#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 <c10/util/Optional.h>
#include <c10/core/QScheme.h>
#include <ATen/core/Reduction.h>
#include <ATen/core/Tensor.h>
#include <tuple>
#include <vector>


namespace at {
namespace native {
TORCH_API at::Tensor _sparse_log_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt);
TORCH_API at::Tensor _sparse_log_softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt);
TORCH_API at::Tensor & _sparse_log_softmax_out(const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out);
TORCH_API at::Tensor log_softmax_sparse_cpu(const at::Tensor & self, int64_t dim, bool half_to_float);
TORCH_API at::Tensor log_softmax_sparse_cuda(const at::Tensor & self, int64_t dim, bool half_to_float);
} // namespace native
} // namespace at