#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 split_Tensor { using schema = ::std::vector (const at::Tensor &, c10::SymInt, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::split"; static constexpr const char* overload_name = "Tensor"; static constexpr const char* schema_str = "split.Tensor(Tensor(a -> *) self, SymInt split_size, int dim=0) -> Tensor(a)[]"; static ::std::vector call(const at::Tensor & self, c10::SymInt split_size, int64_t dim); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt split_size, int64_t dim); }; struct TORCH_API split_sizes { using schema = ::std::vector (const at::Tensor &, c10::SymIntArrayRef, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::split"; static constexpr const char* overload_name = "sizes"; static constexpr const char* schema_str = "split.sizes(Tensor(a -> *) self, SymInt[] split_size, int dim=0) -> Tensor(a)[]"; static ::std::vector call(const at::Tensor & self, c10::SymIntArrayRef split_size, int64_t dim); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef split_size, int64_t dim); }; }} // namespace at::_ops