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
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefFullyConnectedWorkload.hpp"
#include "FullyConnected.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
namespace armnn
{
RefFullyConnectedWorkload::RefFullyConnectedWorkload(
const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info),
m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight)))
{
const TensorInfo& rWeightInfo = GetTensorInfo(m_Weight.get());
m_WeightShape = rWeightInfo.GetShape();
m_WeightDecoder = MakeDecoder<float>(rWeightInfo, m_Weight->Map(true));
if (descriptor.m_Parameters.m_BiasEnabled)
{
m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
const TensorInfo& biasInfo = GetTensorInfo(m_Bias.get());
m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
}
}
void RefFullyConnectedWorkload::PostAllocationConfigure()
{
const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
BOOST_ASSERT(inputInfo.GetNumDimensions() > 1);
m_InputShape = inputInfo.GetShape();
m_InputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
m_OutputShape = outputInfo.GetShape();
m_OutputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
m_NumActivations = 1; // Total number of activations in the input.
for (unsigned int i = 1; i < inputInfo.GetNumDimensions(); i++)
{
m_NumActivations *= inputInfo.GetShape()[i];
}
}
void RefFullyConnectedWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedWorkload_Execute");
FullyConnected(m_InputShape,
*m_InputDecoder,
m_OutputShape,
*m_OutputEncoder,
*m_WeightDecoder,
*m_BiasDecoder,
m_Data.m_Parameters.m_BiasEnabled,
m_NumActivations,
m_Data.m_Parameters.m_TransposeWeightMatrix);
}
} //namespace armnn
|
