let description = [{
Computes the inverse 1-dimensional discrete Fourier transform of a real-valued
signal over the inner-most dimension of `input`.

The inner-most dimension of `input` is assumed to be the result of `RFFT`: the
`fft_length / 2 + 1` unique components of the DFT of a real-valued signal. If
`fft_length` is not provided, it is computed from the size of the inner-most

    *   Expose `tf.distribute.Strategy as the new name for
        tf.contrib.distribute.DistributionStrategy.
    *   Migrate linear optimizer from contrib to core.
    *   Move `tf.contrib.signal` to `tf.signal` (preserving aliases in
        tf.contrib.signal).
    *   Users of `tf.contrib.estimator.export_all_saved_models` and related
        should switch to
        `tf.estimator.Estimator.experimental_export_all_saved_models`.
*   tf.data:

...