#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 _fft_c2c { using schema = at::Tensor (const at::Tensor &, c10::SymIntArrayRef, int64_t, bool); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::_fft_c2c"; static constexpr const char* overload_name = ""; static constexpr const char* schema_str = "_fft_c2c(Tensor self, SymInt[] dim, int normalization, bool forward) -> Tensor"; static at::Tensor call(const at::Tensor & self, c10::SymIntArrayRef dim, int64_t normalization, bool forward); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef dim, int64_t normalization, bool forward); }; struct TORCH_API _fft_c2c_out { using schema = at::Tensor & (const at::Tensor &, c10::SymIntArrayRef, int64_t, bool, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::_fft_c2c"; static constexpr const char* overload_name = "out"; static constexpr const char* schema_str = "_fft_c2c.out(Tensor self, SymInt[] dim, int normalization, bool forward, *, Tensor(a!) out) -> Tensor(a!)"; static at::Tensor & call(const at::Tensor & self, c10::SymIntArrayRef dim, int64_t normalization, bool forward, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef dim, int64_t normalization, bool forward, at::Tensor & out); }; }} // namespace at::_ops