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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "FullyConnectedLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backendsCommon/CpuTensorHandle.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
namespace armnn
{
FullyConnectedLayer::FullyConnectedLayer(const FullyConnectedDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::FullyConnected, param, name)
{
}
std::unique_ptr<IWorkload> FullyConnectedLayer::CreateWorkload(const Graph& graph,
const IWorkloadFactory& factory) const
{
// on this level constant data should not be released..
BOOST_ASSERT_MSG(m_Weight != nullptr, "FullyConnectedLayer: Weights data should not be null.");
FullyConnectedQueueDescriptor descriptor;
descriptor.m_Weight = m_Weight.get();
if (m_Param.m_BiasEnabled)
{
BOOST_ASSERT_MSG(m_Bias != nullptr, "FullyConnectedLayer: Bias data should not be null.");
descriptor.m_Bias = m_Bias.get();
}
return factory.CreateFullyConnected(descriptor, PrepInfoAndDesc(descriptor, graph));
}
FullyConnectedLayer* FullyConnectedLayer::Clone(Graph& graph) const
{
auto layer = CloneBase<FullyConnectedLayer>(graph, m_Param, GetName());
layer->m_Weight = m_Weight ? std::make_unique<ScopedCpuTensorHandle>(*m_Weight) : nullptr;
if (layer->m_Param.m_BiasEnabled)
{
layer->m_Bias = m_Bias ? std::make_unique<ScopedCpuTensorHandle>(*m_Bias) : nullptr;
}
return std::move(layer);
}
std::vector<TensorShape> FullyConnectedLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
BOOST_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()
{
VerifyLayerConnections(1, CHECK_LOCATION());
// check if we m_Weight data is not nullptr
BOOST_ASSERT_MSG(m_Weight != nullptr, "FullyConnectedLayer: Weights data should not be null.");
auto inferredShapes = InferOutputShapes({
GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
m_Weight->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"FullyConnectedLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
Layer::ConstantTensors FullyConnectedLayer::GetConstantTensorsByRef()
{
return {m_Weight, m_Bias};
}
} // namespace armnn
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