Res<TF_Float32Tensor, [{A 1D Tensor for the computed batch mean, to be used by TensorFlow
to compute the running mean.}]>:$batch_mean,
    Res<TF_Float32Tensor, [{A 1D Tensor for the computed batch variance, to be used by
TensorFlow to compute the running variance.}]>:$batch_variance,
    Res<TF_Float32Tensor, [{A 1D Tensor for the computed batch mean, to be reused
in the gradient computation.}]>:$reserve_space_1,

* <NOTES SHOULD BE GROUPED PER AREA>

* `tf.data`
    * Add optional `synchronous` argument to `map`, to specify that the `map`
      should run synchronously, as opposed to be parallelizable when
      `options.experimental_optimization.map_parallelization=True`. This saves
      memory compared to setting `num_parallel_calls=1`.
* `tf.lite`
    * `Dequantize` op supports `TensorType_INT4`.
        * This change includes per-channel dequantization.