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This tutorial provides a comprehensive guide on how to convert a model program using the Estimator API to one using the TPUEstimator API, allowing users to fully utilize Tensor Processing Units (TPUs) while maintaining compatibility with CPUs and GPUs.
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01
Review the current usage of the Estimator API to understand existing parameters and functionality.
02
Gather the necessary migration documentation and guidelines provided by the API provider.
03
Set up a testing environment to implement and test the new API features.
04
Identify equivalent endpoints and parameters in the new API that replace those in the Estimator API.
05
Update your application's codebase to replace calls to the Estimator API with the corresponding calls to the new API.
06
Test all endpoints thoroughly to ensure that functionality remains consistent after migration.
07
Monitor performance and error logs after deployment to identify and resolve any issues.

Who needs migrating from estimator api?

01
Developers who are currently using the Estimator API.
02
Businesses that rely on the Estimator API for their estimation needs.
03
Teams needing to upgrade to a newer API for improved features or performance.
04
Organizations looking to transition due to deprecation of the Estimator API.
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Migrating from estimator API refers to the process of transitioning from the old estimator application programming interface (API) to a new or updated version of the API, which may include enhancements or changes in functionality.
Entities or individuals who have used the previous estimator API and are transitioning to the new version are required to file their migration plans or details as specified by the governing authority.
To fill out the migrating from estimator API form, users must provide their previous API usage details, the new version they are migrating to, and any relevant configurations, along with compliance information as outlined in the filing instructions.
The purpose of migrating from estimator API is to ensure that users can take advantage of improved features, enhanced performance, and updated security protocols, while facilitating smoother integration and operation.
The information that must be reported includes identification of the previous API version used, destination API version, any relevant configurations, compliance details, and potential impact assessments.
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