#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 randint_like { using schema = at::Tensor (const at::Tensor &, c10::SymInt, ::std::optional, ::std::optional, ::std::optional, ::std::optional, ::std::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::randint_like"; static constexpr const char* overload_name = ""; static constexpr const char* schema_str = "randint_like(Tensor self, SymInt high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor"; static at::Tensor call(const at::Tensor & self, c10::SymInt high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); }; struct TORCH_API randint_like_Tensor { using schema = at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional, ::std::optional, ::std::optional, ::std::optional, ::std::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::randint_like"; static constexpr const char* overload_name = "Tensor"; static constexpr const char* schema_str = "randint_like.Tensor(Tensor self, Tensor high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor"; static at::Tensor call(const at::Tensor & self, const at::Tensor & high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); }; struct TORCH_API randint_like_low_dtype { using schema = at::Tensor (const at::Tensor &, c10::SymInt, c10::SymInt, ::std::optional, ::std::optional, ::std::optional, ::std::optional, ::std::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::randint_like"; static constexpr const char* overload_name = "low_dtype"; static constexpr const char* schema_str = "randint_like.low_dtype(Tensor self, SymInt low, SymInt high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor"; static at::Tensor call(const at::Tensor & self, c10::SymInt low, c10::SymInt high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt low, c10::SymInt high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); }; struct TORCH_API randint_like_out { using schema = at::Tensor & (const at::Tensor &, c10::SymInt, ::std::optional, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::randint_like"; static constexpr const char* overload_name = "out"; static constexpr const char* schema_str = "randint_like.out(Tensor self, SymInt high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)"; static at::Tensor & call(const at::Tensor & self, c10::SymInt high, ::std::optional memory_format, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt high, ::std::optional memory_format, at::Tensor & out); }; struct TORCH_API randint_like_Tensor_out { using schema = at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::randint_like"; static constexpr const char* overload_name = "Tensor_out"; static constexpr const char* schema_str = "randint_like.Tensor_out(Tensor self, Tensor high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)"; static at::Tensor & call(const at::Tensor & self, const at::Tensor & high, ::std::optional memory_format, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & high, ::std::optional memory_format, at::Tensor & out); }; struct TORCH_API randint_like_low_dtype_out { using schema = at::Tensor & (const at::Tensor &, c10::SymInt, c10::SymInt, ::std::optional, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::randint_like"; static constexpr const char* overload_name = "low_dtype_out"; static constexpr const char* schema_str = "randint_like.low_dtype_out(Tensor self, SymInt low, SymInt high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)"; static at::Tensor & call(const at::Tensor & self, c10::SymInt low, c10::SymInt high, ::std::optional memory_format, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt low, c10::SymInt high, ::std::optional memory_format, at::Tensor & out); }; }} // namespace at::_ops