Variants_of_kind (neural_nets_lib.Ocannl.Row.Variants_of

val batch : kind Variantslib.Variant.t

val input : kind Variantslib.Variant.t

val output : kind Variantslib.Variant.t

val fold : 
  init:'acc__0 ->
  batch:('acc__0 -> kind Variantslib.Variant.t -> 'acc__1) ->
  input:('acc__1 -> kind Variantslib.Variant.t -> 'acc__2) ->
  output:('acc__2 -> kind Variantslib.Variant.t -> 'acc__3) ->
  'acc__3

val iter : 
  batch:(kind Variantslib.Variant.t -> Base.unit) ->
  input:(kind Variantslib.Variant.t -> Base.unit) ->
  output:(kind Variantslib.Variant.t -> Base.unit) ->
  Base.unit

val map : 
  kind ->
  batch:(kind Variantslib.Variant.t -> 'result__) ->
  input:(kind Variantslib.Variant.t -> 'result__) ->
  output:(kind Variantslib.Variant.t -> 'result__) ->
  'result__

val make_matcher : 
  batch:
    (kind Variantslib.Variant.t ->
      'acc__0 ->
      (Base.unit -> 'result__) * 'acc__1) ->
  input:
    (kind Variantslib.Variant.t ->
      'acc__1 ->
      (Base.unit -> 'result__) * 'acc__2) ->
  output:
    (kind Variantslib.Variant.t ->
      'acc__2 ->
      (Base.unit -> 'result__) * 'acc__3) ->
  'acc__0 ->
  (kind -> 'result__) * 'acc__3

val to_rank : kind -> Base.int

val to_name : kind -> Base.string

val descriptions : (Base.string * Base.int) Base.list