#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::scalar_tensor(Scalar s, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor scalar_tensor(const at::Scalar & s, at::TensorOptions options={}) { return at::_ops::scalar_tensor::call(s, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); } // aten::scalar_tensor(Scalar s, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor scalar_tensor(const at::Scalar & s, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory) { return at::_ops::scalar_tensor::call(s, dtype, layout, device, pin_memory); } // aten::scalar_tensor.out(Scalar s, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & scalar_tensor_out(at::Tensor & out, const at::Scalar & s) { return at::_ops::scalar_tensor_out::call(s, out); } // aten::scalar_tensor.out(Scalar s, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & scalar_tensor_outf(const at::Scalar & s, at::Tensor & out) { return at::_ops::scalar_tensor_out::call(s, out); } }