/external/eigen/test/ |
jacobi.cpp | 19 Index cols = m.cols(); local 28 const MatrixType a(MatrixType::Random(rows, cols)); 48 Index p = internal::random<Index>(0, cols-1); 51 q = internal::random<Index>(0, cols-1);
|
triangular.cpp | 23 typename MatrixType::Index cols = m.cols(); local 25 MatrixType m1 = MatrixType::Random(rows, cols), 26 m2 = MatrixType::Random(rows, cols), 27 m3(rows, cols), 28 m4(rows, cols), 29 r1(rows, cols), 30 r2(rows, cols); 36 if (rows*cols>1) 66 m1 = MatrixType::Random(rows, cols); 143 Index cols = m.cols(); local [all...] |
eigensolver_generalized_real.cpp | 23 Index cols = m.cols(); local 29 MatrixType a = MatrixType::Random(rows,cols); 30 MatrixType b = MatrixType::Random(rows,cols); 31 MatrixType a1 = MatrixType::Random(rows,cols); 32 MatrixType b1 = MatrixType::Random(rows,cols); 60 for(Index k=0; k<cols; ++k)
|
sparse_block.cpp | 29 const Index cols = ref.cols(); local 36 double density = (std::max)(8./(rows*cols), 0.01); 44 SparseMatrixType m(rows, cols); 45 DenseMatrix refMat = DenseMatrix::Zero(rows, cols); 53 Index j = internal::random<Index>(0,cols-2); 55 Index w = internal::random<Index>(1,cols-j); 108 for(Index c=0; c<cols; c++) 123 DenseMatrix refMat2 = DenseMatrix::Zero(rows, cols); 124 SparseMatrixType m2(rows, cols); [all...] |
lu.cpp | 26 Index rows, cols, cols2; local 37 cols = internal::random<Index>(2,EIGEN_TEST_MAX_SIZE); 42 cols2 = cols = MatrixType::ColsAtCompileTime; 56 Index rank = internal::random<Index>(1, (std::min)(rows, cols)-1); 59 VERIFY((MatrixType::Zero(rows,cols).fullPivLu().image(MatrixType::Zero(rows,cols)).cols() == 1)); 61 MatrixType m1(rows, cols), m3(rows, cols2); 62 CMatrixType m2(cols, cols2); 63 createRandomPIMatrixOfRank(rank, rows, cols, m1) [all...] |
eigensolver_complex.cpp | 19 if(match || col==diffs.cols()) 25 Index n = diffs.cols(); 60 VERIFY(vec1.cols() == 1); 61 VERIFY(vec2.cols() == 1); 79 Index cols = m.cols(); local 84 MatrixType a = MatrixType::Random(rows,cols); 114 MatrixType z = MatrixType::Zero(rows,cols); 118 MatrixType id = MatrixType::Identity(rows, cols); 151 MatrixType a = MatrixType::Random(m.rows(),m.cols()); [all...] |
householder.cpp | 22 Index cols = m.cols(); local 34 Matrix<Scalar, EIGEN_SIZE_MAX(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime), 1> _tmp((std::max)(rows,cols)); 52 MatrixType m1(rows, cols), 53 m2(rows, cols); 62 if(rows>=2) VERIFY_IS_MUCH_SMALLER_THAN(m1.block(1,0,rows-1,cols).norm(), m1.norm()); 82 m1.setRandom(rows, cols); 83 HBlockMatrixType hbm = m1.block(shift,0,brows,cols); 86 m2.block(shift,0,brows,cols) = qr.matrixQR(); 94 m5.block(shift,0,brows,cols).template triangularView<StrictlyLower>().setZero() [all...] |
vectorwiseop.cpp | 24 Index cols = m.cols(); local 26 c = internal::random<Index>(0, cols-1); 28 ArrayType m1 = ArrayType::Random(rows, cols), 29 m2(rows, cols), 30 m3(rows, cols); 33 RowVectorType rowvec = RowVectorType::Random(cols); 118 Array<bool,Dynamic,Dynamic> mb(rows,cols); 141 Index cols = m.cols(); local [all...] |
/external/gemmlowp/doc/ |
quantization_example.cc | 30 for (int j = 0; j < m.cols(); j++) { 47 for (int j = 0; j < m.cols(); j++) { 120 assert(lhs.cols() == rhs.rows()); 122 assert(rhs.cols() == result->cols()); 124 for (int k = 0; k < rhs.cols(); k++) { 126 for (int j = 0; j < lhs.cols(); j++) { 156 MatrixWithStorage(int rows, int cols) 157 : storage(rows * cols), matrix_map(storage.data(), rows, cols) {} [all...] |
/external/libvpx/libvpx/vp9/common/ |
vp9_debugmodes.c | 30 int cols = cm->mi_cols; local 36 for (mi_col = 0; mi_col < cols; mi_col++) { 52 int cols = cm->mi_cols; local 64 for (mi_col = 0; mi_col < cols; mi_col++) { 78 for (mi_col = 0; mi_col < cols; mi_col++) {
|
/external/mesa3d/src/gallium/auxiliary/util/ |
u_linear.c | 42 size_t bytes = t->cols * t->block.size; 66 size_t bytes = t->cols * t->block.size; 93 t->cols = t->tile.width / t->block.width; 95 t->tile.size = t->cols * t->rows * t->block.size; 99 t->stride = t->cols * t->tiles_x * t->block.size;
|
/external/opencv/cv/src/ |
cvadapthresh.cpp | 53 int i, j, rows, cols; local 67 cols = src->cols; 72 CV_CALL( mean = cvCreateMat( rows, cols, CV_8UC1 )); 92 for( j = 0; j < cols; j++ )
|
cvtemplmatch.cpp | 103 if( img->cols < templ->cols || img->rows < templ->rows ) 108 corr->cols > img->cols + templ->cols - 1 ) 112 blocksize.width = cvRound(templ->cols*block_scale); 113 blocksize.width = MAX( blocksize.width, min_block_size - templ->cols + 1 ); 114 blocksize.width = MIN( blocksize.width, corr->cols ); 119 dftsize.width = cvGetOptimalDFTSize(blocksize.width + templ->cols - 1); 127 blocksize.width = dftsize.width - templ->cols + 1 [all...] |
/external/eigen/Eigen/src/Core/ |
DenseStorage.h | 203 EIGEN_DEVICE_FUNC DenseStorage(Index size, Index rows, Index cols) { 205 eigen_internal_assert(size==rows*cols && rows==_Rows && cols==_Cols); 208 EIGEN_UNUSED_VARIABLE(cols); 212 EIGEN_DEVICE_FUNC static Index cols(void) {return _Cols;} function in class:Eigen::DenseStorage 230 EIGEN_DEVICE_FUNC static Index cols(void) {return _Cols;} function in class:Eigen::DenseStorage 268 EIGEN_DEVICE_FUNC DenseStorage(Index, Index rows, Index cols) : m_rows(rows), m_cols(cols) {} 272 EIGEN_DEVICE_FUNC Index cols() const {return m_cols;} function in class:Eigen::DenseStorage 273 EIGEN_DEVICE_FUNC void conservativeResize(Index, Index rows, Index cols) { m_rows = rows; m_cols = cols; 301 EIGEN_DEVICE_FUNC Index cols(void) const {return _Cols;} function in class:Eigen::DenseStorage 330 EIGEN_DEVICE_FUNC Index cols(void) const {return m_cols;} function in class:Eigen::DenseStorage 395 EIGEN_DEVICE_FUNC Index cols(void) const {return m_cols;} function in class:Eigen::DenseStorage 471 EIGEN_DEVICE_FUNC Index cols(void) const {return m_cols;} function in class:Eigen::DenseStorage 545 EIGEN_DEVICE_FUNC static Index cols(void) {return _Cols;} function in class:Eigen::DenseStorage [all...] |
Reverse.h | 93 EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.cols(); } function in class:Eigen::Reverse 141 if(cols()>rows()) 143 Index half = cols()/2; 145 if((cols()%2)==1) 157 Index half2 = cols()/2; 185 Index half = xpr.cols()/2;
|
MapBase.h | 71 using Base::cols; 90 /** \copydoc DenseBase::cols() */ 91 EIGEN_DEVICE_FUNC inline Index cols() const { return m_cols.value(); } function in class:Eigen::MapBase 170 inline MapBase(PointerType dataPtr, Index rows, Index cols) 171 : m_data(dataPtr), m_rows(rows), m_cols(cols) 175 && cols >= 0 && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols))); 191 || (cols() * rows() * innerStride() * sizeof(Scalar)) < internal::traits<Derived>::Alignment ) && "data is not aligned"); 230 using Base::cols; 281 EIGEN_DEVICE_FUNC inline MapBase(PointerType dataPtr, Index rows, Index cols) : Base(dataPtr, rows, cols) { [all...] |
Solve.h | 72 EIGEN_DEVICE_FUNC Index rows() const { return m_dec.cols(); } 73 EIGEN_DEVICE_FUNC Index cols() const { return m_rhs.cols(); } function in class:Eigen::Solve 124 : m_result(solve.rows(), solve.cols()) 143 Index dstCols = src.cols(); 144 if((dst.rows()!=dstRows) || (dst.cols()!=dstCols)) 159 Index dstCols = src.cols(); 160 if((dst.rows()!=dstRows) || (dst.cols()!=dstCols)) 176 Index dstCols = src.cols(); 177 if((dst.rows()!=dstRows) || (dst.cols()!=dstCols) [all...] |
/external/eigen/unsupported/Eigen/src/Skyline/ |
SkylineMatrixBase.h | 38 * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */ 44 * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */ 104 /** \returns the number of rows. \sa cols(), RowsAtCompileTime */ 110 inline Index cols() const { function in class:Eigen::SkylineMatrixBase 111 return derived().cols(); 114 /** \returns the number of coefficients, which is \a rows()*cols(). 115 * \sa rows(), cols(), SizeAtCompileTime. */ 117 return rows() * cols(); 129 return (int(Flags) & RowMajorBit) ? this->rows() : this->cols(); 133 * i.e., the number of rows for a columns major matrix, and the number of cols otherwise * [all...] |
/external/gemmlowp/test/ |
