Python tensorflow 模块，foldr() 实例源码

我们从Python开源项目中，提取了以下5个代码示例，用于说明如何使用tensorflow.foldr()。

项目：keras 作者：GeekLiB | 项目源码 | 文件源码

def foldr(fn, elems, initializer=None, name=None):
    '''Reduce elems using fn to combine them from right to left.

    # Arguments
        fn: Callable that will be called upon each element in elems and an
            accumulator, for instance lambda acc, x: acc + x
        elems: tensor
        initializer: The first value used (elems[-1] in case of None)
        name: A string name for the foldr node in the graph

    # Returns
        Same type and shape as initializer
    '''
    return tf.foldr(fn, elems, initializer=initializer, name=name)

项目：deep-learning-keras-projects 作者：jasmeetsb | 项目源码 | 文件源码

def foldr(fn, elems, initializer=None, name=None):
    """Reduce elems using fn to combine them from right to left.

    # Arguments
        fn: Callable that will be called upon each element in elems and an
            accumulator, for instance `lambda acc, x: acc + x`
        elems: tensor
        initializer: The first value used (`elems[-1]` in case of None)
        name: A string name for the foldr node in the graph

    # Returns
        Same type and shape as initializer
    """
    return tf.foldr(fn, elems, initializer=initializer, name=name)

项目：keras-customized 作者：ambrite | 项目源码 | 文件源码

def foldr(fn, elems, initializer=None, name=None):
    '''Reduce elems using fn to combine them from right to left.

    # Arguments
        fn: Callable that will be called upon each element in elems and an
            accumulator, for instance lambda acc, x: acc + x
        elems: tensor
        initializer: The first value used (elems[-1] in case of None)
        name: A string name for the foldr node in the graph

    # Returns
        Same type and shape as initializer
    '''
    return tf.foldr(fn, elems, initializer=initializer, name=name)

项目：keras 作者：NVIDIA | 项目源码 | 文件源码

def foldr(fn, elems, initializer=None, name=None):
    """Reduce elems using fn to combine them from right to left.

    # Arguments
        fn: Callable that will be called upon each element in elems and an
            accumulator, for instance `lambda acc, x: acc + x`
        elems: tensor
        initializer: The first value used (`elems[-1]` in case of None)
        name: A string name for the foldr node in the graph

    # Returns
        Same type and shape as initializer
    """
    return tf.foldr(fn, elems, initializer=initializer, name=name)

项目：keras_superpixel_pooling 作者：parag2489 | 项目源码 | 文件源码

def foldr(fn, elems, initializer=None, name=None):
    """Reduce elems using fn to combine them from right to left.

    # Arguments
        fn: Callable that will be called upon each element in elems and an
            accumulator, for instance `lambda acc, x: acc + x`
        elems: tensor
        initializer: The first value used (`elems[-1]` in case of None)
        name: A string name for the foldr node in the graph

    # Returns
        Same type and shape as initializer
    """
    return tf.foldr(fn, elems, initializer=initializer, name=name)