我正在Tensorflow中构建简单的seq2seq程序：
x_ = [ tf.placeholder(tf.int32, shape=[None,], name='x{}'.format(i)) for i in range(xseq_len)]
y_ = [ tf.placeholder(tf.int32, shape=[None,], name='y{}'.format(i)) for i in range(yseq_len)]
decoder_inputs = [tf.zeros_like(x_[0], dtype=tf.int32, name = "GO")] + y_[:-1]
keep_prob = tf.placeholder(tf.float32)
basic_cell = tf.contrib.rnn.DropoutWrapper(tf.contrib.rnn.BasicLSTMCell(emb_dim),output_keep_prob=keep_prob)
stacked_lstm = tf.nn.rnn_cell.MultiRNNCell([basic_cell]*3)
with tf.variable_scope('decoder') as scope:
decode_outputs, decode_states = seq2seq.embedding_rnn_seq2seq(x_,decoder_inputs, stacked_lstm,
xvocab_size, yvocab_size, emb_dim)
scope.reuse_variables()
# # testing
#decode_outputs_test, decode_states_test = #seq2seq.embedding_rnn_seq2seq(
#x_, decoder_inputs, stacked_lstm, xvocab_size, #yvocab_size,emb_dim,
#feed_previous=True)
如果我不使用最后一行，但如果我使用最后一行，则工作正常：
decode_outputs_test, decode_states_test = seq2seq.embedding_rnn_seq2seq(
x_, decoder_inputs, stacked_lstm, xvocab_size, yvocab_size,emb_dim,
feed_previous=True)
如果我正在运行此单元格，则会出现此错误：
TypeError Traceback (most recent call last)
<ipython-input-33-fdcec2f6b94d> in <module>()
15 decode_outputs_test, decode_states_test = seq2seq.embedding_rnn_seq2seq(
16 x_, decoder_inputs, stacked_lstm, xvocab_size, yvocab_size,emb_dim,
---> 17 feed_previous=True)
//anaconda/lib/python3.5/site-packages/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py in embedding_rnn_seq2seq(encoder_inputs, decoder_inputs, cell, num_encoder_symbols, num_decoder_symbols, embedding_size, output_projection, feed_previous, dtype, scope)
356
357 # Encoder.
--> 358 encoder_cell = copy.deepcopy(cell)
359 encoder_cell = core_rnn_cell.EmbeddingWrapper(
360 encoder_cell,
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
164 copier = getattr(x, "__deepcopy__", None)
165 if copier:
--> 166 y = copier(memo)
167 else:
168 reductor = dispatch_table.get(cls)
//anaconda/lib/python3.5/site-packages/tensorflow/python/layers/base.py in __deepcopy__(self, memo)
653 setattr(result, k, v)
654 else:
--> 655 setattr(result, k, copy.deepcopy(v, memo))
656 return result
657
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_list(x, memo)
216 memo[id(x)] = y
217 for a in x:
--> 218 y.append(deepcopy(a, memo))
219 return y
220 d[list] = _deepcopy_list
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
180 raise Error(
181 "un(deep)copyable object of type %s" % cls)
--> 182 y = _reconstruct(x, rv, 1, memo)
183
184 # If is its own copy, don't memoize.
//anaconda/lib/python3.5/copy.py in _reconstruct(x, info, deep, memo)
295 if state is not None:
296 if deep:
--> 297 state = deepcopy(state, memo)
298 if hasattr(y, '__setstate__'):
299 y.__setstate__(state)
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_dict(x, memo)
241 memo[id(x)] = y
242 for key, value in x.items():
--> 243 y[deepcopy(key, memo)] = deepcopy(value, memo)
244 return y
245 d[dict] = _deepcopy_dict
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
180 raise Error(
181 "un(deep)copyable object of type %s" % cls)
--> 182 y = _reconstruct(x, rv, 1, memo)
183
184 # If is its own copy, don't memoize.
