#pragma once

// @generated by tools/codegen/gen.py from Function.h

#include <ATen/Context.h>
#include <ATen/DeviceGuard.h>
#include <ATen/TensorUtils.h>
#include <ATen/TracerMode.h>
#include <ATen/core/Generator.h>
#include <ATen/core/Reduction.h>
#include <ATen/core/Tensor.h>
#include <c10/core/Scalar.h>
#include <c10/core/Storage.h>
#include <c10/core/TensorOptions.h>
#include <c10/util/Deprecated.h>
#include <c10/util/Optional.h>



#include <ATen/ops/nanquantile_ops.h>

namespace at {


// aten::nanquantile(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor
TORCH_API inline at::Tensor nanquantile(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") {
    return at::_ops::nanquantile::call(self, q, dim, keepdim, interpolation);
}

// aten::nanquantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!)
TORCH_API inline at::Tensor & nanquantile_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") {
    return at::_ops::nanquantile_out::call(self, q, dim, keepdim, interpolation, out);
}

// aten::nanquantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!)
TORCH_API inline at::Tensor & nanquantile_outf(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) {
    return at::_ops::nanquantile_out::call(self, q, dim, keepdim, interpolation, out);
}

// aten::nanquantile.scalar(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor
TORCH_API inline at::Tensor nanquantile(const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") {
    return at::_ops::nanquantile_scalar::call(self, q, dim, keepdim, interpolation);
}

// aten::nanquantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!)
TORCH_API inline at::Tensor & nanquantile_out(at::Tensor & out, const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") {
    return at::_ops::nanquantile_scalar_out::call(self, q, dim, keepdim, interpolation, out);
}

// aten::nanquantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!)
TORCH_API inline at::Tensor & nanquantile_outf(const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) {
    return at::_ops::nanquantile_scalar_out::call(self, q, dim, keepdim, interpolation, out);
}

}
