initialized the same way as done for batch normalization.
        Default: "False".
  * **track_running_stats** (*bool*) -- a boolean value that when
    set to "True", this module tracks the running mean and
    variance, and when set to "False", this module does not track
    such statistics and always uses batch statistics in both
    training and eval modes. Default: "False"

Shape:
      * Input: (N, C, L) or (C, L)
  * Output: (N, C, L) or (C, L) (same shape as input)

cls_to_become
  alias of "InstanceNorm1d"
