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author | James Conroy <james.conroy@arm.com> | 2020-04-29 20:01:10 +0100 |
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committer | James Conroy <james.conroy@arm.com> | 2020-05-02 16:44:33 +0000 |
commit | 4f1f899da140bb0490cf7e404daeaf1206f4db8b (patch) | |
tree | dc6d1215440e0efa677d47a4b944882d72e12cc9 /src/backends/reference/workloads/RefQLstmWorkload.hpp | |
parent | 56e1a5f68213c9134826ad14c6e1fb4c0d41fb46 (diff) | |
download | armnn-4f1f899da140bb0490cf7e404daeaf1206f4db8b.tar.gz |
IVGCVSW-4449 Add QLstm ref implementation
* Adds ref implemenation for new HAL 1.3
operator, QLstm.
* Adds Layer and CreateWorkload unit tests.
* Adds WorkloadData validate for QLstm.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I8a721f07ff06105e6495a1a0561b9503aa8146dc
Diffstat (limited to 'src/backends/reference/workloads/RefQLstmWorkload.hpp')
-rw-r--r-- | src/backends/reference/workloads/RefQLstmWorkload.hpp | 54 |
1 files changed, 54 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefQLstmWorkload.hpp b/src/backends/reference/workloads/RefQLstmWorkload.hpp new file mode 100644 index 0000000000..19d3a2af0f --- /dev/null +++ b/src/backends/reference/workloads/RefQLstmWorkload.hpp @@ -0,0 +1,54 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include <armnn/TypesUtils.hpp> + +#include <backendsCommon/Workload.hpp> +#include <backendsCommon/WorkloadData.hpp> + +namespace armnn +{ + +class RefQLstmWorkload : public BaseWorkload<QLstmQueueDescriptor> +{ +public: + explicit RefQLstmWorkload(const QLstmQueueDescriptor& descriptor, const WorkloadInfo& info); + + virtual void Execute() const override; + +private: + std::unique_ptr<ScopedCpuTensorHandle> m_InputToInputWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_InputToForgetWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_InputToCellWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_InputToOutputWeightsTensor; + + std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToInputWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToForgetWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToCellWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToOutputWeightsTensor; + + std::unique_ptr<ScopedCpuTensorHandle> m_CellToInputWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_CellToForgetWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_CellToOutputWeightsTensor; + + std::unique_ptr<ScopedCpuTensorHandle> m_InputGateBiasTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_ForgetGateBiasTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_CellBiasTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_OutputGateBiasTensor; + + std::unique_ptr<ScopedCpuTensorHandle> m_ProjectionWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_ProjectionBiasTensor; + + std::unique_ptr<ScopedCpuTensorHandle> m_InputLayerNormWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_ForgetLayerNormWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_CellLayerNormWeightsTensor; + std::unique_ptr<ScopedCpuTensorHandle> m_OutputLayerNormWeightsTensor; + + float m_LayerNormEpsilon = static_cast<float>(1e-8); +}; + +} //namespace armnn |