/external/tensorflow/tensorflow/compiler/tests/ |
D | cholesky_op_test.py | 30 from tensorflow.python.ops import linalg_ops 62 chol = linalg_ops.cholesky(placeholder) 91 linalg_ops.cholesky(np.array([[1., 2., 3.], [3., 4., 5.]], dtype=dtype)) 93 linalg_ops.cholesky( 102 linalg_ops.cholesky(np.array([[1., 2., 3.], [3., 4., 5.]], dtype=dtype)) 104 linalg_ops.cholesky( 114 linalg_ops.cholesky(tensor3) 116 linalg_ops.cholesky(tensor3) 123 linalg_ops.cholesky(tensor3) 125 linalg_ops.cholesky(tensor3)
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D | matrix_solve_op_test.py | 25 from tensorflow.python.ops import linalg_ops 40 tf_ans = linalg_ops.matrix_solve(a, b, adjoint=adjoint) 72 s1 = linalg_ops.matrix_solve(lhs1, rhs1, adjoint=adjoint) 73 s2 = linalg_ops.matrix_solve(lhs2, rhs2, adjoint=adjoint)
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D | matrix_triangular_solve_op_test.py | 31 from tensorflow.python.ops import linalg_ops 65 x = linalg_ops.matrix_triangular_solve( 146 linalg_ops.matrix_triangular_solve(a, b) 156 linalg_ops.matrix_triangular_solve(lhs, rhs) 158 linalg_ops.matrix_triangular_solve(lhs, rhs) 168 linalg_ops.matrix_triangular_solve(lhs, rhs) 170 linalg_ops.matrix_triangular_solve(lhs, rhs)
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D | self_adjoint_eig_op_test.py | 28 from tensorflow.python.ops import linalg_ops 45 e, v = linalg_ops.self_adjoint_eig(x_tf)
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | eig_op_test.py | 28 from tensorflow.python.ops import linalg_ops 50 linalg_ops.eig(scalar) 53 linalg_ops.eig(vector) 63 e1, v1 = linalg_ops.eig(matrix1) 64 e2, v2 = linalg_ops.eig(matrix2) 67 e1 = linalg_ops.eigvals(matrix1) 68 e2 = linalg_ops.eigvals(matrix2) 88 (e, v) = self.evaluate(linalg_ops.self_adjoint_eig(matrix_tensor)) 171 tf_e, tf_v = linalg_ops.eig(constant_op.constant(a)) 176 linalg_ops.matrix_inverse(tf_v)) [all …]
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D | self_adjoint_eig_op_test.py | 28 from tensorflow.python.ops import linalg_ops 50 linalg_ops.self_adjoint_eig(scalar) 53 linalg_ops.self_adjoint_eig(vector) 63 e1, v1 = linalg_ops.self_adjoint_eig(matrix1) 64 e2, v2 = linalg_ops.self_adjoint_eig(matrix2) 67 e1 = linalg_ops.self_adjoint_eigvals(matrix1) 68 e2 = linalg_ops.self_adjoint_eigvals(matrix2) 88 (e, v) = self.evaluate(linalg_ops.self_adjoint_eig(matrix_tensor)) 161 tf_e, tf_v = linalg_ops.self_adjoint_eig(constant_op.constant(a)) 174 tf_e = linalg_ops.self_adjoint_eigvals(constant_op.constant(a)) [all …]
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D | norm_op_test.py | 26 from tensorflow.python.ops import linalg_ops 45 linalg_ops.norm(matrix, ord=ord_) 50 linalg_ops.norm(matrix, ord=ord_, axis=-1) 55 linalg_ops.norm(matrix, ord=ord_, axis=[-2, -1]) 64 linalg_ops.norm(matrix, axis=axis_) 74 tf_norm = linalg_ops.norm( 79 tf_norm = linalg_ops.norm(
