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Diffstat (limited to 'src/armnn/test/InferOutputTests.hpp')
| -rw-r--r-- | src/armnn/test/InferOutputTests.hpp | 97 |
1 files changed, 97 insertions, 0 deletions
diff --git a/src/armnn/test/InferOutputTests.hpp b/src/armnn/test/InferOutputTests.hpp index 47eabd3cb0..58a081a130 100644 --- a/src/armnn/test/InferOutputTests.hpp +++ b/src/armnn/test/InferOutputTests.hpp @@ -347,3 +347,100 @@ void StackValidateTensorShapesFromInputsNoMatchTest() // Graph::InferTensorInfos calls Layer::ValidateTensorShapesFromInputs BOOST_CHECK_THROW(graph.InferTensorInfos(), armnn::LayerValidationException); } + +void Convolution2dInferOutputShapeTest() +{ + armnn::Graph graph; + + armnn::Convolution2dDescriptor descriptor; + descriptor.m_DilationX = 2; + descriptor.m_DilationY = 2; + descriptor.m_PadTop = 1; + descriptor.m_PadBottom = 1; + descriptor.m_PadLeft = 1; + descriptor.m_PadRight = 1; + descriptor.m_StrideX = 3; + descriptor.m_StrideY = 3; + descriptor.m_DataLayout = armnn::DataLayout::NCHW; + + armnn::Convolution2dLayer* const convolution2dLayer = + graph.AddLayer<armnn::Convolution2dLayer>(descriptor, "convolution2d"); + + std::vector<armnn::TensorShape> shapes; + const std::vector<unsigned int> inputSize = {1, 2, 10, 10}; + armnn::TensorShape inputShape(4, inputSize.data()); + shapes.push_back(inputShape); + + const std::vector<unsigned int> filterSize = { 1, 2, 2, 2}; + armnn::TensorShape filterShape(4, filterSize.data()); + shapes.push_back(filterShape); + + const std::vector<unsigned int> expectedOutputSizes = {1, 1, 4, 4}; + armnn::TensorShape expectedOutputShape(4, expectedOutputSizes.data()); + + BOOST_CHECK(expectedOutputShape == convolution2dLayer->InferOutputShapes(shapes).at(0)); +} + +void TransposeConvolution2dInferOutputShapeTest() +{ + armnn::Graph graph; + + armnn::TransposeConvolution2dDescriptor descriptor; + descriptor.m_PadTop = 0; + descriptor.m_PadBottom = 1; + descriptor.m_PadLeft = 0; + descriptor.m_PadRight = 1; + descriptor.m_StrideX = 2; + descriptor.m_StrideY = 2; + descriptor.m_DataLayout = armnn::DataLayout::NCHW; + + armnn::TransposeConvolution2dLayer* const transposeConvolution2dLayer = + graph.AddLayer<armnn::TransposeConvolution2dLayer>(descriptor, "TransposeConvolution2d"); + + std::vector<armnn::TensorShape> shapes; + const std::vector<unsigned int> inputSize = {1, 2, 3, 3}; + armnn::TensorShape inputShape(4, inputSize.data()); + shapes.push_back(inputShape); + + const std::vector<unsigned int> filterSize = { 1, 2, 3, 3}; + armnn::TensorShape filterShape(4, filterSize.data()); + shapes.push_back(filterShape); + + const std::vector<unsigned int> expectedOutputSizes = {1, 2, 6, 6}; + armnn::TensorShape expectedOutputShape(4, expectedOutputSizes.data()); + + BOOST_CHECK(expectedOutputShape == transposeConvolution2dLayer->InferOutputShapes(shapes).at(0)); +} + +void DepthwiseConvolution2dInferOutputShapeTest() +{ + armnn::Graph graph; + + armnn::DepthwiseConvolution2dDescriptor descriptor; + descriptor.m_DilationX = 3; + descriptor.m_DilationY = 3; + descriptor.m_PadTop = 1; + descriptor.m_PadBottom = 2; + descriptor.m_PadLeft = 1; + descriptor.m_PadRight = 2; + descriptor.m_StrideX = 2; + descriptor.m_StrideY = 2; + descriptor.m_DataLayout = armnn::DataLayout::NCHW; + + armnn::DepthwiseConvolution2dLayer* const depthwiseConvolution2dLayer = + graph.AddLayer<armnn::DepthwiseConvolution2dLayer>(descriptor, "DepthwiseConvolution2d"); + + std::vector<armnn::TensorShape> shapes; + const std::vector<unsigned int> inputSize = {1, 2, 10, 10}; + armnn::TensorShape inputShape(4, inputSize.data()); + shapes.push_back(inputShape); + + const std::vector<unsigned int> filterSize = { 1, 2, 3, 3}; + armnn::TensorShape filterShape(4, filterSize.data()); + shapes.push_back(filterShape); + + const std::vector<unsigned int> expectedOutputSizes = {1, 2, 4, 4}; + armnn::TensorShape expectedOutputShape(4, expectedOutputSizes.data()); + + BOOST_CHECK(expectedOutputShape == depthwiseConvolution2dLayer->InferOutputShapes(shapes).at(0)); +}
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