#pragma once // @generated by torchgen/gen.py from Operator.h #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 multiply_Tensor { using schema = at::Tensor (const at::Tensor &, const at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::multiply") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply.Tensor(Tensor self, Tensor other) -> Tensor") static at::Tensor call(const at::Tensor & self, const at::Tensor & other); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other); }; struct TORCH_API multiply__Tensor { using schema = at::Tensor & (at::Tensor &, const at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::multiply_") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)") static at::Tensor & call(at::Tensor & self, const at::Tensor & other); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other); }; struct TORCH_API multiply_out { using schema = at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::multiply") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)") static at::Tensor & call(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out); }; struct TORCH_API multiply_Scalar { using schema = at::Tensor (const at::Tensor &, const at::Scalar &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::multiply") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply.Scalar(Tensor self, Scalar other) -> Tensor") static at::Tensor call(const at::Tensor & self, const at::Scalar & other); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other); }; struct TORCH_API multiply__Scalar { using schema = at::Tensor & (at::Tensor &, const at::Scalar &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::multiply_") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)") static at::Tensor & call(at::Tensor & self, const at::Scalar & other); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other); }; }} // namespace at::_ops