江苏连云港网站制作公司,品牌推广官,微信管理系统官网,西安的互联网公司在PyCharm(2024.2版本)中#xff0c;直接使用from tensorflow import keras会提示“Cannot find reference ‘keras’ in ‘init.py’ ”#xff0c;找不到keras#xff0c;如下图所示。 查阅相关资料#xff0c;可以发现在tf2.16之后#xff0c;默认的keras后端升级为了…在PyCharm(2024.2版本)中直接使用from tensorflow import keras会提示“Cannot find reference ‘keras’ in ‘init.py’ ”找不到keras如下图所示。 查阅相关资料可以发现在tf2.16之后默认的keras后端升级为了3.0,且直接引用即可。
参考链接PyCharm cannot parse any content under tensorflow.keras 2.16.2 #73110 以及Introducing Keras 3.0 TF 2.15: Keras2.0 import tensorflow as tf
from tensorflow import kerasTF 2.16: Keras 3.0 import tensorflow as tf
import keras在reddit上也有人讨论 Because in the old days Keras was entirely separate to Tensorflow. It had a backend for Theano and maybe some other stuff. Then Francois and the TF team at Google decided to bring Keras into TF as their main high level API, trying to address the fragmentation that had been created in TF land. Since TF usage is dwindling in research, and possibly showing signs of similar in industry, Keras is now multi-backend again, supporting TensorFlow, PyTorch, and JAX. Very old code will import keras directly, and be referring to Keras 1. This code will usually use Theano or TensorFlow 1.x as well.More recent code will import tensorflow.keras and be referring to Keras 2. This is the majority of the code you’ll find.Very recent code (i.e. this year I think) will import keras directly again, or maybe keras_core, and be referring to Keras 3, the latest version. 也就是说在最新版2.16.0的Tensorflow中只需要直接引用import keras即可正常使用keras3.0。经测试使用keras.models或keras.layers均可正常使用也会有代码补全。
