#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 & to_sparse_sparse_dim_out(const at::Tensor & self, int64_t sparse_dim, at::Tensor & out);
TORCH_API at::Tensor dense_to_sparse(const at::Tensor & self, int64_t sparse_dim);
TORCH_API at::Tensor sparse_coo_to_sparse(const at::Tensor & self, int64_t sparse_dim);
TORCH_API at::Tensor sparse_compressed_to_sparse(const at::Tensor & self, int64_t sparse_dim);
TORCH_API at::Tensor & to_sparse_out(const at::Tensor & self, c10::optional<at::Layout> layout, at::OptionalIntArrayRef blocksize, c10::optional<int64_t> dense_dim, at::Tensor & out);
TORCH_API at::Tensor dense_to_sparse(const at::Tensor & self, c10::optional<at::Layout> layout=c10::nullopt, at::OptionalIntArrayRef blocksize=c10::nullopt, c10::optional<int64_t> dense_dim=c10::nullopt);
TORCH_API at::Tensor sparse_coo_to_sparse(const at::Tensor & self, c10::optional<at::Layout> layout=c10::nullopt, at::OptionalIntArrayRef blocksize=c10::nullopt, c10::optional<int64_t> dense_dim=c10::nullopt);
TORCH_API at::Tensor sparse_compressed_to_sparse(const at::Tensor & self, c10::optional<at::Layout> layout=c10::nullopt, at::OptionalIntArrayRef blocksize=c10::nullopt, c10::optional<int64_t> dense_dim=c10::nullopt);
} // namespace native
} // namespace at