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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .tensor import inverse as inv # noqa: F401
from .tensor.linalg import cholesky # noqa: F401
from .tensor.linalg import cholesky_solve # noqa: F401
from .tensor.linalg import cond # noqa: F401
from .tensor.linalg import corrcoef # noqa: F401
from .tensor.linalg import cov # noqa: F401
from .tensor.linalg import det # noqa: F401
from .tensor.linalg import eig # noqa: F401
from .tensor.linalg import eigh # noqa: F401
from .tensor.linalg import eigvals # noqa: F401
from .tensor.linalg import eigvalsh # noqa: F401
from .tensor.linalg import lu # noqa: F401
from .tensor.linalg import lu_unpack # noqa: F401
from .tensor.linalg import matrix_power # noqa: F401
from .tensor.linalg import matrix_rank # noqa: F401
from .tensor.linalg import multi_dot # noqa: F401
from .tensor.linalg import norm # noqa: F401
from .tensor.linalg import pca_lowrank # noqa: F401
from .tensor.linalg import pinv # noqa: F401
from .tensor.linalg import qr # noqa: F401
from .tensor.linalg import slogdet # noqa: F401
from .tensor.linalg import solve # noqa: F401
from .tensor.linalg import svd # noqa: F401
from .tensor.linalg import triangular_solve # noqa: F401
from .tensor.linalg import lstsq
__all__ = [
'cholesky', # noqa
'norm',
'cond',
'cov',
'corrcoef',
'inv',
'eig',
'eigvals',
'multi_dot',
'matrix_rank',
'svd',
'qr',
'pca_lowrank',
'lu',
'lu_unpack',
'matrix_power',
'det',
'slogdet',
'eigh',
'eigvalsh',
'pinv',
'solve',
'cholesky_solve',
'triangular_solve',
'lstsq',
]
