project_6/cccl_upstream/cub/cub/util_device.cuh

// SPDX-FileCopyrightText: Copyright (c) 2011, Duane Merrill. All rights reserved.
// SPDX-FileCopyrightText: Copyright (c) 2011-2020, NVIDIA CORPORATION. All rights reserved.
// SPDX-License-Identifier: BSD-3

//! \file
//! Properties of a given CUDA device and the corresponding PTX bundle.

#pragma once

#include <cub/config.cuh>

#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 <cub/util_arch.cuh>
#include <cub/util_debug.cuh>
#include <cub/util_policy_wrapper_t.cuh>
#include <cub/util_type.cuh>
// for backward compatibility
#include <cub/util_temporary_storage.cuh>

#include <cuda/__device/compute_capability.h>
#include <cuda/__memory/is_valid_alignment.h>
#include <cuda/std/__concepts/regular.h>
#include <cuda/std/__concepts/same_as.h>
#include <cuda/std/__cstddef/types.h>
#include <cuda/std/__type_traits/conditional.h>
#include <cuda/std/__utility/forward.h>
#include <cuda/std/array>
#include <cuda/std/cassert>

#if _CCCL_HOSTED()
#  include <atomic> // saves 146ms compile-time over <cuda/std/atomic> (CCCL 3.1)
#endif // _CCCL_HOSTED()

#include <nv/target>

CUB_NAMESPACE_BEGIN

#ifndef _CCCL_DOXYGEN_INVOKED // Do not document

namespace detail
{
/**
 * \brief Empty kernel for querying PTX manifest metadata (e.g., version) for the current device
 */
template <typename T>
_CCCL_KERNEL_ATTRIBUTES void EmptyKernel()
{}
} // namespace detail

#endif // _CCCL_DOXYGEN_INVOKED

#if !_CCCL_COMPILER(NVRTC)
/**
 * \brief Returns the current device or -1 if an error occurred.
 */
CUB_RUNTIME_FUNCTION inline int CurrentDevice()
{
  int device = -1;
  if (CubDebug(cudaGetDevice(&device)))
  {
    return -1;
  }
  return device;
}

#  ifndef _CCCL_DOXYGEN_INVOKED // Do not document

//! @brief RAII helper which saves the current device and switches to the specified device on construction and switches
//! to the saved device on destruction.
class [[maybe_unused]] SwitchDevice
{
  int target_device_;
  int original_device_;

public:
  //! @brief Queries the current device and if that is different than @p target_device sets the current device to
  //! @p target_device
  SwitchDevice(const int target_device)
      : target_device_(target_device)
  {
    CubDebug(cudaGetDevice(&original_device_));
    if (original_device_ != target_device_)
    {
      CubDebug(cudaSetDevice(target_device_));
    }
  }

  //! @brief If the @p original_device was not equal to @p target_device sets the current device back to
  //! @p original_device
  ~SwitchDevice()
  {
    if (original_device_ != target_device_)
    {
      CubDebug(cudaSetDevice(original_device_));
    }
  }
};

#  endif // _CCCL_DOXYGEN_INVOKED

namespace detail
{
// TODO(bgruber): remove in CCCL 4.0
CUB_RUNTIME_FUNCTION inline int device_count_uncached()
{
  int count = -1;
  if (CubDebug(cudaGetDeviceCount(&count)))
  {
    // CUDA makes no guarantees about the state of the output parameter if
    // `cudaGetDeviceCount` fails; in practice, they don't, but out of
    // paranoia we'll reset `count` to `-1`.
    count = -1;
  }
  return count;
}

// TODO(bgruber): remove in CCCL 4.0
_CCCL_HOST inline int device_count_cached_value()
{
  static int count = device_count_uncached();
  return count;
}

// TODO(bgruber): remove in CCCL 4.0
CUB_RUNTIME_FUNCTION inline int device_count()
{
  int result = -1;

  NV_IF_ELSE_TARGET(
    NV_IS_HOST, ({ result = detail::device_count_cached_value(); }), ({ result = detail::device_count_uncached(); }));

  return result;
}
} // namespace detail

// TODO(bgruber): remove in CCCL 4.0
/**
 * \brief Returns the number of CUDA devices available or -1 if an error
 *        occurred.
 * Deprecated [Since 3.5]
 */
CCCL_DEPRECATED_BECAUSE("Use cuda::devices.size() instead") CUB_RUNTIME_FUNCTION inline int DeviceCountUncached()
{
  return detail::device_count_uncached();
}

// TODO(bgruber): remove in CCCL 4.0
// Host code. This is a separate function to avoid defining a local static in a host/device function.
CCCL_DEPRECATED_BECAUSE("Use cuda::devices.size() instead") _CCCL_HOST inline int DeviceCountCachedValue()
{
  return detail::device_count_cached_value();
}

