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Diffstat (limited to 'src/armnn/layers/BroadcastToLayer.cpp')
-rw-r--r-- | src/armnn/layers/BroadcastToLayer.cpp | 57 |
1 files changed, 57 insertions, 0 deletions
diff --git a/src/armnn/layers/BroadcastToLayer.cpp b/src/armnn/layers/BroadcastToLayer.cpp new file mode 100644 index 0000000000..252aa46de0 --- /dev/null +++ b/src/armnn/layers/BroadcastToLayer.cpp @@ -0,0 +1,57 @@ +// +// Copyright © 2023 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "BroadcastToLayer.hpp" + +#include "LayerCloneBase.hpp" + +#include <armnn/TypesUtils.hpp> +#include <armnn/backends/WorkloadData.hpp> +#include <armnn/backends/WorkloadFactory.hpp> + +namespace armnn +{ + +BroadcastToLayer::BroadcastToLayer(const BroadcastToDescriptor& param, const char* name) + : LayerWithParameters(1, 1, LayerType::BroadcastTo, param, name) +{} + +std::unique_ptr<IWorkload> BroadcastToLayer::CreateWorkload(const IWorkloadFactory& factory) const +{ + BroadcastToQueueDescriptor descriptor; + SetAdditionalInfo(descriptor); + + return factory.CreateWorkload(LayerType::BroadcastTo, descriptor, PrepInfoAndDesc(descriptor)); +} + +BroadcastToLayer* BroadcastToLayer::Clone(armnn::Graph& graph) const +{ + return CloneBase<BroadcastToLayer>(graph, m_Param, GetName()); +} + +std::vector<TensorShape> BroadcastToLayer::InferOutputShapes(const std::vector<TensorShape>&) const +{ + return std::vector<TensorShape>({ m_Param.m_BroadcastToShape }); +} + +void BroadcastToLayer::ValidateTensorShapesFromInputs() +{ + VerifyLayerConnections(1, CHECK_LOCATION()); + + const TensorShape &outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); + + VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); + + auto inferredShapes = outputShape; + + ValidateAndCopyShape(outputShape, inferredShapes, m_ShapeInferenceMethod, "BroadcastToLayer"); +} + +void BroadcastToLayer::ExecuteStrategy(IStrategy& strategy) const +{ + strategy.ExecuteStrategy(this, GetParameters(), {}, GetName()); +} + +} //namespace armnn |