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//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClFullyConnectedWorkload.hpp"
#include <cl/ClTensorHandle.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <aclCommon/ArmComputeUtils.hpp>
#include <cl/ClLayerSupport.hpp>
#include "ClWorkloadUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
arm_compute::Status ClFullyConnectedWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const TensorInfo& weights,
const Optional<TensorInfo>& biases,
const FullyConnectedDescriptor& descriptor,
const ActivationDescriptor* activationDescriptor)
{
const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output);
const arm_compute::TensorInfo aclWeights = BuildArmComputeTensorInfo(weights);
arm_compute::TensorInfo aclBiases;
arm_compute::TensorInfo* optionalAclBiases = nullptr;
if (descriptor.m_BiasEnabled)
{
ARMNN_ASSERT(biases.has_value());
aclBiases = BuildArmComputeTensorInfo(biases.value());
optionalAclBiases = &aclBiases;
}
const arm_compute::FullyConnectedLayerInfo fullyConnectedLayerInfo =
ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(descriptor, activationDescriptor);
return arm_compute::CLFullyConnectedLayer::validate(&aclInput,
&aclWeights,
optionalAclBiases,
&aclOutput,
fullyConnectedLayerInfo);
}
ClFullyConnectedWorkload::ClFullyConnectedWorkload(
const FullyConnectedQueueDescriptor& descriptor,
const WorkloadInfo& info,
std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager,
const arm_compute::CLCompileContext& clCompileContext)
: ClBaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info), m_FullyConnectedLayer(memoryManager)
{
// Add details for profiling output
WorkloadInfo detailsInfo;
detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos;
detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos;
detailsInfo.m_WeightsTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Weight->GetTensorInfo());
if (descriptor.m_Parameters.m_BiasEnabled)
{
detailsInfo.m_BiasTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Bias->GetTensorInfo());
}
// Report Profiling Details
ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClFullyConnectedWorkload_Construct",
descriptor.m_Parameters,
detailsInfo,
this->GetGuid());
m_WeightsTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_WeightsTensor, m_Data.m_Weight->GetTensorInfo());
if (m_Data.m_Parameters.m_BiasEnabled)
{
m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
BuildArmComputeTensor(*m_BiasesTensor, m_Data.m_Bias->GetTensorInfo());
}
m_Data.ValidateInputsOutputs("ClFullyConnectedWorkload", 1, 1);
arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
arm_compute::FullyConnectedLayerInfo fc_info =
ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(descriptor.m_Parameters, activationInfo);
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClFullyConnectedWorkload_configure");
m_FullyConnectedLayer.configure(clCompileContext,
&input,
m_WeightsTensor.get(),
m_BiasesTensor.get(),
&output,
fc_info);
}
InitializeArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight);
if (m_BiasesTensor)
{
InitializeArmComputeClTensorData(*m_BiasesTensor, m_Data.m_Bias);
}
// Force Compute Library to perform the necessary copying and reshaping, after which
// delete all the input tensors that will no longer be needed
m_FullyConnectedLayer.prepare();
FreeUnusedTensors();
}
void ClFullyConnectedWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClFullyConnectedWorkload_Execute", this->GetGuid());
RunClFunction(m_FullyConnectedLayer, CHECK_LOCATION());
}
void ClFullyConnectedWorkload::FreeUnusedTensors()
{
FreeTensorIfUnused(m_WeightsTensor);
FreeTensorIfUnused(m_BiasesTensor);
}
} //namespace armnn
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