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)
python类foldr()的实例源码
tensorflow_backend.py 文件源码
项目:deep-learning-keras-projects
作者: jasmeetsb
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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)
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)
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)
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)