#pragma once // @generated by torchgen/gen.py from Operator.h #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 index_Tensor { using schema = at::Tensor (const at::Tensor &, const c10::List<::std::optional> &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::index") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "index.Tensor(Tensor self, Tensor?[] indices) -> Tensor") static at::Tensor call(const at::Tensor & self, const c10::List<::std::optional> & indices); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<::std::optional> & indices); }; struct TORCH_API index_Tensor_out { using schema = at::Tensor & (const at::Tensor &, const c10::List<::std::optional> &, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::index") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor_out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "index.Tensor_out(Tensor self, Tensor?[] indices, *, Tensor(a!) out) -> Tensor(a!)") static at::Tensor & call(const at::Tensor & self, const c10::List<::std::optional> & indices, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<::std::optional> & indices, at::Tensor & out); }; }} // namespace at::_ops