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  /prebuilts/ndk/r11/platforms/android-24/arch-mips/usr/include/linux/
virtio_console.h 31 __u16 cols; member in struct:virtio_console_config
  /prebuilts/ndk/r11/platforms/android-24/arch-mips64/usr/include/linux/
virtio_console.h 31 __u16 cols; member in struct:virtio_console_config
  /prebuilts/ndk/r11/platforms/android-24/arch-x86/usr/include/linux/
virtio_console.h 31 __u16 cols; member in struct:virtio_console_config
  /prebuilts/ndk/r11/platforms/android-24/arch-x86_64/usr/include/linux/
virtio_console.h 31 __u16 cols; member in struct:virtio_console_config
  /prebuilts/tools/common/spantable/
spantable.jar 
  /external/eigen/Eigen/src/Core/products/
TriangularMatrixMatrix.h 60 Index rows, Index cols, Index depth,
74 ::run(cols, rows, depth, rhs, rhsStride, lhs, lhsStride, res, resStride, alpha, blocking);
118 Index cols = _cols; local
135 std::size_t sizeB = kc*cols;
165 pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
196 actualPanelWidth, actualPanelWidth, cols, alpha,
207 lengthTarget, actualPanelWidth, cols, alpha,
223 actual_kc, cols, alpha, -1, -1, 0, 0);
269 Index cols = IsLower ? diagSize : _cols; local
282 std::size_t sizeB = kc*cols+EIGEN_MAX_ALIGN_BYTES/sizeof(Scalar)
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  /external/eigen/Eigen/src/Core/
BandMatrix.h 51 using Base::cols;
85 { return Block<CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
89 { return Block<const CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
136 dst.resize(rows(),cols());
147 DenseMatrixType res(rows(),cols());
155 { return i<0 ? (std::min)(cols(),rows()+i) : (std::min)(rows(),cols()-i); }
198 template<typename _Scalar, int Rows, int Cols, int Supers, int Subs, int Options>
199 class BandMatrix : public BandMatrixBase<BandMatrix<_Scalar,Rows,Cols,Supers,Subs,Options> >
207 explicit inline BandMatrix(Index rows=Rows, Index cols=Cols, Index supers=Supers, Index subs=Subs
217 inline Index cols() const { return m_coeffs.cols(); } function in class:Eigen::internal::BandMatrix
281 inline Index cols() const { return m_coeffs.cols(); } function in class:Eigen::internal::BandMatrixWrapper
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CwiseTernaryOp.h 125 eigen_assert(a1.rows() == a2.rows() && a1.cols() == a2.cols() &&
126 a1.rows() == a3.rows() && a1.cols() == a3.cols());
147 EIGEN_STRONG_INLINE Index cols() const { function in class:Eigen::CwiseTernaryOp
154 return m_arg3.cols();
159 return m_arg2.cols();
161 return m_arg1.cols();
  /external/gemmlowp/test/
benchmark.cc 58 int rows, depth, cols; member in struct:gemmlowp::gemm_t
59 gemm_t() : rows(0), depth(0), cols(0) {}
60 gemm_t(int r, int d, int c) : rows(r), depth(d), cols(c) {}
66 (a.depth < b.depth || (a.depth <= b.depth && (a.cols < b.cols))));
79 int cols = gemm.cols; local
81 sizeof(Scalar) * (rows * depth + depth * cols + rows * cols);
95 rhs[k].Resize(gemms[j].depth, gemms[j].cols);
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correctness_meta_gemm.cc 47 void prepare_test_data(std::uint8_t* data, std::int32_t rows, std::int32_t cols,
51 for (int j = 0; j < cols; ++j) {
52 data[i * cols + j] = static_cast<std::uint8_t>(value);
62 std::int32_t rows, std::int32_t cols, std::int32_t depth,
69 for (int j = 0; j < cols; ++j) {
86 std::int32_t actual = static_cast<std::int32_t>(result[i * cols + j]);
118 std::int32_t rows, std::int32_t cols, std::int32_t depth,
123 for (int j = 0; j < cols; ++j) {
131 float actual_float = result[i * cols + j];
163 void clear(T* result, std::int32_t rows, std::int32_t cols) {
