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//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClSoftmaxWorkload.hpp"
#include "ClWorkloadUtils.hpp"
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <aclCommon/ArmComputeUtils.hpp>
#include <cl/ClTensorHandle.hpp>
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<arm_compute::MemoryManagerOnDemand>& memoryManager,
const arm_compute::CLCompileContext& clCompileContext)
: BaseWorkload<SoftmaxQueueDescriptor>(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<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(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
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