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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp')
-rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp | 83 |
1 files changed, 0 insertions, 83 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp b/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp deleted file mode 100644 index f4a09d4aed..0000000000 --- a/src/armnn/backends/NeonWorkloads/NeonBaseConstantWorkload.hpp +++ /dev/null @@ -1,83 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#pragma once - -#include <arm_compute/core/Types.h> -#include <backends/ArmComputeTensorUtils.hpp> -#include <backends/CpuTensorHandle.hpp> -#include <backends/NeonTensorHandle.hpp> -#include <backends/NeonWorkloadUtils.hpp> -#include <backends/Workload.hpp> -#include <Half.hpp> - -#include <boost/cast.hpp> -#include "Half.hpp" - -namespace armnn -{ - -// Base class template providing an implementation of the Constant layer common to all data types. -template <armnn::DataType... DataFormats> -class NeonBaseConstantWorkload : public TypedWorkload<ConstantQueueDescriptor, DataFormats...> -{ -public: - NeonBaseConstantWorkload(const ConstantQueueDescriptor& descriptor, const WorkloadInfo& info) - : TypedWorkload<ConstantQueueDescriptor, DataFormats...>(descriptor, info) - , m_RanOnce(false) - { - } - - virtual void Execute() const override - { - using namespace armcomputetensorutils; - - // The intermediate tensor held by the corresponding layer output handler can be initialised with the - // given data on the first inference, then reused for subsequent inferences. - // The initialisation cannot happen at workload construction time since the ACL kernel for the next layer - // may not have been configured at the time. - if (!m_RanOnce) - { - const ConstantQueueDescriptor& data = this->m_Data; - - BOOST_ASSERT(data.m_LayerOutput != nullptr); - arm_compute::ITensor& output = - boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetTensor(); - arm_compute::DataType computeDataType = - boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetDataType(); - - switch (computeDataType) - { - case arm_compute::DataType::F16: - { - CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<Half>(), output); - break; - } - case arm_compute::DataType::F32: - { - CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<float>(), output); - break; - } - case arm_compute::DataType::QASYMM8: - { - CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<uint8_t>(), output); - break; - } - default: - { - BOOST_ASSERT_MSG(false, "Unknown data type"); - break; - } - } - - m_RanOnce = true; - } - } - -private: - mutable bool m_RanOnce; -}; - -} //namespace armnn |