Teresa Charlin | cedd34f | 2020-03-30 11:17:30 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "NeonComparisonWorkload.hpp" |
| 7 | #include <aclCommon/ArmComputeUtils.hpp> |
| 8 | #include <aclCommon/ArmComputeTensorUtils.hpp> |
| 9 | #include <backendsCommon/CpuTensorHandle.hpp> |
| 10 | |
| 11 | namespace armnn |
| 12 | { |
| 13 | using namespace armcomputetensorutils; |
| 14 | |
| 15 | arm_compute::Status NeonComparisonWorkloadValidate(const TensorInfo& input0, |
| 16 | const TensorInfo& input1, |
| 17 | const TensorInfo& output, |
| 18 | const ComparisonDescriptor& descriptor) |
| 19 | { |
| 20 | const arm_compute::TensorInfo aclInput0 = BuildArmComputeTensorInfo(input0); |
| 21 | const arm_compute::TensorInfo aclInput1 = BuildArmComputeTensorInfo(input1); |
| 22 | const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output); |
| 23 | |
| 24 | const arm_compute::ComparisonOperation comparisonOperation = ConvertComparisonOperationToAcl(descriptor); |
| 25 | |
| 26 | const arm_compute::Status aclStatus = arm_compute::NEElementwiseComparison::validate(&aclInput0, |
| 27 | &aclInput1, |
| 28 | &aclOutput, |
| 29 | comparisonOperation); |
| 30 | return aclStatus; |
| 31 | } |
| 32 | |
| 33 | NeonComparisonWorkload::NeonComparisonWorkload(const ComparisonQueueDescriptor& descriptor, const WorkloadInfo& info) |
| 34 | : BaseWorkload<ComparisonQueueDescriptor>(descriptor, info) |
| 35 | { |
| 36 | m_Data.ValidateInputsOutputs("NeonComparisonWorkload", 2, 1); |
| 37 | |
| 38 | arm_compute::ITensor& input0 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| 39 | arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); |
| 40 | arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| 41 | |
| 42 | const arm_compute::ComparisonOperation comparisonOperation = ConvertComparisonOperationToAcl(m_Data.m_Parameters); |
| 43 | |
| 44 | m_ComparisonLayer.configure(&input0, &input1, &output, comparisonOperation); |
| 45 | } |
| 46 | |
| 47 | void NeonComparisonWorkload::Execute() const |
| 48 | { |
| 49 | ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonComparisonWorkload_Execute"); |
| 50 | m_ComparisonLayer.run(); |
| 51 | } |
| 52 | |
| 53 | } //namespace armnn |