| // |
| // Copyright © 2019 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClArgMinMaxWorkload.hpp" |
| #include "ClWorkloadUtils.hpp" |
| |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| |
| #include <backendsCommon/TensorHandle.hpp> |
| |
| #include <armnnUtils/TensorUtils.hpp> |
| #include <armnn/utility/NumericCast.hpp> |
| |
| #include <cl/ClTensorHandle.hpp> |
| #include <cl/ClLayerSupport.hpp> |
| |
| namespace |
| { |
| unsigned int CalcAclAxis(unsigned int numDimensions, unsigned int axisIndex) |
| { |
| return (numDimensions - axisIndex) - 1; |
| } |
| |
| } //namespace |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status ClArgMinMaxWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const ArgMinMaxDescriptor& descriptor) |
| { |
| const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| |
| auto numDims = input.GetNumDimensions(); |
| auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, descriptor.m_Axis); |
| int aclAxis = armnn::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis)); |
| |
| if (descriptor.m_Function == ArgMinMaxFunction::Max) |
| { |
| return arm_compute::CLArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput, |
| arm_compute::ReductionOperation::ARG_IDX_MAX); |
| } |
| else |
| { |
| return arm_compute::CLArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput, |
| arm_compute::ReductionOperation::ARG_IDX_MIN); |
| } |
| } |
| |
| |
| ClArgMinMaxWorkload::ClArgMinMaxWorkload(const ArgMinMaxQueueDescriptor& descriptor, |
| const WorkloadInfo& info, |
| const arm_compute::CLCompileContext& clCompileContext) |
| : BaseWorkload<ArgMinMaxQueueDescriptor>(descriptor, info) |
| { |
| arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor(); |
| |
| auto numDims = info.m_InputTensorInfos[0].GetNumDimensions(); |
| auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, m_Data.m_Parameters.m_Axis); |
| int aclAxis = armnn::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis)); |
| |
| if (m_Data.m_Parameters.m_Function == ArgMinMaxFunction::Max) |
| { |
| m_ArgMinMaxLayer.configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MAX); |
| } |
| else |
| { |
| m_ArgMinMaxLayer.configure(clCompileContext, |
| &input, |
| aclAxis, |
| &output, |
| arm_compute::ReductionOperation::ARG_IDX_MIN); |
| } |
| } |
| |
| void ClArgMinMaxWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL("ClArgMinMaxWorkload_Execute"); |
| RunClFunction(m_ArgMinMaxLayer, CHECK_LOCATION()); |
| } |
| |
| } //namespace armnn |
| |