#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)
#pragma once

// @generated by torchgen/gen.py from NativeFunction.h

#include <c10/core/Scalar.h>
#include <c10/core/Storage.h>
#include <c10/core/TensorOptions.h>
#include <c10/util/Deprecated.h>
#include <optional>
#include <c10/core/QScheme.h>
#include <ATen/core/Reduction.h>
#include <ATen/core/Tensor.h>
#include <tuple>
#include <vector>
#include <ATen/ops/nll_loss_backward_meta.h>

namespace at {
namespace native {
struct TORCH_API structured_nll_loss_backward_out_cpu : public at::meta::structured_nll_loss_backward {
void impl(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, at::OptionalTensorRef weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight, const at::Tensor & grad_input);
};
struct TORCH_API structured_nll_loss_backward_out_cuda : public at::meta::structured_nll_loss_backward {
void impl(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, at::OptionalTensorRef weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight, const at::Tensor & grad_input);
};
} // namespace native
} // namespace at

#else
#error "This file should not be included when either TORCH_STABLE_ONLY or TORCH_TARGET_VERSION is defined."
#endif  // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)