#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 tril_indices { using schema = at::Tensor (int64_t, int64_t, int64_t, c10::optional, c10::optional, c10::optional, c10::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::tril_indices") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "tril_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor") static at::Tensor call(int64_t row, int64_t col, int64_t offset, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory); }; struct TORCH_API tril_indices_out { using schema = at::Tensor & (int64_t, int64_t, int64_t, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::tril_indices") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "tril_indices.out(int row, int col, int offset=0, *, Tensor(a!) out) -> Tensor(a!)") static at::Tensor & call(int64_t row, int64_t col, int64_t offset, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset, at::Tensor & out); }; }} // namespace at::_ops