Python 运行Tensorflow序列到序列教程时出错

按照顺序到顺序教程中的说明操作时，我收到以下错误消息：

当我跑的时候

python translate.py --data-dir [your data directory]

当脚本创建层时，我最终得到以下错误：

AttributeError: 'NoneType' object has no attribute 'update'

（下面是完整的堆栈跟踪）

系统信息：

• macOS 10.12.5
• Python 3.5.3
• Tensorflow 1.2.0
• Tensorflow通过管道（9.0.1）安装在康达（4.3.21）内

此外，WMT数据已被下载和处理。我下载了教程中指定的英语到法语的数据

任何帮助都将不胜感激

Preparing WMT data in /tmp
2017-06-16 09:28:44.185353: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-06-16 09:28:44.185383: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-06-16 09:28:44.185388: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-06-16 09:28:44.185393: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Creating 3 layers of 1024 units.
Traceback (most recent call last):
 File "translate.py", line 322, in <module>
   tf.app.run()
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 48, in run
   _sys.exit(main(_sys.argv[:1] + flags_passthrough))
 File "translate.py", line 319, in main
   train()
 File "translate.py", line 178, in train
   model = create_model(sess, False)
 File "translate.py", line 136, in create_model
   dtype=dtype)
 File "/Users/<redacted>/models/tutorials/rnn/translate/seq2seq_model.py", line 179, in __init__
   softmax_loss_function=softmax_loss_function)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/site-packages/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py", line 1206, in model_with_buckets
   decoder_inputs[:bucket[1]])
 File "/Users/<redacted>/models/tutorials/rnn/translate/seq2seq_model.py", line 178, in <lambda>
  lambda x, y: seq2seq_f(x, y, False),
 File "/Users/<redacted>/models/tutorials/rnn/translate/seq2seq_model.py", line 142, in seq2seq_f
  dtype=dtype)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/site-packages/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py", line 848, in embedding_attention_seq2seq
  encoder_cell = copy.deepcopy(cell)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 166, in deepcopy
  y = copier(memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/site-packages/tensorflow/python/layers/base.py", line 476, in __deepcopy__
  setattr(result, k, copy.deepcopy(v, memo))
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 218, in _deepcopy_list
  y.append(deepcopy(a, memo))
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 182, in deepcopy
  y = _reconstruct(x, rv, 1, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 297, in _reconstruct
  state = deepcopy(state, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 243, in _deepcopy_dict
  y[deepcopy(key, memo)] = deepcopy(value, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 182, in deepcopy
  y = _reconstruct(x, rv, 1, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 297, in _reconstruct
  state = deepcopy(state, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 243, in _deepcopy_dict
  y[deepcopy(key, memo)] = deepcopy(value, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 218, in _deepcopy_list
  y.append(deepcopy(a, memo))
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 182, in deepcopy
  y = _reconstruct(x, rv, 1, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 297, in _reconstruct
  state = deepcopy(state, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 243, in _deepcopy_dict
  y[deepcopy(key, memo)] = deepcopy(value, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 218, in _deepcopy_list
  y.append(deepcopy(a, memo))
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 223, in _deepcopy_tuple
  y = [deepcopy(a, memo) for a in x]
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 223, in <listcomp>
  y = [deepcopy(a, memo) for a in x]
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 243, in _deepcopy_dict
  y[deepcopy(key, memo)] = deepcopy(value, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 182, in deepcopy
  y = _reconstruct(x, rv, 1, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 297, in _reconstruct
  state = deepcopy(state, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 243, in _deepcopy_dict
  y[deepcopy(key, memo)] = deepcopy(value, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 182, in deepcopy
  y = _reconstruct(x, rv, 1, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 297, in _reconstruct
  state = deepcopy(state, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 155, in deepcopy
  y = copier(x, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 243, in _deepcopy_dict
  y[deepcopy(key, memo)] = deepcopy(value, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 182, in deepcopy
  y = _reconstruct(x, rv, 1, memo)
 File "/Users/<redacted>/anaconda/envs/tf/lib/python3.5/copy.py", line 306, in _reconstruct
  y.__dict__.update(state)
AttributeError: 'NoneType' object has no attribute 'update'

