1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "FullyConnectedLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backends/CpuTensorHandle.hpp>
#include <backends/WorkloadData.hpp>
#include <backends/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
{
FullyConnectedQueueDescriptor descriptor;
descriptor.m_Weight = m_Weight.get();
if (m_Param.m_BiasEnabled)
{
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);
}
void FullyConnectedLayer::ValidateTensorShapesFromInputs()
{
ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
"FullyConnectedLayer: InputSlot must be connected to an OutputSlot");
ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(),
"FullyConnectedLayer: TensorInfo must be set on connected OutputSlot.");
TensorShape const& weightShape = m_Weight->GetTensorInfo().GetShape();
// output for FC is [1, w[1]]
unsigned int batches = GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape()[0];
unsigned int dimIdx = m_Param.m_TransposeWeightMatrix ? 0 : 1;
TensorShape outShape({batches, weightShape[dimIdx]});
ConditionalThrowIfNotEqual<LayerValidationException>(
"FullyConnectedLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
outShape);
}
} // namespace armnn
|