#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION) #pragma once // @generated by torchgen/gen.py from Operator.h #include #include #include // Forward declarations of any types needed in the operator signatures. // We can't directly include these classes because it will cause circular include dependencies. // This file is included by TensorBody.h, which defines the Tensor class. #include namespace at { namespace _ops { struct TORCH_API _foreach_powsum_Scalar { using schema = ::std::vector (at::TensorList, const at::Scalar &, ::std::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::_foreach_powsum"; static constexpr const char* overload_name = "Scalar"; static constexpr const char* schema_str = "_foreach_powsum.Scalar(Tensor[] self, Scalar ord=2, ScalarType? dtype=None) -> Tensor[]"; static ::std::vector call(at::TensorList self, const at::Scalar & ord, ::std::optional dtype); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & ord, ::std::optional dtype); }; struct TORCH_API _foreach_powsum_Scalar_out { using schema = void (at::TensorList, const at::Scalar &, ::std::optional, at::TensorList); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::_foreach_powsum"; static constexpr const char* overload_name = "Scalar_out"; static constexpr const char* schema_str = "_foreach_powsum.Scalar_out(Tensor[] self, Scalar ord=2, ScalarType? dtype=None, *, Tensor(a!)[] out) -> ()"; static void call(at::TensorList self, const at::Scalar & ord, ::std::optional dtype, at::TensorList out); static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & ord, ::std::optional dtype, at::TensorList out); }; }} // namespace at::_ops #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)