// // Copyright © 2020 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include "ClSoftmaxWorkload.hpp" #include "ClWorkloadUtils.hpp" #include #include #include namespace armnn { arm_compute::Status ClSoftmaxWorkloadValidate(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::CLSoftmaxLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_Beta, aclAxis); } ClSoftmaxWorkload::ClSoftmaxWorkload(const SoftmaxQueueDescriptor& descriptor, const WorkloadInfo& info, std::shared_ptr& memoryManager, const arm_compute::CLCompileContext& clCompileContext) : BaseWorkload(descriptor, info) , m_SoftmaxLayer(memoryManager) { // Report Profiling Details ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClSoftmaxWorkload_Construct", descriptor.m_Parameters, info, this->GetGuid()); m_Data.ValidateInputsOutputs("ClSoftmaxWorkload", 1, 1); arm_compute::ICLTensor& input = static_cast(m_Data.m_Inputs[0])->GetTensor(); arm_compute::ICLTensor& output = static_cast(m_Data.m_Outputs[0])->GetTensor(); int aclAxis = ComputeAclAxis(m_Data.m_Parameters.m_Axis, info.m_InputTensorInfos[0]); { ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClSoftmaxWorkload_configure"); m_SoftmaxLayer.configure(clCompileContext, &input, &output, m_Data.m_Parameters.m_Beta, aclAxis); } } void ClSoftmaxWorkload::Execute() const { ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClSoftmaxWorkload_Execute", this->GetGuid()); RunClFunction(m_SoftmaxLayer, CHECK_LOCATION()); } } // namespace armnn