| /external/eigen/test/ |
| D | diagonal.cpp | 12 template<typename MatrixType> void diagonal(const MatrixType& m) in diagonal() function
26 VERIFY_IS_APPROX(m1.diagonal(), m1.transpose().diagonal()); in diagonal()
27 m2.diagonal() = 2 * m1.diagonal(); in diagonal()
28 m2.diagonal()[0] *= 3; in diagonal()
40 VERIFY(m1.template diagonal<N1>().RowsAtCompileTime == m1.diagonal(N1).size()); in diagonal()
41 VERIFY(m1.template diagonal<N2>().RowsAtCompileTime == m1.diagonal(N2).size()); in diagonal()
44 m2.template diagonal<N1>() = 2 * m1.template diagonal<N1>(); in diagonal()
45 VERIFY_IS_APPROX(m2.template diagonal<N1>(), static_cast<Scalar>(2) * m1.diagonal(N1)); in diagonal()
46 m2.template diagonal<N1>()[0] *= 3; in diagonal()
47 …VERIFY_IS_APPROX(m2.template diagonal<N1>()[0], static_cast<Scalar>(6) * m1.template diagonal<N1>(… in diagonal()
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| D | diagonalmatrices.cpp | 47 VERIFY_IS_APPROX(ldm1.diagonal(), ldm3.diagonal()); in diagonalmatrices()
49 VERIFY_IS_APPROX(ldm1.diagonal(), ldm4.diagonal()); in diagonalmatrices()
59 VERIFY_IS_APPROX( ((ldm1 * m1)(i,j)) , ldm1.diagonal()(i) * m1(i,j) ); in diagonalmatrices()
60 VERIFY_IS_APPROX( ((ldm1 * (m1+m2))(i,j)) , ldm1.diagonal()(i) * (m1+m2)(i,j) ); in diagonalmatrices()
61 VERIFY_IS_APPROX( ((m1 * rdm1)(i,j)) , rdm1.diagonal()(j) * m1(i,j) ); in diagonalmatrices()
90 VERIFY_IS_APPROX(LeftDiagonalMatrix(ldm1*s1).diagonal(), ldm1.diagonal() * s1); in diagonalmatrices()
91 VERIFY_IS_APPROX(LeftDiagonalMatrix(s1*ldm1).diagonal(), s1 * ldm1.diagonal()); in diagonalmatrices()
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| D | bandmatrix.cpp | 28 m.diagonal().setConstant(123); in bandmatrix()
29 dm1.diagonal().setConstant(123); in bandmatrix()
32 m.diagonal(i).setConstant(static_cast<RealScalar>(i)); in bandmatrix()
33 dm1.diagonal(i).setConstant(static_cast<RealScalar>(i)); in bandmatrix()
37 m.diagonal(-i).setConstant(-static_cast<RealScalar>(i)); in bandmatrix()
38 dm1.diagonal(-i).setConstant(-static_cast<RealScalar>(i)); in bandmatrix()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_MatrixDiag.pbtxt | 4 name: "diagonal"
12 Rank `k+1`, with `output.shape = diagonal.shape + [diagonal.shape[-1]]`.
15 summary: "Returns a batched diagonal tensor with a given batched diagonal values."
17 Given a `diagonal`, this operation returns a tensor with the `diagonal` and
18 everything else padded with zeros. The diagonal is computed as follows:
20 Assume `diagonal` has `k` dimensions `[I, J, K, ..., N]`, then the output is a
23 `output[i, j, k, ..., m, n] = 1{m=n} * diagonal[i, j, k, ..., n]`.
28 # 'diagonal' is [[1, 2, 3, 4], [5, 6, 7, 8]]
30 and diagonal.shape = (2, 4)
32 tf.matrix_diag(diagonal) ==> [[[1, 0, 0, 0]
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| D | api_def_Diag.pbtxt | 4 name: "diagonal"
9 summary: "Returns a diagonal tensor with a given diagonal values."
11 Given a `diagonal`, this operation returns a tensor with the `diagonal` and
12 everything else padded with zeros. The diagonal is computed as follows:
14 Assume `diagonal` has dimensions [D1,..., Dk], then the output is a tensor of
17 `output[i1,..., ik, i1,..., ik] = diagonal[i1, ..., ik]` and 0 everywhere else.
