本文整理汇总了Python中theano.foldr方法的典型用法代码示例。如果您正苦于以下问题：Python theano.foldr方法的具体用法？Python theano.foldr怎么用？Python theano.foldr使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类theano的用法示例。
在下文中一共展示了theano.foldr方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: foldr
# 需要导入模块: import theano [as 别名]
# 或者: from theano import foldr [as 别名]
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
'''
if initializer is None:
initializer = elems[-1]
elems = elems[:-1]
# We need to change the order of the arguments because theano accepts x as
# first parameter and accumulator as second
fn2 = lambda x, acc: fn(acc, x)
return theano.foldr(fn2, elems, initializer, name=name)[0] 示例2: foldr
# 需要导入模块: import theano [as 别名]
# 或者: from theano import foldr [as 别名]
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
"""
if initializer is None:
initializer = elems[-1]
elems = elems[:-1]
# We need to change the order of the arguments because theano accepts x as
# first parameter and accumulator as second
return theano.foldr(lambda x, acc: fn(acc, x),
elems, initializer, name=name)[0] 示例3: foldr
# 需要导入模块: import theano [as 别名]
# 或者: from theano import foldr [as 别名]
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
"""
if initializer is None:
initializer = elems[-1]
elems = elems[:-1]
# We need to change the order of the arguments because theano accepts x as
# first parameter and accumulator as second
fn2 = lambda x, acc: fn(acc, x)
return theano.foldr(fn2, elems, initializer, name=name)[0]