How to Resolve 'No module named tensorflow.contrib' Error in TensorFlow?

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If you've recently upgraded to TensorFlow 2.x from TensorFlow 1.x, you might encounter an error message that says:

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What Changed in TensorFlow 2.x?

Resolving the Error

Check for Alternative Libraries

You can easily find the replacement library and functions by referring to official TensorFlow documentation or community guides.

Update Your Code

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Migrate to TensorFlow 2.x

Migrate your codebase to be compatible with TensorFlow 2.x. For that, you can use the tf_upgrade_v2 script provided by TensorFlow to automatically upgrade your code:

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This script will help you upgrade most of the deprecated APIs. However, you might need to manually check and update some of the more complex parts of your code.

Leverage Compatibility Mode

If immediate migration is not feasible, you can use TensorFlow 1.x compatibility mode using:

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This enables you to run your TensorFlow 1.x code in TensorFlow 2.x with minimal changes. However, this should be a temporary measure as it doesn’t take full advantage of the improvements made in TensorFlow 2.x.

Conclusion

Happy coding!