| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonConvolution2dFloatWorkload.hpp" |
| #include <backends/CpuTensorHandle.hpp> |
| #include <backends/aclCommon/ArmComputeTensorUtils.hpp> |
| #include <backends/NeonLayerSupport.hpp> |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| NeonConvolution2dFloatWorkload::NeonConvolution2dFloatWorkload(const Convolution2dQueueDescriptor& descriptor, |
| const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) |
| : NeonConvolution2dBaseWorkload(descriptor, info, memoryManager) |
| { |
| if (m_Data.m_Parameters.m_BiasEnabled) |
| { |
| InitializeArmComputeTensorDataForFloatTypes(*m_BiasTensor, m_Data.m_Bias); |
| } |
| |
| m_ConvolutionLayer->prepare(); |
| FreeUnusedTensors(); |
| } |
| |
| void NeonConvolution2dFloatWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConvolution2dFloatWorkload_Execute"); |
| m_ConvolutionLayer->run(); |
| } |
| |
| void NeonConvolution2dFloatWorkload::ValidateData() const |
| { |
| m_Data.ValidateInputsOutputs("NeonConvolution2dFloatWorkload", 1, 1); |
| } |
| |
| } //namespace armnn |
| |
