本文整理匯總了Python中tensorflow.python.ops.rnn_cell.DropoutWrapper方法的典型用法代碼示例。如果您正苦於以下問題：Python rnn_cell.DropoutWrapper方法的具體用法？Python rnn_cell.DropoutWrapper怎麽用？Python rnn_cell.DropoutWrapper使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.ops.rnn_cell的用法示例。
在下文中一共展示了rnn_cell.DropoutWrapper方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __init__
# 需要導入模塊: from tensorflow.python.ops import rnn_cell [as 別名]
# 或者: from tensorflow.python.ops.rnn_cell import DropoutWrapper [as 別名]
def __init__(self, hidden_size, keep_prob):
"""
Inputs:
hidden_size: int. Hidden size of the RNN
keep_prob: Tensor containing a single scalar that is the keep probability (for dropout)
"""
self.hidden_size = hidden_size
self.keep_prob = keep_prob
self.rnn_cell_fw = rnn_cell.GRUCell(self.hidden_size)
self.rnn_cell_fw = DropoutWrapper(self.rnn_cell_fw, input_keep_prob=self.keep_prob)
self.rnn_cell_bw = rnn_cell.GRUCell(self.hidden_size)
self.rnn_cell_bw = DropoutWrapper(self.rnn_cell_bw, input_keep_prob=self.keep_prob) 示例2: _create_rnn_cell
# 需要導入模塊: from tensorflow.python.ops import rnn_cell [as 別名]
# 或者: from tensorflow.python.ops.rnn_cell import DropoutWrapper [as 別名]
def _create_rnn_cell(self):
cell = GRUCell(self.cfg.num_units) if self.cfg.cell_type == "gru" else LSTMCell(self.cfg.num_units)
if self.cfg.use_dropout:
cell = DropoutWrapper(cell, output_keep_prob=self.keep_prob)
if self.cfg.use_residual:
cell = ResidualWrapper(cell)
return cell 示例3: _create_single_rnn_cell
# 需要導入模塊: from tensorflow.python.ops import rnn_cell [as 別名]
# 或者: from tensorflow.python.ops.rnn_cell import DropoutWrapper [as 別名]
def _create_single_rnn_cell(self, num_units):
cell = GRUCell(num_units) if self.cfg["cell_type"] == "gru" else LSTMCell(num_units)
if self.cfg["use_dropout"]:
cell = DropoutWrapper(cell, output_keep_prob=self.rnn_keep_prob)
if self.cfg["use_residual"]:
cell = ResidualWrapper(cell)
return cell