// TODO(bgruber): remove in CCCL 4.0
/**
 * \brief Returns the number of CUDA devices available.
 *
 * \note This function may cache the result internally.
 *
 * \note This function is thread safe.
 *
 * Deprecated [Since 3.5]
 */
CCCL_DEPRECATED_BECAUSE("Use cuda::devices.size() instead") CUB_RUNTIME_FUNCTION inline int DeviceCount()
{
  return detail::device_count();
}

#  if _CCCL_HOSTED()
#    ifndef _CCCL_DOXYGEN_INVOKED // Do not document
/**
 * \brief Per-device cache for a CUDA attribute value; the attribute is queried
 *        and stored for each device upon construction.
 */
struct PerDeviceAttributeCache
{
  struct DevicePayload
  {
    int attribute;
    cudaError_t error;
  };

  // Each entry starts in the `DeviceEntryEmpty` state, then proceeds to the
  // `DeviceEntryInitializing` state, and then proceeds to the
  // `DeviceEntryReady` state. These are the only state transitions allowed;
  // i.e. a linear sequence of transitions.
  enum DeviceEntryStatus
  {
    DeviceEntryEmpty = 0,
    DeviceEntryInitializing,
    DeviceEntryReady
  };

  struct DeviceEntry
  {
    ::std::atomic<DeviceEntryStatus> flag;
    DevicePayload payload;
  };

private:
  ::cuda::std::array<DeviceEntry, detail::max_devices> entries_;

public:
  /**
   * \brief Construct the cache.
   */
  _CCCL_HOST inline PerDeviceAttributeCache()
      : entries_()
  {
    _CCCL_ASSERT(detail::device_count() <= detail::max_devices, "");
  }

  /**
   * \brief Retrieves the payload of the cached function \p f for \p device.
   *
   * \note You must pass a morally equivalent function in to every call or
   *       this function has undefined behavior.
   */
  template <typename Invocable>
  _CCCL_HOST DevicePayload operator()(Invocable&& f, int device)
  {
    if (device >= detail::device_count() || device < 0)
    {
      return DevicePayload{0, cudaErrorInvalidDevice};
    }

    auto& entry   = entries_[device];
    auto& flag    = entry.flag;
    auto& payload = entry.payload;

    DeviceEntryStatus old_status = DeviceEntryEmpty;

    // First, check for the common case of the entry being ready.
    if (flag.load(::std::memory_order_acquire) != DeviceEntryReady)
    {
      // Assume the entry is empty and attempt to lock it so we can fill
      // it by trying to set the state from `DeviceEntryReady` to
      // `DeviceEntryInitializing`.
      if (flag.compare_exchange_strong(
            old_status, DeviceEntryInitializing, ::std::memory_order_acq_rel, ::std::memory_order_acquire))
      {
        // We successfully set the state to `DeviceEntryInitializing`;
        // we have the lock and it's our job to initialize this entry
        // and then release it.

        // We don't use `CubDebug` here because we let the user code
        // decide whether or not errors are hard errors.
        payload.error = ::cuda::std::forward<Invocable>(f)(payload.attribute);
        if (payload.error)
        {
          // Clear the global CUDA error state which may have been
          // set by the last call. Otherwise, errors may "leak" to
          // unrelated kernel launches.
          cudaGetLastError();
        }

        // Release the lock by setting the state to `DeviceEntryReady`.
        flag.store(DeviceEntryReady, ::std::memory_order_release);
      }

      // If the `compare_exchange_weak` failed, then `old_status` has
      // been updated with the value of `flag` that it observed.

      else if (old_status == DeviceEntryInitializing)
      {
        // Another execution agent is initializing this entry; we need
        // to wait for them to finish; we'll know they're done when we
        // observe the entry status as `DeviceEntryReady`.
        do
        {
          old_status = flag.load(::std::memory_order_acquire);
        } while (old_status != DeviceEntryReady);
        // FIXME: Use `atomic::wait` instead when we have access to
        // host-side C++20 atomics. We could use libcu++, but it only
        // supports atomics for SM60 and up, even if you're only using
        // them in host code.
      }
    }

    // We now know that the state of our entry is `DeviceEntryReady`, so
    // just return the entry's payload.
    return entry.payload;
  }
};
#    endif // _CCCL_DOXYGEN_INVOKED
#  endif // _CCCL_HOSTED()

