project_6/cccl_upstream/libcudacxx/include/cuda/pipeline

//===----------------------------------------------------------------------===//
//
// Part of libcu++, the C++ Standard Library for your entire system,
// under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//

#ifndef _CUDA_PIPELINE
#define _CUDA_PIPELINE

#include <cuda/std/detail/__config>

#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
#  pragma GCC system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
#  pragma clang system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
#  pragma system_header
#endif // no system header

#include <cuda/__memcpy_async/check_preconditions.h>
#include <cuda/__memcpy_async/completion_mechanism.h>
#include <cuda/__memcpy_async/memcpy_async_barrier.h>
#include <cuda/__memory/aligned_size.h>
#include <cuda/__ptx/instructions/get_sreg.h>
#include <cuda/atomic>
#include <cuda/barrier>
#include <cuda/std/__algorithm/max.h>
#include <cuda/std/__bit/popcount.h>
#include <cuda/std/__chrono/duration.h>
#include <cuda/std/__chrono/time_point.h>
#include <cuda/std/cstdint>

#include <cuda/std/__cccl/prologue.h>

_CCCL_BEGIN_NAMESPACE_CUDA

// Forward declaration in barrier of pipeline
enum class pipeline_role
{
  producer,
  consumer
};

template <thread_scope _Scope>
struct __pipeline_stage
{
  barrier<_Scope> __produced;
  barrier<_Scope> __consumed;
};

template <thread_scope _Scope, uint8_t _Stages_count>
class pipeline_shared_state
{
public:
  _CCCL_HIDE_FROM_ABI pipeline_shared_state()                    = default;
  pipeline_shared_state(const pipeline_shared_state&)            = delete;
  pipeline_shared_state(pipeline_shared_state&&)                 = delete;
  pipeline_shared_state& operator=(pipeline_shared_state&&)      = delete;
  pipeline_shared_state& operator=(const pipeline_shared_state&) = delete;

private:
  __pipeline_stage<_Scope> __stages[_Stages_count];
  atomic<uint32_t, _Scope> __refcount;

  template <thread_scope _Pipeline_scope>
  friend class pipeline;

  template <class _Group, thread_scope _Pipeline_scope, uint8_t _Pipeline_stages_count>
  _CCCL_HOST_DEVICE_API friend inline pipeline<_Pipeline_scope>
  make_pipeline(const _Group& __group, pipeline_shared_state<_Pipeline_scope, _Pipeline_stages_count>* __shared_state);

  template <class _Group, thread_scope _Pipeline_scope, uint8_t _Pipeline_stages_count>
  _CCCL_HOST_DEVICE_API friend inline pipeline<_Pipeline_scope>
  make_pipeline(const _Group& __group,
                pipeline_shared_state<_Pipeline_scope, _Pipeline_stages_count>* __shared_state,
                size_t __producer_count);

  template <class _Group, thread_scope _Pipeline_scope, uint8_t _Pipeline_stages_count>
  _CCCL_HOST_DEVICE_API friend inline pipeline<_Pipeline_scope>
  make_pipeline(const _Group& __group,
                pipeline_shared_state<_Pipeline_scope, _Pipeline_stages_count>* __shared_state,
                pipeline_role __role);
};

template <thread_scope _Scope>
class pipeline
{
public:
  _CCCL_HIDE_FROM_ABI pipeline(pipeline&&) = default;
  pipeline(const pipeline&)                = delete;
  pipeline& operator=(pipeline&&)          = delete;
  pipeline& operator=(const pipeline&)     = delete;

  _CCCL_HOST_DEVICE_API inline ~pipeline()
  {
    if (__active)
    {
      (void) quit();
    }
  }

