Variants_of_dim (neural_nets_lib.Ocannl.Row.Variants_of

val var : (dim_var -> dim) Variantslib.Variant.t

val dim : 
  (d:Base.int ->
    label:Base.string Base.option ->
    proj_id:Base.int Base.option ->
    dim)
    Variantslib.Variant.t

val fold : 
  init:'acc__0 ->
  var:('acc__0 -> (dim_var -> dim) Variantslib.Variant.t -> 'acc__1) ->
  dim:
    ('acc__1 ->
      (d:Base.int ->
        label:Base.string Base.option ->
        proj_id:Base.int Base.option ->
        dim)
        Variantslib.Variant.t ->
      'acc__2) ->
  'acc__2

val iter : 
  var:((dim_var -> dim) Variantslib.Variant.t -> Base.unit) ->
  dim:
    ((d:Base.int ->
       label:Base.string Base.option ->
       proj_id:Base.int Base.option ->
       dim)
       Variantslib.Variant.t ->
      Base.unit) ->
  Base.unit

val map : 
  dim ->
  var:((dim_var -> dim) Variantslib.Variant.t -> dim_var -> 'result__) ->
  dim:
    ((d:Base.int ->
       label:Base.string Base.option ->
       proj_id:Base.int Base.option ->
       dim)
       Variantslib.Variant.t ->
      d:Base.int ->
      label:Base.string Base.option ->
      proj_id:Base.int Base.option ->
      'result__) ->
  'result__

val make_matcher : 
  var:
    ((dim_var -> dim) Variantslib.Variant.t ->
      'acc__0 ->
      (dim_var -> 'result__) * 'acc__1) ->
  dim:
    ((d:Base.int ->
       label:Base.string Base.option ->
       proj_id:Base.int Base.option ->
       dim)
       Variantslib.Variant.t ->
      'acc__1 ->
      (d:Base.int ->
      label:Base.string Base.option ->
      proj_id:Base.int Base.option ->
      'result__)
      * 'acc__2) ->
  'acc__0 ->
  (dim -> 'result__) * 'acc__2

val to_rank : dim -> Base.int

val to_name : dim -> Base.string

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