summaryrefslogtreecommitdiffstats
path: root/src/CudaDataOperationAlgorithm.cpp
blob: 31c4b150828d5066efd4214e82335e4edfabb2fe (plain)
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
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
/*
-----------------------------------------------------------------------
Copyright: 2010-2021, imec Vision Lab, University of Antwerp
           2014-2021, CWI, Amsterdam

Contact: astra@astra-toolbox.com
Website: http://www.astra-toolbox.com/

This file is part of the ASTRA Toolbox.


The ASTRA Toolbox is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

The ASTRA Toolbox is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>.

-----------------------------------------------------------------------
*/

#ifdef ASTRA_CUDA

#include "astra/CudaDataOperationAlgorithm.h"

#include "astra/cuda/2d/algo.h"
#include "astra/cuda/2d/darthelper.h"
#include "astra/cuda/2d/astra.h"
#include "astra/cuda/2d/arith.h"

#include "astra/AstraObjectManager.h"

using namespace std;

namespace astra {

// type of the algorithm, needed to register with CAlgorithmFactory
std::string CCudaDataOperationAlgorithm::type = "DataOperation_CUDA";

//----------------------------------------------------------------------------------------
// Constructor
CCudaDataOperationAlgorithm::CCudaDataOperationAlgorithm() 
{
	m_pMask = NULL;
	m_bIsInitialized = false;
}

//----------------------------------------------------------------------------------------
// Destructor
CCudaDataOperationAlgorithm::~CCudaDataOperationAlgorithm() 
{

}

//---------------------------------------------------------------------------------------
// Initialize - Config
bool CCudaDataOperationAlgorithm::initialize(const Config& _cfg)
{
	ASTRA_ASSERT(_cfg.self);
	ConfigStackCheck<CAlgorithm> CC("CCudaDataOperationAlgorithm", this, _cfg);

	// operation
	XMLNode node = _cfg.self.getSingleNode("Operation");
	ASTRA_CONFIG_CHECK(node, "CCudaDataOperationAlgorithm", "No Operation tag specified.");
	m_sOperation = node.getContent();
	m_sOperation.erase(std::remove(m_sOperation.begin(), m_sOperation.end(), ' '), m_sOperation.end());
	CC.markNodeParsed("Operation");

	// data
	node = _cfg.self.getSingleNode("DataId");
	ASTRA_CONFIG_CHECK(node, "CCudaDataOperationAlgorithm", "No DataId tag specified.");
	vector<string> data = node.getContentArray();
	for (vector<string>::iterator it = data.begin(); it != data.end(); ++it){
		int id = StringUtil::stringToInt(*it);
		m_pData.push_back(dynamic_cast<CFloat32Data2D*>(CData2DManager::getSingleton().get(id)));
	}
	CC.markNodeParsed("DataId");

	// scalar
	node = _cfg.self.getSingleNode("Scalar");
	ASTRA_CONFIG_CHECK(node, "CCudaDataOperationAlgorithm", "No Scalar tag specified.");
	m_fScalar = node.getContentNumericalArray();
	CC.markNodeParsed("Scalar");

	// Option: GPU number
	m_iGPUIndex = (int)_cfg.self.getOptionNumerical("GPUindex", -1);
	m_iGPUIndex = (int)_cfg.self.getOptionNumerical("GPUIndex", m_iGPUIndex);
	CC.markOptionParsed("GPUindex");
	if (!_cfg.self.hasOption("GPUindex"))
		CC.markOptionParsed("GPUIndex");

	if (_cfg.self.hasOption("MaskId")) {
		int id = _cfg.self.getOptionInt("MaskId");
		m_pMask = dynamic_cast<CFloat32Data2D*>(CData2DManager::getSingleton().get(id));
	}
	CC.markOptionParsed("MaskId");

	_check();

	if (!m_bIsInitialized)
		return false;

	return true;
}

//---------------------------------------------------------------------------------------
// Initialize - C++
//bool CCudaDartMaskAlgorithm::initialize(CFloat32VolumeData2D* _pSegmentation, int _iConn)
//{
//	return false;
//}

//----------------------------------------------------------------------------------------
// Iterate
void CCudaDataOperationAlgorithm::run(int _iNrIterations)
{
	// check initialized
	ASTRA_ASSERT(m_bIsInitialized);

	astraCUDA::setGPUIndex(m_iGPUIndex);

	astraCUDA::SDimensions dims;
	// We slightly abuse dims here: width/height is not necessarily a volume
	dims.iVolWidth = m_pData[0]->getWidth();
	dims.iVolHeight = m_pData[0]->getHeight();

	if (m_sOperation == "$1*s1" || m_sOperation == "$1.*s1") // data * scalar
	{
		if (m_pMask == NULL)
			astraCUDA::processVolCopy<astraCUDA::opMul>(m_pData[0]->getData(), m_fScalar[0], dims);
		else
			astraCUDA::processVolCopy<astraCUDA::opMulMask>(m_pData[0]->getData(), m_pMask->getDataConst(), m_fScalar[0], dims);
	}
	else if (m_sOperation == "$1/s1" || m_sOperation == "$1./s1") // data / scalar
	{
		if (m_pMask == NULL)
			astraCUDA::processVolCopy<astraCUDA::opMul>(m_pData[0]->getData(), 1.0f/m_fScalar[0], dims);
		else
			astraCUDA::processVolCopy<astraCUDA::opMulMask>(m_pData[0]->getData(), m_pMask->getDataConst(), 1.0f/m_fScalar[0], dims);
	}
	else if (m_sOperation == "$1+s1") // data + scalar
	{
		astraCUDA::processVolCopy<astraCUDA::opAdd>(m_pData[0]->getData(), m_fScalar[0], dims);
	}
	else if (m_sOperation == "$1-s1") // data - scalar
	{
		astraCUDA::processVolCopy<astraCUDA::opAdd>(m_pData[0]->getData(), -m_fScalar[0], dims);
	} 
	else if (m_sOperation == "$1.*$2") // data .* data
	{
		astraCUDA::processVolCopy<astraCUDA::opMul>(m_pData[0]->getData(), m_pData[1]->getDataConst(), dims);
	}
	else if (m_sOperation == "$1+$2") // data + data
	{
		astraCUDA::processVolCopy<astraCUDA::opAdd>(m_pData[0]->getData(), m_pData[1]->getDataConst(), dims);
	}

}

//----------------------------------------------------------------------------------------
// Check
bool CCudaDataOperationAlgorithm::_check() 
{
	// s*: 1 data + 1 scalar

	// success
	m_bIsInitialized = true;
	return true;
}

//---------------------------------------------------------------------------------------
// Information - All
map<string,boost::any> CCudaDataOperationAlgorithm::getInformation()
{
	map<string,boost::any> res;
	// TODO: add PDART-specific options
	return mergeMap<string,boost::any>(CAlgorithm::getInformation(), res);
}

//---------------------------------------------------------------------------------------
// Information - Specific
boost::any CCudaDataOperationAlgorithm::getInformation(std::string _sIdentifier)
{
	return NULL;
}


} // namespace astra

#endif // ASTRA_CUDA