Viewing File: /home/ubuntu/combine_ai/combine/lib/python3.10/site-packages/torch/include/ATen/ops/_unique_ops.h
#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 _unique {
using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, bool, bool);
using ptr_schema = schema*;
// See Note [static constexpr char* members for windows NVCC]
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_unique")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_unique(Tensor self, bool sorted=True, bool return_inverse=False) -> (Tensor, Tensor)")
static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, bool sorted, bool return_inverse);
static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool sorted, bool return_inverse);
};
struct TORCH_API _unique_out {
using schema = ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, bool, 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::_unique")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_unique.out(Tensor self, bool sorted=True, bool return_inverse=False, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))")
static ::std::tuple<at::Tensor &,at::Tensor &> call(const at::Tensor & self, bool sorted, bool return_inverse, at::Tensor & out0, at::Tensor & out1);
static ::std::tuple<at::Tensor &,at::Tensor &> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool sorted, bool return_inverse, at::Tensor & out0, at::Tensor & out1);
};
}} // namespace at::_ops
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