22 # 'diagonal' is [1, 2, 3, 4]
23 tf.diag(diagonal) ==> [[1, 0, 0, 0]
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| D | api_def_MatrixDiagV2.pbtxt | 4 name: "diagonal"
11 diagonal, and negative value means subdiagonals. `k` can be a single integer
12 (for a single diagonal) or a pair of integers specifying the low and high ends
21 innermost dimension of `diagonal`.
29 k and the innermost dimension of `diagonal`.
35 The number to fill the area outside the specified diagonal band with.
46 "Returns a batched diagonal tensor with given batched diagonal values."
48 Returns a tensor with the contents in `diagonal` as `k[0]`-th to `k[1]`-th
52 its size from `k` and the innermost dimension of `diagonal`. If only one of them
56 Let `diagonal` have `r` dimensions `[I, J, ..., L, M, N]`. The output tensor has
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| D | api_def_MatrixDiagV3.pbtxt | 4 name: "diagonal"
11 diagonal, and negative value means subdiagonals. `k` can be a single integer
12 (for a single diagonal) or a pair of integers specifying the low and high ends
21 innermost dimension of `diagonal`.
29 k and the innermost dimension of `diagonal`.
35 The number to fill the area outside the specified diagonal band with.
58 "Returns a batched diagonal tensor with given batched diagonal values."
60 Returns a tensor with the contents in `diagonal` as `k[0]`-th to `k[1]`-th
64 its size from `k` and the innermost dimension of `diagonal`. If only one of them
68 Let `diagonal` have `r` dimensions `[I, J, ..., L, M, N]`. The output tensor has
[all …]
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| D | api_def_MatrixSetDiagV2.pbtxt | 8 name: "diagonal"
18 diagonal, and negative value means subdiagonals. `k` can be a single integer
19 (for a single diagonal) or a pair of integers specifying the low and high ends
29 summary: "Returns a batched matrix tensor with new batched diagonal values."
31 Given `input` and `diagonal`, this operation returns a tensor with the
33 innermost matrices. These will be overwritten by the values in `diagonal`.
36 `k[0] == k[1]`, `diagonal` has `r` dimensions `[I, J, ..., L, max_diag_len]`.
39 `max_diag_len` is the longest diagonal in the range `[k[0], k[1]]`,
47 = diagonal[i, j, ..., l, n-max(k[1], 0)] ; if n - m == k[1]
55 = diagonal[i, j, ..., l, diag_index, index_in_diag] ; if k[0] <= d <= k[1]
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| D | api_def_MatrixSetDiagV3.pbtxt | 8 name: "diagonal"
18 diagonal, and negative value means subdiagonals. `k` can be a single integer
19 (for a single diagonal) or a pair of integers specifying the low and high ends
41 summary: "Returns a batched matrix tensor with new batched diagonal values."
43 Given `input` and `diagonal`, this operation returns a tensor with the
45 innermost matrices. These will be overwritten by the values in `diagonal`.
48 `k[0] == k[1]`, `diagonal` has `r` dimensions `[I, J, ..., L, max_diag_len]`.
51 `max_diag_len` is the longest diagonal in the range `[k[0], k[1]]`,
59 = diagonal[i, j, ..., l, n-max(k[1], 0)] ; if n - m == k[1]
67 = diagonal[i, j, ..., l, diag_index, index_in_diag] ; if k[0] <= d <= k[1]
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| D | api_def_MatrixDiagPart.pbtxt | 10 name: "diagonal"
12 The extracted diagonal(s) having shape
13 `diagonal.shape = input.shape[:-2] + [min(input.shape[-2:])]`.
16 summary: "Returns the batched diagonal part of a batched tensor."
18 This operation returns a tensor with the `diagonal` part
19 of the batched `input`. The `diagonal` part is computed as follows:
24 `diagonal[i, j, k, ..., n] = input[i, j, k, ..., n, n]`.
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| D | api_def_DiagPart.pbtxt | 10 name: "diagonal"
12 The extracted diagonal.
15 summary: "Returns the diagonal part of the tensor."
