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
70
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "ClConvolution2dFloat32Workload.hpp"
#include "backends/ClTensorHandle.hpp"
#include "backends/CpuTensorHandle.hpp"
#include "backends/ArmComputeTensorUtils.hpp"
#include "backends/ClLayerSupport.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
ClConvolution2dFloat32Workload::ClConvolution2dFloat32Workload(const Convolution2dQueueDescriptor& descriptor,
const WorkloadInfo& info)
: Float32Workload<Convolution2dQueueDescriptor>(descriptor, info)
{
// todo: check tensor shapes match
const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
BuildArmComputeTensor(m_KernelTensor, weightInfo);
arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX,
m_Data.m_Parameters.m_StrideY,
m_Data.m_Parameters.m_PadLeft,
m_Data.m_Parameters.m_PadRight,
m_Data.m_Parameters.m_PadTop,
m_Data.m_Parameters.m_PadBottom,
arm_compute::DimensionRoundingType::FLOOR);
arm_compute::CLTensor* optionalBias = nullptr;
if (m_Data.m_Parameters.m_BiasEnabled)
{
BuildArmComputeTensor(m_BiasTensor, m_Data.m_Bias->GetTensorInfo());
optionalBias = &m_BiasTensor;
}
m_Data.ValidateInputsOutputs("ClConvolution2dFloat32Workload", 1, 1);
arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
m_pConvolutionLayer = std::make_unique<arm_compute::CLConvolutionLayer>();
static_cast<arm_compute::CLConvolutionLayer*>(m_pConvolutionLayer.get())->configure(&input,
&m_KernelTensor,
optionalBias,
&output,
padStrideInfo);
BOOST_ASSERT(m_pConvolutionLayer);
InitialiseArmComputeClTensorData(m_KernelTensor, m_Data.m_Weight->GetConstTensor<float>());
if (optionalBias)
{
InitialiseArmComputeClTensorData(*optionalBias, m_Data.m_Bias->GetConstTensor<float>());
}
}
void ClConvolution2dFloat32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, "ClConvolution2dFloat32Workload_Execute");
BOOST_ASSERT(m_pConvolutionLayer);
m_pConvolutionLayer->run();
}
} //namespace armnn
|
