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runfile('D:/crf058/BNN+CRF/rnn.py', wdir='D:/crf058/BNN+CRF')
building word index...
source vocabulary file has already existed, continue to next stage.
target vocabulary file has already existed, continue to next stage.
Reloaded modules: utils, config
building word index...
source vocabulary file has already existed, continue to next stage.
target vocabulary file has already existed, continue to next stage.
loading word embedding, it will take few minutes...
Traceback (most recent call last):
File "", line 1, in
runfile('D:/crf058/BNN+CRF/rnn.py', wdir='D:/crf058/BNN+CRF')
File "D:\Python\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile
execfile(filename, namespace)
File "D:\Python\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "D:/crf058/BNN+CRF/rnn.py", line 160, in
iterator = get_predict_iterator(src_vocab_table, vocab_size, BATCH_SIZE)
File "D:\crf058\BNN+CRF\utils.py", line 230, in get_predict_iterator
batched_iter = batched_dataset.make_initializable_iterator()
File "D:\Python\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 118, in make_initializable_iterator
initializer = gen_dataset_ops.make_iterator(self._as_variant_tensor(),
File "D:\Python\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2135, in _as_variant_tensor
self._input_dataset._as_variant_tensor(), # pylint: disable=protected-access
File "D:\Python\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2205, in _as_variant_tensor
input_t = self._input_dataset._as_variant_tensor() # pylint: disable=protected-access
File "D:\Python\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2210, in _as_variant_tensor
**flat_structure(self))
File "D:\Python\lib\site-packages\tensorflow\python\ops\gen_dataset_ops.py", line 2759, in map_dataset
output_shapes=output_shapes, name=name)
File "D:\Python\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 350, in _apply_op_helper
g = ops._get_graph_from_inputs(_Flatten(keywords.values()))
File "D:\Python\lib\site-packages\tensorflow\python\framework\ops.py", line 5428, in _get_graph_from_inputs
_assert_same_graph(original_graph_element, graph_element)
File "D:\Python\lib\site-packages\tensorflow\python\framework\ops.py", line 5364, in _assert_same_graph
original_item))
ValueError: Tensor("string_to_index_8/hash_table:0", shape=(), dtype=resource) must be from the same graph as Tensor("MapDataset_1:0", shape=(), dtype=variant).
The text was updated successfully, but these errors were encountered:
runfile('D:/crf058/BNN+CRF/rnn.py', wdir='D:/crf058/BNN+CRF')
building word index...
source vocabulary file has already existed, continue to next stage.
target vocabulary file has already existed, continue to next stage.
Reloaded modules: utils, config
building word index...
source vocabulary file has already existed, continue to next stage.
target vocabulary file has already existed, continue to next stage.
loading word embedding, it will take few minutes...
Traceback (most recent call last):
File "", line 1, in
runfile('D:/crf058/BNN+CRF/rnn.py', wdir='D:/crf058/BNN+CRF')
File "D:\Python\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile
execfile(filename, namespace)
File "D:\Python\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "D:/crf058/BNN+CRF/rnn.py", line 160, in
iterator = get_predict_iterator(src_vocab_table, vocab_size, BATCH_SIZE)
File "D:\crf058\BNN+CRF\utils.py", line 230, in get_predict_iterator
batched_iter = batched_dataset.make_initializable_iterator()
File "D:\Python\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 118, in make_initializable_iterator
initializer = gen_dataset_ops.make_iterator(self._as_variant_tensor(),
File "D:\Python\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2135, in _as_variant_tensor
self._input_dataset._as_variant_tensor(), # pylint: disable=protected-access
File "D:\Python\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2205, in _as_variant_tensor
input_t = self._input_dataset._as_variant_tensor() # pylint: disable=protected-access
File "D:\Python\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2210, in _as_variant_tensor
**flat_structure(self))
File "D:\Python\lib\site-packages\tensorflow\python\ops\gen_dataset_ops.py", line 2759, in map_dataset
output_shapes=output_shapes, name=name)
File "D:\Python\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 350, in _apply_op_helper
g = ops._get_graph_from_inputs(_Flatten(keywords.values()))
File "D:\Python\lib\site-packages\tensorflow\python\framework\ops.py", line 5428, in _get_graph_from_inputs
_assert_same_graph(original_graph_element, graph_element)
File "D:\Python\lib\site-packages\tensorflow\python\framework\ops.py", line 5364, in _assert_same_graph
original_item))
ValueError: Tensor("string_to_index_8/hash_table:0", shape=(), dtype=resource) must be from the same graph as Tensor("MapDataset_1:0", shape=(), dtype=variant).
The text was updated successfully, but these errors were encountered: