| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonFillWorkload.hpp" |
| |
| #include <neon/NeonTensorHandle.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <arm_compute/core/Types.h> |
| #include <arm_compute/runtime/NEON/functions/NEFill.h> |
| |
| #include "NeonWorkloadUtils.hpp" |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| NeonFillWorkload::NeonFillWorkload(const FillQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : NeonBaseWorkload<FillQueueDescriptor>(descriptor, info) |
| { |
| // Report Profiling Details |
| ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonFillWorkload_Construct", |
| descriptor.m_Parameters, |
| info, |
| this->GetGuid()); |
| |
| m_Data.ValidateInputsOutputs("NeonFillWorkload", 1, 1); |
| |
| arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| arm_compute::PixelValue pixelValue = GetPixelValue(output.info(), descriptor.m_Parameters.m_Value); |
| |
| auto layer = std::make_unique<arm_compute::NEFill>(); |
| layer->configure(&output, pixelValue); |
| m_Layer.reset(layer.release()); |
| } |
| |
| void NeonFillWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonFillWorkload_Execute", this->GetGuid()); |
| m_Layer->run(); |
| } |
| |
| } // namespace armnn |