模块 'tensorflow' 没有属性 'get_default_graph'
module 'tensorflow' has no attribute 'get_default_graph'
我正在尝试构建深度学习模型，但我在使用 tensorflow 时遇到错误，而且我未能解决此问题。
我正在尝试构建深度学习模型，但在定义模型时遇到此错误。
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from tensorflow.keras.models import Sequential, load_model, Model
from tensorflow.keras.utils import plot_model
from tensorflow. keras.layers import Flatten, Dropout, Activation, Input, Dense, concatenate
from keras.layers.embeddings import Embedding
from tensorflow.keras.initializers import Constant
from tensorflow.python.keras import backend as k
# define the model
model = Sequential()
model.add(Embedding(vocabulary_size, embedding_size, input_length=MAXLEN))
model.add(Flatten())
model.add(Dense(op_units, activation='softmax'))
错误：-
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-64-4570aa61c2f1> in <module>
1 # define the model
2 model = Sequential()
----> 3 model.add(Embedding(vocabulary_size, embedding_size, input_length=MAXLEN))
4 model.add(Flatten())
5 model.add(Dense(op_units, activation='softmax'))
~\Anaconda3\lib\site-packages\keras\legacy\interfaces.py in wrapper(*args, **kwargs)
89 warnings.warn('Update your `' + object_name + '` call to the ' +
90 'Keras 2 API: ' + signature, stacklevel=2)
---> 91 return func(*args, **kwargs)
92 wrapper._original_function = func
93 return wrapper
~\Anaconda3\lib\site-packages\keras\layers\embeddings.py in __init__(self, input_dim, output_dim, embeddings_initializer, embeddings_regularizer, activity_regularizer, embeddings_constraint, mask_zero, input_length, **kwargs)
88 else:
89 kwargs['input_shape'] = (None,)
---> 90 super(Embedding, self).__init__(**kwargs)
91
92 self.input_dim = input_dim
~\Anaconda3\lib\site-packages\keras\engine\base_layer.py in __init__(self, **kwargs)
130 if not name:
131 prefix = self.__class__.__name__
--> 132 name = _to_snake_case(prefix) + '_' + str(K.get_uid(prefix))
133 self.name = name
134
~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in get_uid(prefix)
72 """
73 global _GRAPH_UID_DICTS
---> 74 graph = tf.get_default_graph()
75 if graph not in _GRAPH_UID_DICTS:
76 _GRAPH_UID_DICTS[graph] = defaultdict(int)
AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
请帮我解决这个问题。
您在导入中混用了 keras 和 tf.keras 包：
from tensorflow.keras.layers import Flatten, Dropout, Activation, Input, Dense, concatenate
from keras.layers.embeddings import Embedding
这将不起作用，因为这些软件包彼此不兼容。在这种情况下，您应该只使用 tf.keras：
from tensorflow.keras.layers import Embedding
我正在尝试构建深度学习模型，但我在使用 tensorflow 时遇到错误，而且我未能解决此问题。
我正在尝试构建深度学习模型，但在定义模型时遇到此错误。
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from tensorflow.keras.models import Sequential, load_model, Model
from tensorflow.keras.utils import plot_model
from tensorflow. keras.layers import Flatten, Dropout, Activation, Input, Dense, concatenate
from keras.layers.embeddings import Embedding
from tensorflow.keras.initializers import Constant
from tensorflow.python.keras import backend as k
# define the model
model = Sequential()
model.add(Embedding(vocabulary_size, embedding_size, input_length=MAXLEN))
model.add(Flatten())
model.add(Dense(op_units, activation='softmax'))
错误：-
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-64-4570aa61c2f1> in <module>
1 # define the model
2 model = Sequential()
----> 3 model.add(Embedding(vocabulary_size, embedding_size, input_length=MAXLEN))
4 model.add(Flatten())
5 model.add(Dense(op_units, activation='softmax'))
~\Anaconda3\lib\site-packages\keras\legacy\interfaces.py in wrapper(*args, **kwargs)
89 warnings.warn('Update your `' + object_name + '` call to the ' +
90 'Keras 2 API: ' + signature, stacklevel=2)
---> 91 return func(*args, **kwargs)
92 wrapper._original_function = func
93 return wrapper
~\Anaconda3\lib\site-packages\keras\layers\embeddings.py in __init__(self, input_dim, output_dim, embeddings_initializer, embeddings_regularizer, activity_regularizer, embeddings_constraint, mask_zero, input_length, **kwargs)
88 else:
89 kwargs['input_shape'] = (None,)
---> 90 super(Embedding, self).__init__(**kwargs)
91
92 self.input_dim = input_dim
~\Anaconda3\lib\site-packages\keras\engine\base_layer.py in __init__(self, **kwargs)
130 if not name:
131 prefix = self.__class__.__name__
--> 132 name = _to_snake_case(prefix) + '_' + str(K.get_uid(prefix))
133 self.name = name
134
~\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in get_uid(prefix)
72 """
73 global _GRAPH_UID_DICTS
---> 74 graph = tf.get_default_graph()
75 if graph not in _GRAPH_UID_DICTS:
76 _GRAPH_UID_DICTS[graph] = defaultdict(int)
AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
请帮我解决这个问题。
您在导入中混用了 keras 和 tf.keras 包：
from tensorflow.keras.layers import Flatten, Dropout, Activation, Input, Dense, concatenate
from keras.layers.embeddings import Embedding
这将不起作用，因为这些软件包彼此不兼容。在这种情况下，您应该只使用 tf.keras：
from tensorflow.keras.layers import Embedding