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D | cholesky_op_test.py | 33 from tensorflow.python.ops import linalg_ops 64 l_inverse_middle = linalg_ops.matrix_triangular_solve(l, middle, adjoint=True) 70 grad_a = linalg_ops.matrix_triangular_solve(l, z_h, adjoint=True) 76 l_inverse = linalg_ops.matrix_inverse(l) 83 l_inverse = linalg_ops.matrix_triangular_solve(l, 84 linalg_ops.eye( 108 chol = linalg_ops.cholesky(x) 150 linalg_ops.cholesky(np.array([[1., 2., 3.], [3., 4., 5.]])) 152 linalg_ops.cholesky( 160 linalg_ops.cholesky(tensor3) [all …]
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D | matrix_solve_op_test.py | 32 from tensorflow.python.ops import linalg_ops 65 tf_ans = linalg_ops.matrix_solve(a_ph, b_ph, adjoint=adjoint) 69 tf_ans = linalg_ops.matrix_solve(a, b, adjoint=adjoint) 105 self.evaluate(linalg_ops.matrix_solve(matrix, matrix)) 113 self.evaluate(linalg_ops.matrix_solve(matrix, rhs)) 121 self.evaluate(linalg_ops.matrix_solve(matrix, matrix)) 137 s1 = linalg_ops.matrix_solve(lhs1, rhs1, adjoint=adjoint_) 138 s2 = linalg_ops.matrix_solve(lhs2, rhs2, adjoint=adjoint_) 185 x = linalg_ops.matrix_solve(matrix, rhs, adjoint=adjoint) 203 x = linalg_ops.matrix_solve(matrix, rhs, adjoint=adjoint)
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D | linalg_grad_test.py | 28 from tensorflow.python.ops import linalg_ops 52 determinants = linalg_ops.matrix_determinant(batch_identity) 200 linalg_ops.matrix_solve, dtype, shape, adjoint=adjoint)) 208 linalg_ops.matrix_triangular_solve, 222 linalg_ops.banded_triangular_solve, 239 _GetMatrixUnaryFunctorGradientTest(linalg_ops.matrix_inverse, dtype, 251 _GetMatrixUnaryFunctorGradientTest(linalg_ops.matrix_determinant, 257 lambda x: linalg_ops.log_matrix_determinant(x)[1], dtype, 268 _GetMatrixUnaryFunctorGradientTest(linalg_ops.matrix_square_root, 286 (lambda a, b, l=l2_regularization: linalg_ops.matrix_solve_ls(
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D | matrix_inverse_op_test.py | 28 from tensorflow.python.ops import linalg_ops 42 inv = linalg_ops.matrix_inverse(y, adjoint=adjoint) 107 linalg_ops.matrix_inverse(np.array([[1., 2., 3.], [3., 4., 5.]])) 114 linalg_ops.matrix_inverse(tensor3) 123 linalg_ops.matrix_inverse(tensor3).eval() 147 inv1 = linalg_ops.matrix_inverse(matrix1, adjoint=adjoint_) 148 inv2 = linalg_ops.matrix_inverse(matrix2, adjoint=adjoint_) 187 inv = linalg_ops.matrix_inverse(matrix, adjoint=adjoint) 201 inv = linalg_ops.matrix_inverse(matrix, adjoint=adjoint)
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D | matrix_solve_ls_op_test.py | 32 from tensorflow.python.ops import linalg_ops 119 tf_ans = linalg_ops.matrix_solve_ls( 122 tf_ans = linalg_ops.matrix_solve_ls( 138 tf_r_norm = linalg_ops.norm(tf_r, ord="fro", axis=[-2, -1]) 154 linalg_ops.matrix_solve_ls(matrix, rhs) 163 linalg_ops.matrix_solve_ls(empty0, empty0, fast=fast)) 166 linalg_ops.matrix_solve_ls(empty0, full, fast=fast)) 169 linalg_ops.matrix_solve_ls(full, empty0, fast=fast)) 172 linalg_ops.matrix_solve_ls(empty1, empty1, fast=fast)) 180 answer = linalg_ops.matrix_solve(matrix, rhs) [all …]
