| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #pragma once |
| |
| #include "LayerWithParameters.hpp" |
| |
| namespace armnn |
| { |
| |
| /// This layer represents a resize operation. |
| class ResizeLayer : public LayerWithParameters<ResizeDescriptor> |
| { |
| public: |
| /// Makes a workload for the Resize 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. |
| ResizeLayer* Clone(Graph& graph) const override; |
| |
| /// Check if the input tensor shape(s) |
| /// will lead to a valid configuration of @ref ResizeLayer. |
| void ValidateTensorShapesFromInputs() 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; |
| |
| void Accept(ILayerVisitor& visitor) const override; |
| |
| protected: |
| /// Constructor to create a ResizeLayer. |
| /// @param [in] param ResizeDescriptor to configure the resize operation. |
| /// @param [in] name Optional name for the layer. |
| ResizeLayer(const ResizeDescriptor& param, const char* name); |
| |
| /// Default destructor |
| ~ResizeLayer() = default; |
| }; |
| |
| } // namespace armnn |