/**
 * \brief Retrieves the PTX version that will be used on the current device (major * 100 + minor * 10).
 */
template <class T = void>
CUB_RUNTIME_FUNCTION cudaError_t PtxVersionUncached(int& ptx_version)
{
  // Instantiate `EmptyKernel<void>` in both host and device code to ensure
  // it can be called.
  [[maybe_unused]] const auto empty_kernel = detail::EmptyKernel<T>;

  cudaError_t result = cudaSuccess;
  NV_IF_ELSE_TARGET(NV_IS_HOST,
                    ({
                      cudaFuncAttributes empty_kernel_attrs;
                      result      = CubDebug(cudaFuncGetAttributes(&empty_kernel_attrs, (const void*) empty_kernel));
                      ptx_version = empty_kernel_attrs.ptxVersion * 10;
                    }),
                    ({ ptx_version = ::cuda::device::current_compute_capability().get() * 10; }));
  return result;
}

/**
 * \brief Retrieves the PTX version that will be used on \p device (major * 100 + minor * 10).
 */
template <class T = void>
_CCCL_HOST cudaError_t PtxVersionUncached(int& ptx_version, int device)
{
  SwitchDevice sd(device);
  return PtxVersionUncached<T>(ptx_version);
}

#  if _CCCL_HOSTED()
template <typename Tag>
_CCCL_HOST inline PerDeviceAttributeCache& GetPerDeviceAttributeCache()
{
  static PerDeviceAttributeCache cache;
  return cache;
}
#  endif // _CCCL_HOSTED()

struct PtxVersionCacheTag
{};
struct SmVersionCacheTag
{};

#  if _CCCL_HOSTED()
/**
 * \brief Retrieves the PTX virtual architecture that will be used on \p device (major * 100 + minor * 10). If
 * __CUDA_ARCH_LIST__ is defined, this value is one of __CUDA_ARCH_LIST__.
 *
 * \note This function may cache the result internally.
 * \note This function is thread safe.
 */
template <class T = void>
_CCCL_HOST cudaError_t PtxVersion(int& ptx_version, int device)
{
  // Note: the ChainedPolicy pruning (i.e., invoke_static) requites that there's an exact match between one of the
  // architectures in __CUDA_ARCH__ and the runtime queried ptx version.
  auto const payload = GetPerDeviceAttributeCache<PtxVersionCacheTag>()(
    // If this call fails, then we get the error code back in the payload, which we check with `CubDebug` below.
    [=](int& pv) {
      return PtxVersionUncached<T>(pv, device);
    },
    device);

  if (!CubDebug(payload.error))
  {
    ptx_version = payload.attribute;
  }

  return payload.error;
}
#  endif // _CCCL_HOSTED()

/**
 * \brief Retrieves the PTX virtual architecture that will be used on the current device (major * 100 + minor * 10).
 *
 * \note This function may cache the result internally.
 * \note This function is thread safe.
 */
template <class T = void>
CUB_RUNTIME_FUNCTION cudaError_t PtxVersion(int& ptx_version)
{
  // Note: the ChainedPolicy pruning (i.e., invoke_static) requites that there's an exact match between one of the
  // architectures in __CUDA_ARCH__ and the runtime queried ptx version.
  cudaError_t result = cudaErrorUnknown;
#  if _CCCL_HOSTED()
  NV_IF_ELSE_TARGET(NV_IS_HOST,
                    (result = PtxVersion<T>(ptx_version, CurrentDevice());),
                    (result = PtxVersionUncached<T>(ptx_version);));
#  else // ^^^ _CCCL_HOSTED() ^^^ / vvv !_CCCL_HOSTED() vvv
  result = PtxVersionUncached<T>(ptx_version);
#  endif // !_CCCL_HOSTED()
  return result;
}

namespace detail
{
//! @brief Retrieves the GPU architecture of the PTX or SASS that will be used on the current device.
template <class T = void>
CUB_RUNTIME_FUNCTION cudaError_t ptx_compute_cap(::cuda::compute_capability& cc)
{
  int ptx_version = 0;
  if (const auto error = PtxVersion<T>(ptx_version))
  {
    return error;
  }
  cc = ::cuda::compute_capability{ptx_version / 10};
  return cudaSuccess;
}

//! @brief Retrieves the GPU architecture of the PTX or SASS that will be used on the given device.
template <class T = void>
_CCCL_HOST_API cudaError_t ptx_compute_cap(::cuda::compute_capability& cc, int device)
{
  int ptx_version = 0;
  if (const auto error = PtxVersion<T>(ptx_version, device))
  {
    return error;
  }
  cc = ::cuda::compute_capability{ptx_version / 10};
  return cudaSuccess;
}
} // namespace detail

