#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 flatten_using_ints { using schema = at::Tensor (const at::Tensor &, int64_t, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::flatten"; static constexpr const char* overload_name = "using_ints"; static constexpr const char* schema_str = "flatten.using_ints(Tensor(a) self, int start_dim=0, int end_dim=-1) -> Tensor(a)"; static at::Tensor call(const at::Tensor & self, int64_t start_dim, int64_t end_dim); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t start_dim, int64_t end_dim); }; struct TORCH_API flatten_named_out_dim { using schema = at::Tensor (const at::Tensor &, int64_t, int64_t, at::Dimname); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::flatten"; static constexpr const char* overload_name = "named_out_dim"; static constexpr const char* schema_str = "flatten.named_out_dim(Tensor(a) self, int start_dim, int end_dim, Dimname out_dim) -> Tensor(a)"; static at::Tensor call(const at::Tensor & self, int64_t start_dim, int64_t end_dim, at::Dimname out_dim); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t start_dim, int64_t end_dim, at::Dimname out_dim); }; struct TORCH_API flatten_using_names { using schema = at::Tensor (const at::Tensor &, at::Dimname, at::Dimname, at::Dimname); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::flatten"; static constexpr const char* overload_name = "using_names"; static constexpr const char* schema_str = "flatten.using_names(Tensor(a) self, Dimname start_dim, Dimname end_dim, Dimname out_dim) -> Tensor(a)"; static at::Tensor call(const at::Tensor & self, at::Dimname start_dim, at::Dimname end_dim, at::Dimname out_dim); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname start_dim, at::Dimname end_dim, at::Dimname out_dim); }; struct TORCH_API flatten_DimnameList { using schema = at::Tensor (const at::Tensor &, at::DimnameList, at::Dimname); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::flatten"; static constexpr const char* overload_name = "DimnameList"; static constexpr const char* schema_str = "flatten.DimnameList(Tensor(a) self, Dimname[] dims, Dimname out_dim) -> Tensor(a)"; static at::Tensor call(const at::Tensor & self, at::DimnameList dims, at::Dimname out_dim); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dims, at::Dimname out_dim); }; }} // namespace at::_ops