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matrix.h
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matrix.h
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/******************************************************************************
* Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/
#ifndef __MATRIX__
#define __MATRIX__
class Matrix {
private:
float* m_data;
bool m_isTransposed;
int m_rows;
int m_cols;
public:
Matrix(int rows, int cols, bool isTransposed=false);
void randomize(float mean, float scale, int sparsity = 0);
int index(int row, int col);
void set(int row, int col, float val);
float get(int row, int col);
int rows();
int cols();
void print(const char* name);
float* data();
};
void matrix_multiply(Matrix& C, Matrix& A, Matrix& B);
void matrix_add(Matrix& C, Matrix& A, Matrix& B);
void matrix_bias(Matrix& C, Matrix&A, Matrix& B);
void matrix_compare(const char* name, Matrix& A, Matrix& B, float max_error=1.e-6, bool relu=false);
void matrix_relu(Matrix& dst, Matrix& src);
void matrix_softmax(Matrix& dst, Matrix& src);
#endif