#pragma once // @generated by torchgen/gen.py from Function.h #include #include #include #include #include #include #include #include #include #include #include #include #include namespace at { // aten::unique_consecutive(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None) -> (Tensor, Tensor, Tensor) inline ::std::tuple unique_consecutive(const at::Tensor & self, bool return_inverse=false, bool return_counts=false, c10::optional dim=c10::nullopt) { return at::_ops::unique_consecutive::call(self, return_inverse, return_counts, dim); } // aten::unique_consecutive.out(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) inline ::std::tuple unique_consecutive_out(at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, bool return_inverse=false, bool return_counts=false, c10::optional dim=c10::nullopt) { return at::_ops::unique_consecutive_out::call(self, return_inverse, return_counts, dim, out0, out1, out2); } // aten::unique_consecutive.out(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) inline ::std::tuple unique_consecutive_outf(const at::Tensor & self, bool return_inverse, bool return_counts, c10::optional dim, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { return at::_ops::unique_consecutive_out::call(self, return_inverse, return_counts, dim, out0, out1, out2); } }