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  /external/opencv/cvaux/src/
cvbgfg_codebook.cpp 105 roi.width = image->cols;
109 CV_ASSERT( (unsigned)roi.x < (unsigned)image->cols &&
112 roi.x + roi.width <= image->cols &&
115 if( image->cols != model->size.width || image->rows != model->size.height )
120 int bufSz = image->cols*image->rows*sizeof(model->cbmap[0]);
123 model->size = cvSize(image->cols, image->rows);
142 CvBGCodeBookElem** cb = model->cbmap + image->cols*(y + roi.y) + roi.x;
241 image->cols == model->size.width && image->rows == model->size.height &&
246 roi.width = image->cols;
250 CV_ASSERT( (unsigned)roi.x < (unsigned)image->cols &
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  /external/eigen/Eigen/src/SPQRSupport/
SuiteSparseQRSupport.h 117 for (int j = 0; j < mat.cols(); j++) max2Norm = numext::maxi(max2Norm, mat.col(j).norm());
120 pivotThreshold = 20 * (mat.rows() + mat.cols()) * max2Norm * NumTraits<RealScalar>::epsilon();
125 Index col = matrix.cols();
147 inline Index cols() const { return m_cR->ncol; } function in class:Eigen::SPQR
153 eigen_assert(b.cols()==1 && "This method is for vectors only");
162 y.resize((std::max)(cols(),Index(y.rows())),y.cols());
169 for(Index i = rk; i < cols(); ++i) dest.row(m_E[i]).setZero();
172 // dest = colsPermutation() * y.topRows(cols());
201 * It should be equal to matrixQR().cols if the matrix is full-ran
261 inline Index cols() const { return m_other.cols(); } function in struct:Eigen::SPQR_QProduct
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  /external/eigen/unsupported/Eigen/src/KroneckerProduct/
KroneckerTensorProduct.h 42 inline Index cols() const { return m_A.cols() * m_B.cols(); } function in class:Eigen::KroneckerProductBase
50 return m_A.coeff(row / m_B.rows(), col / m_B.cols()) *
51 m_B.coeff(row % m_B.rows(), col % m_B.cols());
139 Bc = m_B.cols();
141 for (Index j=0; j < m_A.cols(); ++j)
149 Index Br = m_B.rows(), Bc = m_B.cols();
150 dst.resize(this->rows(), this->cols());
168 VectorXi nnzA = VectorXi::Zero(Dest::IsRowMajor ? m_A.rows() : m_A.cols());
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  /external/eigen/unsupported/Eigen/src/Skyline/
SkylineProduct.h 78 eigen_assert(lhs.cols() == rhs.rows());
101 EIGEN_STRONG_INLINE Index cols() const { function in class:Eigen::internal::SkylineProduct
102 return m_rhs.cols();
138 for (Index col = 0; col < rhs.cols(); col++) {
147 for (Index col = 0; col < rhs.cols(); col++) {
164 for (Index lhscol = 0; lhscol < lhs.cols(); lhscol++) {
167 for (Index rhscol = 0; rhscol < rhs.cols(); rhscol++) {
201 for (Index col = 0; col < rhs.cols(); col++) {
211 for (Index col = 0; col < rhs.cols(); col++) {
229 for (Index lhscol = 0; lhscol < lhs.cols(); lhscol++)
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  /external/opencv/ml/src/
ml_inner_functions.cpp 160 int dim = sample->cols;
220 int dim = sample->cols;
277 int dim = data ? data->cols : 0;
345 CV_ASSERT (center->cols == desired_matrix->cols);
347 dim = desired_matrix->cols;
377 int rows, cols; local
385 cols = matrix->cols;
405 for( j = i+1; j < cols; j++, src += step
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  /external/libvterm/src/
screen.c 56 int cols; member in struct:VTermScreen
75 if(col < 0 || col >= screen->cols)
77 return screen->buffer + (screen->cols * row) + col;
88 if(buffer && row < screen->rows && col < screen->cols)
89 *new_cell = buffer[row * screen->cols + col];
166 .end_col = screen->cols,
213 dest.end_col == screen->cols && // full width
217 for(pos.col = 0; pos.col < screen->cols; pos.col++)
