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- #pragma once
- // @generated by torchgen/gen.py from Operator.h
- #include <tuple>
- #include <vector>
- // 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 <ATen/core/ATen_fwd.h>
- namespace at {
- namespace _ops {
- struct TORCH_API kthvalue {
- using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, int64_t, bool);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::kthvalue")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "kthvalue(Tensor self, int k, int dim=-1, bool keepdim=False) -> (Tensor values, Tensor indices)")
- static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, int64_t k, int64_t dim, bool keepdim);
- static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim, bool keepdim);
- };
- struct TORCH_API kthvalue_values {
- using schema = ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, int64_t, int64_t, bool, at::Tensor &, at::Tensor &);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::kthvalue")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "values")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "kthvalue.values(Tensor self, int k, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)")
- static ::std::tuple<at::Tensor &,at::Tensor &> call(const at::Tensor & self, int64_t k, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices);
- static ::std::tuple<at::Tensor &,at::Tensor &> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices);
- };
- struct TORCH_API kthvalue_dimname {
- using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, at::Dimname, bool);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::kthvalue")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "dimname")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "kthvalue.dimname(Tensor self, int k, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices)")
- static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim);
- static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim);
- };
- struct TORCH_API kthvalue_dimname_out {
- using schema = ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, int64_t, at::Dimname, bool, at::Tensor &, at::Tensor &);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::kthvalue")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "dimname_out")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "kthvalue.dimname_out(Tensor self, int k, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)")
- static ::std::tuple<at::Tensor &,at::Tensor &> call(const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices);
- static ::std::tuple<at::Tensor &,at::Tensor &> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices);
- };
- }} // namespace at::_ops
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