diff options
Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClFullyConnectedWorkload.cpp')
-rw-r--r-- | src/armnn/backends/ClWorkloads/ClFullyConnectedWorkload.cpp | 111 |
1 files changed, 0 insertions, 111 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClFullyConnectedWorkload.cpp b/src/armnn/backends/ClWorkloads/ClFullyConnectedWorkload.cpp deleted file mode 100644 index 8d2fd0e909..0000000000 --- a/src/armnn/backends/ClWorkloads/ClFullyConnectedWorkload.cpp +++ /dev/null @@ -1,111 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "ClFullyConnectedWorkload.hpp" -#include "backends/ClTensorHandle.hpp" -#include "backends/CpuTensorHandle.hpp" -#include "backends/ArmComputeTensorUtils.hpp" -#include "backends/ArmComputeUtils.hpp" -#include "backends/ClLayerSupport.hpp" - -#include "ClWorkloadUtils.hpp" - -namespace armnn -{ -using namespace armcomputetensorutils; - -arm_compute::Status ClFullyConnectedWorkloadValidate(const TensorInfo& input, - const TensorInfo& output, - const TensorInfo& weights, - const TensorInfo& biases, - const FullyConnectedDescriptor& descriptor) -{ - 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) - { - aclBiases = BuildArmComputeTensorInfo(biases); - optionalAclBiases = &aclBiases; - } - - const arm_compute::FullyConnectedLayerInfo fullyConnectedLayerInfo = - ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(descriptor); - - 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) - : BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info) - , m_FullyConnectedLayer(memoryManager) -{ - 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(); - - // Construct - arm_compute::FullyConnectedLayerInfo fc_info; - fc_info.transpose_weights = m_Data.m_Parameters.m_TransposeWeightMatrix; - m_FullyConnectedLayer.configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, fc_info); - - // Allocate - if (m_Data.m_Weight->GetTensorInfo().GetDataType() == DataType::QuantisedAsymm8) - { - InitialiseArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight->GetConstTensor<uint8_t>()); - } - else - { - InitializeArmComputeClTensorDataForFloatTypes(*m_WeightsTensor, m_Data.m_Weight); - } - - if (m_BiasesTensor) - { - if (m_Data.m_Bias->GetTensorInfo().GetDataType() == DataType::Signed32) - { - InitialiseArmComputeClTensorData(*m_BiasesTensor, m_Data.m_Bias->GetConstTensor<int32_t>()); - } - else - { - InitializeArmComputeClTensorDataForFloatTypes(*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("ClFullyConnectedWorkload_Execute"); - m_FullyConnectedLayer.run(); -} - -void ClFullyConnectedWorkload::FreeUnusedTensors() -{ - FreeTensorIfUnused(m_WeightsTensor); - FreeTensorIfUnused(m_BiasesTensor); -} - -} //namespace armnn |