/external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
D | linear_operator_lower_triangular_test.py | 46 tril = linear_operator_test_util.random_tril_matrix( 50 tril = array_ops.matrix_diag_part(tril) 51 tril = math_ops.abs(tril) + 1e-1 52 tril = array_ops.matrix_diag(tril) 54 lin_op_tril = tril 64 matrix = array_ops.matrix_band_part(tril, -1, 0) 71 tril = [[1., 0.], [1., 0.]] 72 operator = linalg.LinearOperatorLowerTriangular(tril) 78 tril = [[1., 0.], [1., 1.]] 80 tril, [all …]
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D | linear_operator_addition_test.py | 196 tril = linalg.LinearOperatorLowerTriangular([[1.]]) 204 op_sum = add_operators([diag1, diag2, tril], addition_tiers=addition_tiers) 211 tril = linalg.LinearOperatorLowerTriangular([[1.]]) 221 op_sum = add_operators([diag1, diag2, tril], addition_tiers=addition_tiers) 253 tril = linalg.LinearOperatorLowerTriangular([[1.]]) 262 add_operators([diag1, diag2, tril], addition_tiers=addition_tiers) 379 tril = linalg.LinearOperatorLowerTriangular([[10., 0.], [30., 0.]]) 384 self.assertTrue(self._adder.can_add(diag, tril)) 385 operator = self._adder.add(diag, tril, "my_operator", hints)
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D | linear_operator_full_matrix_test.py | 78 tril = linear_operator_test_util.random_tril_matrix( 81 tril = array_ops.matrix_set_diag(tril, diag) 82 matrix = self.evaluate(math_ops.matmul(tril, tril, transpose_b=True))
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/external/tensorflow/tensorflow/python/ops/linalg/ |
D | linear_operator_lower_triangular.py | 110 tril, argument 141 tril=tril, 154 with ops.name_scope(name, values=[tril]): 155 self._tril = linear_operator_util.convert_nonref_to_tensor(tril, 169 def _check_tril(self, tril): argument 172 if tril.shape.ndims is not None and tril.shape.ndims < 2: 175 % tril)
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D | matmul_registrations.py | 176 tril=linop_diag.diag[..., None] * linop_triangular.to_dense(), 192 tril=linop_triangular.to_dense() * linop_diag.diag,
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D | linear_operator_test_util.py | 960 tril = random_normal(shape, dtype=dtype) 962 tril = array_ops.matrix_band_part(tril, -1, 0) 969 tril = array_ops.matrix_set_diag(tril, diag) 971 return tril
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D | solve_registrations.py | 163 tril=linop_triangular.to_dense() / linop_diag.diag[..., None],
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D | linear_operator_addition.py | 356 tril=op_add_to_tensor.add_to_tensor(op_other.to_dense()),
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/external/tensorflow/tensorflow/compiler/tests/ |
D | matrix_triangular_solve_op_test.py | 59 clean_a = np.tril(a) if lower else np.triu(a) 81 a = np.tril(rng.randn(5, 5)) 101 a = np.tril(rng.randn(5, 5) + rng.randn(5, 5) * 1j) 113 a = np.tril(rng.rand(*a_shape) - 0.5) / (2.0 * n) + np.eye(n) 125 a = np.tril(rng.rand(*a_shape) - 0.5) / (2.0 * n) + np.eye(n) 133 a = np.tril(rng.rand(n, n) - 0.5) / (2.0 * n) + np.eye(n)
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D | matrix_band_part_test.py | 185 band_np = np.tril(band_np, upper)
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D | cholesky_op_test.py | 53 self.assertAllClose(chol_matrix, np.tril(chol_matrix), atol=atol)
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/external/icu/icu4c/source/data/locales/ |
D | ro.txt | 147 few{"0 tril'.' ¤"} 148 one{"0 tril'.' ¤"} 149 other{"0 tril'.' ¤"} 152 few{"00 tril'.' ¤"} 153 one{"00 tril'.' ¤"} 154 other{"00 tril'.' ¤"} 157 few{"000 tril'.' ¤"} 158 one{"000 tril'.' ¤"} 159 other{"000 tril'.' ¤"} 209 few{"0 tril'.'"} [all …]
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | lu_op_test.py | 137 complex_data = np.tril(1j * data, -1).astype(dtype) 158 complex_data = np.tril(1j * data, -1).astype(dtype)
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D | matrix_band_part_op_test.py | 58 band_np = np.tril(band_np, upper)
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D | cholesky_op_test.py | 103 self.assertAllClose(chol_matrix, np.tril(chol_matrix)) 120 complex_data = np.tril(1j * data, -1).astype(dtype)
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D | matrix_triangular_solve_op_test.py | 64 a_np = np.tril(a)
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.linalg.-linear-operator-lower-triangular.pbtxt | 87 …argspec: "args=[\'self\', \'tril\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_defini…
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.linalg.-linear-operator-lower-triangular.pbtxt | 87 …argspec: "args=[\'self\', \'tril\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_defini…
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/external/tensorflow/tensorflow/python/ops/ |
D | linalg_grad.py | 517 tril = array_ops.matrix_band_part(qdq_ + rdr_, -1, 0) 519 grad_a = math_ops.matmul(q, dr + _TriangularSolve(tril, r))
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/external/cldr/common/testData/transforms/ |
D | und-Latn-t-und-orya.txt | 388 ତ୍ରିଲୂକାମନ୍ trilūkāman 389 ତ୍ରିଲୋକ୍ trilōk
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D | und-Latn-t-und-taml.txt | 617 த்ரிலோகேஷ trilōkēṣa 618 த்ரிலோசந trilōcana
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D | und-Latn-t-und-telu.txt | 507 త్రిలోకేశ trilōkēśa 508 త్రిలోచనా trilōcanā
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/external/tensorflow/tensorflow/python/kernel_tests/linalg/sparse/ |
D | csr_sparse_matrix_ops_test.py | 1132 dense_matrix += 0.5j * np.tril(dense_matrix, -1) 1153 np.conjugate(np.transpose(np.tril(dense_matrix, -1))))
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/external/tensorflow/third_party/py/numpy/tf_numpy_api/ |
D | tensorflow.experimental.numpy.pbtxt | 868 name: "tril"
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/external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
D | util_test.py | 704 return np.triu(y) if upper else np.tril(y)
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