在/tmp中准备WMT数据
2017-06-16 09:28:44.185353:W tensorflow/core/platform/cpu_feature_guard.cc:45]tensorflow库的编译不是为了使用SSE4.2指令，但这些指令在您的机器上可用，可以加快cpu计算。
2017-06-16 09:28:44.185383:W tensorflow/core/platform/cpu_feature_guard.cc:45]tensorflow库的编译不是为了使用AVX指令，但这些指令在您的机器上可用，可以加快cpu计算。
2017-06-16 09:28:44.185388:W tensorflow/core/platform/cpu_feature_guard.cc:45]tensorflow库的编译不是为了使用AVX2指令，但这些指令在您的机器上可用，可以加快cpu计算。
2017-06-16 09:28:44.185393:W tensorflow/core/platform/cpu_feature_guard.cc:45]tensorflow库的编译不是为了使用FMA指令，但这些指令在您的机器上可用，可以加快cpu计算。
创建3层1024个单元。
回溯（最近一次呼叫最后一次）：
文件“translate.py”，第322行，在
tf.app.run（）
文件“/Users//anaconda/envs/tf/lib/python3.5/site packages/tensorflow/python/platform/app.py”，第48行，运行中
_系统出口（主（_sys.argv[：1]+标志_passthrough））
文件“translate.py”，第319行，在main中
列车（）
列中第178行的文件“translate.py”
模型=创建模型（sess，False）
文件“translate.py”，第136行，在create_模型中
dtype=dtype）
文件“/Users//models/tutorials/rnn/translate/seq2seq_model.py”，第179行，在__
softmax_损耗函数=softmax_损耗函数）
文件“/Users//anaconda/envs/tf/lib/python3.5/site-packages/tensorflow/contrib/legacy_-seq2seq/python/ops/seq2seq.py”，第1206行，模型中带桶
解码器_输入[：bucket[1]]）
文件“/Users//models/tutorials/rnn/translate/seq2seq_model.py”，第178行，中
λx，y:seq2seq_f（x，y，False），
文件“/Users//models/tutorials/rnn/translate/seq2seq_model.py”，第142行，在seq2seq_f中
dtype=dtype）
文件“/Users//anaconda/envs/tf/lib/python3.5/site packages/tensorflow/contrib/legacy_-seq2seq/python/ops/seq2seq.py”，第848行，嵌入_-attention_-seq2seq
编码器\单元=复制。深度复制（单元）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第166行，在deepcopy中
y=复印机（备忘录）
文件“/Users//anaconda/envs/tf/lib/python3.5/site packages/tensorflow/python/layers/base.py”，第476行，在__
setattr（结果，k，副本。深度副本（v，备忘录））
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第155行，在deepcopy中
y=复印机（x，备忘）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第218行，在深度复制列表中
y、 附加（副本（a、备忘录））
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第182行，在deepcopy中
y=_（x，rv，1，备忘录）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第297行，在
状态=深度复制（状态，备忘录）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第155行，在deepcopy中
y=复印机（x，备忘）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第243行，在dict中
y[deepcopy（key，memo）]=deepcopy（value，memo）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第182行，在deepcopy中
y=_（x，rv，1，备忘录）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第297行，在
状态=深度复制（状态，备忘录）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第155行，在deepcopy中
y=复印机（x，备忘）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第243行，在dict中
y[deepcopy（key，memo）]=deepcopy（value，memo）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第155行，在deepcopy中
y=复印机（x，备忘）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第218行，在深度复制列表中
y、 附加（副本（a、备忘录））
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第182行，在deepcopy中
y=_（x，rv，1，备忘录）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第297行，在
状态=深度复制（状态，备忘录）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第155行，在deepcopy中
y=复印机（x，备忘）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第243行，在dict中
y[deepcopy（key，memo）]=deepcopy（value，memo）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第155行，在deepcopy中
y=复印机（x，备忘）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第218行，在深度复制列表中
y、 附加（副本（a、备忘录））
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第155行，在deepcopy中
y=复印机（x，备忘）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第223行，在“deepcopy”元组中
y=[x中a的深度复制（a，备忘录）]
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第223行，在
y=[x中a的深度复制（a，备忘录）]
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第155行，在deepcopy中
y=复印机（x，备忘）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第243行，在dict中
y[deepcopy（key，memo）]=deepcopy（value，memo）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第182行，在deepcopy中
y=_（x，rv，1，备忘录）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第297行，在
状态=深度复制（状态，备忘录）
文件“/Users//anaconda/envs/tf/lib/python3.5/copy.py”，第155行，在deepcopy中
y=复印机（x，备忘）
文件“/Users//anaconda/envs/tf/