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D | qr_op_test.py | 33 from tensorflow.python.ops import linalg_ops 55 linalg_ops.qr(scalar) 59 linalg_ops.qr(vector) 74 q1, r1 = linalg_ops.qr(matrix1, full_matrices=full_matrices_) 75 q2, r2 = linalg_ops.qr(matrix2, full_matrices=full_matrices_) 143 q_tf, r_tf = linalg_ops.qr(x_tf, full_matrices=full_matrices_) 184 ret = linalg_ops.qr(x, full_matrices=True) 216 lambda a: linalg_ops.qr(a, full_matrices=full_matrices_)[0], 217 lambda a: linalg_ops.qr(a, full_matrices=full_matrices_)[1] 257 q, r = linalg_ops.qr(matrix) [all …]
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D | lu_op_test.py | 30 from tensorflow.python.ops import linalg_ops 69 lu, perm = linalg_ops.lu(x, output_idx_type=output_idx_type) 80 eye = linalg_ops.eye( 151 _, p = linalg_ops.lu(data) 162 _, p = linalg_ops.lu(data) 175 linalg_ops.lu( 180 linalg_ops.lu( 231 lu1, p1 = linalg_ops.lu(matrix1) 232 lu2, p2 = linalg_ops.lu(matrix2) 270 lu, p = linalg_ops.lu(matrix) [all …]
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D | svd_op_test.py | 34 from tensorflow.python.ops import linalg_ops 57 linalg_ops.svd(scalar) 61 linalg_ops.svd(vector) 74 s1, u1, v1 = linalg_ops.svd( 76 s2, u2, v2 = linalg_ops.svd( 80 s1 = linalg_ops.svd( 82 s2 = linalg_ops.svd( 161 s_tf, u_tf, v_tf = linalg_ops.svd( 170 s_tf = linalg_ops.svd( 206 tf_s, tf_u, tf_v = linalg_ops.svd( [all …]
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D | determinant_op_test.py | 29 from tensorflow.python.ops import linalg_ops 68 linalg_ops.matrix_determinant(matrix_x)) 141 linalg_ops.matrix_determinant( 149 linalg_ops.matrix_determinant(tensor1) 160 det1 = linalg_ops.matrix_determinant(matrix1) 161 det2 = linalg_ops.matrix_determinant(matrix2) 196 d = linalg_ops.matrix_determinant(matrix) 209 d = linalg_ops.matrix_determinant(matrix)
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D | linalg_ops_test.py | 31 from tensorflow.python.ops import linalg_ops 67 chol = linalg_ops.cholesky(array) 71 x = linalg_ops.cholesky_solve(chol, rhs) 157 self.assertEqual((2, 2), linalg_ops.eye(num_rows=2).shape) 158 self.assertEqual((2, 3), linalg_ops.eye(num_rows=2, num_columns=3).shape) 164 linalg_ops.eye(num_rows=2, batch_shape=batch_shape).shape) 167 linalg_ops.eye( 187 identity_matrix = linalg_ops.eye( 221 eye_tf = self.evaluate(linalg_ops.eye( 257 eye = linalg_ops.eye(
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/external/tensorflow/tensorflow/python/ops/linalg/ |
D | linalg_impl.py | 31 from tensorflow.python.ops import linalg_ops 40 cholesky = linalg_ops.cholesky 41 cholesky_solve = linalg_ops.cholesky_solve 42 det = linalg_ops.matrix_determinant 47 eigh = linalg_ops.self_adjoint_eig 48 eigvalsh = linalg_ops.self_adjoint_eigvals 50 eye = linalg_ops.eye 51 inv = linalg_ops.matrix_inverse 55 lstsq = linalg_ops.matrix_solve_ls 56 norm = linalg_ops.norm [all …]
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D | linear_operator_low_rank_update.py | 24 from tensorflow.python.ops import linalg_ops 392 det_c = linalg_ops.matrix_determinant(self._make_capacitance()) 406 linalg_ops.cholesky(self._make_capacitance())) 410 det_c = linalg_ops.matrix_determinant(self._make_capacitance()) 445 capinv_vh_linv_rhs = linalg_ops.cholesky_solve( 446 linalg_ops.cholesky(self._make_capacitance()), vh_linv_rhs)
