package tensorflow

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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