#   Copyright (c) 2020 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.

# TODO: define the initializers to create a Parameter in neural network
from ...fluid.initializer import Bilinear  # noqa: F401
from ...fluid.initializer import set_global_initializer  # noqa: F401
from ...fluid.initializer import calculate_gain  # noqa: F401

from .constant import Constant  # noqa: F401

from .kaiming import KaimingNormal  # noqa: F401
from .kaiming import KaimingUniform  # noqa: F401

from .xavier import XavierNormal  # noqa: F401
from .xavier import XavierUniform  # noqa: F401

from .assign import Assign  # noqa: F401

from .normal import Normal  # noqa: F401
from .normal import TruncatedNormal  # noqa: F401

from .uniform import Uniform  # noqa: F401

from .orthogonal import Orthogonal  # noqa: F401

from .dirac import Dirac  # noqa: F401

__all__ = [     #noqa
           'Bilinear',
           'Constant',
           'KaimingUniform',
           'KaimingNormal',
           'XavierNormal',
           'XavierUniform',
           'Assign',
           'Normal',
           'TruncatedNormal',
           'Uniform',
           'Orthogonal',
           'Dirac',
           'set_global_initializer',
           'calculate_gain'
]