def __init__(self, cell, input_keep_prob=1.0, output_keep_prob=1.0,
seed=None, is_train=None):
"""Create a cell with added input and/or output dropout.
Dropout is never used on the state.
Args:
cell: an RNNCell, a projection to output_size is added to it.
input_keep_prob: unit Tensor or float between 0 and 1, input keep
probability; if it is float and 1, no input dropout will be added.
output_keep_prob: unit Tensor or float between 0 and 1, output keep
probability; if it is float and 1, no output dropout will be added.
seed: (optional) integer, the randomness seed.
is_train: boolean tensor (often placeholder). If indicated, then when
is_train is False, dropout is not applied.
Raises:
TypeError: if cell is not an RNNCell.
ValueError: if keep_prob is not between 0 and 1.
"""
if not isinstance(cell, RNNCell):
raise TypeError("The parameter cell is not a RNNCell.")
if (isinstance(input_keep_prob, float) and
not (input_keep_prob >= 0.0 and input_keep_prob <= 1.0)):
raise ValueError("Parameter input_keep_prob must be between 0 and 1: %d"
% input_keep_prob)
if (isinstance(output_keep_prob, float) and
not (output_keep_prob >= 0.0 and output_keep_prob <= 1.0)):
raise ValueError("Parameter input_keep_prob must be between 0 and 1: %d"
% output_keep_prob)
self._cell = cell
self._input_keep_prob = input_keep_prob
self._output_keep_prob = output_keep_prob
self._seed = seed
self._is_train = is_train
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