| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClResizeBilinearFloatWorkload.hpp" |
| #include <cl/ClTensorHandle.hpp> |
| #include <backendsCommon/CpuTensorHandle.hpp> |
| #include <cl/ClLayerSupport.hpp> |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| |
| #include "ClWorkloadUtils.hpp" |
| |
| using namespace armnn::armcomputetensorutils; |
| |
| namespace armnn |
| { |
| |
| ClResizeBilinearFloatWorkload::ClResizeBilinearFloatWorkload(const ResizeBilinearQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : FloatWorkload<ResizeBilinearQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("ClResizeBilinearFloatWorkload", 1, 1); |
| |
| arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(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); |
| |
| m_ResizeBilinearLayer.configure(&input, &output, arm_compute::InterpolationPolicy::BILINEAR, |
| arm_compute::BorderMode::REPLICATE, arm_compute::PixelValue(0.f), |
| arm_compute::SamplingPolicy::TOP_LEFT); |
| }; |
| |
| void ClResizeBilinearFloatWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL("ClResizeBilinearFloatWorkload_Execute"); |
| RunClFunction(m_ResizeBilinearLayer, CHECK_LOCATION()); |
| } |
| |
| } //namespace armnn |