ArmNN
 22.08
LstmLayer.hpp
Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
8 #include "LstmParameters.hpp"
9 
10 namespace armnn
11 {
12 
13 class ScopedTensorHandle;
14 
15 /// This layer represents a LSTM operation.
16 class LstmLayer : public LayerWithParameters<LstmDescriptor>
17 {
18 public:
19 
25 
26  /// Makes a workload for the LSTM type.
27  /// @param [in] graph The graph where this layer can be found.
28  /// @param [in] factory The workload factory which will create the workload.
29  /// @return A pointer to the created workload, or nullptr if not created.
30  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
31 
32  /// Creates a dynamically-allocated copy of this layer.
33  /// @param [in] graph The graph into which this layer is being cloned.
34  LstmLayer* Clone(Graph& graph) const override;
35 
36  /// Check if the input tensor shape(s)
37  /// will lead to a valid configuration of @ref LstmLayer.
38  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
39  void ValidateTensorShapesFromInputs() override;
40 
41  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
42  /// otherwise infers the output shapes from given input shapes and layer properties.
43  /// @param [in] inputShapes The input shapes layer has.
44  /// @return A vector to the inferred output shape.
45  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
46 
47  void ExecuteStrategy(IStrategy& strategy) const override;
48 
49 protected:
50  /// Constructor to create a LstmLayer.
51  /// @param [in] param LstmDescriptor to configure the lstm operation.
52  /// @param [in] name Optional name for the layer.
53  LstmLayer(const LstmDescriptor& param, const char* name);
54 
55  /// Default destructor
56  ~LstmLayer() = default;
57 
58  /// Retrieve the handles to the constant values stored by the layer.
59  /// @return A vector of the constant tensors stored by this layer.
61 };
62 
63 } // namespace
LstmBasicParameters m_BasicParameters
Definition: LstmLayer.hpp:20
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the LSTM type.
Definition: LstmLayer.cpp:22
Copyright (c) 2021 ARM Limited and Contributors.
This layer represents a LSTM operation.
Definition: LstmLayer.hpp:16
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: LstmLayer.cpp:304
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of LstmLayer.
Definition: LstmLayer.cpp:168
std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >> ConstantTensors
Definition: INetwork.hpp:114
LstmLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: LstmLayer.cpp:80
An LstmDescriptor for the LstmLayer.
LstmOptLayerNormParameters m_LayerNormParameters
Definition: LstmLayer.hpp:24
Layer::ConstantTensors GetConstantTensorsByRef() override
Retrieve the handles to the constant values stored by the layer.
Definition: LstmLayer.cpp:270
LstmOptPeepholeParameters m_PeepholeParameters
Definition: LstmLayer.hpp:23
LstmOptProjectionParameters m_ProjectionParameters
Definition: LstmLayer.hpp:22
LstmLayer(const LstmDescriptor &param, const char *name)
Constructor to create a LstmLayer.
Definition: LstmLayer.cpp:17
LstmOptCifgParameters m_CifgParameters
Definition: LstmLayer.hpp:21
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, otherwise infers the output shapes from given input shapes and layer properties.
Definition: LstmLayer.cpp:150
~LstmLayer()=default
Default destructor.