我使用Seq2SeqModel阅读并对TensorFlow的translate.py感兴趣，我想使用两个seq2seq模型（BotEngine，GrammarGenerator），利用在TF教程代码中使用的translate.py，如此
with tf.Session() as sess:
with tf.variable_scope("be_model"):
model_be = BotEngine.create_model(sess, True)
print("be model created")
with tf.variable_scope("gg_model"):
model_gg = GrammarGenerator.create_model(sess, True)
print("gg model created")
当我接受训练时经过测试（在读取检查点文件后）两个模型，没有发生错误。但是当我连续读取两个检查点文件时，会发生以下错误：
(tensorflow) C:\test>python conversation.py --conversation
2017-10-05 14:43:52.150316: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn'
t compiled to use SSE instructions, but these are available on your machine and
could speed up CPU computations.
2017-10-05 14:43:52.150316: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn'
t compiled to use SSE2 instructions, but these are available on your machine and
could speed up CPU computations.
2017-10-05 14:43:52.150316: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn'
t compiled to use SSE3 instructions, but these are available on your machine and
could speed up CPU computations.
2017-10-05 14:43:52.150316: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn'
t compiled to use SSE4.1 instructions, but these are available on your machine a
nd could speed up CPU computations.
2017-10-05 14:43:52.150316: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\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 a
nd could speed up CPU computations.
2017-10-05 14:43:52.150316: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\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.
2017-10-05 14:43:52.151316: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\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.
2017-10-05 14:43:52.151316: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\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.
Reading model parameters from ./seq2seq_bemodel\seq2seq.ckpt-6000
[be model created]
Reading model parameters from ./seq2seq_ggmodel\seq2seq.ckpt-43800
2017-10-05 14:45:06.332559: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/Variable_
1 not found in checkpoint
2017-10-05 14:45:06.333559: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/be_pro_w
not found in checkpoint
2017-10-05 14:45:06.334559: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/Variable
not found in checkpoint
2017-10-05 14:45:06.337559: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/Attention_0/bia
s not found in checkpoint
2017-10-05 14:45:06.338559: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/be_proj_b
not found in checkpoint
2017-10-05 14:45:06.341559: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/Attention_0/ker
nel not found in checkpoint
2017-10-05 14:45:06.344559: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/AttnOutputProje
ction/bias not found in checkpoint
2017-10-05 14:45:06.345559: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/AttnOutputProje
ction/kernel not found in checkpoint
2017-10-05 14:45:06.346559: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/AttnV_0 not fou
nd in checkpoint
2017-10-05 14:45:06.348560: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/AttnW_0 not fou
nd in checkpoint
2017-10-05 14:45:06.351560: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/bias not found
in checkpoint
2017-10-05 14:45:06.353560: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/kernel not foun
d in checkpoint
2017-10-05 14:45:06.355560: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/multi_rnn_cell/
cell_0/lstm_cell/bias not found in checkpoint
2017-10-05 14:45:06.359560: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/multi_rnn_cell/
cell_0/lstm_cell/kernel not found in checkpoint
2017-10-05 14:45:06.360560: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/multi_rnn_cell/
cell_1/lstm_cell/kernel not found in checkpoint
2017-10-05 14:45:06.362560: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/multi_rnn_cell/
cell_1/lstm_cell/bias not found in checkpoint
2017-10-05 14:45:06.363560: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/multi_rnn_cell/
cell_2/lstm_cell/bias not found in checkpoint
2017-10-05 14:45:06.366561: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/attention_decoder/multi_rnn_cell/
cell_2/lstm_cell/kernel not found in checkpoint
2017-10-05 14:45:06.367561: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/embedding_attention_decoder/embedding not found in checkpoint
2017-10-05 14:45:06.371561: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/rnn/embedding_wrapper/embedding not found in checkpoint
2017-10-05 14:45:06.374561: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_0/lstm_cell/bias no
t found in checkpoint
2017-10-05 14:45:06.375561: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_0/lstm_cell/kernel
not found in checkpoint
2017-10-05 14:45:06.377561: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_1/lstm_cell/bias no
t found in checkpoint
2017-10-05 14:45:06.378561: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_1/lstm_cell/kernel
not found in checkpoint
2017-10-05 14:45:06.379561: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_2/lstm_cell/bias no
t found in checkpoint
2017-10-05 14:45:06.381561: W c:\l\tensorflow_1501907206084\work\tensorflow-1.2.