  _CCCL_HOST_DEVICE_API inline bool quit()
  {
    bool __elected;
    uint32_t __sub_count;
    NV_IF_TARGET(
      NV_IS_DEVICE,
      const uint32_t __match_mask =
        ::__match_any_sync(::__activemask(), reinterpret_cast<uintptr_t>(__shared_state_get_refcount()));
      const uint32_t __elected_id = ::__ffs(__match_mask) - 1;
      __elected                   = (::cuda::ptx::get_sreg_laneid() == __elected_id);
      __sub_count                 = ::cuda::std::popcount(__match_mask);
      , __elected = true;
      __sub_count = 1;)
    bool __released = false;
    if (__elected)
    {
      const uint32_t __old = __shared_state_get_refcount()->fetch_sub(__sub_count);
      const bool __last    = (__old == __sub_count);
      if (__last)
      {
        for (uint8_t __stage = 0; __stage < __stages_count; ++__stage)
        {
          __shared_state_get_stage(__stage)->__produced.~barrier();
          __shared_state_get_stage(__stage)->__consumed.~barrier();
        }
        __released = true;
      }
    }
    __active = false;
    return __released;
  }

  _CCCL_HOST_DEVICE_API inline bool __is_active() const
  {
    return __active;
  }

  _CCCL_HOST_DEVICE_API inline void producer_acquire()
  {
    barrier<_Scope>& __stage_barrier = __shared_state_get_stage(__head)->__consumed;
    __stage_barrier.wait_parity(__consumed_phase_parity);
  }

  _CCCL_HOST_DEVICE_API inline void producer_commit()
  {
    barrier<_Scope>& __stage_barrier = __shared_state_get_stage(__head)->__produced;
    (void) __memcpy_completion_impl::__defer(
      __completion_mechanism::__async_group, __single_thread_group{}, 0, __stage_barrier);
    (void) __stage_barrier.arrive();
    if (++__head == __stages_count)
    {
      __head                  = 0;
      __consumed_phase_parity = !__consumed_phase_parity;
    }
  }

  _CCCL_HOST_DEVICE_API inline void consumer_wait()
  {
    barrier<_Scope>& __stage_barrier = __shared_state_get_stage(__tail)->__produced;
    __stage_barrier.wait_parity(__produced_phase_parity);
  }

  _CCCL_HOST_DEVICE_API inline void consumer_release()
  {
    (void) __shared_state_get_stage(__tail)->__consumed.arrive();
    if (++__tail == __stages_count)
    {
      __tail                  = 0;
      __produced_phase_parity = !__produced_phase_parity;
    }
  }

  template <class _Rep, class _Period>
  _CCCL_HOST_DEVICE_API inline bool consumer_wait_for(const ::cuda::std::chrono::duration<_Rep, _Period>& __duration)
  {
    barrier<_Scope>& __stage_barrier = __shared_state_get_stage(__tail)->__produced;
    return ::cuda::std::__cccl_thread_poll_with_backoff(
      ::cuda::std::__barrier_poll_tester_parity<barrier<_Scope>>(&__stage_barrier, __produced_phase_parity),
      ::cuda::std::chrono::duration_cast<::cuda::std::chrono::nanoseconds>(__duration));
  }

  template <class _Clock, class _Duration>
  _CCCL_HOST_DEVICE_API inline bool
  consumer_wait_until(const ::cuda::std::chrono::time_point<_Clock, _Duration>& __time_point)
  {
    return consumer_wait_for(__time_point - _Clock::now());
  }

private:
  uint8_t __head               : 8;
  uint8_t __tail               : 8;
  const uint8_t __stages_count : 8;
  bool __consumed_phase_parity : 1;
  bool __produced_phase_parity : 1;
  bool __active                : 1;
  // TODO: Remove partitioned on next ABI break
  const bool __partitioned : 1;
  char* const __shared_state;

  _CCCL_HOST_DEVICE_API inline pipeline(char* __shared_state, uint8_t __stages_count, bool __partitioned)
      : __head(0)
      , __tail(0)
      , __stages_count(__stages_count)
      , __consumed_phase_parity(true)
      , __produced_phase_parity(false)
      , __active(true)
      , __partitioned(__partitioned)
      , __shared_state(__shared_state)
  {}

  _CCCL_HOST_DEVICE_API inline __pipeline_stage<_Scope>* __shared_state_get_stage(uint8_t __stage)
  {
    ptrdiff_t __stage_offset = __stage * sizeof(__pipeline_stage<_Scope>);
    return reinterpret_cast<__pipeline_stage<_Scope>*>(__shared_state + __stage_offset);
  }

