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Diffstat (limited to 'src/armnn/layers/ScatterNdLayer.hpp')
-rw-r--r-- | src/armnn/layers/ScatterNdLayer.hpp | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/src/armnn/layers/ScatterNdLayer.hpp b/src/armnn/layers/ScatterNdLayer.hpp new file mode 100644 index 0000000000..adad66758a --- /dev/null +++ b/src/armnn/layers/ScatterNdLayer.hpp @@ -0,0 +1,44 @@ +// +// Copyright © 2024 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "LayerWithParameters.hpp" + +namespace armnn +{ + +/// This layer represents a ScatterNd operator. +class ScatterNdLayer : public LayerWithParameters<ScatterNdDescriptor> +{ +public: + /// Makes a workload for the ScatterNd type. + /// @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. + ScatterNdLayer* Clone(Graph& graph) const override; + + /// 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 ScatterNdLayer. + void ValidateTensorShapesFromInputs() override; + +protected: + /// Constructor to create a ScatterNdLayer. + /// @param [in] name Optional name for the layer. + ScatterNdLayer(const ScatterNdDescriptor& param, const char* name); + + /// Default destructor + ~ScatterNdLayer() = default; +}; + +} // namespace armnn |