| // |
| // Copyright © 2019 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonInstanceNormalizationWorkload.hpp" |
| |
| #include "NeonWorkloadUtils.hpp" |
| |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <backendsCommon/TensorHandle.hpp> |
| #include <neon/NeonTensorHandle.hpp> |
| |
| using namespace armnn::armcomputetensorutils; |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonInstanceNormalizationWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const InstanceNormalizationDescriptor& descriptor) |
| { |
| const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); |
| const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); |
| |
| return arm_compute::NEInstanceNormalizationLayer::validate(&aclInputInfo, |
| &aclOutputInfo, |
| descriptor.m_Gamma, |
| descriptor.m_Beta, |
| descriptor.m_Eps); |
| } |
| |
| NeonInstanceNormalizationWorkload::NeonInstanceNormalizationWorkload( |
| const InstanceNormalizationQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : BaseWorkload<InstanceNormalizationQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("NeonInstanceNormalizationWorkload", 1, 1); |
| |
| arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = static_cast<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); |
| |
| m_Layer.configure(&input, |
| &output, |
| descriptor.m_Parameters.m_Gamma, |
| descriptor.m_Parameters.m_Beta, |
| descriptor.m_Parameters.m_Eps); |
| }; |
| |
| void NeonInstanceNormalizationWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonInstanceNormalizationWorkload_Execute"); |
| m_Layer.run(); |
| } |
| |
| } // namespace armnn |