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Diffstat (limited to 'src/armnn/layers/PreluLayer.hpp')
-rw-r--r-- | src/armnn/layers/PreluLayer.hpp | 49 |
1 files changed, 49 insertions, 0 deletions
diff --git a/src/armnn/layers/PreluLayer.hpp b/src/armnn/layers/PreluLayer.hpp new file mode 100644 index 0000000000..54e57b22c1 --- /dev/null +++ b/src/armnn/layers/PreluLayer.hpp @@ -0,0 +1,49 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "LayerWithParameters.hpp" + +namespace armnn +{ + +// This layer represents a PReLU activation operation. +class PreluLayer : public Layer +{ +public: + /// Makes a workload for the PReLU 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 Graph& graph, + 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. + PreluLayer* Clone(Graph& graph) const override; + + /// By default returns inputShapes if the number of inputs are equal to number of outputs, + /// otherwise infers the output shapes from given input shapes and layer properties. + /// @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 PreluLayer. + void ValidateTensorShapesFromInputs() override; + + void Accept(ILayerVisitor& visitor) const override; + +protected: + /// Constructor to create a PreluLayer. + /// @param [in] name Optional name for the layer. + PreluLayer(const char* name); + + /// Default destructor + ~PreluLayer() = default; +}; + +} // namespace armnn |