'Vscode keras intellisense(suggestion) not working properly

Intellisense works fine on importing phrase

But when it comes with chaining method, it shows diffrent suggestions

Python & Pylance extensions are installed.

Solution 1:^[1]

From this issue on github try adding this to the bottom of your tensorflow/__init__.py (in .venv/Lib/site-packages/tensorflow for me)

# Explicitly import lazy-loaded modules to support autocompletion.
# pylint: disable=g-import-not-at-top
if _typing.TYPE_CHECKING:
  from tensorflow_estimator.python.estimator.api._v2 import estimator as estimator
  from keras.api._v2 import keras
  from keras.api._v2.keras import losses
  from keras.api._v2.keras import metrics
  from keras.api._v2.keras import optimizers
  from keras.api._v2.keras import initializers
# pylint: enable=g-import-not-at-top

The problem is because keras is a special class that enables lazy loading and not a normal module.

Edit: With updates to tf, vscode, or something else I'm not having this issue and don't need to use the above fix anymore. I just have to use keras = tf.keras instead of from tensorflow import keras and I have Intellisense working now.

Solution 2:^[2]

did you try clearing the cache on your system?

Solution 3:^[3]

Solved. Downgrading tensorflow version from 2.6.0 to 2.5.0 solved the problem.

pip install tensorflow==2.5.0

Sources

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Source: Stack Overflow

Solution	Source
Solution 1
Solution 2	ALEX1A
Solution 3	user8659363

'Vscode keras intellisense(suggestion) not working properly

Solution 1:[1]

Solution 2:[2]

Solution 3:[3]

Sources

Related Questions

Solution 1:^[1]

Solution 2:^[2]

Solution 3:^[3]