0e7801aac1afd979ed02a649064b.tar.gz |
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
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/LogicalTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/LogicalTestImpl.cpp | 35 |
1 files changed, 17 insertions, 18 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/LogicalTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/LogicalTestImpl.cpp index 4f04673171..119e76bda9 100644 --- a/src/backends/backendsCommon/test/layerTests/LogicalTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/LogicalTestImpl.cpp @@ -35,9 +35,7 @@ LayerTestResult<uint8_t, NumDims> LogicalUnaryTestHelper( ARMNN_ASSERT(outputShape.GetNumDimensions() == NumDims); armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Boolean); - auto inputTensor = MakeTensor<uint8_t, NumDims>(inputTensorInfo, input); - - LayerTestResult <uint8_t, NumDims> ret(outputTensorInfo); + std::vector<uint8_t> actualOutput(outputTensorInfo.GetNumElements()); std::unique_ptr <armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr <armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); @@ -55,16 +53,18 @@ LayerTestResult<uint8_t, NumDims> LogicalUnaryTestHelper( inputHandle->Allocate(); outputHandle->Allocate(); - CopyDataToITensorHandle(inputHandle.get(), inputTensor.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<uint8_t, NumDims>(outputTensorInfo, expectedOutput); - ret.compareBoolean = true; - return ret; + return LayerTestResult<uint8_t, NumDims>(actualOutput, + expectedOutput, + outputHandle->GetShape(), + outputTensorInfo.GetShape(), + true); } template <std::size_t NumDims> @@ -89,10 +89,7 @@ LayerTestResult<uint8_t, NumDims> LogicalBinaryTestHelper( ARMNN_ASSERT(outputShape.GetNumDimensions() == NumDims); armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Boolean); - auto inputTensor0 = MakeTensor<uint8_t, NumDims>(inputTensorInfo0, input0); - auto inputTensor1 = MakeTensor<uint8_t, NumDims>(inputTensorInfo1, input1); - - LayerTestResult <uint8_t, NumDims> ret(outputTensorInfo); + std::vector<uint8_t> actualOutput(outputTensorInfo.GetNumElements()); std::unique_ptr <armnn::ITensorHandle> inputHandle0 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo0); std::unique_ptr <armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); @@ -113,17 +110,19 @@ LayerTestResult<uint8_t, NumDims> LogicalBinaryTestHelper( inputHandle1->Allocate(); outputHandle->Allocate(); - CopyDataToITensorHandle(inputHandle0.get(), inputTensor0.origin()); - CopyDataToITensorHandle(inputHandle1.get(), inputTensor1.origin()); + CopyDataToITensorHandle(inputHandle0.get(), input0.data()); + CopyDataToITensorHandle(inputHandle1.get(), input1.data()); workload->PostAllocationConfigure(); ExecuteWorkload(*workload, memoryManager); - CopyDataFromITensorHandle(ret.output.origin(), outputHandle.get()); + CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); - ret.outputExpected = MakeTensor<uint8_t, NumDims>(outputTensorInfo, expectedOutput); - ret.compareBoolean = true; - return ret; + return LayerTestResult<uint8_t, NumDims>(actualOutput, + expectedOutput, + outputHandle->GetShape(), + outputTensorInfo.GetShape(), + true); } class UnaryTestData |