#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::bernoulli(Tensor self, *, Generator? generator=None) -> Tensor inline at::Tensor bernoulli(const at::Tensor & self, ::std::optional generator=::std::nullopt) { return at::_ops::bernoulli::call(self, generator); } // aten::bernoulli.out(Tensor self, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & bernoulli_out(at::Tensor & out, const at::Tensor & self, ::std::optional generator=::std::nullopt) { return at::_ops::bernoulli_out::call(self, generator, out); } // aten::bernoulli.out(Tensor self, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & bernoulli_outf(const at::Tensor & self, ::std::optional generator, at::Tensor & out) { return at::_ops::bernoulli_out::call(self, generator, out); } // aten::bernoulli.p(Tensor self, float p, *, Generator? generator=None) -> Tensor inline at::Tensor bernoulli(const at::Tensor & self, double p, ::std::optional generator=::std::nullopt) { return at::_ops::bernoulli_p::call(self, p, generator); } // aten::bernoulli.Tensor_out(Tensor self, Tensor p, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & bernoulli_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & p, ::std::optional generator=::std::nullopt) { return at::_ops::bernoulli_Tensor_out::call(self, p, generator, out); } // aten::bernoulli.Tensor_out(Tensor self, Tensor p, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & bernoulli_outf(const at::Tensor & self, const at::Tensor & p, ::std::optional generator, at::Tensor & out) { return at::_ops::bernoulli_Tensor_out::call(self, p, generator, out); } // aten::bernoulli.Tensor(Tensor self, Tensor p, *, Generator? generator=None) -> Tensor inline at::Tensor bernoulli(const at::Tensor & self, const at::Tensor & p, ::std::optional generator=::std::nullopt) { return at::_ops::bernoulli_Tensor::call(self, p, generator); } // aten::bernoulli.float_out(Tensor self, float p=0.5, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & bernoulli_out(at::Tensor & out, const at::Tensor & self, double p=0.5, ::std::optional generator=::std::nullopt) { return at::_ops::bernoulli_float_out::call(self, p, generator, out); } // aten::bernoulli.float_out(Tensor self, float p=0.5, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & bernoulli_outf(const at::Tensor & self, double p, ::std::optional generator, at::Tensor & out) { return at::_ops::bernoulli_float_out::call(self, p, generator, out); } }