如何解决看起来像您正在尝试使用不支持TensorFlow 2.0的多后端Keras版本

Question

我使用tensorflow 2版本来运行序列模型。我不知道为什么它不支持tensorflow2。我也检查了同样的问题，但没有帮助。有人能帮我更正代码吗？

from sklearn.model_selection import train_test_split
import tensorflow
import keras
from tensorflow.keras import layers
from tensorflow.keras import optimizers
from tensorflow.keras import callbacks
from tensorflow.python.keras.layers import Input, Dense, Dropout
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import BatchNormalization
from keras.layers.convolutional import Conv2D
from keras.layers.convolutional import MaxPooling2D, AveragePooling2D
from keras.layers.core import Activation
from tensorflow.keras.layers import Flatten
from tensorflow.keras.layers import Input
from tensorflow.keras import optimizers
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras import datasets, layers, models
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.utils import plot_model
from tensorflow.keras.models import load_model, Model
from tensorflow.keras.callbacks import EarlyStopping
model = Sequential()
model.add(Conv2D(input_shape=(32,32,4),filters=64,kernel_size=(3,3),padding="same", activation="relu"))
model.add(Conv2D(filters=64,kernel_size=(3,3),padding="same", activation="relu"))
model.add(MaxPooling2D(pool_size=(2,2),strides=(2,2)))
model.add(Conv2D(filters=128, kernel_size=(3,3), padding="same", activation="relu"))
model.add(Conv2D(filters=128, kernel_size=(3,3), padding="same", activation="relu"))
model.add(MaxPooling2D(pool_size=(2,2),strides=(2,2)))
model.add(Flatten())
model.add(Dense(units=1024,activation="relu"))
model.add(Dense(units=1024,activation="relu"))
model.add(Dense(units=1, activation="linear"))
#compile model
optimizer = tensorflow.keras.optimizers.Adam(learning_rate=0.0001, beta_1=0.9, beta_2=0.999, epsilon=1e-08, decay=0.0)
model.compile(loss='mean_squared_error',
optimizer=optimizer,
metrics=['mae'])

错误：

Traceback (most recent call last):
File "/appl/soft/ai/miniconda3/envs/tensorflow-2.0.0/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 66, in _get_default_graph
return tf.get_default_graph()
AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
During handling of the above exception, another exception occurred:
RuntimeError: It looks like you are trying to use a version of multi-backend Keras that does not support TensorFlow 2.0. We recommend using `tf.keras`, or alternatively, downgrading to TensorFlow 1.14.

Answer 1

我通过编辑导入库的部分来运行代码：

from tensorflow.python.keras.layers import Input, Dense, Flatten, Dropout, Conv2D, MaxPooling2D
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.layers import BatchNormalization
from tensorflow.python.keras import optimizers                                                                                                                                                             from tensorflow.python.keras.callbacks import EarlyStopping
import tensorflow as tf