  _CCCL_HOST_DEVICE_API inline atomic<uint32_t, _Scope>* __shared_state_get_refcount()
  {
    ptrdiff_t __refcount_offset = __stages_count * sizeof(__pipeline_stage<_Scope>);
    return reinterpret_cast<atomic<uint32_t, _Scope>*>(__shared_state + __refcount_offset);
  }

  template <class _Group, thread_scope _Pipeline_scope, uint8_t _Pipeline_stages_count>
  _CCCL_HOST_DEVICE_API friend inline pipeline<_Pipeline_scope>
  make_pipeline(const _Group& __group, pipeline_shared_state<_Pipeline_scope, _Pipeline_stages_count>* __shared_state);

  template <class _Group, thread_scope _Pipeline_scope, uint8_t _Pipeline_stages_count>
  _CCCL_HOST_DEVICE_API friend inline pipeline<_Pipeline_scope>
  make_pipeline(const _Group& __group,
                pipeline_shared_state<_Pipeline_scope, _Pipeline_stages_count>* __shared_state,
                size_t __producer_count);

  template <class _Group, thread_scope _Pipeline_scope, uint8_t _Pipeline_stages_count>
  _CCCL_HOST_DEVICE_API friend inline pipeline<_Pipeline_scope>
  make_pipeline(const _Group& __group,
                pipeline_shared_state<_Pipeline_scope, _Pipeline_stages_count>* __shared_state,
                pipeline_role __role);
};

template <class _Group, thread_scope _Scope, uint8_t _Stages_count>
_CCCL_HOST_DEVICE_API inline pipeline<_Scope>
make_pipeline(const _Group& __group, pipeline_shared_state<_Scope, _Stages_count>* __shared_state)
{
  const uint32_t __group_size  = static_cast<uint32_t>(__group.size());
  const uint32_t __thread_rank = static_cast<uint32_t>(__group.thread_rank());

  if (__thread_rank == 0)
  {
    for (uint8_t __stage = 0; __stage < _Stages_count; ++__stage)
    {
      init(&__shared_state->__stages[__stage].__consumed, __group_size);
      init(&__shared_state->__stages[__stage].__produced, __group_size);
    }
    __shared_state->__refcount.store(__group_size, std::memory_order_relaxed);
  }
  __group.sync();

  return pipeline<_Scope>(reinterpret_cast<char*>(__shared_state->__stages), _Stages_count, false);
}

template <class _Group, thread_scope _Scope, uint8_t _Stages_count>
_CCCL_HOST_DEVICE_API inline pipeline<_Scope> make_pipeline(
  const _Group& __group, pipeline_shared_state<_Scope, _Stages_count>* __shared_state, size_t __producer_count)
{
  const uint32_t __group_size  = static_cast<uint32_t>(__group.size());
  const uint32_t __thread_rank = static_cast<uint32_t>(__group.thread_rank());

  if (__thread_rank == 0)
  {
    const size_t __consumer_count = __group_size - __producer_count;
    for (uint8_t __stage = 0; __stage < _Stages_count; ++__stage)
    {
      init(&__shared_state->__stages[__stage].__consumed, __consumer_count);
      init(&__shared_state->__stages[__stage].__produced, __producer_count);
    }
    __shared_state->__refcount.store(__group_size, std::memory_order_relaxed);
  }
  __group.sync();

  return pipeline<_Scope>(reinterpret_cast<char*>(__shared_state->__stages), _Stages_count, true);
}

template <class _Group, thread_scope _Scope, uint8_t _Stages_count>
_CCCL_HOST_DEVICE_API inline pipeline<_Scope>
make_pipeline(const _Group& __group, pipeline_shared_state<_Scope, _Stages_count>* __shared_state, pipeline_role __role)
{
  const uint32_t __group_size  = static_cast<uint32_t>(__group.size());
  const uint32_t __thread_rank = static_cast<uint32_t>(__group.thread_rank());

  if (__thread_rank == 0)
  {
    __shared_state->__refcount.store(0, std::memory_order_relaxed);
  }
  __group.sync();

  if (__role == pipeline_role::producer)
  {
    bool __elected;
    uint32_t __add_count;
    NV_IF_TARGET(
      NV_IS_DEVICE,
      const uint32_t __match_mask =
        ::__match_any_sync(::__activemask(), reinterpret_cast<uintptr_t>(&__shared_state->__refcount));
      const uint32_t __elected_id = ::__ffs(__match_mask) - 1;
      __elected                   = (::cuda::ptx::get_sreg_laneid() == __elected_id);
      __add_count                 = ::cuda::std::popcount(__match_mask);
      , __elected = true;
      __add_count = 1;)
    if (__elected)
    {
      (void) __shared_state->__refcount.fetch_add(__add_count, std::memory_order_relaxed);
    }
  }
  __group.sync();

  if (__thread_rank == 0)
  {
    const uint32_t __producer_count = __shared_state->__refcount.load(std::memory_order_relaxed);
    const uint32_t __consumer_count = __group_size - __producer_count;
    for (uint8_t __stage = 0; __stage < _Stages_count; ++__stage)
    {
      init(&__shared_state->__stages[__stage].__consumed, __consumer_count);
      init(&__shared_state->__stages[__stage].__produced, __producer_count);
    }
    __shared_state->__refcount.store(__group_size, std::memory_order_relaxed);
  }
  __group.sync();

  return pipeline<_Scope>(reinterpret_cast<char*>(__shared_state->__stages), _Stages_count, true);
}

_CCCL_END_NAMESPACE_CUDA

_CCCL_BEGIN_NAMESPACE_CUDA_DEVICE

template <uint8_t _Prior>
_CCCL_DEVICE_API void __pipeline_consumer_wait(pipeline<thread_scope_thread>& __pipeline);

_CCCL_DEVICE_API inline void __pipeline_consumer_wait(pipeline<thread_scope_thread>& __pipeline, uint8_t __prior);

_CCCL_END_NAMESPACE_CUDA_DEVICE

_CCCL_BEGIN_NAMESPACE_CUDA

template <>
class pipeline<thread_scope_thread>
{
public:
  _CCCL_HIDE_FROM_ABI pipeline(pipeline&&) = default;
  pipeline(const pipeline&)                = delete;
  pipeline& operator=(pipeline&&)          = delete;
  pipeline& operator=(const pipeline&)     = delete;

  _CCCL_HOST_DEVICE_API inline ~pipeline() {}

  _CCCL_HOST_DEVICE_API inline bool quit()
  {
    return true;
  }

  _CCCL_HOST_DEVICE_API inline void producer_acquire() {}

  _CCCL_HOST_DEVICE_API inline void producer_commit()
  {
    NV_IF_TARGET(NV_PROVIDES_SM_80, asm volatile("cp.async.commit_group;"); ++__head;)
  }

  _CCCL_HOST_DEVICE_API inline void consumer_wait()
  {
    NV_IF_TARGET(
      NV_PROVIDES_SM_80,
      if (__head == __tail) { return; }

      const uint8_t __prior = __head - __tail - 1;
      ::cuda::device::__pipeline_consumer_wait(*this, __prior);
      ++__tail;)
  }

  _CCCL_HOST_DEVICE_API inline void consumer_release() {}

  template <class _Rep, class _Period>
  _CCCL_HOST_DEVICE_API inline bool
  consumer_wait_for([[maybe_unused]] const ::cuda::std::chrono::duration<_Rep, _Period>& __duration)
  {
    consumer_wait();
    return true;
  }

  template <class _Clock, class _Duration>
  _CCCL_HOST_DEVICE_API inline bool
  consumer_wait_until([[maybe_unused]] const ::cuda::std::chrono::time_point<_Clock, _Duration>& __time_point)
  {
    consumer_wait();
    return true;
  }

private:
  uint8_t __head;
  uint8_t __tail;

  _CCCL_HOST_DEVICE_API inline pipeline()
      : __head(0)
      , __tail(0)
  {}

  _CCCL_HOST_DEVICE_API friend inline pipeline<thread_scope_thread> make_pipeline();

  template <uint8_t _Prior>
  _CCCL_HOST_DEVICE_API friend inline void pipeline_consumer_wait_prior(pipeline<thread_scope_thread>& __pipeline);

  template <class _Group, thread_scope _Pipeline_scope, uint8_t _Pipeline_stages_count>
  _CCCL_HOST_DEVICE_API friend inline pipeline<_Pipeline_scope> __make_pipeline(
    const _Group& __group, pipeline_shared_state<_Pipeline_scope, _Pipeline_stages_count>* __shared_state);
};

_CCCL_END_NAMESPACE_CUDA

_CCCL_BEGIN_NAMESPACE_CUDA_DEVICE

template <uint8_t _Prior>
_CCCL_DEVICE_API void __pipeline_consumer_wait([[maybe_unused]] pipeline<thread_scope_thread>& __pipeline)
{
  NV_IF_TARGET(NV_PROVIDES_SM_80, constexpr uint8_t __max_prior = 8;

               asm volatile("cp.async.wait_group %0;" : : "n"(_Prior < __max_prior ? _Prior : __max_prior));)
}

_CCCL_DEVICE_API inline void __pipeline_consumer_wait(pipeline<thread_scope_thread>& __pipeline, uint8_t __prior)
{
  switch (__prior)
  {
    case 0:
      ::cuda::device::__pipeline_consumer_wait<0>(__pipeline);
      break;
    case 1:
      ::cuda::device::__pipeline_consumer_wait<1>(__pipeline);
      break;
    case 2:
      ::cuda::device::__pipeline_consumer_wait<2>(__pipeline);
      break;
    case 3:
      ::cuda::device::__pipeline_consumer_wait<3>(__pipeline);
      break;
    case 4:
      ::cuda::device::__pipeline_consumer_wait<4>(__pipeline);
      break;
    case 5:
      ::cuda::device::__pipeline_consumer_wait<5>(__pipeline);
      break;
    case 6:
      ::cuda::device::__pipeline_consumer_wait<6>(__pipeline);
      break;
    case 7:
      ::cuda::device::__pipeline_consumer_wait<7>(__pipeline);
      break;
    default:
      ::cuda::device::__pipeline_consumer_wait<8>(__pipeline);
      break;
  }
}

_CCCL_END_NAMESPACE_CUDA_DEVICE

_CCCL_BEGIN_NAMESPACE_CUDA

_CCCL_HOST_DEVICE_API inline pipeline<thread_scope_thread> make_pipeline()
{
  return pipeline<thread_scope_thread>();
}

template <uint8_t _Prior>
_CCCL_HOST_DEVICE_API inline void
pipeline_consumer_wait_prior([[maybe_unused]] pipeline<thread_scope_thread>& __pipeline)
{
  NV_IF_TARGET(NV_PROVIDES_SM_80, ::cuda::device::__pipeline_consumer_wait<_Prior>(__pipeline);
               __pipeline.__tail = __pipeline.__head - _Prior;)
}

template <thread_scope _Scope>
_CCCL_HOST_DEVICE_API inline void pipeline_producer_commit(
  [[maybe_unused]] pipeline<thread_scope_thread>& __pipeline, [[maybe_unused]] barrier<_Scope>& __barrier)
{
  NV_IF_TARGET(NV_PROVIDES_SM_80,
               ((void) __memcpy_completion_impl::__defer(
                  __completion_mechanism::__async_group, __single_thread_group{}, 0, __barrier);));
}

template <typename _Group, class _Tp, typename _Size, thread_scope _Scope>
_CCCL_HOST_DEVICE_API inline async_contract_fulfillment __memcpy_async_pipeline(
  _Group const& __group, _Tp* __destination, _Tp const* __source, _Size __size, pipeline<_Scope>& __pipeline)
{
  if constexpr (_Scope != thread_scope_thread)
  {
    _CCCL_ASSERT(__pipeline.__is_active(), "The pipeline used for memcpy_async must be active (not quitted)");
  }

  // 1. Set the completion mechanisms that can be used.
  //
  //    Do not (yet) allow async_bulk_group completion. Do not allow
  //    mbarrier_complete_tx completion, even though it may be possible if
  //    the pipeline has stage barriers in shared memory.
  ::cuda::std::uint32_t __allowed_completions = ::cuda::std::uint32_t(__completion_mechanism::__async_group);

  // Alignment: Use the maximum of the alignment of _Tp and that of a possible cuda::aligned_size_t.
  constexpr auto __align = ::cuda::std::max(alignof(_Tp), __get_size_align_v<_Size>);
  // Cast to char pointers. We don't need the type for alignment anymore and
  // erasing the types reduces the number of instantiations of down-stream
  // functions.
  char* __dest_char      = reinterpret_cast<char*>(__destination);
  char const* __src_char = reinterpret_cast<char const*>(__source);

