ArmNN
 25.11
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SplitterLayer.hpp
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1//
2// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5#pragma once
6
8
9namespace armnn
10{
11
12/// This layer represents a split operation.
13class SplitterLayer : public LayerWithParameters<ViewsDescriptor>
14{
15public:
16 /// Makes a workload for the Splitter type.
17 /// @param [in] graph The graph where this layer can be found.
18 /// @param [in] factory The workload factory which will create the workload.
19 /// @return A pointer to the created workload, or nullptr if not created.
20 virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
21
22 /// Set the outputs to be appropriate sub tensors of the input if sub tensors are supported
23 /// otherwise creates tensor handlers.
24 /// @param [in] registry Contains all the registered tensor handle factories available for use.
25 /// @param [in] factory The workload factory which will create the workload.
26 /// @param [in] IsMemoryManaged Determine whether or not to assign a memory manager during creation
27 virtual void CreateTensorHandles(const TensorHandleFactoryRegistry& registry,
28 const IWorkloadFactory& factory,
29 const bool IsMemoryManaged = true) override;
30
31 /// Creates a dynamically-allocated copy of this layer.
32 /// @param [in] graph The graph into which this layer is being cloned.
33 SplitterLayer* Clone(Graph& graph) const override;
34
35 /// Check if the input tensor shape(s)
36 /// will lead to a valid configuration of @ref SplitterLayer.
37 /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
38 void ValidateTensorShapesFromInputs() override;
39
40 /// By default returns inputShapes if the number of inputs are equal to number of outputs,
41 /// otherwise infers the output shapes from given input shapes and layer properties.
42 /// @param [in] inputShapes The input shapes layer has.
43 /// @return A vector to the inferred output shape.
44 std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
45
46 void ExecuteStrategy(IStrategy& strategy) const override;
47
48
49protected:
50 /// Constructor to create a SplitterLayer.
51 /// @param [in] param ViewsDescriptor to configure the splitter operation.
52 /// @param [in] name Optional name for the layer.
53 SplitterLayer(const ViewsDescriptor& param, const char* name);
54
55 /// Default destructor
56 ~SplitterLayer() = default;
57
58private:
59 template <typename FactoryType>
60 void CreateTensors(const TensorHandleFactoryRegistry& registry, const FactoryType& factory, bool isMemoryManaged);
61};
62
63} // namespace
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const ViewsDescriptor &param, const char *name)
~SplitterLayer()=default
Default destructor.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs,...
virtual void CreateTensorHandles(const TensorHandleFactoryRegistry &registry, const IWorkloadFactory &factory, const bool IsMemoryManaged=true) override
Set the outputs to be appropriate sub tensors of the input if sub tensors are supported otherwise cre...
SplitterLayer(const ViewsDescriptor &param, const char *name)
Constructor to create a SplitterLayer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SplitterLayer.
SplitterLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Splitter type.
Copyright (c) 2021 ARM Limited and Contributors.
A ViewsDescriptor for the SplitterLayer.