本文整理汇总了Python中blocks.bricks.recurrent.GatedRecurrent.initial_states方法的典型用法代码示例。如果您正苦于以下问题：Python GatedRecurrent.initial_states方法的具体用法？Python GatedRecurrent.initial_states怎么用？Python GatedRecurrent.initial_states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类blocks.bricks.recurrent.GatedRecurrent的用法示例。
在下文中一共展示了GatedRecurrent.initial_states方法的1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: Parrot
# 需要导入模块: from blocks.bricks.recurrent import GatedRecurrent [as 别名]
# 或者: from blocks.bricks.recurrent.GatedRecurrent import initial_states [as 别名]
#.........这里部分代码省略.........
self.out_to_h1]
if self.raw_output:
self.sampleRnn = SampleRnn()
self.children += [self.sampleRnn]
def _allocate(self):
self.initial_w = shared_floatx_zeros(
(self.encoded_input_dim,), name="initial_w")
add_role(self.initial_w, INITIAL_STATE)
def symbolic_input_variables(self):
features = tensor.tensor3('features')
features_mask = tensor.matrix('features_mask')
labels = tensor.imatrix('labels')
labels_mask = tensor.matrix('labels_mask')
start_flag = tensor.scalar('start_flag')
if self.use_speaker:
speaker = tensor.imatrix('speaker_index')
else:
speaker = None
if self.raw_output:
raw_sequence = tensor.itensor3('raw_audio')
else:
raw_sequence = None
return features, features_mask, labels, labels_mask, \
speaker, start_flag, raw_sequence
def initial_states(self, batch_size):
initial_h1 = self.rnn1.initial_states(batch_size)
initial_h2 = self.rnn2.initial_states(batch_size)
initial_h3 = self.rnn3.initial_states(batch_size)
last_h1 = shared_floatx_zeros((batch_size, self.rnn_h_dim))
last_h2 = shared_floatx_zeros((batch_size, self.rnn_h_dim))
last_h3 = shared_floatx_zeros((batch_size, self.rnn_h_dim))
# Defining for all
initial_k = tensor.zeros(
(batch_size, self.attention_size), dtype=floatX)
last_k = shared_floatx_zeros((batch_size, self.attention_size))
# Trainable initial state for w. Why not for k?
initial_w = tensor.repeat(self.initial_w[None, :], batch_size, 0)
last_w = shared_floatx_zeros((batch_size, self.encoded_input_dim))
return initial_h1, last_h1, initial_h2, last_h2, initial_h3, last_h3, \
initial_w, last_w, initial_k, last_k
@application
def compute_cost(
self, features, features_mask, labels, labels_mask,
speaker, start_flag, batch_size, raw_audio=None):
if speaker is None:
assert not self.use_speaker
target_features = features[1:]
mask = features_mask[1:]