package tensorflow

You can search for identifiers within the package.

in-package search v0.2.0

Legend:
Library
Module
Module type
Parameter
Class
Class type

val create : int list -> type_:'a Node.Type.t -> init:'a Node.t -> 'a Node.t

val float : int list -> init:[ `float ] Node.t -> [ `float ] Node.t

val double : int list -> init:[ `double ] Node.t -> [ `double ] Node.t

val f_or_d : 
  int list ->
  float ->
  type_:[< `float | `double ] as 'a Node.Type.t ->
  'a Node.t

val f : int list -> float -> [ `float ] Node.t

val d : int list -> float -> [ `double ] Node.t

val normal : 
  int list ->
  stddev:float ->
  type_:[< `float | `double ] as 'a Node.Type.t ->
  'a Node.t

val normalf : int list -> stddev:float -> [ `float ] Node.t

val normald : int list -> stddev:float -> [ `double ] Node.t

val truncated_normal : 
  int list ->
  stddev:float ->
  type_:[< `float | `double ] as 'a Node.Type.t ->
  'a Node.t

val truncated_normalf : int list -> stddev:float -> [ `float ] Node.t

val truncated_normald : int list -> stddev:float -> [ `double ] Node.t

val uniform : 
  int list ->
  lo:float ->
  hi:float ->
  type_:[< `float | `double ] as 'a Node.Type.t ->
  'a Node.t

val uniformf : int list -> lo:float -> hi:float -> [ `float ] Node.t

val uniformd : int list -> lo:float -> hi:float -> [ `double ] Node.t

val load_f : int list -> filename:string -> tensor:string -> [ `float ] Node.t

val load_d : int list -> filename:string -> tensor:string -> [ `double ] Node.t

val get_init : 'a Node.t -> 'a Node.t option

val get_all_vars : 'a Node.t -> Node.p list