运行Tensorflow Sequence to Sequence Tutorial时出错

时间：2017-06-16 14:04:35

标签： python tensorflow

按照Sequence to Sequence教程中的说明操作时收到以下错误消息： https://www.tensorflow.org/tutorials/seq2seq

当我跑步时

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

当脚本创建图层时，我最终会收到以下错误：

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

（下面的完整堆栈跟踪）

系统信息：

  • macOS 10.12.5
  • Python 3.5.3
  • Tensorflow 1.2.0
  • 通过pda（9.0.1）在conda（4.3.21）
    • 内安装的Tensorflow

此外，已下载并处理WMT数据。我按照教程中的说明下载了英语到法语的数据。

非常感谢任何帮助。

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'

2 个答案:

答案 0 :(得分：5)

RNNCell的深度复制似乎存在问题，我们正在跟踪这个github错误：https://github.com/tensorflow/tensorflow/issues/8191

另外，还有一个新的TensorFlow seq2seq仓库，里面有很多模型：https://github.com/google/seq2seq如果你只对结果而不是模型感兴趣，那么我们这里有新模型：{{3对于任何情况下的错误，请注意，请查看github错误页面，了解有关该解决方案的更多详细信息。

答案 1 :(得分：3)

如果您只有一个桶，该模型似乎可以正常工作。在等待修复错误的同时，如果您只想查看一些初始结果，请在translate.py中更改4个桶的列表： _buckets = [（5,10），（10,15），（20,25），（40,50）] 只有一个桶，例如_buckets = [（10,15）]。

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