tiny_dnn  1.0.0
A header only, dependency-free deep learning framework in C++11
program.h
1 /*
2  COPYRIGHT
3 
4  All contributions by Taiga Nomi
5  Copyright (c) 2013, Taiga Nomi
6  All rights reserved.
7 
8  All other contributions:
9  Copyright (c) 2013-2016, the respective contributors.
10  All rights reserved.
11 
12  Each contributor holds copyright over their respective contributions.
13  The project versioning (Git) records all such contribution source information.
14 
15  LICENSE
16 
17  The BSD 3-Clause License
18 
19 
20  Redistribution and use in source and binary forms, with or without
21  modification, are permitted provided that the following conditions are met:
22 
23  * Redistributions of source code must retain the above copyright notice, this
24  list of conditions and the following disclaimer.
25 
26  * Redistributions in binary form must reproduce the above copyright notice,
27  this list of conditions and the following disclaimer in the documentation
28  and/or other materials provided with the distribution.
29 
30  * Neither the name of tiny-dnn nor the names of its
31  contributors may be used to endorse or promote products derived from
32  this software without specific prior written permission.
33 
34  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
35  AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
36  IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
37  DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
38  FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
39  DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
40  SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
41  CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
42  OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
43  OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
44 */
45 #pragma once
46 
47 #include "tiny_dnn/layers/layer.h"
48 #include "tiny_dnn/core/framework/device.fwd.h"
49 
50 #if defined(USE_OPENCL) || defined(USE_CUDA)
51 #ifdef USE_OPENCL
52 #include "third_party/CLCudaAPI/clpp11.h"
53 #else
54 #include "third_party/CLCudaAPI/cupp11.h"
55 #endif
56 #endif
57 
58 namespace tiny_dnn {
59 
60 /* The class models a program to be stored in the register.
61  * Each instance of this class will be used as key in the register.
62  */
63 class Program {
64  public:
65  explicit Program(const Device* device, const layer* op)
66  : device_(device), op_(op) {}
67 
68  // Returns the device associated to the program
69  const Device* device() const { return device_; }
70 
71  // Return the layer pointer
72  const layer* op() const { return op_; }
73 
74  bool operator==(const Program& p) const {
75  if (p.device() == this->device() &&
76  p.op()->layer_type() == this->op()->layer_type()) {
77  return true;
78  }
79  return false;
80  }
81 
82  private:
83  const Device* device_;
84  const layer* op_;
85 };
86 
87 /* Hash function to store Programs in the register.
88  */
89 class ProgramHash {
90  public:
91  size_t operator()(const Program& p) const {
92  // check there is a device and an op assigned
93  // to the input program.
94  if (p.device() == nullptr || p.op() == nullptr) {
95  throw nn_error("No Op or Device in Program.");
96  }
97 
98  // Compute individual hash values for data members and combine
99  // them using XOR and bit shifting.
100  return (std::hash<int>()(static_cast<int>(p.device()->type())) ^
101  std::hash<bool>()(p.device()->hasCLCudaAPI()) ^
102  std::hash<int>()(p.device()->platformId()) ^
103  std::hash<int>()(p.device()->deviceId()) ^
104  std::hash<std::string>()(p.op()->layer_type()));
105  }
106 };
107 
108 } // namespace tiny_dnn
Definition: device.fwd.h:73
Definition: program.h:89
Definition: program.h:63
base class of all kind of NN layers
Definition: layer.h:62
virtual std::string layer_type() const =0
name of layer, should be unique for each concrete class
error exception class for tiny-dnn
Definition: nn_error.h:37