Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2019 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "NeonInstanceNormalizationWorkload.hpp" |
| 7 | |
| 8 | #include "NeonWorkloadUtils.hpp" |
| 9 | |
| 10 | #include <aclCommon/ArmComputeTensorUtils.hpp> |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 11 | #include <backendsCommon/TensorHandle.hpp> |
Sadik Armagan | 0d4863d | 2019-10-09 14:26:32 +0100 | [diff] [blame] | 12 | #include <neon/NeonTensorHandle.hpp> |
| 13 | |
| 14 | using namespace armnn::armcomputetensorutils; |
| 15 | |
| 16 | namespace armnn |
| 17 | { |
| 18 | |
| 19 | arm_compute::Status NeonInstanceNormalizationWorkloadValidate(const TensorInfo& input, |
| 20 | const TensorInfo& output, |
| 21 | const InstanceNormalizationDescriptor& descriptor) |
| 22 | { |
| 23 | const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); |
| 24 | const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); |
| 25 | |
| 26 | return arm_compute::NEInstanceNormalizationLayer::validate(&aclInputInfo, |
| 27 | &aclOutputInfo, |
| 28 | descriptor.m_Gamma, |
| 29 | descriptor.m_Beta, |
| 30 | descriptor.m_Eps); |
| 31 | } |
| 32 | |
| 33 | NeonInstanceNormalizationWorkload::NeonInstanceNormalizationWorkload( |
| 34 | const InstanceNormalizationQueueDescriptor& descriptor, |
| 35 | const WorkloadInfo& info) |
| 36 | : BaseWorkload<InstanceNormalizationQueueDescriptor>(descriptor, info) |
| 37 | { |
| 38 | m_Data.ValidateInputsOutputs("NeonInstanceNormalizationWorkload", 1, 1); |
| 39 | |
| 40 | arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| 41 | arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| 42 | |
| 43 | arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| 44 | input.info()->set_data_layout(aclDataLayout); |
| 45 | output.info()->set_data_layout(aclDataLayout); |
| 46 | |
| 47 | m_Layer.configure(&input, |
| 48 | &output, |
| 49 | descriptor.m_Parameters.m_Gamma, |
| 50 | descriptor.m_Parameters.m_Beta, |
| 51 | descriptor.m_Parameters.m_Eps); |
| 52 | }; |
| 53 | |
| 54 | void NeonInstanceNormalizationWorkload::Execute() const |
| 55 | { |
| 56 | ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonInstanceNormalizationWorkload_Execute"); |
| 57 | m_Layer.run(); |
| 58 | } |
| 59 | |
| 60 | } // namespace armnn |