place.h 3.1 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.

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. */

Y
Yi Wang 已提交
15
#pragma once
16

Y
Yi Wang 已提交
17
#include <iostream>
Y
Yu Yang 已提交
18

Y
Yu Yang 已提交
19
#include "paddle/platform/variant.h"
Y
Yi Wang 已提交
20

Y
Yi Wang 已提交
21 22
namespace paddle {
namespace platform {
Y
Yi Wang 已提交
23

24
struct CPUPlace {
Y
Yi Wang 已提交
25 26
  // WORKAROUND: for some reason, omitting this constructor
  // causes errors with boost 1.59 and OSX
27
  CPUPlace() {}
Y
Yi Wang 已提交
28

Y
Yi Wang 已提交
29
  // needed for variant equality comparison
30 31
  inline bool operator==(const CPUPlace &) const { return true; }
  inline bool operator!=(const CPUPlace &) const { return false; }
Y
Yi Wang 已提交
32 33
};

T
tensor-tang 已提交
34
struct MKLDNNPlace {
T
tensor-tang 已提交
35 36 37 38 39 40 41
  MKLDNNPlace() {}

  // needed for variant equality comparison
  inline bool operator==(const MKLDNNPlace &) const { return true; }
  inline bool operator!=(const MKLDNNPlace &) const { return false; }
};

42 43
struct GPUPlace {
  GPUPlace() : GPUPlace(0) {}
Y
Yi Wang 已提交
44
  explicit GPUPlace(int d) : device(d) {}
Y
Yi Wang 已提交
45

Y
Yu Yang 已提交
46
  inline int GetDeviceId() const { return device; }
Y
Yi Wang 已提交
47
  // needed for variant equality comparison
48 49
  inline bool operator==(const GPUPlace &o) const { return device == o.device; }
  inline bool operator!=(const GPUPlace &o) const { return !(*this == o); }
Y
Yi Wang 已提交
50 51 52 53

  int device;
};

D
dzhwinter 已提交
54 55 56 57 58
struct CudnnPlace : public GPUPlace {
  CudnnPlace() : GPUPlace() {}
  explicit CudnnPlace(int d) : GPUPlace(d) {}
};

59 60
struct IsGPUPlace : public boost::static_visitor<bool> {
  bool operator()(const CPUPlace &) const { return false; }
T
tensor-tang 已提交
61
  bool operator()(const MKLDNNPlace &) const { return false; }
62
  bool operator()(const GPUPlace &gpu) const { return true; }
Y
Yi Wang 已提交
63 64
};

T
tensor-tang 已提交
65 66 67 68 69 70
struct IsMKLDNNPlace : public boost::static_visitor<bool> {
  bool operator()(const MKLDNNPlace &) const { return true; }
  bool operator()(const CPUPlace &) const { return false; }
  bool operator()(const GPUPlace &) const { return false; }
};

Y
Yu Yang 已提交
71 72 73 74
// Define the max number of Place in bit length. i.e., the max number of places
// should be less equal than 2^(NUM_PLACE_TYPE_LIMIT_IN_BIT)
#define NUM_PLACE_TYPE_LIMIT_IN_BIT 4

T
tensor-tang 已提交
75
typedef boost::variant<CudnnPlace, GPUPlace, CPUPlace, MKLDNNPlace> Place;
Y
Yi Wang 已提交
76

Y
Yu Yang 已提交
77 78 79 80 81 82
// static check number of place types is less equal than
// 2^(NUM_PLACE_TYPE_LIMIT_IN_BIT)
BOOST_MPL_ASSERT((boost::mpl::less_equal<
                  Place::types::size,
                  boost::mpl::long_<1 << NUM_PLACE_TYPE_LIMIT_IN_BIT>>));

Y
Yi Wang 已提交
83 84
void set_place(const Place &);
const Place &get_place();
Y
Yi Wang 已提交
85

86 87
const GPUPlace default_gpu();
const CPUPlace default_cpu();
T
tensor-tang 已提交
88
const MKLDNNPlace default_mkldnn();
Y
Yi Wang 已提交
89

Y
Yi Wang 已提交
90 91
bool is_gpu_place(const Place &);
bool is_cpu_place(const Place &);
T
tensor-tang 已提交
92
bool is_mkldnn_place(const Place &);
Y
Yi Wang 已提交
93
bool places_are_same_class(const Place &, const Place &);
Y
Yi Wang 已提交
94

Y
Yi Wang 已提交
95
std::ostream &operator<<(std::ostream &, const Place &);
Y
Yi Wang 已提交
96

Y
Yi Wang 已提交
97 98
}  // namespace platform
}  // namespace paddle