//anaconda/lib/python3.5/copy.py in _reconstruct(x, info, deep, memo)
295 if state is not None:
296 if deep:
--> 297 state = deepcopy(state, memo)
298 if hasattr(y, '__setstate__'):
299 y.__setstate__(state)
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_dict(x, memo)
241 memo[id(x)] = y
242 for key, value in x.items():
--> 243 y[deepcopy(key, memo)] = deepcopy(value, memo)
244 return y
245 d[dict] = _deepcopy_dict
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
180 raise Error(
181 "un(deep)copyable object of type %s" % cls)
--> 182 y = _reconstruct(x, rv, 1, memo)
183
184 # If is its own copy, don't memoize.
//anaconda/lib/python3.5/copy.py in _reconstruct(x, info, deep, memo)
295 if state is not None:
296 if deep:
--> 297 state = deepcopy(state, memo)
298 if hasattr(y, '__setstate__'):
299 y.__setstate__(state)
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_dict(x, memo)
241 memo[id(x)] = y
242 for key, value in x.items():
--> 243 y[deepcopy(key, memo)] = deepcopy(value, memo)
244 return y
245 d[dict] = _deepcopy_dict
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_dict(x, memo)
241 memo[id(x)] = y
242 for key, value in x.items():
--> 243 y[deepcopy(key, memo)] = deepcopy(value, memo)
244 return y
245 d[dict] = _deepcopy_dict
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
180 raise Error(
181 "un(deep)copyable object of type %s" % cls)
--> 182 y = _reconstruct(x, rv, 1, memo)
183
184 # If is its own copy, don't memoize.
//anaconda/lib/python3.5/copy.py in _reconstruct(x, info, deep, memo)
295 if state is not None:
296 if deep:
--> 297 state = deepcopy(state, memo)
298 if hasattr(y, '__setstate__'):
299 y.__setstate__(state)
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_dict(x, memo)
241 memo[id(x)] = y
242 for key, value in x.items():
--> 243 y[deepcopy(key, memo)] = deepcopy(value, memo)
244 return y
245 d[dict] = _deepcopy_dict
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_list(x, memo)
216 memo[id(x)] = y
217 for a in x:
--> 218 y.append(deepcopy(a, memo))
219 return y
220 d[list] = _deepcopy_list
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_tuple(x, memo)
221
222 def _deepcopy_tuple(x, memo):
--> 223 y = [deepcopy(a, memo) for a in x]
224 # We're not going to put the tuple in the memo, but it's still important we
225 # check for it, in case the tuple contains recursive mutable structures.
//anaconda/lib/python3.5/copy.py in <listcomp>(.0)
221
222 def _deepcopy_tuple(x, memo):
--> 223 y = [deepcopy(a, memo) for a in x]
224 # We're not going to put the tuple in the memo, but it's still important we
225 # check for it, in case the tuple contains recursive mutable structures.
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_dict(x, memo)
241 memo[id(x)] = y
242 for key, value in x.items():
--> 243 y[deepcopy(key, memo)] = deepcopy(value, memo)
244 return y
245 d[dict] = _deepcopy_dict
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
180 raise Error(
181 "un(deep)copyable object of type %s" % cls)
--> 182 y = _reconstruct(x, rv, 1, memo)
183
184 # If is its own copy, don't memoize.
//anaconda/lib/python3.5/copy.py in _reconstruct(x, info, deep, memo)
295 if state is not None:
296 if deep:
--> 297 state = deepcopy(state, memo)
298 if hasattr(y, '__setstate__'):
299 y.__setstate__(state)
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
153 copier = _deepcopy_dispatch.get(cls)
154 if copier:
--> 155 y = copier(x, memo)
156 else:
157 try:
//anaconda/lib/python3.5/copy.py in _deepcopy_dict(x, memo)
241 memo[id(x)] = y
242 for key, value in x.items():
--> 243 y[deepcopy(key, memo)] = deepcopy(value, memo)
244 return y
245 d[dict] = _deepcopy_dict
//anaconda/lib/python3.5/copy.py in deepcopy(x, memo, _nil)
172 reductor = getattr(x, "__reduce_ex__", None)
173 if reductor:
--> 174 rv = reductor(4)
175 else:
176 reductor = getattr(x, "__reduce__", None)
TypeError: cannot serialize '_io.TextIOWrapper' object
我试图找到答案，我发现this的意思是，不要使用相同的名称，而且我在任何地方都没有使用相同的名称，所以我无法解决该问题？