#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 embedding { using schema = at::Tensor (const at::Tensor &, const at::Tensor &, c10::SymInt, bool, bool); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::embedding") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "embedding(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -> Tensor") static at::Tensor call(const at::Tensor & weight, const at::Tensor & indices, c10::SymInt padding_idx, bool scale_grad_by_freq, bool sparse); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, c10::SymInt padding_idx, bool scale_grad_by_freq, bool sparse); }; struct TORCH_API embedding_out { using schema = at::Tensor & (const at::Tensor &, const at::Tensor &, c10::SymInt, bool, bool, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::embedding") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "embedding.out(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False, *, Tensor(a!) out) -> Tensor(a!)") static at::Tensor & call(const at::Tensor & weight, const at::Tensor & indices, c10::SymInt padding_idx, bool scale_grad_by_freq, bool sparse, at::Tensor & out); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, c10::SymInt padding_idx, bool scale_grad_by_freq, bool sparse, at::Tensor & out); }; }} // namespace at::_ops