package torch

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type t = unit Ctypes.ptr
val t : t Ctypes.typ
val tensor_of_data : (unit Ctypes_static.ptr -> int64 Ctypes_static.ptr -> int -> int -> int -> t Torch_generated.return) Torch_generated.result
val copy_data : (t -> unit Ctypes_static.ptr -> int64 -> int -> unit Torch_generated.return) Torch_generated.result
val float_vec : (float Ctypes_static.ptr -> int -> int -> t Torch_generated.return) Torch_generated.result
val int_vec : (int64 Ctypes_static.ptr -> int -> int -> t Torch_generated.return) Torch_generated.result
val backward : (t -> int -> int -> unit Torch_generated.return) Torch_generated.result
val requires_grad : (t -> int Torch_generated.return) Torch_generated.result
val grad_set_enabled : (int -> int Torch_generated.return) Torch_generated.result
val double_value : (t -> int Ctypes_static.ptr -> int -> float Torch_generated.return) Torch_generated.result
val int64_value : (t -> int Ctypes_static.ptr -> int -> int64 Torch_generated.return) Torch_generated.result
val double_value_set : (t -> int Ctypes_static.ptr -> int -> float -> unit Torch_generated.return) Torch_generated.result
val int64_value_set : (t -> int Ctypes_static.ptr -> int -> int64 -> unit Torch_generated.return) Torch_generated.result
val fill_double : (t -> float -> unit Torch_generated.return) Torch_generated.result
val fill_int64 : (t -> int64 -> unit Torch_generated.return) Torch_generated.result
val to_string : (t -> int -> string Torch_generated.return) Torch_generated.result
val run_backward : (t Ctypes_static.ptr -> int -> t Ctypes_static.ptr -> int -> t Ctypes_static.ptr -> int -> int -> unit Torch_generated.return) Torch_generated.result