| // |
| // Copyright © 2020 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonSpaceToBatchNdWorkload.hpp" |
| |
| #include "NeonWorkloadUtils.hpp" |
| #include <ResolveType.hpp> |
| |
| namespace armnn |
| { |
| |
| using namespace armcomputetensorutils; |
| |
| arm_compute::Status NeonSpaceToBatchNdWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const SpaceToBatchNdDescriptor& descriptor) |
| { |
| const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); |
| const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); |
| |
| // ArmNN blockShape is [H, W] Cl asks for W, H |
| int32_t blockHeight = boost::numeric_cast<int32_t>(descriptor.m_BlockShape[0]); |
| int32_t blockWidth = boost::numeric_cast<int32_t>(descriptor.m_BlockShape[1]); |
| |
| arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D( |
| descriptor.m_PadList[1].first, descriptor.m_PadList[0].first); |
| arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D( |
| descriptor.m_PadList[1].second, descriptor.m_PadList[0].second); |
| |
| return arm_compute::NESpaceToBatchLayer::validate(&aclInputInfo, |
| blockWidth, |
| blockHeight, |
| paddingLeftTop, |
| paddingRightBottom, |
| &aclOutputInfo); |
| } |
| |
| NeonSpaceToBatchNdWorkload::NeonSpaceToBatchNdWorkload(const SpaceToBatchNdQueueDescriptor& desc, |
| const WorkloadInfo& info) |
| : BaseWorkload<SpaceToBatchNdQueueDescriptor>(desc, info) |
| { |
| m_Data.ValidateInputsOutputs("NESpaceToBatchNdWorkload", 1, 1); |
| |
| arm_compute::ITensor& input = |
| boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = |
| boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| // ArmNN blockShape is [H, W] Cl asks for W, H |
| int32_t blockHeight = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]); |
| int32_t blockWidth = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]); |
| |
| arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D( |
| m_Data.m_Parameters.m_PadList[1].first, m_Data.m_Parameters.m_PadList[0].first); |
| arm_compute::Size2D paddingRightBottom = BuildArmComputeSize2D( |
| m_Data.m_Parameters.m_PadList[1].second, m_Data.m_Parameters.m_PadList[0].second); |
| |
| 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.reset(new arm_compute::NESpaceToBatchLayer()); |
| m_Layer->configure(&input, |
| blockWidth, |
| blockHeight, |
| paddingLeftTop, |
| paddingRightBottom, |
| &output); |
| m_Layer->prepare(); |
| } |
| |
| void NeonSpaceToBatchNdWorkload::Execute() const |
| { |
| if (m_Layer) |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToBatchNdWorkload_Execute"); |
| m_Layer->run(); |
| } |
| } |
| |
| } //namespace armnn |