#pragma once

// @generated by torchgen/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 <optional>



#include <ATen/ops/lerp_ops.h>

namespace at {


// aten::lerp.Scalar_out(Tensor self, Tensor end, Scalar weight, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & lerp_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & end, const at::Scalar & weight) {
    return at::_ops::lerp_Scalar_out::call(self, end, weight, out);
}
// aten::lerp.Scalar_out(Tensor self, Tensor end, Scalar weight, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & lerp_outf(const at::Tensor & self, const at::Tensor & end, const at::Scalar & weight, at::Tensor & out) {
    return at::_ops::lerp_Scalar_out::call(self, end, weight, out);
}

// aten::lerp.Tensor_out(Tensor self, Tensor end, Tensor weight, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & lerp_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & end, const at::Tensor & weight) {
    return at::_ops::lerp_Tensor_out::call(self, end, weight, out);
}
// aten::lerp.Tensor_out(Tensor self, Tensor end, Tensor weight, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & lerp_outf(const at::Tensor & self, const at::Tensor & end, const at::Tensor & weight, at::Tensor & out) {
    return at::_ops::lerp_Tensor_out::call(self, end, weight, out);
}

// aten::lerp.Scalar(Tensor self, Tensor end, Scalar weight) -> Tensor
inline at::Tensor lerp(const at::Tensor & self, const at::Tensor & end, const at::Scalar & weight) {
    return at::_ops::lerp_Scalar::call(self, end, weight);
}

// aten::lerp.Tensor(Tensor self, Tensor end, Tensor weight) -> Tensor
inline at::Tensor lerp(const at::Tensor & self, const at::Tensor & end, const at::Tensor & weight) {
    return at::_ops::lerp_Tensor::call(self, end, weight);
}

}
