#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 hsplit_int { using schema = ::std::vector (const at::Tensor &, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::hsplit") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "int") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "hsplit.int(Tensor(a -> *) self, int sections) -> Tensor(a)[]") static ::std::vector call(const at::Tensor & self, int64_t sections); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections); }; struct TORCH_API hsplit_array { using schema = ::std::vector (const at::Tensor &, at::IntArrayRef); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::hsplit") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "array") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "hsplit.array(Tensor(a -> *) self, int[] indices) -> Tensor(a)[]") static ::std::vector call(const at::Tensor & self, at::IntArrayRef indices); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices); }; }} // namespace at::_ops