我正在运行一个自定义代码来在tensorflow上训练我自己的Seq2Seq模型。我正在使用多RNN细胞和embedding_attention_seq2seq。恢复模型时出现以下错误：
2017-07-14 13:49:13.693612: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_1/basic_lstm_cell/kernel not found in checkpoint
2017-07-14 13:49:13.694491: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_1/basic_lstm_cell/bias not found in checkpoint
2017-07-14 13:49:13.695334: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_0/basic_lstm_cell/kernel not found in checkpoint
2017-07-14 13:49:13.696273: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_0/basic_lstm_cell/bias not found in checkpoint
2017-07-14 13:49:13.707633: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/Attention_0/bias not found in checkpoint
2017-07-14 13:49:13.707856: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/Attention_0/kernel not found in checkpoint
2017-07-14 13:49:13.709639: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/AttnOutputProjection/kernel not found in checkpoint
2017-07-14 13:49:13.709716: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/AttnOutputProjection/bias not found in checkpoint
2017-07-14 13:49:13.710975: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/bias not found in checkpoint
2017-07-14 13:49:13.711937: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/kernel not found in checkpoint
2017-07-14 13:49:13.712830: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/output_projection_wrapper/bias not found in checkpoint
2017-07-14 13:49:13.713814: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/output_projection_wrapper/kernel not found in checkpoint
2017-07-14 13:49:13.714627: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/output_projection_wrapper/multi_rnn_cell/cell_0/basic_lstm_cell/bias not found in checkpoint
2017-07-14 13:49:13.715429: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/output_projection_wrapper/multi_rnn_cell/cell_0/basic_lstm_cell/kernel not found in checkpoint
2017-07-14 13:49:13.716223: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/output_projection_wrapper/multi_rnn_cell/cell_1/basic_lstm_cell/bias not found in checkpoint
2017-07-14 13:49:13.717130: W tensorflow/core/framework/op_kernel.cc:1158] Not found: Key embedding_attention_seq2seq/embedding_attention_decoder/attention_decoder/output_projection_wrapper/multi_rnn_cell/cell_1/basic_lstm_cell/kernel not found in checkpoint
Traceback (most recent call last):
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1139, in _do_call
return fn(*args)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1121, in _run_fn
status, run_metadata)
File "/usr/local/Cellar/python3/3.6.0/Frameworks/Python.framework/Versions/3.6/lib/python3.6/contextlib.py", line 89, in __exit__
next(self.gen)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.NotFoundError: Key embedding_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_1/basic_lstm_cell/kernel not found in checkpoint
[[Node: save/RestoreV2_20 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_20/tensor_names, save/RestoreV2_20/shape_and_slices)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "predict.py", line 61, in <module>
pm.saver.restore(sess, "phnet_s2s_bucket1-399")
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1548, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 789, in run
run_metadata_ptr)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 997, in _run
feed_dict_string, options, run_metadata)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1132, in _do_run
target_list, options, run_metadata)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Key embedding_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_1/basic_lstm_cell/kernel not found in checkpoint
[[Node: save/RestoreV2_20 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_20/tensor_names, save/RestoreV2_20/shape_and_slices)]]
Caused by op 'save/RestoreV2_20', defined at:
File "predict.py", line 60, in <module>
pm = PredictModel(diction_url="train/train_words_buckets.p")
File "predict.py", line 35, in __init__
self.saver = tf.train.Saver(tf.global_variables())
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1139, in __init__
self.build()
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1170, in build
restore_sequentially=self._restore_sequentially)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 691, in build
restore_sequentially, reshape)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 407, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 247, in restore_op
[spec.tensor.dtype])[0])
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/gen_io_ops.py", line 640, in restore_v2
dtypes=dtypes, name=name)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1269, in __init__
self._traceback = _extract_stack()
NotFoundError (see above for traceback): Key embedding_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_1/basic_lstm_cell/kernel not found in checkpoint
[[Node: save/RestoreV2_20 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_20/tensor_names, save/RestoreV2_20/shape_and_slices)]]
我遵循了与 GitHub 上的教程类似的图形步骤。
好的，所以我找到了解决方案。在我的代码中，RNN 单元的调用是在可变作用域内，而我没有在同一作用域中创建 RNN 单元。它训练得很好，但在恢复模型时，它失败了。 更多细节可以在这里找到：在张量流中重用LSTM的重用变量