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Diffstat (limited to 'src/armnn/test/InferOutputTests.hpp')
| -rw-r--r-- | src/armnn/test/InferOutputTests.hpp | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/src/armnn/test/InferOutputTests.hpp b/src/armnn/test/InferOutputTests.hpp index e2c854551f..6435d87be3 100644 --- a/src/armnn/test/InferOutputTests.hpp +++ b/src/armnn/test/InferOutputTests.hpp @@ -565,6 +565,40 @@ void DepthwiseConvolution2dInferOutputShapeTest() CHECK(expectedOutputShape == depthwiseConvolution2dLayer->InferOutputShapes(shapes).at(0)); } +void Pooling3dInferOutputShapeTest() +{ + armnn::Graph graph; + + armnn::Pooling3dDescriptor descriptor; + descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; + descriptor.m_PoolDepth = 2; + descriptor.m_PoolHeight = 2; + descriptor.m_PoolWidth = 2; + descriptor.m_PadTop = 1; + descriptor.m_PadBottom = 1; + descriptor.m_PadLeft = 1; + descriptor.m_PadRight = 1; + descriptor.m_PadFront = 1; + descriptor.m_PadBack = 1; + descriptor.m_StrideX = 2; + descriptor.m_StrideY = 2; + descriptor.m_StrideZ = 2; + descriptor.m_DataLayout = armnn::DataLayout::NDHWC; + + armnn::Pooling3dLayer* const pooling3dLayer = + graph.AddLayer<armnn::Pooling3dLayer>(descriptor, "pooling3d"); + + std::vector<armnn::TensorShape> shapes; + const std::vector<unsigned int> inputSize = {1, 4, 4, 4, 1}; + armnn::TensorShape inputShape(5, inputSize.data()); + shapes.push_back(inputShape); + + const std::vector<unsigned int> expectedOutputSizes = {1, 3, 3, 3, 1}; + armnn::TensorShape expectedOutputShape(5, expectedOutputSizes.data()); + + CHECK(expectedOutputShape == pooling3dLayer->InferOutputShapes(shapes).at(0)); +} + // QLstm void QLstmInferOutputShapeImpl(const armnn::QLstmDescriptor descriptor, const std::vector<armnn::TensorShape>& inputShapes, |