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Diffstat (limited to 'src/armnn/layers/ComparisonLayer.cpp')
-rw-r--r-- | src/armnn/layers/ComparisonLayer.cpp | 80 |
1 files changed, 80 insertions, 0 deletions
diff --git a/src/armnn/layers/ComparisonLayer.cpp b/src/armnn/layers/ComparisonLayer.cpp new file mode 100644 index 0000000000..75518e580e --- /dev/null +++ b/src/armnn/layers/ComparisonLayer.cpp @@ -0,0 +1,80 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ComparisonLayer.hpp" + +#include "LayerCloneBase.hpp" + +#include <backendsCommon/WorkloadData.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +#include <algorithm> + +namespace armnn +{ + +ComparisonLayer::ComparisonLayer(const ComparisonDescriptor& param, const char* name) + : LayerWithParameters(2, 1, LayerType::Comparison, param, name) +{ +} + +std::unique_ptr<IWorkload> ComparisonLayer::CreateWorkload(const Graph& graph, + const IWorkloadFactory& factory) const +{ + ComparisonQueueDescriptor descriptor; + return factory.CreateComparison(descriptor, PrepInfoAndDesc(descriptor, graph)); +} + +ComparisonLayer* ComparisonLayer::Clone(Graph& graph) const +{ + return CloneBase<ComparisonLayer>(graph, m_Param, GetName()); +} + +std::vector<TensorShape> ComparisonLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const +{ + BOOST_ASSERT(inputShapes.size() == 2); + const TensorShape& input0 = inputShapes[0]; + const TensorShape& input1 = inputShapes[1]; + + BOOST_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions()); + unsigned int numDims = input0.GetNumDimensions(); + + std::vector<unsigned int> dims(numDims); + for (unsigned int i = 0; i < numDims; i++) + { + unsigned int dim0 = input0[i]; + unsigned int dim1 = input1[i]; + + BOOST_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1, + "Dimensions should either match or one should be of size 1."); + + dims[i] = std::max(dim0, dim1); + } + + return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) }); +} + +void ComparisonLayer::ValidateTensorShapesFromInputs() +{ + VerifyLayerConnections(2, CHECK_LOCATION()); + + std::vector<TensorShape> inferredShapes = InferOutputShapes({ + GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(), + GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape() + }); + BOOST_ASSERT(inferredShapes.size() == 1); + + ConditionalThrowIfNotEqual<LayerValidationException>( + "ComparisonLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", + GetOutputSlot(0).GetTensorInfo().GetShape(), + inferredShapes[0]); +} + +void ComparisonLayer::Accept(ILayerVisitor& visitor) const +{ + visitor.VisitComparisonLayer(this, GetParameters(), GetName()); +} + +} // namespace armnn |