17 This operation returns a tensor with the `diagonal` part
18 of the `input`. The `diagonal` part is computed as follows:
23 `diagonal[i1,..., ik] = input[i1, ..., ik, i1,..., ik]`.
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| D | api_def_MatrixSetDiag.pbtxt | 10 name: "diagonal"
21 summary: "Returns a batched matrix tensor with new batched diagonal values."
23 Given `input` and `diagonal`, this operation returns a tensor with the
24 same shape and values as `input`, except for the main diagonal of the
25 innermost matrices. These will be overwritten by the values in `diagonal`.
29 Assume `input` has `k+1` dimensions `[I, J, K, ..., M, N]` and `diagonal` has
33 * `output[i, j, k, ..., m, n] = diagonal[i, j, k, ..., n]` for `m == n`.
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| D | api_def_MatrixDiagPartV2.pbtxt | 11 diagonal, and negative value means subdiagonals. `k` can be a single integer
12 (for a single diagonal) or a pair of integers specifying the low and high ends
19 The value to fill the area outside the specified diagonal band with.
24 name: "diagonal"
25 description: "The extracted diagonal(s)."
27 summary: "Returns the batched diagonal part of a batched tensor."
42 diagonal[i, j, ..., l, n]
52 diagonal[i, j, ..., l, m, n]
70 # A main diagonal from each batch.
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| D | api_def_MatrixDiagPartV3.pbtxt | 11 diagonal, and negative value means subdiagonals. `k` can be a single integer
12 (for a single diagonal) or a pair of integers specifying the low and high ends
19 The value to fill the area outside the specified diagonal band with.
24 name: "diagonal"
25 description: "The extracted diagonal(s)."
39 summary: "Returns the batched diagonal part of a batched tensor."
54 diagonal[i, j, ..., l, n]
64 diagonal[i, j, ..., l, m, n]
70 `offset` is zero except when the alignment of the diagonal is to the right.
92 # A main diagonal from each batch.
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| /external/eigen/Eigen/src/Core/ |
| D | DiagonalMatrix.h | 49 inline const DiagonalVectorType& diagonal() const { return derived().diagonal(); } in diagonal() function
51 inline DiagonalVectorType& diagonal() { return derived().diagonal(); } in diagonal() function
54 inline Index rows() const { return diagonal().size(); } in rows()
56 inline Index cols() const { return diagonal().size(); } in cols()
71 return InverseReturnType(diagonal().cwiseInverse()); in inverse()
78 …t EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(DiagonalVectorType,Scalar,product) >(diagonal() * scalar);
84 …N_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar,DiagonalVectorType,product) >(scalar * other.diagonal());
136 inline const DiagonalVectorType& diagonal() const { return m_diagonal; }
139 inline DiagonalVectorType& diagonal() { return m_diagonal; }
160 inline DiagonalMatrix(const DiagonalBase<OtherDerived>& other) : m_diagonal(other.diagonal()) {}
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| D | BandMatrix.h | 84 inline Block<CoefficientsType,1,SizeAtCompileTime> diagonal() in diagonal() function
88 inline const Block<const CoefficientsType,1,SizeAtCompileTime> diagonal() const in diagonal() function
109 template<int N> inline typename DiagonalIntReturnType<N>::Type diagonal() in diagonal() function
115 template<int N> inline const typename DiagonalIntReturnType<N>::Type diagonal() const in diagonal() function
121 inline Block<CoefficientsType,1,Dynamic> diagonal(Index i) in diagonal() function
128 inline const Block<const CoefficientsType,1,Dynamic> diagonal(Index i) const in diagonal() function
138 dst.diagonal() = diagonal(); in evalTo()
140 dst.diagonal(i) = diagonal(i); in evalTo()
142 dst.diagonal(-i) = diagonal(-i); in evalTo()
320 { return Base::template diagonal<1>(); }
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| D | Diagonal.h | 188 MatrixBase<Derived>::diagonal()
