Keras Concatenate TypeError: init() got multiple values for argument 'axis'

Question

我目前正在尝试重新创建 Unet。在需要合并两层输出的 "upconvolution" 部分，我得到了上述错误。 (TypeError: init() 得到参数 'axis' 的多个值)

凯拉斯版本：2.0.6
Tensorflow-GPU: 1.2.1

代码片段：

import gzip
import os

from six.moves import urllib
import tensorflow as tf
import numpy as np

from keras.models import Sequential, Model
from keras.layers import Input, Dropout, Flatten, Concatenate
from keras.layers import Conv2D, MaxPool2D, Conv2DTranspose
from keras.utils import np_utils
import keras.callbacks

# Define model architecture
input1 = Input((X_train.shape[1], X_train.shape[2], 1))

conv1 = Conv2D(64,(3,3), activation='relu', padding='same')(input1)
conv1 = Dropout(0.2)(conv1)
conv1 = Conv2D(64,(3,3), activation='relu', padding='same')(conv1)
pool1 = MaxPool2D(pool_size=(2,2))(conv1)

conv2 = Conv2D(128,(3,3), activation='relu', padding='same')(pool1)
conv2 = Dropout(0.2)(conv2)
conv2 = Conv2D(128,(3,3), activation='relu')(conv2)
pool2 = MaxPool2D(pool_size=(2,2))(conv2)

conv3 = Conv2D(256,(3,3), activation='relu', padding='same')(pool2)
conv3 = Dropout(0.2)(conv3)
conv3 = Conv2D(256,(3,3), activation='relu', padding='same')(conv3)
pool3 = MaxPool2D(pool_size=(2,2))(conv3)

conv4 = Conv2D(512,(3,3), activation='relu', padding='same')(pool3)
conv4 = Conv2D(512,(3,3), activation='relu', padding='same')(conv4)

up5 = Concatenate([Conv2DTranspose(256, (2,2), strides=(2,2),padding='same')(conv4), conv3], axis=3)
conv5 = Conv2D(256,(3,3), activation='relu', padding='same')(up5)
conv5 = Conv2D(256,(3,3), activation='relu', padding='same')(conv5)

详细错误信息：

Traceback (most recent call last):

File "<ipython-input-48-d61955511ff9>", line 1, in <module>
runfile('C:/Users/.../MNIST_Unet_new.py', wdir='C:/Users/.../Documents/KerasTutorials')

File "C:\ProgramData\Anaconda3\envs\tensorflow-gpu\lib\site-packages\spyder\utils\site\sitecustomize.py", line 688, in runfile
execfile(filename, namespace)

File "C:\ProgramData\Anaconda3\envs\tensorflow-gpu\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/.../MNIST_Unet_new.py", line 107, in <module>
up5 = Concatenate([Conv2DTranspose(256, (2,2), strides=(2,2),padding='same')(conv4), conv3], axis=3)

TypeError: __init__() got multiple values for argument 'axis'

Answer 1

我找到了一个似乎有效的解决方案！

我对代码做了两处修改。

我使用 keras.layers.concatenate
I "excluded" Conv2dTranspose 连接步骤

相关代码片段现在看起来像这样

trans5 = Conv2DTranspose(256, (2,2), strides=(2,2),padding='same')(conv4)
up5 = keras.layers.concatenate([trans5, conv3], axis=3)

这可能是 keras 中的某种错误？我应该报告这个问题吗？

非常感谢您的帮助。点赞！

Answer 2

我也遇到这样的错误。

up5_0 = Concatenate([UpSampling2D(size=(2, 2))(conv4_0), conv4], axis=3)
TypeError: __init__() got multiple values for argument 'axis'

我只使用 concatenate 而不是 Concatenate

解决了它

up5_0 = concatenate([UpSampling2D(size=(2, 2))(conv4_0), conv4], axis=3)

Answer 3

concatenate是keras的一层，它的用途是

keras.layers.Concatenate(axis=-1)

这里如果你想使用 Concatenate 而不是 concatenate.you 应该这样使用：

up5 = Concatenate(axis=3)([Conv2DTranspose(256, (2,2), strides=(2,2),padding='same')(conv4), conv3])

希望对你有用！

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