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
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
|
/*
* Copyright 2008-2021 NVIDIA Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include <thrust/detail/config.h>
#include <thrust/random/uniform_real_distribution.h>
THRUST_NAMESPACE_BEGIN
namespace random
{
template<typename RealType>
__host__ __device__
uniform_real_distribution<RealType>
::uniform_real_distribution(RealType a, RealType b)
:m_param(a,b)
{
} // end uniform_real_distribution::uniform_real_distribution()
template<typename RealType>
__host__ __device__
uniform_real_distribution<RealType>
::uniform_real_distribution(const param_type &parm)
:m_param(parm)
{
} // end uniform_real_distribution::uniform_real_distribution()
template<typename RealType>
__host__ __device__
void uniform_real_distribution<RealType>
::reset(void)
{
} // end uniform_real_distribution::reset()
template<typename RealType>
template<typename UniformRandomNumberGenerator>
__host__ __device__
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::operator()(UniformRandomNumberGenerator &urng)
{
return operator()(urng, m_param);
} // end uniform_real::operator()()
template<typename RealType>
template<typename UniformRandomNumberGenerator>
__host__ __device__
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::operator()(UniformRandomNumberGenerator &urng,
const param_type &parm)
{
// call the urng & map its result to [0,1)
result_type result = static_cast<result_type>(urng() - UniformRandomNumberGenerator::min);
// adding one to the denominator ensures that the interval is half-open at 1.0
// XXX adding 1.0 to a potentially large floating point number seems like a bad idea
// XXX OTOH adding 1 to what is potentially UINT_MAX also seems like a bad idea
// XXX we could statically check if 1u + (max - min) is representable and do that, otherwise use the current implementation
result /= (result_type(1) + static_cast<result_type>(UniformRandomNumberGenerator::max - UniformRandomNumberGenerator::min));
return (result * (parm.second - parm.first)) + parm.first;
} // end uniform_real::operator()()
template<typename RealType>
__host__ __device__
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::a(void) const
{
return m_param.first;
} // end uniform_real::a()
template<typename RealType>
__host__ __device__
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::b(void) const
{
return m_param.second;
} // end uniform_real_distribution::b()
template<typename RealType>
__host__ __device__
typename uniform_real_distribution<RealType>::param_type
uniform_real_distribution<RealType>
::param(void) const
{
return m_param;;
} // end uniform_real_distribution::param()
template<typename RealType>
__host__ __device__
void uniform_real_distribution<RealType>
::param(const param_type &parm)
{
m_param = parm;
} // end uniform_real_distribution::param()
template<typename RealType>
__host__ __device__
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::min THRUST_PREVENT_MACRO_SUBSTITUTION (void) const
{
return a();
} // end uniform_real_distribution::min()
template<typename RealType>
__host__ __device__
typename uniform_real_distribution<RealType>::result_type
uniform_real_distribution<RealType>
::max THRUST_PREVENT_MACRO_SUBSTITUTION (void) const
{
return b();
} // end uniform_real_distribution::max()
template<typename RealType>
__host__ __device__
bool uniform_real_distribution<RealType>
::equal(const uniform_real_distribution &rhs) const
{
return m_param == rhs.param();
}
template<typename RealType>
template<typename CharT, typename Traits>
std::basic_ostream<CharT,Traits>&
uniform_real_distribution<RealType>
::stream_out(std::basic_ostream<CharT,Traits> &os) const
{
typedef std::basic_ostream<CharT,Traits> ostream_type;
typedef typename ostream_type::ios_base ios_base;
// save old flags and fill character
const typename ios_base::fmtflags flags = os.flags();
const CharT fill = os.fill();
const CharT space = os.widen(' ');
os.flags(ios_base::dec | ios_base::fixed | ios_base::left);
os.fill(space);
os << a() << space << b();
// restore old flags and fill character
os.flags(flags);
os.fill(fill);
return os;
}
template<typename RealType>
template<typename CharT, typename Traits>
std::basic_istream<CharT,Traits>&
uniform_real_distribution<RealType>
::stream_in(std::basic_istream<CharT,Traits> &is)
{
typedef std::basic_istream<CharT,Traits> istream_type;
typedef typename istream_type::ios_base ios_base;
// save old flags
const typename ios_base::fmtflags flags = is.flags();
is.flags(ios_base::skipws);
is >> m_param.first >> m_param.second;
// restore old flags
is.flags(flags);
return is;
}
template<typename RealType>
__host__ __device__
bool operator==(const uniform_real_distribution<RealType> &lhs,
const uniform_real_distribution<RealType> &rhs)
{
return thrust::random::detail::random_core_access::equal(lhs,rhs);
}
template<typename RealType>
__host__ __device__
bool operator!=(const uniform_real_distribution<RealType> &lhs,
const uniform_real_distribution<RealType> &rhs)
{
return !(lhs == rhs);
}
template<typename RealType,
typename CharT, typename Traits>
std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits> &os,
const uniform_real_distribution<RealType> &d)
{
return thrust::random::detail::random_core_access::stream_out(os,d);
}
template<typename RealType,
typename CharT, typename Traits>
std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits> &is,
uniform_real_distribution<RealType> &d)
{
return thrust::random::detail::random_core_access::stream_in(is,d);
}
} // end random
THRUST_NAMESPACE_END
|
