text: #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/l1_loss_ops.h>
  
  namespace at {
  
  
  // aten::l1_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
  TORCH_API inline at::Tensor & l1_loss_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
      return at::_ops::l1_loss_out::call(self, target, reduction, out);
  }
  
  // aten::l1_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!)
  TORCH_API inline at::Tensor & l1_loss_outf(const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) {
      return at::_ops::l1_loss_out::call(self, target, reduction, out);
  }
  
  // aten::l1_loss(Tensor self, Tensor target, int reduction=Mean) -> Tensor
  TORCH_API inline at::Tensor l1_loss(const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) {
      return at::_ops::l1_loss::call(self, target, reduction);
  }
  
  }
  