| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | mvn_tril_test.py | 42 chol = ds.matrix_diag_transform(mat, transform=nn_ops.softplus)
43 chol = array_ops.matrix_band_part(chol, -1, 0)
44 sigma = math_ops.matmul(chol, chol, adjoint_b=True)
45 return chol.eval(), sigma.eval()
50 chol, sigma = self._random_chol(2, 2)
51 chol[1, 1] = -chol[1, 1]
52 mvn = ds.MultivariateNormalTriL(mu, chol, validate_args=True)
70 chol, sigma = self._random_chol(2, 2)
71 chol[0, 0] = -chol[0, 0]
72 mvn = ds.MultivariateNormalTriL(mu, chol, validate_args=True)
[all …]
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| D | wishart_test.py | 40 def chol(x): function
58 w = distributions.WishartCholesky(df, chol(scale))
76 scale=chol(make_pd(1., 2)))
86 w = distributions.WishartCholesky(df, chol(scale))
93 w = distributions.WishartCholesky(df, chol(scale))
100 w = distributions.WishartCholesky(df, chol(scale))
101 self.assertAllEqual(chol(wishart_var(df, scale)), w.stddev().eval())
107 w = distributions.WishartCholesky(df, chol(scale))
116 df, chol(scale), cholesky_input_output_matrices=False)
119 chol_x = [chol(x[0])]
[all …]
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| D | mvn_full_covariance_test.py | 38 chol = ds.matrix_diag_transform(mat, transform=nn_ops.softplus)
39 chol = array_ops.matrix_band_part(chol, -1, 0)
40 return math_ops.matmul(chol, chol, adjoint_b=True).eval()
|
| /external/eigen/bench/ |
| D | sparse_cholesky.cpp | 69 SparseLLT<EigenSparseSelfAdjointMatrix,Backend> chol(sm1, flags); in doEigen() local
73 std::cout << " nnz: " << sm1.nonZeros() << " => " << chol.matrixL().nonZeros() << "\n"; in doEigen()
113 LLT<DenseMatrix> chol(m1); in main() local
119 if (!internal::isMuchSmallerThan(internal::abs(chol.matrixL()(i,j)), 0.1)) in main()
146 taucs_ccs_matrix* chol = taucs_ccs_factor_llt(&A, 0, 0); in main()
150 for (int i=chol->colptr[j]; i<chol->colptr[j+1]; ++i) in main()
151 std::cout << chol->values.d[i] << " "; in main()
|
| D | benchCholesky.cpp | 70 LLT<SquareMatrixType> chol(covMat); in benchLLT() local
71 acc += chol.matrixL().coeff(r,c); in benchLLT()
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| D | cholesky_op_test.py | 42 def _verifyCholeskyBase(self, sess, placeholder, x, chol, verification, atol): argument
43 chol_np, verification_np = sess.run([chol, verification], {placeholder: x})
45 self.assertShapeEqual(x, chol)
61 chol = linalg_ops.cholesky(placeholder)
62 verification = math_ops.matmul(chol, chol, adjoint_b=True)
63 self._verifyCholeskyBase(sess, placeholder, x, chol, verification, atol)
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | linalg_ops.py | 85 def cholesky_solve(chol, rhs, name=None): argument
119 with ops.name_scope(name, 'cholesky_solve', [chol, rhs]):
121 chol, rhs, adjoint=False, lower=True)
123 chol, y, adjoint=True, lower=True)
267 chol = _RegularizedGramianCholesky(
269 return cholesky_solve(chol, math_ops.matmul(matrix, rhs, adjoint_a=True))
273 chol = _RegularizedGramianCholesky(
275 return math_ops.matmul(matrix, cholesky_solve(chol, rhs), adjoint_a=True)
|
| D | linalg_grad.py | 228 chol = linalg_ops._RegularizedGramianCholesky(
232 z = linalg_ops.cholesky_solve(chol, grad)
252 chol = linalg_ops._RegularizedGramianCholesky(
