PLearn 0.1
|
00001 // -*- C++ -*- 00002 00003 // PLearn (A C++ Machine Learning Library) 00004 // Copyright (C) 2003 Olivier Delalleau 00005 // 00006 // Redistribution and use in source and binary forms, with or without 00007 // modification, are permitted provided that the following conditions are met: 00008 // 00009 // 1. Redistributions of source code must retain the above copyright 00010 // notice, this list of conditions and the following disclaimer. 00011 // 00012 // 2. Redistributions in binary form must reproduce the above copyright 00013 // notice, this list of conditions and the following disclaimer in the 00014 // documentation and/or other materials provided with the distribution. 00015 // 00016 // 3. The name of the authors may not be used to endorse or promote 00017 // products derived from this software without specific prior written 00018 // permission. 00019 // 00020 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00021 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00022 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00023 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00024 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00025 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00026 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00027 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00028 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00029 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00030 // 00031 // This file is part of the PLearn library. For more information on the PLearn 00032 // library, go to the PLearn Web site at www.plearn.org 00033 00034 00035 /* ******************************************************* 00036 * $Id: BatchVMatrix.cc 5176 2006-03-13 22:40:51Z lamblin $ 00037 ******************************************************* */ 00038 00039 #include "BatchVMatrix.h" 00040 00041 namespace PLearn { 00042 using namespace std; 00043 00044 PLEARN_IMPLEMENT_OBJECT( 00045 BatchVMatrix, 00046 "Replicates small parts of a matrix into mini-batches", 00047 "VMat class that replicates small parts of a matrix (mini-batches), \n" 00048 "so that each mini-batch appears twice (consecutively)."); 00049 00050 BatchVMatrix::BatchVMatrix() 00051 : batch_size(0), 00052 last_batch(-1), 00053 last_batch_size(-1) 00054 { } 00055 00056 00058 // declareOptions // 00060 void BatchVMatrix::declareOptions(OptionList& ol) 00061 { 00062 declareOption(ol, "m", &BatchVMatrix::m, OptionBase::buildoption, 00063 "The matrix viewed by the BatchVMatrix\n"); 00064 declareOption(ol, "batch_size", &BatchVMatrix::batch_size, OptionBase::buildoption, 00065 "The size of each mini-batch\n"); 00066 inherited::declareOptions(ol); 00067 } 00068 00070 // makeDeepCopyFromShallowCopy // 00072 void BatchVMatrix::makeDeepCopyFromShallowCopy(CopiesMap& copies) 00073 { 00074 inherited::makeDeepCopyFromShallowCopy(copies); 00075 deepCopyField(m, copies); 00076 } 00077 00079 // build // 00081 void BatchVMatrix::build() 00082 { 00083 inherited::build(); 00084 build_(); 00085 } 00086 00088 // build_ // 00090 void BatchVMatrix::build_() 00091 { 00092 if (m) { 00093 if (batch_size < 1) 00094 PLERROR("BatchVMatrix::build_: the 'batch_size' option must be nonnegative"); 00095 00096 width_ = m->width(); 00097 length_ = m->length() * 2; 00098 fieldinfos = m->getFieldInfos(); 00099 last_batch = (m->length()-1) / batch_size; 00100 last_batch_size = m->length() % batch_size; 00101 if (last_batch_size == 0) 00102 last_batch_size = batch_size; 00103 } 00104 } 00105 00107 // get // 00109 real BatchVMatrix::get(int i, int j) const { 00110 int n_batch = i / (2 * batch_size); 00111 int k = batch_size; 00112 if (n_batch == last_batch) { 00113 // This is the last batch 00114 k = last_batch_size; 00115 } 00116 int i_ = n_batch * batch_size + (i - n_batch * 2 * batch_size) % k; 00117 return m->get(i_, j); 00118 } 00119 00121 // put // 00123 void BatchVMatrix::put(int i, int j, real value) { 00124 int n_batch = i / (2 * batch_size); 00125 int i_ = n_batch * batch_size + (i - n_batch * 2 * batch_size) % batch_size; 00126 m->put(i_, j, value); 00127 } 00128 00129 } // end of namespace PLearn 00130 00131 00132 /* 00133 Local Variables: 00134 mode:c++ 00135 c-basic-offset:4 00136 c-file-style:"stroustrup" 00137 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00138 indent-tabs-mode:nil 00139 fill-column:79 00140 End: 00141 */ 00142 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :