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torch / include / torch / csrc / profiler / python / pybind.h
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#pragma once

#include <pybind11/pybind11.h>

#include <c10/util/strong_type.h>
#include <torch/csrc/utils/pybind.h>
#include <torch/csrc/utils/python_numbers.h>

namespace pybind11 {
namespace detail {
// Strong typedefs don't make much sense in Python since everything is duck
// typed. So instead we simply extract the underlying value and let the caller
// handle correctness.
template <typename T>
struct strong_pointer_type_caster {
  template <typename T_>
  static handle cast(
      T_&& src,
      return_value_policy /*policy*/,
      handle /*parent*/) {
    const auto* ptr = reinterpret_cast<const void*>(src.value_of());
    return ptr ? handle(THPUtils_packUInt64(reinterpret_cast<intptr_t>(ptr)))
               : none();
  }

  bool load(handle /*src*/, bool /*convert*/) {
    return false;
  }

  PYBIND11_TYPE_CASTER(T, _("strong_pointer"));
};

template <typename T>
struct strong_uint_type_caster {
  template <typename T_>
  static handle cast(
      T_&& src,
      return_value_policy /*policy*/,
      handle /*parent*/) {
    return handle(THPUtils_packUInt64(src.value_of()));
  }

  bool load(handle /*src*/, bool /*convert*/) {
    return false;
  }

  PYBIND11_TYPE_CASTER(T, _("strong_uint"));
};
} // namespace detail
} // namespace pybind11