| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "FullyConnectedLayer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <backendsCommon/TensorHandle.hpp> |
| #include <backendsCommon/WorkloadData.hpp> |
| #include <backendsCommon/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| FullyConnectedLayer::FullyConnectedLayer(const FullyConnectedDescriptor& param, const char* name) |
| : LayerWithParameters(param.GetNumInputs(), 1, LayerType::FullyConnected, param, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> FullyConnectedLayer::CreateWorkload(const IWorkloadFactory& factory) const |
| { |
| FullyConnectedQueueDescriptor descriptor; |
| if (m_Weight) |
| { |
| descriptor.m_Weight = m_Weight.get(); |
| } |
| if (m_Param.m_BiasEnabled && m_Bias) |
| { |
| descriptor.m_Bias = m_Bias.get(); |
| } |
| SetAdditionalInfo(descriptor); |
| |
| return factory.CreateFullyConnected(descriptor, PrepInfoAndDesc(descriptor)); |
| } |
| |
| FullyConnectedLayer* FullyConnectedLayer::Clone(Graph& graph) const |
| { |
| auto layer = CloneBase<FullyConnectedLayer>(graph, m_Param, GetName()); |
| return std::move(layer); |
| } |
| |
| std::vector<TensorShape> FullyConnectedLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const |
| { |
| ARMNN_ASSERT(inputShapes.size() == 2); |
| const TensorShape& inputShape = inputShapes[0]; |
| const TensorShape weightShape = inputShapes[1]; |
| |
| // Output for FC is [1, w[1]]. |
| unsigned int batches = inputShape[0]; |
| unsigned int dimIdx = m_Param.m_TransposeWeightMatrix ? 0 : 1; |
| |
| return std::vector<TensorShape>({ TensorShape({batches, weightShape[dimIdx]})}); |
| } |
| |
| void FullyConnectedLayer::ValidateTensorShapesFromInputs() |
| { |
| const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); |
| |
| VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); |
| |
| std::vector<TensorShape> inferredShapes = InferOutputShapes( |
| {GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(), |
| GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()}); |
| |
| ARMNN_ASSERT(inferredShapes.size() == 1); |
| ARMNN_ASSERT(inferredShapes[0].GetDimensionality() == Dimensionality::Specified); |
| |
| ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "FullyConnectedLayer"); |
| } |
| |
| Layer::ConstantTensors FullyConnectedLayer::GetConstantTensorsByRef() |
| { |
| return {m_Weight, m_Bias}; |
| } |
| |
| void FullyConnectedLayer::Accept(ILayerVisitor& visitor) const |
| { |
| visitor.VisitFullyConnectedLayer(this, GetParameters(), GetName()); |
| } |
| |
| void FullyConnectedLayer::ExecuteStrategy(IStrategy& strategy) const |
| { |
| strategy.ExecuteStrategy(this, GetParameters(), {}, GetName()); |
| } |
| |
| } // namespace armnn |