test.h | 62 Matrix(int rows, int cols) : Map(nullptr, 0, 0, 0) { Resize(rows, cols); } 77 void Resize(int rows, int cols) { 79 cols_ = cols; 80 stride_ = kOrder == MapOrder::ColMajor ? rows : cols; 111 for (int c = 0; c < m->cols(); c++) { 121 for (int c = 0; c < m->cols(); c++) {
|
/external/eigen/Eigen/src/SparseLU/ |
SparseLU.h | 133 inline Index cols() const { return m_mat.cols(); } function in class:Eigen::SparseLU 226 X.resize(B.rows(),B.cols()); 229 for(Index j = 0; j < B.cols(); ++j) 237 for (Index j = 0; j < B.cols(); ++j) 261 for (Index j = 0; j < this->cols(); ++j) 290 for (Index j = 0; j < this->cols(); ++j) 316 for (Index j = 0; j < this->cols(); ++j) 344 for (Index j = 0; j < this->cols(); ++j) 428 ei_declare_aligned_stack_constructed_variable(StorageIndex,outerIndexPtr,mat.cols()+1,mat.isCompressed()?const_cast<StorageIndex*>(mat.outerIndexPtr()):0) 710 Index cols() { return m_mapL.cols(); } function in struct:Eigen::SparseLUMatrixLReturnType 727 Index cols() { return m_mapL.cols(); } function in struct:Eigen::SparseLUMatrixUReturnType [all...] |
/external/eigen/bench/ |
benchEigenSolver.cpp | 37 int cols = m.cols(); local 45 MatrixType a = MatrixType::Random(rows,cols); 52 int c = internal::random<int>(0,covMat.cols()-1); 95 gmm::dense_matrix<Scalar> gmmCovMat(covMat.rows(),covMat.cols()); 96 gmm::dense_matrix<Scalar> eigvect(covMat.rows(),covMat.cols()); 133 gsl_matrix* gslCovMat = gsl_matrix_alloc(covMat.rows(),covMat.cols()); 134 gsl_matrix* gslCopy = gsl_matrix_alloc(covMat.rows(),covMat.cols()); 135 gsl_matrix* eigvect = gsl_matrix_alloc(covMat.rows(),covMat.cols()); 139 gsl_matrix_complex* eigvectz = gsl_matrix_complex_alloc(covMat.rows(),covMat.cols()); [all...] |
/external/eigen/debug/gdb/ |
printers.py | 60 self.cols = val['m_storage']['m_cols'] 62 self.cols = int(template_params[2]) 81 def __init__ (self, rows, cols, dataPtr, rowMajor): 83 self.cols = cols 100 if self.currentCol >= self.cols: 112 if self.currentCol >= self.cols: 119 if (self.cols == 1): #if it's a column vector 127 return self._iterator(self.rows, self.cols, self.data, self.rowMajor) 130 return "Eigen::%s<%s,%d,%d,%s> (data ptr: %s)" % (self.variety, self.innerType, self.rows, self.cols, "RowMajor" if self.rowMajor else "ColMajor", self.data [all...] |
/external/opencv/ml/src/ |
mlann_mlp.cpp | 180 for( i = 1; i < layer_sizes->cols; i++ ) 198 if( i < layer_sizes->cols - 1 ) 223 _layer_sizes->cols != 1 && _layer_sizes->rows != 1 || 230 l_count = _layer_sizes->rows + _layer_sizes->cols - 1; 286 if( _inputs->cols != layer_sizes->data.i[0] ) 290 if( _outputs->cols != layer_sizes->data.i[layer_sizes->cols - 1] ) 305 l_count = layer_sizes->cols; 313 cvInitMatHeader( layer_out, dn, layer_in->cols, CV_64F, buf ); 321 int cols = layer_sizes->data.i[j] local 343 int i, j, cols = _src->cols; local 371 int i, j, cols = _src->cols; local 399 int i, j, n = sums->rows, cols = sums->cols; local 479 int i, j, n = _xf->rows, cols = _xf->cols; local [all...] |
/device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Tools/scripts/ |
byext.py | 86 cols = columns.keys()
87 cols.sort()
92 for col in cols:
109 cols.insert(0, "ext")
111 for col in cols:
116 for col in cols:
|
/external/eigen/Eigen/src/Geometry/ |
Homogeneous.h | 76 EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.cols() + (int(Direction)==Horizontal ? 1 : 0); } function in class:Eigen::Homogeneous 200 Direction==Horizontal ? _expression().cols()-1 : _expression().cols()).cwiseQuotient( 206 Direction==Horizontal ? _expression().cols()-1:0, 208 Direction==Horizontal ? 1 : _expression().cols()), 210 Direction==Horizontal ? _expression().cols()-1 : 1)); 266 EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); } function in struct:Eigen::internal::homogeneous_left_product_impl 274 (m_lhs,0,0,m_lhs.rows(),m_lhs.cols()-1) * m_rhs 304 EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); } function in struct:Eigen::internal::homogeneous_right_product_impl [all...] |