| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonResizeWorkload.hpp" |
| |
| #include "NeonWorkloadUtils.hpp" |
| |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <armnn/utility/PolymorphicDowncast.hpp> |
| #include <armnn/backends/TensorHandle.hpp> |
| |
| #include <neon/NeonTensorHandle.hpp> |
| |
| using namespace armnn::armcomputetensorutils; |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonResizeWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const ResizeDescriptor& descriptor) |
| { |
| arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); |
| arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); |
| |
| arm_compute::DataLayout aclDataLayout = ConvertDataLayout(descriptor.m_DataLayout); |
| aclInputInfo.set_data_layout(aclDataLayout); |
| aclOutputInfo.set_data_layout(aclDataLayout); |
| |
| arm_compute::InterpolationPolicy aclInterpolationPolicy = |
| ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Method); |
| |
| arm_compute::SamplingPolicy samplingPolicy = descriptor.m_HalfPixelCenters ? arm_compute::SamplingPolicy::CENTER : |
| arm_compute::SamplingPolicy::TOP_LEFT; |
| |
| bool usePadding = false; |
| |
| return arm_compute::NEScale::validate(&aclInputInfo, |
| &aclOutputInfo, |
| arm_compute::ScaleKernelInfo(aclInterpolationPolicy, |
| arm_compute::BorderMode::REPLICATE, |
| arm_compute::PixelValue(0.f), |
| samplingPolicy, |
| usePadding, |
| descriptor.m_AlignCorners)); |
| |
| } |
| |
| NeonResizeWorkload::NeonResizeWorkload(const ResizeQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : NeonBaseWorkload<ResizeQueueDescriptor>(descriptor, info) |
| { |
| // Report Profiling Details |
| ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonResizeWorkload_Construct", |
| descriptor.m_Parameters, |
| info, |
| this->GetGuid()); |
| |
| m_Data.ValidateInputsOutputs("NeonResizeWorkload", 1, 1); |
| |
| arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| input.info()->set_data_layout(aclDataLayout); |
| output.info()->set_data_layout(aclDataLayout); |
| |
| arm_compute::InterpolationPolicy aclInterpolationPolicy = |
| ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Parameters.m_Method); |
| |
| arm_compute::SamplingPolicy samplingPolicy = descriptor.m_Parameters.m_HalfPixelCenters |
| ? arm_compute::SamplingPolicy::CENTER |
| : arm_compute::SamplingPolicy::TOP_LEFT; |
| |
| bool usePadding = false; |
| |
| m_ResizeLayer.configure(&input, |
| &output, |
| arm_compute::ScaleKernelInfo(aclInterpolationPolicy, |
| arm_compute::BorderMode::REPLICATE, |
| arm_compute::PixelValue(0.f), |
| samplingPolicy, |
| usePadding, |
| descriptor.m_Parameters.m_AlignCorners)); |
| }; |
| |
| void NeonResizeWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonResizeWorkload_Execute", this->GetGuid()); |
| m_ResizeLayer.run(); |
| } |
| |
| } //namespace armnn |