[Python] Python tenserflow.keras is not working properly

tensorflow.keras not resolving despite TensorFlow 2.10.0

I'm using TensorFlow 2.10.0 and Keras 2.10.0 inside a conda environment (Python 3.10.16) on Windows, specifically because 2.10.0 is the last version with native GPU support on Windows.

However, I'm running into this issue:

from tensorflow.keras import layers
# -> Import "tensorflow.keras" could not be resolved


Even though:

import tensorflow as tf
print(tf.__version__) # 2.10.0

import keras
print(keras.__version__) # 2.10.0


Also, running:

python -c "from tensorflow.keras import layers; print(layers.Dense)"


returns:

<class 'keras.layers.core.dense.Dense'>


...which means it technically works, but my IDE (and sometimes runtime) still flags it as unresolved or broken.

I’ve already tried uninstalling/reinstalling both TensorFlow and Keras, and I’m not using standalone keras anymore — only the tensorflow bundled version.

What could be causing this inconsistency? Is it a conflict between standalone Keras and TF-bundled Keras? Any advice is appreciated

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