| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClSoftmaxFloatWorkload.hpp" |
| #include "ClWorkloadUtils.hpp" |
| |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include <cl/ClTensorHandle.hpp> |
| #include <backendsCommon/CpuTensorHandle.hpp> |
| |
| namespace armnn |
| { |
| |
| ClSoftmaxFloatWorkload::ClSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& descriptor, const WorkloadInfo& info, |
| std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) |
| : FloatWorkload<SoftmaxQueueDescriptor>(descriptor, info) |
| , m_SoftmaxLayer(memoryManager) |
| { |
| m_Data.ValidateInputsOutputs("ClSoftmaxFloatWorkload", 1, 1); |
| |
| arm_compute::ICLTensor& input = static_cast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| unsigned int aclAxis = ComputeSoftmaxAclAxis(info.m_InputTensorInfos[0]); |
| m_SoftmaxLayer.configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis); |
| } |
| |
| void ClSoftmaxFloatWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL("ClSoftmaxFloatWorkload_Execute"); |
| RunClFunction(m_SoftmaxLayer, CHECK_LOCATION()); |
| } |
| |
| } //namespace armnn |