# Copyright (c) 2016 Baidu, Inc. 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.

"""
Pooling type that paddle supported. Note these pooling types are used for
sequence input, not for images.

Each PoolingType contains.

- name: pooling layer type name used by paddle.
"""

__all__ = [
    "BasePoolingType",
    "MaxPooling",
    "AvgPooling",
    "SumPooling",
    "SquareRootNPooling"
]


class BasePoolingType(object):
    """
    Base Pooling Type.
    """
    def __init__(self, name):
        self.name = name


class MaxPooling(BasePoolingType):
    """
    Max pooling.

    Return the very large values for each dimension in sequence or time steps.

    ..  math::

        max(samples\\_of\\_a\\_sequence)
    """
    def __init__(self):
        BasePoolingType.__init__(self, "max")
        

class AvgPooling(BasePoolingType):
    """
    Average pooling.

    Return the average values for each dimension in sequence or time steps.

    ..  math::

        sum(samples\\_of\\_a\\_sequence)/sample\\_num
    """
    STRATEGY_AVG = "average"
    STRATEGY_SUM = "sum"
    STRATEGY_SQROOTN = "squarerootn"

    def __init__(self, strategy=STRATEGY_AVG):
        BasePoolingType.__init__(self, "average")
        self.strategy = strategy


class SumPooling(AvgPooling):
    """
    Sum pooling.

    Return the sum values of each dimension in sequence or time steps.

    ..  math::

        sum(samples\\_of\\_a\\_sequence)
    """
    def __init__(self): AvgPooling.__init__(self, AvgPooling.STRATEGY_SUM)


class SquareRootNPooling(AvgPooling):
    """
    Square Root Pooling.

    Return the square root values of each dimension in sequence or time steps.

    ..  math::

        sum(samples\\_of\\_a\\_sequence)/sqrt(sample\\_num)
    """
    def __init__(self): AvgPooling.__init__(self, AvgPooling.STRATEGY_SQROOTN)