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- /*
- * MIT License
- *
- * Copyright (c) 2019 Alexey Edelev <semlanik@gmail.com>
- *
- * This file is part of NeuralNetwork project https://git.semlanik.org/semlanik/NeuralNetwork
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy of this
- * software and associated documentation files (the "Software"), to deal in the Software
- * without restriction, including without limitation the rights to use, copy, modify,
- * merge, publish, distribute, sublicense, and/or sell copies of the Software, and
- * to permit persons to whom the Software is furnished to do so, subject to the following
- * conditions:
- *
- * The above copyright notice and this permission notice shall be included in all copies
- * or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
- * INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
- * PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE
- * FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
- * OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
- * DEALINGS IN THE SOFTWARE.
- */
- #include "dense.h"
- #include <QtGlobal>
- //0 - 3 Version = 1 (uint32)
- //4 'G' (byte)
- //5 'F' (byte)
- //6 'A' (byte)
- //7 0 (byte)
- //8 - 15 number of rows (int64)
- //16 - 23 number of columns (int64)
- //24 - 31 0 (int64)
- //32 - 39 0 (int64)
- //40 - .. matrix data elements (float64)
- // [0,0] [0,1] ... [0,ncols-1]
- // [1,0] [1,1] ... [1,ncols-1]
- // ...
- // [nrows-1,0] ... [nrows-1,ncols-1]
- Dense::Dense(const QByteArray &data) : AbstractDense(*(int64_t *)(data.data() + 8), *(int64_t *)(data.data() + 16), data)
- {
- }
- double Dense::rawValue(int i) const
- {
- return *(double *)(m_data.data() + 40 + i * sizeof(double));
- }
- template<>
- template<>
- double AbstractDense<QByteArray>::value<double>(int row, int column) const
- {
- const char *dataPtr = m_data.data() + 40 + ((m_columns - 1) * row + column + row) * sizeof(double);
- return *(double *)dataPtr;
- }
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