220 (screen->callbacks->sb_pushline)(screen->cols, screen->sb_buffer, screen->cbdata);
224 int cols = src.end_col - src.start_col local
631 int rows, cols; local
829 int rows, cols; local
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  /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/general/
LevenbergMarquardtOptimizer.java 247 solvedCols = Math.min(rows, cols);
248 diagR = new double[cols];
249 jacNorm = new double[cols];
250 beta = new double[cols];
251 permutation = new int[cols];
252 lmDir = new double[cols];
257 double[] diag = new double[cols];
258 double[] oldX = new double[cols];
262 double[] work1 = new double[cols];
263 double[] work2 = new double[cols];
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  /external/eigen/Eigen/src/LU/
PartialPivLU_LAPACKE.h 47 static lapack_int blocked_lu(Index rows, Index cols, EIGTYPE* lu_data, Index luStride, lapack_int* row_transpositions, lapack_int& nb_transpositions, lapack_int maxBlockSize=256) \
59 n = convert_index<lapack_int>(cols); \
  /external/eigen/Eigen/src/SparseCore/
MappedSparseMatrix.h 42 inline MappedSparseMatrix(Index rows, Index cols, Index nnz, StorageIndex* outerIndexPtr, StorageIndex* innerIndexPtr, Scalar* valuePtr, StorageIndex* innerNonZeroPtr = 0)
43 : Base(rows, cols, nnz, outerIndexPtr, innerIndexPtr, valuePtr, innerNonZeroPtr)
TriangularSolver.h 36 for(Index col=0 ; col<other.cols() ; ++col)
73 for(Index col=0 ; col<other.cols() ; ++col)
112 for(Index col=0 ; col<other.cols() ; ++col)
114 for(Index i=0; i<lhs.cols(); ++i)
147 for(Index col=0 ; col<other.cols() ; ++col)
149 for(Index i=lhs.cols()-1; i>=0; --i)
180 eigen_assert(derived().cols() == derived().rows() && derived().cols() == other.rows());
222 Rhs res(other.rows(), other.cols());
225 for(Index col=0 ; col<other.cols() ; ++col
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  /external/eigen/Eigen/src/misc/
Image.h 49 inline Index cols() const { return m_cols; } function in struct:Eigen::internal::image_retval_base
76 using Base::cols; \
  /external/webrtc/webrtc/tools/loopback_test/
stat_tracker.js 82 function allColumns(cols) {
84 for (var i = 1; i < cols; ++i) a.push(i);
  /external/opencv/cxcore/include/
cxcore.hpp 214 CvMatrix( int rows, int cols, int type )
215 { matrix = cvCreateMat( rows, cols, type ); }
217 CvMatrix( int rows, int cols, int type, CvMat* hdr,
219 { matrix = cvInitMatHeader( hdr, rows, cols, type, data, step ); }
221 CvMatrix( int rows, int cols, int type, CvMemStorage* storage, bool alloc_data=true );
223 CvMatrix( int rows, int cols, int type, void* data, int step=CV_AUTOSTEP )
224 { matrix = cvCreateMatHeader( rows, cols, type );
260 void create( int rows, int cols, int type )
263 matrix->rows != rows || matrix->cols != cols ||
313 int cols() const { return matrix ? matrix->cols : 0; } function in class:CvMatrix
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  /external/eigen/test/
cholesky.cpp 65 Index cols = m.cols(); local
72 MatrixType a0 = MatrixType::Random(rows,cols);
74 MatrixType matB = MatrixType::Random(rows,cols), matX(rows,cols);
79 MatrixType a1 = MatrixType::Random(rows,cols);
94 const MatrixType symmLo_inverse = chollo.solve(MatrixType::Identity(rows,cols));
112 const MatrixType symmUp_inverse = cholup.solve(MatrixType::Identity(rows,cols));
129 MatrixType m1 = MatrixType::Random(rows,cols), m2(rows,cols);
295 Index cols = m.cols(); local
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inverse.cpp 22 Index cols = m.cols(); local
26 MatrixType m1(rows, cols),
27 m2(rows, cols),
65 MatrixType m3 = v3*v3.transpose(), m4(rows,cols);

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