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我已经在不同名称范围内重用变量的问题。下面的代码将源代码嵌入和目标嵌入分离到两个不同的空间中，我想要做的是将源代码和目标代码放在同一个空间中，重用查找表中的变量。Tensorflow在不同名称范围内重用变量
''' Applying bidirectional encoding for source-side inputs and first-word decoding.
'''
def decode_first_word(self, source_vocab_id_tensor, source_mask_tensor, scope, reuse):
with tf.name_scope('Word_Embedding_Layer'):
with tf.variable_scope('Source_Side'):
source_embedding_tensor = self._src_lookup_table(source_vocab_id_tensor)
with tf.name_scope('Encoding_Layer'):
source_concated_hidden_tensor = self._encoder.get_biencoded_tensor(\
source_embedding_tensor, source_mask_tensor)
with tf.name_scope('Decoding_Layer_First'):
rvals = self.decode_next_word(source_concated_hidden_tensor, source_mask_tensor, \
None, None, None, scope, reuse)
return rvals + [source_concated_hidden_tensor]
''' Applying one-step decoding.
'''
def decode_next_word(self, enc_concat_hidden, src_mask, cur_dec_hidden, \
cur_trg_wid, trg_mask=None, scope=None, reuse=False, \
src_side_pre_act=None):
with tf.name_scope('Word_Embedding_Layer'):
with tf.variable_scope('Target_Side'):
cur_trg_wemb = None
if None == cur_trg_wid:
pass
else:
cur_trg_wemb = self._trg_lookup_table(cur_trg_wid)
我想让他们如下，所以只会出现在全图中的一个节点嵌入：
def decode_first_word_shared_embedding(self, source_vocab_id_tensor, source_mask_tensor, scope, reuse):
with tf.name_scope('Word_Embedding_Layer'):
with tf.variable_scope('Bi_Side'):
source_embedding_tensor = self._bi_lookup_table(source_vocab_id_tensor)
with tf.name_scope('Encoding_Layer'):
source_concated_hidden_tensor = self._encoder.get_biencoded_tensor(\
source_embedding_tensor, source_mask_tensor)
with tf.name_scope('Decoding_Layer_First'):
rvals = self.decode_next_word_shared_embedding(source_concated_hidden_tensor, source_mask_tensor, \
None, None, None, scope, reuse)
return rvals + [source_concated_hidden_tensor]
def decode_next_word_shared_embedding(self, enc_concat_hidden, src_mask, cur_dec_hidden, \
cur_trg_wid, trg_mask=None, scope=None, reuse=False, \
src_side_pre_act=None):
with tf.name_scope('Word_Embedding_Layer'):
cur_trg_wemb = None
if None == cur_trg_wid:
pass
else:
with tf.variable_scope('Bi_Side'):
cur_trg_wemb = self._bi_lookup_table(cur_trg_wid)
如何实现这一目标？