255 grad_b = linalg_ops.cholesky_solve(chol, math_ops.matmul(a, grad))
257 tmp = linalg_ops.cholesky_solve(chol, b)
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | cholesky_op_test.py | 100 def _verifyCholeskyBase(self, sess, x, chol, verification): argument
101 chol_np, verification_np = self.evaluate([chol, verification])
103 self.assertShapeEqual(x, chol)
116 chol = linalg_ops.cholesky(x)
117 verification = math_ops.matmul(chol, chol, adjoint_b=True)
118 self._verifyCholeskyBase(sess, x, chol, verification)
262 chol = linalg_ops.cholesky(x)
263 composite_grad = gradients_impl.gradients(chol, x, grad_data)[0]
264 specialized_grad = SpecializedGrad(chol, grad_data)
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| D | linalg_ops_test.py | 65 chol = linalg_ops.cholesky(array)
68 x = linalg_ops.cholesky_solve(chol, rhs)
|
| /external/eigen/doc/special_examples/ |
| D | Tutorial_sparse_example.cpp | 26 Eigen::SimplicialCholesky<SpMat> chol(A); // performs a Cholesky factorization of A in main() local
27 …Eigen::VectorXd x = chol.solve(b); // use the factorization to solve for the given right h… in main()
|
| /external/tensorflow/tensorflow/python/ops/linalg/ |
| D | linear_operator_util.py | 220 def cholesky_solve_with_broadcast(chol, rhs, name=None): argument
222 with ops.name_scope(name, "CholeskySolveWithBroadcast", [chol, rhs]):
223 chol, rhs = broadcast_matrix_batch_dims([chol, rhs])
224 return linalg_ops.cholesky_solve(chol, rhs)
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| D | linalg_impl.py | 90 chol = gen_linalg_ops.cholesky(matrix)
92 math_ops.log(math_ops.real(array_ops.matrix_diag_part(chol))),
|
| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| D | linear_operator_util_test.py | 209 chol = rng.rand(3, 3)
211 chol_broadcast = chol + np.zeros((2, 1, 1))
214 result = linear_operator_util.cholesky_solve_with_broadcast(chol, rhs)
222 chol = rng.rand(2, 3, 3)
224 chol_broadcast = chol + np.zeros((2, 2, 1, 1))
238 chol_ph: chol,
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | wishart.py | 686 chol = linalg_ops.cholesky(scale)
687 chol = control_flow_ops.with_dependencies([
688 check_ops.assert_positive(array_ops.matrix_diag_part(chol))
689 ] if validate_args else [], chol)
693 tril=chol,
|
| /external/eigen/test/ |
| D | cholesky.cpp | 46 CholType<MatrixType,Lower> chol(symmCpy); in test_chol_update() local
47 if(chol.info()!=Success) in test_chol_update()
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.linalg.pbtxt | 81 … argspec: "args=[\'chol\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.linalg.pbtxt | 81 … argspec: "args=[\'chol\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
| D | tensorflow.pbtxt | 941 … argspec: "args=[\'chol\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
| /external/icu/icu4c/source/data/curr/ |
| D | ga.txt | 1693 few{"cholón Chósta Ríce"}
1695 one{"cholón Chósta Ríce"}
1697 two{"cholón Chósta Ríce"}
2750 few{"cholón na Salvadóire"}
2752 one{"cholón na Salvadóire"}
2754 two{"cholón na Salvadóire"}
|
| D | gd.txt | 1740 one{"cholón Chosta Rìcea"}
1742 two{"cholón Costa Rìceach"}
2712 one{"cholón Salbhadorach"}
2714 two{"cholón Salbhadorach"}
|
| /external/cldr/tools/java/org/unicode/cldr/util/data/transforms/ |
| D | internal_raw_IPA-old.txt | 35704 chol %8306
|