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Diffstat (limited to 'src/backends/reference/workloads/RefUnidirectionalSequenceLstmWorkload.hpp')
-rw-r--r-- | src/backends/reference/workloads/RefUnidirectionalSequenceLstmWorkload.hpp | 56 |
1 files changed, 56 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefUnidirectionalSequenceLstmWorkload.hpp b/src/backends/reference/workloads/RefUnidirectionalSequenceLstmWorkload.hpp new file mode 100644 index 0000000000..8ba7bdc0c6 --- /dev/null +++ b/src/backends/reference/workloads/RefUnidirectionalSequenceLstmWorkload.hpp @@ -0,0 +1,56 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include <armnn/TypesUtils.hpp> + +#include <backendsCommon/Workload.hpp> +#include <backendsCommon/WorkloadData.hpp> + +#include "Encoders.hpp" +#include "Decoders.hpp" + +namespace armnn +{ + +class RefUnidirectionalSequenceLstmWorkload : public BaseWorkload<UnidirectionalSequenceLstmQueueDescriptor> +{ +public: + explicit RefUnidirectionalSequenceLstmWorkload(const UnidirectionalSequenceLstmQueueDescriptor& descriptor, + const WorkloadInfo& info); + + void Execute() const override; + void ExecuteAsync(WorkingMemDescriptor& workingMemDescriptor) override; + + +private: + void Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const; + std::unique_ptr<ScopedTensorHandle> m_InputToInputWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_InputToForgetWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_InputToCellWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_InputToOutputWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_RecurrentToInputWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_RecurrentToForgetWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_RecurrentToCellWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_RecurrentToOutputWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_CellToInputWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_CellToForgetWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_CellToOutputWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_InputGateBiasTensor; + std::unique_ptr<ScopedTensorHandle> m_ForgetGateBiasTensor; + std::unique_ptr<ScopedTensorHandle> m_CellBiasTensor; + std::unique_ptr<ScopedTensorHandle> m_OutputGateBiasTensor; + std::unique_ptr<ScopedTensorHandle> m_ProjectionWeightsTensor; + std::unique_ptr<ScopedTensorHandle> m_ProjectionBiasTensor; + std::unique_ptr<ScopedTensorHandle> m_InputLayerNormWeights; + std::unique_ptr<ScopedTensorHandle> m_ForgetLayerNormWeights; + std::unique_ptr<ScopedTensorHandle> m_CellLayerNormWeights; + std::unique_ptr<ScopedTensorHandle> m_OutputLayerNormWeights; + + float m_LayerNormEpsilon = static_cast<float>(1e-8); +}; + +} //namespace armnn |