| /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()
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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…
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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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