Keras Concatenate TypeError：__init__() 得到参数“axis”的多个值

我目前正在尝试重新创建 Unet。在需要合并两层输出的“上卷积”部分，我得到了提到的错误。 （类型错误：init() 获得参数“轴”的多个值）

• 喀拉斯版本：2.0.6
• 张量流 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'

我找到了一个似乎有效的解决方案！

我对代码做了两处更改。

1. 我没有使用 keras.layers.Concatenate，而是使用 keras.layers.concatenate
2. 我从串联中“排除”了 Conv2dTranspose 步骤

相关的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 中的某种错误吗？我应该报告这个问题吗？

不管怎样，非常感谢你的帮助。欣赏它！