DeprecationWarning from google.protobuf about tensorflow HOT 8 CLOSED

@lazarust Could you consider explicitly upgrading protobuf. You can find compatible versions on the official protobuf website here. Kindly refer to this issue as well for more information.
Thank you!

from tensorflow.

Thanks for the response @sushreebarsa. I tried upgrading protobuf by running pip install -U protobuf and still get the same deprecation warning with protobuf 5.26.1.

Is there something else I should do/could try?

It also looks like tensorflow requires a version of protobuf that's < 5.0.0. Is 5.0 + support something that could be updated?

from tensorflow.

@lazarust The error you're encountering is related to a deprecation warning in protobuf and its incompatibility with TensorFlow in your current environment. Kindly ensure you're upgrading protobuf and TensorFlow within the same virtual environment you're using for your project. This avoids conflicts with other projects that might have different dependency requirements. Another workaround could be downgrading protobuf to a version below 5.0.0 which is not ideal.
TensorFlow is yet to fully support protobuf versions above 5.0.

Thank you!

from tensorflow.

@sushreebarsa I've verified that I'm using tensorflow 2.16.1 and protobuf 4.25.3 (this is the newest protobuf supported by tensorflow from what I can tell). I'm still running into the DeprecationWarnings.

If it's not an easy fix since tensorflow doesn't support protobuf 5.0+, we can ignore those warnings for now. Unless you have a better idea?

from tensorflow.

Hi, @lazarust ! Ignoring the warnings might seem like a quick solution. If downgrading protobuf or upgrading TensorFlow is not feasible, you can suppress the warnings.

import warnings
warnings.filterwarnings("ignore", message=".*DeprecationWarning.*")

Please find the doc here which has the supported protobuf versions mentioned in it. Kindly stay updated with TF releases.

Thank you!

from tensorflow.

@sushreebarsa We've decided to just suppress the warnings for now until TensorFlow supports the new version of protobuf. Should I close this issue?

from tensorflow.

@lazarust Sure, you could move this issue to close status for now and stay updated for new releases. Thank you!

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