| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #pragma once |
| |
| #include "LayerWithParameters.hpp" |
| |
| namespace armnn |
| { |
| |
| class ScopedCpuTensorHandle; |
| |
| struct LstmOptLayerNormParameters |
| { |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_InputLayerNormWeights; |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_ForgetLayerNormWeights; |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_CellLayerNormWeights; |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_OutputLayerNormWeights; |
| }; |
| |
| struct LstmOptCifgParameters |
| { |
| /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_InputToInputWeights; |
| /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToInputWeights; |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_CellToInputWeights; |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_InputGateBias; |
| }; |
| |
| struct LstmOptProjectionParameters |
| { |
| /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_ProjectionWeights; |
| /// A unique pointer to represent 1D weights tensor with dimensions [output_size]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_ProjectionBias; |
| }; |
| |
| struct LstmOptPeepholeParameters |
| { |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_CellToForgetWeights; |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_CellToOutputWeights; |
| }; |
| |
| struct LstmBasicParameters |
| { |
| /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_InputToForgetWeights; |
| /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_InputToCellWeights; |
| /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_InputToOutputWeights; |
| /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToForgetWeights; |
| /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToCellWeights; |
| /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToOutputWeights; |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_ForgetGateBias; |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_CellBias; |
| /// A unique pointer to represent 1D weights tensor with dimensions [num_units]. |
| std::unique_ptr<ScopedCpuTensorHandle> m_OutputGateBias; |
| }; |
| |
| /// This layer represents a LSTM operation. |
| class LstmLayer : public LayerWithParameters<LstmDescriptor> |
| { |
| public: |
| |
| LstmBasicParameters m_BasicParameters; |
| LstmOptCifgParameters m_CifgParameters; |
| LstmOptProjectionParameters m_ProjectionParameters; |
| LstmOptPeepholeParameters m_PeepholeParameters; |
| LstmOptLayerNormParameters m_LayerNormParameters; |
| |
| /// Makes a workload for the LSTM 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. |
| LstmLayer* Clone(Graph& graph) const override; |
| |
| /// Check if the input tensor shape(s) |
| /// will lead to a valid configuration of @ref LstmLayer. |
| 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 LstmLayer. |
| /// @param [in] param LstmDescriptor to configure the lstm operation. |
| /// @param [in] name Optional name for the layer. |
| LstmLayer(const LstmDescriptor& param, const char* name); |
| |
| /// Default destructor |
| ~LstmLayer() = default; |
| |
| /// Retrieve the handles to the constant values stored by the layer. |
| /// @return A vector of the constant tensors stored by this layer. |
| Layer::ConstantTensors GetConstantTensorsByRef() override; |
| }; |
| |
| } // namespace |