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
/*******************************************************************************
* Copyright 2017-2018 Intel 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 <functional>
#include <random>
#include "ngraph/type/element_type.hpp"
#include "test_tools.hpp"
namespace ngraph
{
namespace test
{
/// @brief A predictable pseudo-random number generator
/// The seed is initialized so that we get repeatable pseudo-random numbers for tests
template <typename T>
class Uniform
{
public:
Uniform(T min, T max, T seed = 0)
: m_engine(seed)
, m_distribution(min, max)
, m_r(std::bind(m_distribution, m_engine))
{
}
/// @brief Randomly initialize a tensor
/// @param ptv The tensor to initialize
const std::shared_ptr<runtime::TensorView>
initialize(const std::shared_ptr<runtime::TensorView>& ptv)
{
std::vector<T> vec = read_vector<T>(ptv);
initialize(vec);
write_vector(ptv, vec);
return ptv;
}
/// @brief Randomly initialize a vector
/// @param vec The tensor to initialize
void initialize(std::vector<T>& vec)
{
for (T& elt : vec)
{
elt = m_r();
}
}
protected:
std::default_random_engine m_engine;
std::uniform_real_distribution<T> m_distribution;
std::function<T()> m_r;
};
}
}