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ci/official/wheel_test/README.md
to the actual TensorFlow wheel. 3. Creates a `requirements_lock_<python_version>.txt` file. 4. Updates the `requirements_lock_<python_version>.txt` file using a Bazel command. 5. Moves the updated `requirements_lock_<python_version>.txt` file to the `../wheel_test/` directory. ### How it Works in the Presubmit Job `_requirements_lock` files will be generated by the presubmit job. A detailed
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RELEASE.md
* TF Core: * `tf.constant` always creates CPU tensors irrespective of the current device context. * Eager `TensorHandles` maintain a list of mirrors for any copies to local or remote devices. This avoids any redundant copies due to op execution. * For `tf.Tensor` & `tf.Variable`, `.experimental_ref()` is no longer experimental and is available as simply `.ref()`.
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