  // 2. Issue actual copy instructions.
  auto __cm = ::cuda::__dispatch_memcpy_async<__align>(__group, __dest_char, __src_char, __size, __allowed_completions);

  // 3. No need to synchronize with copy instructions.
  return __memcpy_completion_impl::__defer(__cm, __group, __size, __pipeline);
}

template <typename _Group, class _Type, thread_scope _Scope>
_CCCL_HOST_DEVICE_API inline async_contract_fulfillment memcpy_async(
  _Group const& __group, _Type* __destination, _Type const* __source, std::size_t __size, pipeline<_Scope>& __pipeline)
{
  _CCCL_ASSERT(::cuda::__memcpy_async_check_pre(__destination, __source, __size), "memcpy_async preconditions unmet");
  return ::cuda::__memcpy_async_pipeline(__group, __destination, __source, __size, __pipeline);
}

template <typename _Group, class _Type, std::size_t _Alignment, thread_scope _Scope>
_CCCL_HOST_DEVICE_API inline async_contract_fulfillment memcpy_async(
  _Group const& __group,
  _Type* __destination,
  _Type const* __source,
  aligned_size_t<_Alignment> __size,
  pipeline<_Scope>& __pipeline)
{
  static_assert(_Alignment >= alignof(_Type), "alignment must be at least the alignof(T)");
  _CCCL_ASSERT(::cuda::__memcpy_async_check_pre(__destination, __source, __size), "memcpy_async preconditions unmet");
  return ::cuda::__memcpy_async_pipeline(__group, __destination, __source, __size, __pipeline);
}

template <class _Type, typename _Size, thread_scope _Scope>
_CCCL_HOST_DEVICE_API inline async_contract_fulfillment
memcpy_async(_Type* __destination, _Type const* __source, _Size __size, pipeline<_Scope>& __pipeline)
{
  _CCCL_ASSERT(::cuda::__memcpy_async_check_pre(__destination, __source, __size), "memcpy_async preconditions unmet");
  return ::cuda::__memcpy_async_pipeline(__single_thread_group{}, __destination, __source, __size, __pipeline);
}

template <typename _Group, thread_scope _Scope>
_CCCL_HOST_DEVICE_API inline async_contract_fulfillment memcpy_async(
  _Group const& __group, void* __destination, void const* __source, std::size_t __size, pipeline<_Scope>& __pipeline)
{
  _CCCL_ASSERT(::cuda::__memcpy_async_check_pre(__destination, __source, __size), "memcpy_async preconditions unmet");
  return ::cuda::__memcpy_async_pipeline(
    __group, reinterpret_cast<char*>(__destination), reinterpret_cast<char const*>(__source), __size, __pipeline);
}

template <typename _Group, std::size_t _Alignment, thread_scope _Scope>
_CCCL_HOST_DEVICE_API inline async_contract_fulfillment memcpy_async(
  _Group const& __group,
  void* __destination,
  void const* __source,
  aligned_size_t<_Alignment> __size,
  pipeline<_Scope>& __pipeline)
{
  _CCCL_ASSERT(::cuda::__memcpy_async_check_pre(__destination, __source, __size), "memcpy_async preconditions unmet");
  return ::cuda::__memcpy_async_pipeline(
    __group, reinterpret_cast<char*>(__destination), reinterpret_cast<char const*>(__source), __size, __pipeline);
}

template <typename _Size, thread_scope _Scope>
_CCCL_HOST_DEVICE_API inline async_contract_fulfillment
memcpy_async(void* __destination, void const* __source, _Size __size, pipeline<_Scope>& __pipeline)
{
  _CCCL_ASSERT(::cuda::__memcpy_async_check_pre(__destination, __source, __size), "memcpy_async preconditions unmet");
  return ::cuda::__memcpy_async_pipeline(
    __single_thread_group{},
    reinterpret_cast<char*>(__destination),
    reinterpret_cast<char const*>(__source),
    __size,
    __pipeline);
}

_CCCL_END_NAMESPACE_CUDA

#include <cuda/std/__cccl/epilogue.h>

#endif //_CUDA_PIPELINE