#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION) #pragma once // @generated by torchgen/gen.py from Function.h #include #include #include #include #include #include #include #include #include #include #include #include #include #include namespace at { // aten::argsort(Tensor self, int dim=-1, bool descending=False) -> Tensor inline at::Tensor argsort(const at::Tensor & self, int64_t dim=-1, bool descending=false) { return at::_ops::argsort::call(self, dim, descending); } // aten::argsort.stable(Tensor self, *, bool stable, int dim=-1, bool descending=False) -> Tensor inline at::Tensor argsort(const at::Tensor & self, bool stable, int64_t dim=-1, bool descending=false) { return at::_ops::argsort_stable::call(self, stable, dim, descending); } // aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & argsort_out(at::Tensor & out, const at::Tensor & self, bool stable, int64_t dim=-1, bool descending=false) { return at::_ops::argsort_stable_out::call(self, stable, dim, descending, out); } // aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & argsort_outf(const at::Tensor & self, bool stable, int64_t dim, bool descending, at::Tensor & out) { return at::_ops::argsort_stable_out::call(self, stable, dim, descending, out); } } #else #error "This file should not be included when either TORCH_STABLE_ONLY or TORCH_TARGET_VERSION is defined." #endif // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)