#pragma once // @generated by torchgen/gen.py from Function.h #include #include #include #include #include #include #include #include #include #include #include #include #include namespace at { // aten::fft_fft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor inline at::Tensor fft_fft(const at::Tensor & self, ::std::optional n=::std::nullopt, int64_t dim=-1, ::std::optional norm=::std::nullopt) { return at::_ops::fft_fft::call(self, n.has_value() ? ::std::make_optional(c10::SymInt(*n)) : ::std::nullopt, dim, norm); } namespace symint { template ::value>> at::Tensor fft_fft(const at::Tensor & self, ::std::optional n=::std::nullopt, int64_t dim=-1, ::std::optional norm=::std::nullopt) { return at::_ops::fft_fft::call(self, n.has_value() ? ::std::make_optional(c10::SymInt(*n)) : ::std::nullopt, dim, norm); } } // aten::fft_fft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor inline at::Tensor fft_fft_symint(const at::Tensor & self, ::std::optional n=::std::nullopt, int64_t dim=-1, ::std::optional norm=::std::nullopt) { return at::_ops::fft_fft::call(self, n, dim, norm); } namespace symint { template ::value>> at::Tensor fft_fft(const at::Tensor & self, ::std::optional n=::std::nullopt, int64_t dim=-1, ::std::optional norm=::std::nullopt) { return at::_ops::fft_fft::call(self, n, dim, norm); } } // aten::fft_fft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & fft_fft_out(at::Tensor & out, const at::Tensor & self, ::std::optional n=::std::nullopt, int64_t dim=-1, ::std::optional norm=::std::nullopt) { return at::_ops::fft_fft_out::call(self, n.has_value() ? ::std::make_optional(c10::SymInt(*n)) : ::std::nullopt, dim, norm, out); } namespace symint { template ::value>> at::Tensor & fft_fft_out(at::Tensor & out, const at::Tensor & self, ::std::optional n=::std::nullopt, int64_t dim=-1, ::std::optional norm=::std::nullopt) { return at::_ops::fft_fft_out::call(self, n.has_value() ? ::std::make_optional(c10::SymInt(*n)) : ::std::nullopt, dim, norm, out); } } // aten::fft_fft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & fft_fft_outf(const at::Tensor & self, ::std::optional n, int64_t dim, ::std::optional norm, at::Tensor & out) { return at::_ops::fft_fft_out::call(self, n.has_value() ? ::std::make_optional(c10::SymInt(*n)) : ::std::nullopt, dim, norm, out); } namespace symint { template ::value>> at::Tensor & fft_fft_outf(const at::Tensor & self, ::std::optional n, int64_t dim, ::std::optional norm, at::Tensor & out) { return at::_ops::fft_fft_out::call(self, n.has_value() ? ::std::make_optional(c10::SymInt(*n)) : ::std::nullopt, dim, norm, out); } } // aten::fft_fft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & fft_fft_symint_out(at::Tensor & out, const at::Tensor & self, ::std::optional n=::std::nullopt, int64_t dim=-1, ::std::optional norm=::std::nullopt) { return at::_ops::fft_fft_out::call(self, n, dim, norm, out); } namespace symint { template ::value>> at::Tensor & fft_fft_out(at::Tensor & out, const at::Tensor & self, ::std::optional n=::std::nullopt, int64_t dim=-1, ::std::optional norm=::std::nullopt) { return at::_ops::fft_fft_out::call(self, n, dim, norm, out); } } // aten::fft_fft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & fft_fft_symint_outf(const at::Tensor & self, ::std::optional n, int64_t dim, ::std::optional norm, at::Tensor & out) { return at::_ops::fft_fft_out::call(self, n, dim, norm, out); } namespace symint { template ::value>> at::Tensor & fft_fft_outf(const at::Tensor & self, ::std::optional n, int64_t dim, ::std::optional norm, at::Tensor & out) { return at::_ops::fft_fft_out::call(self, n, dim, norm, out); } } }