196 MatrixBase<Derived>::diagonal() const
214 MatrixBase<Derived>::diagonal(Index index)
222 MatrixBase<Derived>::diagonal(Index index) const
241 MatrixBase<Derived>::diagonal()
250 MatrixBase<Derived>::diagonal() const
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| /external/eigen/Eigen/src/Eigenvalues/ |
| D | Tridiagonalization.h | 284 DiagonalReturnType diagonal() const;
307 Tridiagonalization<MatrixType>::diagonal() const
310 return m_matrix.diagonal().real();
318 return m_matrix.template diagonal<-1>().real();
446 diag = mat.diagonal().real();
447 subdiag = mat.template diagonal<-1>().real();
540 result.template diagonal<1>() = m_matrix.template diagonal<-1>().conjugate();
541 result.diagonal() = m_matrix.diagonal();
542 result.template diagonal<-1>() = m_matrix.template diagonal<-1>();
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| /external/eigen/Eigen/src/SVD/ |
| D | UpperBidiagonalization.h | 73 return HouseholderUSequenceType(m_householder, m_householder.diagonal().conjugate()); in householderU()
79 …olderVSequenceType(m_householder.conjugate(), m_householder.const_derived().template diagonal<1>()) in householderV()
94 typename MatrixType::RealScalar *diagonal,
118 .makeHouseholderInPlace(mat.coeffRef(k,k), diagonal[k]);
153 typename MatrixType::RealScalar *diagonal, in upperbidiagonalization_blocked_helper() argument
190 v_k.makeHouseholderInPlace(tau_v, diagonal[k]); in upperbidiagonalization_blocked_helper()
339 &(bidiagonal.template diagonal<0>().coeffRef(k)),
340 &(bidiagonal.template diagonal<1>().coeffRef(k)),
348 … &(bidiagonal.template diagonal<0>().coeffRef(k)),
349 … &(bidiagonal.template diagonal<1>().coeffRef(k)),
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| /external/eigen/doc/ |
| D | tutorial.cpp | 15 m3.diagonal().setOnes(); in main()
33 m4.diagonal().block(1,2).setOnes(); in main()
34 std::cout << "*** Step 5 ***\nm4.diagonal():\n" << m4.diagonal() << std::endl; in main()
35 std::cout << "m4.diagonal().start(3)\n" << m4.diagonal().start(3) << std::endl; in main()
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| D | QuickReference.dox | 604 view a vector \link MatrixBase::asDiagonal() as a diagonal matrix \endlink \n </td><td>\code
608 Declare a diagonal matrix</td><td>\code
610 diag1.diagonal() = vector;\endcode
612 <tr><td>Access the \link MatrixBase::diagonal() diagonal \endlink and \link MatrixBase::diagonal(In…
614 vec1 = mat1.diagonal(); mat1.diagonal() = vec1; // main diagonal
615 vec1 = mat1.diagonal(+n); mat1.diagonal(+n) = vec1; // n-th super diagonal
616 vec1 = mat1.diagonal(-n); mat1.diagonal(-n) = vec1; // n-th sub diagonal
617 vec1 = mat1.diagonal<1>(); mat1.diagonal<1>() = vec1; // first super diagonal
618 vec1 = mat1.diagonal<-2>(); mat1.diagonal<-2>() = vec1; // second sub diagonal
644 unit or null diagonal (read/write):
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| /external/eigen/Eigen/src/SparseCore/ |
| D | SparseAssign.h | 192 Index size = src.diagonal().size();
197 Map<ArrayXS>(dst.valuePtr(), size) = src.diagonal();
203 dst.diagonal() = src.diagonal();
207 { dst.diagonal() += src.diagonal(); }
210 { dst.diagonal() -= src.diagonal(); }
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | diag_op.cc | 48 const Tensor& diagonal = context->input(0); in Compute() local
49 const int num_dims = diagonal.dims(); in Compute()
55 out_shape.AddDim(diagonal.dim_size(i)); in Compute()
58 out_shape.AddDim(diagonal.dim_size(i)); in Compute()
65 diagFunc(context, diagonal.NumElements(), diagonal.flat<T>().data(), in Compute()
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
| D | DiagPart.pbtxt | 8 name: "diagonal"
33 name: "diagonal"
59 name: "diagonal"
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| D | Diag.pbtxt | 4 name: "diagonal"
29 name: "diagonal"
55 name: "diagonal"
|