1\tensorflow\core\framework\op_kernel.cc:1158] Not found: Key be_model/embedding
_attention_seq2seq/rnn/embedding_wrapper/multi_rnn_cell/cell_2/lstm_cell/kernel
not found in checkpoint
Traceback (most recent call last):
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\client\session.py", line 1139, in _do_call
return fn(*args)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\client\session.py", line 1121, in _run_fn
status, run_metadata)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\contextlib.py", line 66, in
__exit__
next(self.gen)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\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 be_model/Variable_1 n
ot found in checkpoint
[[Node: gg_model/save/RestoreV2_1 = RestoreV2[dtypes=[DT_INT32], _devic
e="/job:localhost/replica:0/task:0/cpu:0"](_arg_gg_model/save/Const_0_0, gg_mode
l/save/RestoreV2_1/tensor_names, gg_model/save/RestoreV2_1/shape_and_slices)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "conversation.py", line 113, in
main()
File "conversation.py", line 102, in main
conversation()
File "conversation.py", line 55, in conversation
model_gg = GrammarGenerator.create_model(sess, True)
File "C:\test\GrammarGenerator.py", line 50, in create_model
model.saver.restore(session,ckpt.model_checkpoint_path)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\training\saver.py", line 1548, in restore
{self.saver_def.filename_tensor_name: save_path})
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\client\session.py", line 789, in run
run_metadata_ptr)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\client\session.py", line 997, in _run
feed_dict_string, options, run_metadata)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\client\session.py", line 1132, in _do_run
target_list, options, run_metadata)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\client\session.py", line 1152, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Key be_model/Variable_1 n
ot found in checkpoint
[[Node: gg_model/save/RestoreV2_1 = RestoreV2[dtypes=[DT_INT32], _devic
e="/job:localhost/replica:0/task:0/cpu:0"](_arg_gg_model/save/Const_0_0, gg_mode
l/save/RestoreV2_1/tensor_names, gg_model/save/RestoreV2_1/shape_and_slices)]]
Caused by op 'gg_model/save/RestoreV2_1', defined at:
File "conversation.py", line 113, in
main()
File "conversation.py", line 102, in main
conversation()
File "conversation.py", line 55, in conversation
model_gg = GrammarGenerator.create_model(sess, True)
File "C:\test\GrammarGenerator.py", line 45, in create_model
dtype=tf.float32)
File "C:\test\seq2seq_model.py", line 159, in __init__
self.saver = tf.train.Saver(tf.global_variables())
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\training\saver.py", line 1139, in __init__
self.build()
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\training\saver.py", line 1170, in build
restore_sequentially=self._restore_sequentially)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\training\saver.py", line 691, in build
restore_sequentially, reshape)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\training\saver.py", line 407, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\training\saver.py", line 247, in restore_op
[spec.tensor.dtype])[0])
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\ops\gen_io_ops.py", line 640, in restore_v2
dtypes=dtypes, name=name)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\framework\op_def_library.py", line 767, in apply_op
op_def=op_def)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\framework\ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\Users\coco\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\pyt
hon\framework\ops.py", line 1269, in __init__
self._traceback = _extract_stack()
NotFoundError (see above for traceback): Key be_model/Variable_1 not found in ch
eckpoint
[[Node: gg_model/save/RestoreV2_1 = RestoreV2[dtypes=[DT_INT32], _devic
e="/job:localhost/replica:0/task:0/cpu:0"](_arg_gg_model/save/Const_0_0, gg_mode
l/save/RestoreV2_1/tensor_names, gg_model/save/RestoreV2_1/shape_and_slices)]]
(tensorflow) C:\test> :(
以上错误消息说
＆＃39;在检查点＆＃39;中找不到密钥be_model / Variable_1。
但我已经使用inspect_checkpoint.py来检查存储在两个检查点文件中的所有张量，但是没有任何重复的张量范围， 最重要的是，be_model / Variable_1张量存在于我的be_model检查点文件中。
(tensorflow) C:\test\seq2seq_bemodel>python inspect_checkpoint.py --file_name se
q2seq.ckpt-5800
be_model/Variable (DT_FLOAT) []
be_model/Variable_1 (DT_INT32) []
be_model/be_model/be_pro_w/Adam (DT_FLOAT) [2179,150]
我也不理解上面提到的错误;我的代码中没有使用Variable_1张量。
答案 0 :(得分：1)
问题在于我的seq2seq对象的saver属性。我用tf.global_variables（）参数调用了该方法。我认为我习惯性地查看保护对象是错误的，这是我的错。
当遇到与变量范围或特别是saver对象相关的问题时，我认为inspect_checkpoint.py看起来非常有用。