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

// @generated by torchgen/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 <optional>
#include <string_view>



#include <ATen/ops/new_full_ops.h>

namespace at {


namespace symint {
  template <typename T, typename = std::enable_if_t<std::is_same_v<T, int64_t>>>
  at::Tensor new_full(const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) {
    return at::_ops::new_full::call(self, c10::fromIntArrayRefSlow(size), fill_value, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
  }
}

namespace symint {
  template <typename T, typename = std::enable_if_t<std::is_same_v<T, int64_t>>>
  at::Tensor new_full(const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value, ::std::optional<at::ScalarType> dtype, ::std::optional<at::Layout> layout, ::std::optional<at::Device> device, ::std::optional<bool> pin_memory) {
    return at::_ops::new_full::call(self, c10::fromIntArrayRefSlow(size), fill_value, dtype, layout, device, pin_memory);
  }
}

namespace symint {
  template <typename T, typename = std::enable_if_t<std::is_same_v<T, c10::SymInt>>>
  at::Tensor new_full(const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) {
    return at::_ops::new_full::call(self, size, fill_value, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
  }
}

namespace symint {
  template <typename T, typename = std::enable_if_t<std::is_same_v<T, c10::SymInt>>>
  at::Tensor new_full(const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value, ::std::optional<at::ScalarType> dtype, ::std::optional<at::Layout> layout, ::std::optional<at::Device> device, ::std::optional<bool> pin_memory) {
    return at::_ops::new_full::call(self, size, fill_value, dtype, layout, device, pin_memory);
  }
}

// aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & new_full_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value) {
    return at::_ops::new_full_out::call(self, c10::fromIntArrayRefSlow(size), fill_value, out);
}
namespace symint {
  template <typename T, typename = std::enable_if_t<std::is_same_v<T, int64_t>>>
  at::Tensor & new_full_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value) {
    return at::_ops::new_full_out::call(self, c10::fromIntArrayRefSlow(size), fill_value, out);
  }
}

// aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & new_full_outf(const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value, at::Tensor & out) {
    return at::_ops::new_full_out::call(self, c10::fromIntArrayRefSlow(size), fill_value, out);
}
namespace symint {
  template <typename T, typename = std::enable_if_t<std::is_same_v<T, int64_t>>>
  at::Tensor & new_full_outf(const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value, at::Tensor & out) {
    return at::_ops::new_full_out::call(self, c10::fromIntArrayRefSlow(size), fill_value, out);
  }
}

// aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & new_full_symint_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value) {
    return at::_ops::new_full_out::call(self, size, fill_value, out);
}
namespace symint {
  template <typename T, typename = std::enable_if_t<std::is_same_v<T, c10::SymInt>>>
  at::Tensor & new_full_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value) {
    return at::_ops::new_full_out::call(self, size, fill_value, out);
  }
}

// aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & new_full_symint_outf(const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value, at::Tensor & out) {
    return at::_ops::new_full_out::call(self, size, fill_value, out);
}
namespace symint {
  template <typename T, typename = std::enable_if_t<std::is_same_v<T, c10::SymInt>>>
  at::Tensor & new_full_outf(const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value, at::Tensor & out) {
    return at::_ops::new_full_out::call(self, size, fill_value, out);
  }
}

}

#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)