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/dports/math/stanmath/math-4.2.0/stan/math/rev/fun/
H A Dcsr_matrix_times_vector.hpp18 Eigen::Map<Eigen::SparseMatrix<var, Eigen::RowMajor>> w_mat( in update_w() local
20 for (int k = 0; k < w_mat.outerSize(); ++k) { in update_w()
22 it(w_mat, k); in update_w()
34 Eigen::Map<Eigen::SparseMatrix<double, Eigen::RowMajor>> w_mat( in update_w() local
36 for (int k = 0; k < w_mat.outerSize(); ++k) { in update_w()
38 it(w_mat, k); in update_w()
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/gluon/sn_gan/
H A Dmodel.py58 w_mat = nd.reshape(w, [w.shape[0], -1])
64 _v = nd.L2Normalization(nd.dot(_u, w_mat))
65 _u = nd.L2Normalization(nd.dot(_v, w_mat.T))
67 sigma = nd.sum(nd.dot(_u, w_mat) * _v)
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/gluon/sn_gan/
H A Dmodel.py58 w_mat = nd.reshape(w, [w.shape[0], -1])
64 _v = nd.L2Normalization(nd.dot(_u, w_mat))
65 _u = nd.L2Normalization(nd.dot(_v, w_mat.T))
67 sigma = nd.sum(nd.dot(_u, w_mat) * _v)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/metrics/
H A D_classification.py651 w_mat = np.ones([n_classes, n_classes], dtype=int)
652 w_mat.flat[:: n_classes + 1] = 0
654 w_mat = np.zeros([n_classes, n_classes], dtype=int)
655 w_mat += np.arange(n_classes)
657 w_mat = np.abs(w_mat - w_mat.T)
659 w_mat = (w_mat - w_mat.T) ** 2
663 k = np.sum(w_mat * confusion) / np.sum(w_mat * expected)
/dports/math/stanmath/math-4.2.0/stan/math/prim/fun/
H A Dcsr_matrix_times_vector.hpp96 w_mat(m, n, w_ref.size(), u_zero_based.data(), v_zero_based.data(), in csr_matrix_times_vector() local
98 return w_mat * b; in csr_matrix_times_vector()
/dports/math/py-pystan/pystan-2.19.0.0/pystan/stan/lib/stan_math/stan/math/prim/mat/prob/
H A Dmulti_gp_lpdf.hpp81 Eigen::Matrix<T_w, Eigen::Dynamic, Eigen::Dynamic> w_mat(w.asDiagonal()); in multi_gp_lpdf() local
83 lp -= 0.5 * trace_gen_inv_quad_form_ldlt(w_mat, ldlt_Sigma, yT); in multi_gp_lpdf()
/dports/science/py-nilearn/nilearn-0.8.1/nilearn/connectome/
H A Dconnectivity_matrices.py169 logs = [_map_eigenvalues(np.log, w_mat) for w_mat in whitened_matrices]
/dports/games/crafty/crafty-25.2_1/
H A Devaluate.c252 int w_mat = (2 * TotalPieces(white, rook)) + TotalPieces(white, in Evaluate() local
256 cutoff = 72 + (w_mat + b_mat) * 8 + abs(w_mat - b_mat) * 16; in Evaluate()
/dports/science/py-nilearn/nilearn-0.8.1/nilearn/connectome/tests/
H A Dtest_connectivity_matrices.py48 logs = [_map_eigenvalues(np.log, w_mat) for w_mat in whitened_mats]