# Copyright 2016 The TensorFlow 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.
# ==============================================================================
"""Linear algebra libraries for TensorFlow.

## `LinearOperator`

Subclasses of `LinearOperator` provide a access to common methods on a
(batch) matrix, without the need to materialize the matrix.  This allows:

* Matrix free computations
* Different operators to take advantage of special strcture, while providing a
  consistent API to users.

### Base class

@@LinearOperator

### Individual operators

@@LinearOperatorDiag
@@LinearOperatorMatrix
@@LinearOperatorTriL

### Transformations and Combinations of operators

@@LinearOperatorComposition

"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

# pylint: disable=unused-import,wildcard-import,line-too-long,g-importing-member

from tensorflow.contrib.linalg.python.ops.linear_operator import *
from tensorflow.contrib.linalg.python.ops.linear_operator_composition import *
from tensorflow.contrib.linalg.python.ops.linear_operator_diag import *
from tensorflow.contrib.linalg.python.ops.linear_operator_matrix import *
from tensorflow.contrib.linalg.python.ops.linear_operator_tril import *

# pylint: enable=unused-import,wildcard-import,line-too-long,g-importing-member
