diff options
Diffstat (limited to 'src/armnn/layers')
-rw-r--r-- | src/armnn/layers/ElementwiseUnaryLayer.cpp | 62 | ||||
-rw-r--r-- | src/armnn/layers/ElementwiseUnaryLayer.hpp | 48 |
2 files changed, 110 insertions, 0 deletions
diff --git a/src/armnn/layers/ElementwiseUnaryLayer.cpp b/src/armnn/layers/ElementwiseUnaryLayer.cpp new file mode 100644 index 0000000000..d3843da060 --- /dev/null +++ b/src/armnn/layers/ElementwiseUnaryLayer.cpp @@ -0,0 +1,62 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ElementwiseUnaryLayer.hpp" + +#include "LayerCloneBase.hpp" + +#include <backendsCommon/WorkloadData.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +#include <algorithm> + +namespace armnn +{ + +ElementwiseUnaryLayer::ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& param, const char* name) + : LayerWithParameters(1, 1, LayerType::ElementwiseUnary, param, name) +{ +} + +std::unique_ptr<IWorkload> ElementwiseUnaryLayer::CreateWorkload(const IWorkloadFactory& factory) const +{ + ElementwiseUnaryQueueDescriptor descriptor; + return factory.CreateElementwiseUnary(descriptor, PrepInfoAndDesc(descriptor)); +} + +ElementwiseUnaryLayer* ElementwiseUnaryLayer::Clone(Graph& graph) const +{ + return CloneBase<ElementwiseUnaryLayer>(graph, m_Param, GetName()); +} + +std::vector<TensorShape> ElementwiseUnaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const +{ + // Should return the shape of the input tensor + BOOST_ASSERT(inputShapes.size() == 1); + const TensorShape& input = inputShapes[0]; + + return std::vector<TensorShape>({ input }); +} + +void ElementwiseUnaryLayer::ValidateTensorShapesFromInputs() +{ + VerifyLayerConnections(1, CHECK_LOCATION()); + + std::vector<TensorShape> inferredShapes = InferOutputShapes({ + GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape()}); + BOOST_ASSERT(inferredShapes.size() == 1); + + ConditionalThrowIfNotEqual<LayerValidationException>( + "ElementwiseUnaryLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", + GetOutputSlot(0).GetTensorInfo().GetShape(), + inferredShapes[0]); +} + +void ElementwiseUnaryLayer::Accept(ILayerVisitor& visitor) const +{ + visitor.VisitElementwiseUnaryLayer(this, GetParameters(), GetName()); +} + +} // namespace armnn diff --git a/src/armnn/layers/ElementwiseUnaryLayer.hpp b/src/armnn/layers/ElementwiseUnaryLayer.hpp new file mode 100644 index 0000000000..850a814b6e --- /dev/null +++ b/src/armnn/layers/ElementwiseUnaryLayer.hpp @@ -0,0 +1,48 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "LayerWithParameters.hpp" + +namespace armnn +{ + +/// This layer represents a elementwiseUnary operation. +class ElementwiseUnaryLayer : public LayerWithParameters<ElementwiseUnaryDescriptor> +{ +public: + /// Makes a workload for the elementwiseUnary type + /// @param [in] graph The graph where this layer can be found + /// @param [in] factory The workload factory which will create the workload + /// @return A pointer to the created workload, or nullptr if not created + virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override; + + /// Creates a dynamically-allocated copy of this layer + /// @param [in] graph The graph into which this layer is being cloned + ElementwiseUnaryLayer* Clone(Graph& graph) const override; + + /// Returns inputShapes by default. + /// @param [in] inputShapes The input shapes layer has. + /// @return A vector to the inferred output shape. + std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override; + + /// Check if the input tensor shape(s) will lead to a valid configuration + /// of @ref ElementwiseUnaryLayer + void ValidateTensorShapesFromInputs() override; + + void Accept(ILayerVisitor& visitor) const override; + +protected: + /// Constructor to create a ElementwiseUnaryLayer + /// @param [in] param ElementwiseUnaryDescriptor to configure the ElementwiseUnaryLayer + /// @param [in] name Optional name for the layer + ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& param, const char* name); + + /// Default destructor + ~ElementwiseUnaryLayer() = default; +}; + +} // namespace armnn |