#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 randint_like { using schema = at::Tensor (const at::Tensor &, int64_t, c10::optional, c10::optional, c10::optional, c10::optional, c10::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::randint_like") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "randint_like(Tensor self, int 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, int64_t high, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory, c10::optional memory_format); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t high, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory, c10::optional memory_format); }; struct TORCH_API randint_like_low_dtype { using schema = at::Tensor (const at::Tensor &, int64_t, int64_t, c10::optional, c10::optional, c10::optional, c10::optional, c10::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::randint_like") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "low_dtype") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "randint_like.low_dtype(Tensor self, int low, int 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, int64_t low, int64_t high, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory, c10::optional memory_format); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t low, int64_t high, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory, c10::optional memory_format); }; struct TORCH_API randint_like_out { using schema = at::Tensor & (const at::Tensor &, int64_t, c10::optional, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::randint_like") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "randint_like.out(Tensor self, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)") static at::Tensor & call(const at::Tensor & self, int64_t high, c10::optional memory_format, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t high, c10::optional memory_format, at::Tensor & out); }; struct TORCH_API randint_like_low_dtype_out { using schema = at::Tensor & (const at::Tensor &, int64_t, int64_t, c10::optional, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::randint_like") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "low_dtype_out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "randint_like.low_dtype_out(Tensor self, int low, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)") static at::Tensor & call(const at::Tensor & self, int64_t low, int64_t high, c10::optional memory_format, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t low, int64_t high, c10::optional memory_format, at::Tensor & out); }; }} // namespace at::_ops