Despite tensorflow.compat.v1, still receiving deprecation and versioning errors

1.Disable Eager Execution (for full TF1 behavior)

import tensorflow.compat.v1 as tf

tf.disable_eager_execution()

2. Stick to One API Style

Don’t mix tf.compat.v1 and TF2 in the same script:

• Use only compat.v1 ops if keeping TF1-style

OR

• Convert fully to TF2 (tf.keras, tf.function, etc.)
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3. Replace Removed APIs

4. Downgrade TensorFlow (if needed)

If you’re stuck with legacy code, try using:

pip install tensorflow==2.3

5. Suppress Warnings (not recommended unless safe)

import warnings

warnings.filterwarnings(“ignore”, category=DeprecationWarning)