属性错误:模块'tensorflow.python.keras.api._v2.keras.backend'没有属性'set_image_dim_ordering'

9cbw7uwe  于 2022-12-01  发布在  Python
关注(0)|答案(2)|浏览(219)

最近,我尝试用python在github中运行一段代码,代码位于:https://github.com/costapt/vess2ret和我使用了以下软件
操作系统: windows 10 Python:3.5 CUDA:10.0 CUDNN:10.0
我遇到了同样的问题已经显示了一些人在网上。那就是:属性错误:模块'tensorflow'没有属性'get_default_graph'在我尝试将代码更改为以下内容后
从keras导入后端
更改为:
从tensorflow.keras导入后端
我遇到了另一个问题.那就是:属性错误:模块'tensorflow.python.keras.api._v2.keras.backend'没有属性'set_image_dim_ordering'
我不知道现在该怎么办

#Here are some codes which are related to the problem above.

import os
import keras
from tensorflow.keras import backend as K
from keras import objectives
from keras.layers import Input, merge
from keras.layers.advanced_activations import LeakyReLU
from keras.layers.convolutional import Convolution2D, Deconvolution2D
from keras.layers.core import Activation, Dropout
from keras.layers.normalization import BatchNormalization
from keras.models import Model
from keras.optimizers import Adam

KERAS_2 = keras.__version__[0] == '2'
try:
    # keras 2 imports
    from keras.layers.convolutional import Conv2DTranspose
    from keras.layers.merge import Concatenate
except ImportError:
    print("keras 2 layers could not be imported defaulting to keras1")
    KERAS_2 = False

K.set_image_dim_ordering('th') #here is where the problem occurs at

#The first problem.
Traceback (most recent call last):
  File "C:\zzProject_ML\vess2ret-master\train.py", line 326, in <module>
    batch_size=params.batch_size, is_binary=params.is_b_binary)
  File "C:\zzProject_ML\vess2ret-master\models.py", line 378, in g_unet
    i = Input(shape=(in_ch, 512, 512))
  File "C:\Users\10580\Anaconda3\envs\project_ML\lib\site-packages\keras\engine\input_layer.py", line 178, in Input
    input_tensor=tensor)
  File "C:\Users\10580\Anaconda3\envs\project_ML\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)
  File "C:\Users\10580\Anaconda3\envs\project_ML\lib\site-packages\keras\engine\input_layer.py", line 39, in __init__
    name = prefix + '_' + str(K.get_uid(prefix))
  File "C:\Users\10580\Anaconda3\envs\project_ML\lib\site-packages\keras\backend\tensorflow_backend.py", line 74, in get_uid
    graph = tf.get_default_graph()
AttributeError: module 'tensorflow' has no attribute 'get_default_graph'

#The second problem.
Using TensorFlow backend.
Traceback (most recent call last):
  File "C:\zzProject_ML\vess2ret-master\train.py", line 7, in <module>
    import models as m
  File "C:\zzProject_ML\vess2ret-master\models.py", line 25, in <module>
    K.set_image_dim_ordering('th')
AttributeError: module 'tensorflow.python.keras.api._v2.keras.backend' has no attribute 'set_image_dim_ordering'
lymgl2op

lymgl2op1#

您在导入中混合了tf.keraskeras(它们不兼容),并且keras当前不支持tensorflow 2.0(尚未发布稳定版本)。
如果你必须使用tensorflow 2.0,那么你必须使用该版本中包含的tf.keras。如果你想使用keras,那么你需要降级到稳定的tensorflow版本。

ruarlubt

ruarlubt2#

不要将优化器作为函数调用,而是仅按名称调用它,如
tensorflow == 2.11.0

model.compile(loss=keras.metrics.categorical_crossentropy, optimizer=keras.optimizer.Adam(), metrics=['accuracy']) -- change the way of calling optimizer

使用以下

model.compile(loss=keras.metrics.categorical_crossentropy, optimizer="Adam", metrics=['accuracy'])

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