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Python theano.foldl方法代码示例

本文整理汇总了Python中theano.foldl方法的典型用法代码示例。如果您正苦于以下问题:Python theano.foldl方法的具体用法?Python theano.foldl怎么用?Python theano.foldl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theano的用法示例。


在下文中一共展示了theano.foldl方法的4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: foldl

# 需要导入模块: import theano [as 别名]
# 或者: from theano import foldl [as 别名]
def foldl(fn, elems, initializer=None, name=None):
    '''Reduce elems using fn to combine them from left to right.

    # 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[0] in case of None)
        name: A string name for the foldl node in the graph

    # Returns
        Same type and shape as initializer
    '''
    if initializer is None:
        initializer = elems[0]
        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.foldl(fn2, elems, initializer, name=name)[0] 
开发者ID:lingluodlut,项目名称:Att-ChemdNER,代码行数:24,代码来源:theano_backend.py

示例2: accuracy_instance

# 需要导入模块: import theano [as 别名]
# 或者: from theano import foldl [as 别名]
def accuracy_instance(predictions, targets, n=[1, 2, 3, 4, 5, 10], \
        nb_classes=5, nb_samples_per_class=10, batch_size=1):
    accuracy_0 = theano.shared(np.zeros((batch_size, nb_samples_per_class), \
        dtype=theano.config.floatX))
    indices_0 = theano.shared(np.zeros((batch_size, nb_classes), \
        dtype=np.int32))
    batch_range = T.arange(batch_size)
    def step_(p, t, acc, idx):
        acc = T.inc_subtensor(acc[batch_range, idx[batch_range, t]], T.eq(p, t))
        idx = T.inc_subtensor(idx[batch_range, t], 1)
        return (acc, idx)
    (raw_accuracy, _), _ = theano.foldl(step_, sequences=[predictions.dimshuffle(1, 0), \
        targets.dimshuffle(1, 0)], outputs_info=[accuracy_0, indices_0])
    accuracy = T.mean(raw_accuracy / nb_classes, axis=0)

    return accuracy 
开发者ID:tristandeleu,项目名称:ntm-one-shot,代码行数:18,代码来源:metrics.py

示例3: foldl

# 需要导入模块: import theano [as 别名]
# 或者: from theano import foldl [as 别名]
def foldl(fn, elems, initializer=None, name=None):
    """Reduce elems using fn to combine them from left to right.

    # 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[0] in case of None)
        name: A string name for the foldl node in the graph

    # Returns
        Same type and shape as initializer
    """
    if initializer is None:
        initializer = elems[0]
        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.foldl(lambda x, acc: fn(acc, x),
                        elems, initializer, name=name)[0] 
开发者ID:Relph1119,项目名称:GraphicDesignPatternByPython,代码行数:23,代码来源:theano_backend.py

示例4: foldl

# 需要导入模块: import theano [as 别名]
# 或者: from theano import foldl [as 别名]
def foldl(fn, elems, initializer=None, name=None):
    """Reduce elems using fn to combine them from left to right.

    # 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[0] in case of None)
        name: A string name for the foldl node in the graph

    # Returns
        Same type and shape as initializer
    """
    if initializer is None:
        initializer = elems[0]
        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.foldl(fn2, elems, initializer, name=name)[0] 
开发者ID:sunilmallya,项目名称:keras-lambda,代码行数:24,代码来源:theano_backend.py


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