package owl

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package owl
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Module
Module type
Parameter
Class
Class type
module A : sig ... end
type t = Owl_neural_generic.Make_Embedded(Owl_dense_ndarray.S).Neuron.Optimise.Algodiff.t =
  1. | F of A.elt
  2. | Arr of A.arr
  3. | DF of t * t * int
  4. | DR of t * t Stdlib.ref * trace_op * int Stdlib.ref * int * int Stdlib.ref
module Maths : sig ... end
module Mat : sig ... end
module Arr : sig ... end
val diff : (t -> t) -> t -> t
val diff' : (t -> t) -> t -> t * t
val grad : (t -> t) -> t -> t
val grad' : (t -> t) -> t -> t * t
val jacobian : (t -> t) -> t -> t
val jacobian' : (t -> t) -> t -> t * t
val jacobianv : (t -> t) -> t -> t -> t
val jacobianv' : (t -> t) -> t -> t -> t * t
val jacobianTv : (t -> t) -> t -> t -> t
val jacobianTv' : (t -> t) -> t -> t -> t * t
val hessian : (t -> t) -> t -> t
val hessian' : (t -> t) -> t -> t * t
val hessianv : (t -> t) -> t -> t -> t
val hessianv' : (t -> t) -> t -> t -> t * t
val laplacian : (t -> t) -> t -> t
val laplacian' : (t -> t) -> t -> t * t
val gradhessian : (t -> t) -> t -> t * t
val gradhessian' : (t -> t) -> t -> t * t * t
val gradhessianv : (t -> t) -> t -> t -> t * t
val gradhessianv' : (t -> t) -> t -> t -> t * t * t
val pack_elt : A.elt -> t
val unpack_elt : t -> A.elt
val pack_flt : float -> t
val unpack_flt : t -> float
val pack_arr : A.arr -> t
val unpack_arr : t -> A.arr
val tag : unit -> int
val primal : t -> t
val primal' : t -> t
val adjval : t -> t
val adjref : t -> t Stdlib.ref
val tangent : t -> t
val make_forward : t -> t -> int -> t
val make_reverse : t -> int -> t
val reverse_prop : t -> t -> unit
val type_info : t -> string
val shape : t -> int array
val copy_primal' : t -> t
val _f : float -> t
val clip_by_value : amin:A.elt -> amax:A.elt -> t -> t
val clip_by_l2norm : A.elt -> t -> t
val to_trace : t list -> string
val to_dot : t list -> string
val pp_num : Stdlib.Format.formatter -> t -> unit
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