Keras报错AttributeError:无common属性，能否用K.image_data_format()替代？

Absolutely, you can (and should!) use K.image_data_format() as a direct replacement for K.common.image_dim_ordering() in your code. Here's why this works perfectly for your setup:

Why the original error pops up #

In later Keras versions (including your 2.4.3 release) and TensorFlow 2.x's integrated Keras, the keras.backend.common module was deprecated and removed entirely. The functionality of image_dim_ordering() was moved directly to the keras.backend root namespace and renamed to image_data_format() to simplify the API structure.

Compatibility with your versions #

Your TensorFlow 2.3.1 and Keras 2.4.3 setup fully supports K.image_data_format(). Even better, this new method behaves exactly like the old one: it returns either 'channels_first' or 'channels_last' to match your configured image dimension ordering. This means swapping the old call for the new one won’t alter your code’s logic at all—it’s a seamless drop-in replacement.

Example replacement #

Just replace the problematic line with this:

self.dim_ordering = K.image_data_format()

If you have other references to K.common in your codebase, be sure to check for their updated API equivalents, but for this specific AttributeError, this fix will resolve it right away.

内容的提问来源于stack exchange，提问作者Sai