/external/eigen/bench/ |
D | benchVecAdd.cpp | 19 __attribute__ ((noinline)) void benchVec(VectorXf& a, VectorXf& b, VectorXf& c); 64 VectorXf va = Map<VectorXf>(a, size2); in main() 65 VectorXf vb = Map<VectorXf>(b, size2); in main() 66 VectorXf vc = Map<VectorXf>(c, size2); in main() 85 void benchVec(VectorXf& a, VectorXf& b, VectorXf& c) in benchVec()
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D | bench_norm.cpp | 250 VectorXf vf = VectorXf::Ones(s) * yf; in check_accuracy() 265 VectorXf vf(s); in check_accuracy_var() 288 VectorXf v = VectorXf::Ones(1024) * y; in main() 332 VectorXf vf = VectorXf::Random(s1) * y; in main() 348 VectorXf vf = VectorXf::Random(512) * y; in main()
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D | sparse_cholesky.cpp | 84 VectorXf b = VectorXf::Random(cols); in main() 85 VectorXf x = VectorXf::Random(cols); in main()
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/external/tensorflow/tensorflow/core/kernels/ |
D | clustering_ops.cc | 127 const Eigen::VectorXf points_half_squared_norm = in Compute() 146 Eigen::VectorXf min_distances(num_points); in Compute() 148 Eigen::VectorXf min_distances_cumsum(num_points); in Compute() 175 Eigen::VectorXf best_new_min_distances(num_points); in Compute() 180 Eigen::VectorXf new_min_distances = in Compute() 213 static Eigen::VectorXf GetHalfSquaredDistancesToY( in GetHalfSquaredDistancesToY() 215 const Eigen::Ref<const Eigen::VectorXf>& xs_half_squared_norm, in GetHalfSquaredDistancesToY() 338 const Eigen::VectorXf centers_half_squared_norm = in Compute() 398 const Eigen::VectorXf points_half_squared_norm = in Compute() 428 const Eigen::Ref<const Eigen::VectorXf>& points_half_squared_norm, in FindKNearestCenters() [all …]
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/external/eigen/failtest/ |
D | ref_3.cpp | 6 void call_ref(Ref<VectorXf> a) { } in call_ref() 8 void call_ref(const Ref<const VectorXf> &a) { } in call_ref() 13 VectorXf a(10); in main()
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D | ref_1.cpp | 11 void call_ref(Ref<VectorXf> a) { } in call_ref() 15 VectorXf a(10); in main() 16 CV_QUALIFIER VectorXf& ac(a); in main()
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D | swap_1.cpp | 7 VectorXf a(10), b(10); in main() 9 const DenseBase<VectorXf> &ac(a); in main() 11 DenseBase<VectorXf> &ac(a); in main()
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D | ref_5.cpp | 5 void call_ref(Ref<VectorXf> a) { } in call_ref() 9 VectorXf a(10); in main() 10 DenseBase<VectorXf> &ac(a); in main()
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D | ternary_2.cpp | 7 VectorXf a(10), b(10); in main() 11 b = argc>1 ? VectorXf(2*a) : VectorXf(a+a); in main()
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D | swap_2.cpp | 7 VectorXf a(10), b(10); in main() 8 VectorXf const &ac(a); in main()
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D | ternary_1.cpp | 7 VectorXf a(10), b(10); in main() 11 b = argc>1 ? 2*a : VectorXf(-a); in main()
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/external/eigen/doc/ |
D | InsideEigenExample.dox | 18 // VectorXf is a vector of floats, with dynamic size. 19 Eigen::VectorXf u(size), v(size), w(size); 39 … is that if we make a naive C++ library where the VectorXf class has an operator+ returning a Vect… 41 VectorXf tmp = v + w; 42 VectorXf u = tmp; 69 Eigen::VectorXf u(size), v(size), w(size); 72 First of all, VectorXf is the following typedef: 74 typedef Matrix<float, Dynamic, 1> VectorXf; 83 Eigen::VectorXf u(size); 106 When you call VectorXf::data() to get the pointer to the array of coefficients, it returns DenseSto… [all …]
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/external/eigen/test/ |
D | ref.cpp | 153 EIGEN_DONT_INLINE void call_ref_1(Ref<VectorXf> a, const B &b) { VERIFY_IS_EQUAL(a,b); } in call_ref_1() 155 EIGEN_DONT_INLINE void call_ref_2(const Ref<const VectorXf>& a, const B &b) { VERIFY_IS_EQUAL(a,b);… in call_ref_2() 157 EIGEN_DONT_INLINE void call_ref_3(Ref<VectorXf,0,InnerStride<> > a, const B &b) { VERIFY_IS_EQUAL(a… in call_ref_3() argument 159 EIGEN_DONT_INLINE void call_ref_4(const Ref<const VectorXf,0,InnerStride<> >& a, const B &b) { VERI… in call_ref_4() argument 170 VectorXf a = VectorXf::Random(10); in call_ref() 174 const VectorXf& ac(a); in call_ref() 175 VectorBlock<VectorXf> ab(a,0,3); in call_ref() 176 const VectorBlock<VectorXf> abc(a,0,3); in call_ref()
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D | unalignedcount.cpp | 34 VectorXf a(40), b(40); in test_unalignedcount() 41 VectorXf a(40), b(40); in test_unalignedcount()
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/external/tensorflow/tensorflow/contrib/boosted_trees/lib/learner/common/stats/ |
D | node-stats.h | 135 Eigen::VectorXf g = TensorToEigenVector(grad_stats.first.t, grad_dim); in NodeStats() 205 Eigen::VectorXf g = TensorToEigenVector(grad_stats.first.t, grad_dim); in NodeStats() 242 const Eigen::VectorXf& g) { in CalculateWeightAndGain() 245 Eigen::VectorXf weight; in CalculateWeightAndGain() 264 static Eigen::VectorXf TensorToEigenVector(const Tensor& tensor, in TensorToEigenVector() 266 return Eigen::Map<const Eigen::VectorXf>(tensor.flat<float>().data(), in TensorToEigenVector()
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/external/eigen/doc/snippets/ |
D | LeastSquaresQR.cpp | 2 VectorXf b = VectorXf::Random(3);
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D | LeastSquaresNormalEquations.cpp | 2 VectorXf b = VectorXf::Random(3);
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D | LLT_solve.cpp | 4 VectorXf elevations = 2*samples.col(0) + 3*samples.col(1) + VectorXf::Random(12)*0.1;
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D | Matrix_setRandom_int.cpp | 1 VectorXf v;
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D | Matrix_setOnes_int.cpp | 1 VectorXf v;
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D | Matrix_setConstant_int.cpp | 1 VectorXf v;
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D | Matrix_setZero_int.cpp | 1 VectorXf v;
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D | DenseBase_setLinSpaced.cpp | 1 VectorXf v;
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D | MatrixBase_ones_int.cpp | 2 cout << VectorXf::Ones(2) << endl;
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/external/eigen/doc/examples/ |
D | TutorialLinAlgSVDSolve.cpp | 11 VectorXf b = VectorXf::Random(3); in main()
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