// // Copyright © 2019 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include "ComparisonLayer.hpp" #include "LayerCloneBase.hpp" #include #include #include namespace armnn { ComparisonLayer::ComparisonLayer(const ComparisonDescriptor& param, const char* name) : LayerWithParameters(2, 1, LayerType::Comparison, param, name) { } std::unique_ptr ComparisonLayer::CreateWorkload(const IWorkloadFactory& factory) const { ComparisonQueueDescriptor descriptor; return factory.CreateComparison(descriptor, PrepInfoAndDesc(descriptor)); } ComparisonLayer* ComparisonLayer::Clone(Graph& graph) const { return CloneBase(graph, m_Param, GetName()); } std::vector ComparisonLayer::InferOutputShapes(const std::vector& inputShapes) const { ARMNN_ASSERT(inputShapes.size() == 2); const TensorShape& input0 = inputShapes[0]; const TensorShape& input1 = inputShapes[1]; ARMNN_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions()); unsigned int numDims = input0.GetNumDimensions(); std::vector dims(numDims); for (unsigned int i = 0; i < numDims; i++) { unsigned int dim0 = input0[i]; unsigned int dim1 = input1[i]; ARMNN_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(numDims, dims.data()) }); } void ComparisonLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInferenceMethod) { IgnoreUnused(shapeInferenceMethod); VerifyLayerConnections(2, CHECK_LOCATION()); std::vector inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(), GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape() }); ARMNN_ASSERT(inferredShapes.size() == 1); ConditionalThrowIfNotEqual( "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