// // Copyright © 2019 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #pragma once #include "LayerWithParameters.hpp" namespace armnn { /// This layer represents a log softmax operation. class LogSoftmaxLayer : public LayerWithParameters { public: /// Makes a workload for the LogSoftmax 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 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. LogSoftmaxLayer* Clone(Graph& graph) const override; /// Check if the input tensor shape(s) /// will lead to a valid configuration of @ref LogSoftmaxLayer. /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated. void ValidateTensorShapesFromInputs( ShapeInferenceMethod shapeInferenceMethod = ShapeInferenceMethod::ValidateOnly) override; void Accept(ILayerVisitor& visitor) const override; protected: /// Constructor to create a LogSoftmaxLayer. /// @param [in] param LogSoftmaxDescriptor to configure the log softmax operation. /// @param [in] name Optional name for the layer. LogSoftmaxLayer(const LogSoftmaxDescriptor& param, const char* name); /// Default destructor ~LogSoftmaxLayer() = default; }; } // namespace