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D | linear_operator.py | 34 from tensorflow.python.ops import linalg_ops 520 singular_values = linalg_ops.svd(self.to_dense(), compute_uv=False) 572 array_ops.matrix_diag_part(linalg_ops.cholesky(self.to_dense())), 735 return linalg_ops.matrix_determinant(self.to_dense()) 761 diag = array_ops.matrix_diag_part(linalg_ops.cholesky(self.to_dense())) 792 return linalg_ops.cholesky_solve( 793 linalg_ops.cholesky(self.to_dense()), rhs) 1016 eye = linalg_ops.eye(num_rows=n, batch_shape=batch_shape, dtype=self.dtype) 1093 return linalg_ops.self_adjoint_eigvals(self.to_dense()) 1118 vals = linalg_ops.svd(self.to_dense(), compute_uv=False)
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D | BUILD | 34 "//tensorflow/python:linalg_ops", 48 "//tensorflow/python:linalg_ops",
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/external/tensorflow/tensorflow/compiler/mlir/hlo/lib/Dialect/mhlo/transforms/ |
D | lhlo_fuse_linalg.cc | 171 SmallVector<LinalgOp, 8> linalg_ops; in runOnFunction() local 172 func.walk([&](LinalgOp op) { linalg_ops.push_back(op); }); in runOnFunction() 173 for (LinalgOp op : llvm::reverse(linalg_ops)) { in runOnFunction() 176 linalg::LinalgDependenceGraph graph(aliases, linalg_ops); in runOnFunction() 181 linalg_ops.begin(), linalg_ops.end(), in runOnFunction()
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/external/tensorflow/tensorflow/python/ops/ |
D | linalg_grad.py | 45 from tensorflow.python.ops import linalg_ops 378 a_adj_inv = linalg_ops.matrix_inverse(a, adjoint=True) 424 eye = linalg_ops.eye(order, dtype=sqrtm.dtype) # m x m identity matrix 443 vec_dsqrtm = linalg_ops.matrix_solve(ksum, vec_da) 455 a_adj_inv = linalg_ops.matrix_inverse(a, adjoint=True) 469 l_inverse = linalg_ops.matrix_triangular_solve(l, 470 linalg_ops.eye( 506 linalg_ops.matrix_triangular_solve( 557 grad_b = linalg_ops.matrix_solve(a, grad, adjoint=not adjoint_a) 589 chol = linalg_ops._RegularizedGramianCholesky( [all …]
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D | image_ops.py | 158 from tensorflow.python.ops import linalg_ops 265 inverse = linalg_ops.matrix_inverse(transforms) 299 inverse = linalg_ops.matrix_inverse(transforms)
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | math_test.py | 30 from tensorflow.python.ops import linalg_ops 672 + linalg_ops.eye(3)) # Ensure well-conditioned. 675 return linalg_ops.cholesky(array_ops.gather(x, i)) 685 return linalg_ops.log_matrix_determinant(array_ops.gather(x, i)) 693 10 * linalg_ops.eye(2)) # Ensure well-conditioned. 699 return linalg_ops.matrix_inverse(array_ops.gather(x, i), 712 10 * linalg_ops.eye(3)) # Ensure well-conditioned. 719 return linalg_ops.matrix_solve(a, b, adjoint=adjoint) 734 linalg_ops.eye(3), # Ensure well-conditioned. 742 return linalg_ops.matrix_triangular_solve( [all …]
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