| // |
| // Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonSoftmaxWorkload.hpp" |
| #include "NeonWorkloadUtils.hpp" |
| |
| #include <armnn/utility/PolymorphicDowncast.hpp> |
| |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| |
| #include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h> |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonSoftmaxWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const SoftmaxDescriptor& descriptor) |
| { |
| const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| |
| int aclAxis = ComputeAclAxis(descriptor.m_Axis, input); |
| return arm_compute::NESoftmaxLayer::validate(&aclInputInfo, |
| &aclOutputInfo, |
| descriptor.m_Beta, |
| aclAxis); |
| } |
| |
| NeonSoftmaxWorkload::NeonSoftmaxWorkload(const SoftmaxQueueDescriptor& descriptor, |
| const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) |
| : NeonBaseWorkload<SoftmaxQueueDescriptor>(descriptor, info) |
| { |
| // Report Profiling Details |
| ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonSoftmaxWorkload_Construct", |
| descriptor.m_Parameters, |
| info, |
| this->GetGuid()); |
| |
| m_Data.ValidateInputsOutputs("NeonSoftmaxWorkload", 1, 1); |
| |
| // The ArmCompute softmax layer uses 2D input/output tensors, so flatten the first three dimensions. |
| arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager); |
| int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]); |
| layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis); |
| m_SoftmaxLayer.reset(layer.release()); |
| } |
| |
| void NeonSoftmaxWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonSoftmaxWorkload_Execute"); |
| m_SoftmaxLayer->run(); |
| } |
| |
| } //namespace armnn |
| |