本文整理汇总了Python中miscc.config.cfg.RNN_TYPE属性的典型用法代码示例。如果您正苦于以下问题：Python cfg.RNN_TYPE属性的具体用法？Python cfg.RNN_TYPE怎么用？Python cfg.RNN_TYPE使用的例子？那么恭喜您, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类miscc.config.cfg的用法示例。
在下文中一共展示了cfg.RNN_TYPE属性的2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: __init__
# 需要导入模块: from miscc.config import cfg [as 别名]
# 或者: from miscc.config.cfg import RNN_TYPE [as 别名]
def __init__(self, ntoken, ninput=300, drop_prob=0.5,
nhidden=128, nlayers=1, bidirectional=True):
super(RNN_ENCODER, self).__init__()
self.n_steps = cfg.TEXT.WORDS_NUM
self.ntoken = ntoken # size of the dictionary
self.ninput = ninput # size of each embedding vector
self.drop_prob = drop_prob # probability of an element to be zeroed
self.nlayers = nlayers # Number of recurrent layers
self.bidirectional = bidirectional
self.rnn_type = cfg.RNN_TYPE
if bidirectional:
self.num_directions = 2
else:
self.num_directions = 1
# number of features in the hidden state
self.nhidden = nhidden // self.num_directions
self.define_module()
self.init_weights() 示例2: __init__
# 需要导入模块: from miscc.config import cfg [as 别名]
# 或者: from miscc.config.cfg import RNN_TYPE [as 别名]
def __init__(self, ntoken, ninput=300, drop_prob=0.5,
nhidden=128, nlayers=1, bidirectional=True):
super(RNN_ENCODER, self).__init__()
self.n_steps = cfg.TEXT.WORDS_NUM
self.rnn_type = cfg.RNN_TYPE
self.ntoken = ntoken # size of the dictionary
self.ninput = ninput # size of each embedding vector
self.drop_prob = drop_prob # probability of an element to be zeroed
self.nlayers = nlayers # Number of recurrent layers
self.bidirectional = bidirectional
if bidirectional:
self.num_directions = 2
else:
self.num_directions = 1
# number of features in the hidden state
self.nhidden = nhidden // self.num_directions
self.define_module()
self.init_weights()