# Copyright 2020 The TensorFlow Probability Authors.
#
# 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.
# ============================================================================
"""Initializer functions for building neural networks."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow_probability.python.experimental.nn.initializers.initializers import glorot_normal
from tensorflow_probability.python.experimental.nn.initializers.initializers import glorot_uniform
from tensorflow_probability.python.experimental.nn.initializers.initializers import he_normal
from tensorflow_probability.python.experimental.nn.initializers.initializers import he_uniform

from tensorflow.python.util.all_util import remove_undocumented  # pylint: disable=g-direct-tensorflow-import

_allowed_symbols = [
    'glorot_normal',
    'glorot_uniform',
    'he_normal',
    'he_uniform',
]

remove_undocumented(__name__, _allowed_symbols)