tiny_dnn  1.0.0
A header only, dependency-free deep learning framework in C++11
fully_params.h
1 /*
2  Copyright (c) 2016, Taiga Nomi, Edgar Riba
3  All rights reserved.
4 
5  Redistribution and use in source and binary forms, with or without
6  modification, are permitted provided that the following conditions are met:
7  * Redistributions of source code must retain the above copyright
8  notice, this list of conditions and the following disclaimer.
9  * Redistributions in binary form must reproduce the above copyright
10  notice, this list of conditions and the following disclaimer in the
11  documentation and/or other materials provided with the distribution.
12  * Neither the name of the <organization> nor the
13  names of its contributors may be used to endorse or promote products
14  derived from this software without specific prior written permission.
15 
16  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
17  EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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21  (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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26 */
27 #pragma once
28 
29 #include "params.h"
30 
31 namespace tiny_dnn {
32 namespace core {
33 
34 class fully_params : public Params {
35  public:
36  serial_size_t in_size_;
37  serial_size_t out_size_;
38  bool has_bias_;
39 };
40 
41 // TODO(nyanp): can we do better here?
42 inline fully_params Params::fully() const {
43  return *(static_cast<const fully_params*>(this));
44 }
45 
46 } // namespace core
47 } // namespace tiny_dnn
Definition: params.h:37
Definition: fully_params.h:34