17 #include <arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h>
21 using namespace armcomputetensorutils;
31 const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input);
32 const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output);
33 arm_compute::TensorInfo aclWeights = BuildArmComputeTensorInfo(weights);
34 aclWeights.set_are_values_constant(weights.
IsConstant());
36 arm_compute::TensorInfo aclBiases;
37 arm_compute::TensorInfo* optionalAclBiases =
nullptr;
42 if (!biases.
value().IsConstant())
45 "Arm NN NeonFullyConnectedWorkload does not support non constant bias."};
47 aclBiases = BuildArmComputeTensorInfo(biases.
value());
48 aclBiases.set_are_values_constant(biases.
value().IsConstant());
49 optionalAclBiases = &aclBiases;
52 const arm_compute::FullyConnectedLayerInfo fullyConnectedLayerInfo =
54 return arm_compute::NEFullyConnectedLayer::validate(&aclInput,
58 fullyConnectedLayerInfo);
68 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
69 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
72 m_WeightsTensor = std::make_unique<arm_compute::Tensor>();
73 m_WeightsTensorInfo =
info.m_InputTensorInfos[1];
74 BuildArmComputeTensor(*m_WeightsTensor, m_WeightsTensorInfo);
79 m_BiasesTensor = std::make_unique<arm_compute::Tensor>();
80 m_BiasesTensorInfo =
info.m_InputTensorInfos[2];
81 BuildArmComputeTensor(*m_BiasesTensor, m_BiasesTensorInfo);
85 arm_compute::FullyConnectedLayerInfo fc_info =
88 auto layer = std::make_unique<arm_compute::NEFullyConnectedLayer>(memoryManager);
89 layer->configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, fc_info);
90 m_FullyConnectedLayer.reset(layer.release());
124 m_FullyConnectedLayer->prepare();
125 FreeTensorIfUnused(m_WeightsTensor);
126 FreeTensorIfUnused(m_BiasesTensor);
129 m_FullyConnectedLayer->run();