#pragma once

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

#include <string_view>
#include <tuple>
#include <vector>

// Forward declarations of any types needed in the operator signatures.
// We can't directly include these classes because it will cause circular include dependencies.
// This file is included by TensorBody.h, which defines the Tensor class.
#include <ATen/core/ATen_fwd.h>

namespace at {
namespace _ops {


struct TORCH_API dsplit_int {
  using schema = ::std::vector<at::Tensor> (const at::Tensor &, int64_t);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::dsplit";
  static constexpr const char* overload_name = "int";
  static constexpr const char* schema_str = "dsplit.int(Tensor(a -> *) self, int sections) -> Tensor(a)[]";
  static ::std::vector<at::Tensor> call(const at::Tensor & self, int64_t sections);
  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections);
};

struct TORCH_API dsplit_array {
  using schema = ::std::vector<at::Tensor> (const at::Tensor &, at::IntArrayRef);
  using ptr_schema = schema*;
  // See Note [static constexpr char* members for windows NVCC]
  static constexpr const char* name = "aten::dsplit";
  static constexpr const char* overload_name = "array";
  static constexpr const char* schema_str = "dsplit.array(Tensor(a -> *) self, int[] indices) -> Tensor(a)[]";
  static ::std::vector<at::Tensor> call(const at::Tensor & self, at::IntArrayRef indices);
  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices);
};

}} // namespace at::_ops