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

        of input dataset; when combined with the `tf.data.Dataset.reduce()` API,
        this allows users to implement customized batching.
    *   All C++ code moves to the `tensorflow::data` namespace.
    *   Add support for `num_parallel_calls` to `tf.data.Dataset.interleave`.
*   `tf.contrib`:
    *   Remove `tf.contrib.linalg`. `tf.linalg` should be used instead.