/**
 * \brief Retrieves the SM version (i.e. compute capability) of \p device (major * 100 + minor * 10)
 */
CUB_RUNTIME_FUNCTION inline cudaError_t SmVersionUncached(int& sm_version, int device = CurrentDevice())
{
  cudaError_t error = cudaSuccess;
  do
  {
    int major = 0, minor = 0;
    error = CubDebug(cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, device));
    if (cudaSuccess != error)
    {
      break;
    }

    error = CubDebug(cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, device));
    if (cudaSuccess != error)
    {
      break;
    }
    sm_version = major * 100 + minor * 10;
  } while (false);

  return error;
}

/**
 * \brief Retrieves the SM version (i.e. compute capability) of \p device (major * 100 + minor * 10).
 *
 * \note This function may cache the result internally.
 * \note This function is thread safe.
 */
CUB_RUNTIME_FUNCTION inline cudaError_t SmVersion(int& sm_version, int device = CurrentDevice())
{
  cudaError_t result = cudaErrorUnknown;
#  if _CCCL_HOSTED()
  NV_IF_ELSE_TARGET(NV_IS_HOST,
                    ({
                      auto const payload = GetPerDeviceAttributeCache<SmVersionCacheTag>()(
                        // If this call fails, then we get the error code back in the payload, which we check with
                        // `CubDebug` below.
                        [=](int& pv) {
                          return SmVersionUncached(pv, device);
                        },
                        device);

                      if (!CubDebug(payload.error))
                      {
                        sm_version = payload.attribute;
                      };

                      result = payload.error;
                    }),
                    (result = SmVersionUncached(sm_version, device);));
#  else // ^^^ _CCCL_HOSTED() ^^^ / vvv !_CCCL_HOSTED() vvv
  result = SmVersionUncached(sm_version, device);
#  endif // !_CCCL_HOSTED()

  return result;
}

//! Synchronize the specified \p stream when called in host code. Otherwise, does nothing.
CUB_RUNTIME_FUNCTION inline cudaError_t SyncStream([[maybe_unused]] cudaStream_t stream)
{
  NV_IF_ELSE_TARGET(NV_IS_HOST, (return CubDebug(cudaStreamSynchronize(stream));), (return cudaErrorNotSupported;))
}

//! @brief Computes the maximum potential dynamic shared memory size per block for kernel @p kernel_ptr taking into
//!        account the amount of kernel's static and CUDA Driver's reserved shared memory.
//!
//! @param[out] max_dyn_smem_bytes
//!   Maximum dynamic shared memory that can be allocated. Set to -1 in case of error.
//!
//! @param[in] kernel_ptr
//!   Kernel pointer for which to compute the maximum potential dynamic shared memory.
template <class KernelPtr>
CUB_RUNTIME_FUNCTION inline cudaError_t
MaxPotentialDynamicSmemBytes(int& max_dyn_smem_bytes, KernelPtr kernel_ptr) noexcept
{
  max_dyn_smem_bytes = -1;

  cudaFuncAttributes kernel_attrs{};
  if (const auto error = CubDebug(cudaFuncGetAttributes(&kernel_attrs, kernel_ptr)))
  {
    return error;
  }

  int curr_device{};
  if (const auto error = CubDebug(cudaGetDevice(&curr_device)))
  {
    return error;
  }

  int reserved_smem_size{};
  if (const auto error =
        CubDebug(cudaDeviceGetAttribute(&reserved_smem_size, cudaDevAttrReservedSharedMemoryPerBlock, curr_device)))
  {
    return error;
  }

  int max_smem_size_optin{};
  if (const auto error =
        CubDebug(cudaDeviceGetAttribute(&max_smem_size_optin, cudaDevAttrMaxSharedMemoryPerBlockOptin, curr_device)))
  {
    return error;
  }

  max_dyn_smem_bytes = max_smem_size_optin - reserved_smem_size - static_cast<int>(kernel_attrs.sharedSizeBytes);
  return cudaSuccess;
}

namespace detail
{
//! If CUB_DEBUG_SYNC is defined and this function is called from host code, a sync is performed and the
//! sync result is returned. Otherwise, does nothing.
CUB_RUNTIME_FUNCTION inline cudaError_t DebugSyncStream([[maybe_unused]] cudaStream_t stream)
{
#  ifdef CUB_DEBUG_SYNC
  NV_IF_ELSE_TARGET(NV_IS_HOST,
                    (_CubLog("%s", "Synchronizing...\n"); return SyncStream(stream);),
                    (_CubLog("%s", "WARNING: Skipping CUB debug synchronization in device code"); return cudaSuccess;));
#  else // ^^^ CUB_DEBUG_SYNC / !CUB_DEBUG_SYNC vvv
  return cudaSuccess;
#  endif // ^^^ !CUB_DEBUG_SYNC ^^^
}

/** \brief Gets whether the current device supports unified addressing */
CUB_RUNTIME_FUNCTION inline cudaError_t HasUVA(bool& has_uva)
{
  has_uva           = false;
  int device        = -1;
  cudaError_t error = CubDebug(cudaGetDevice(&device));
  if (cudaSuccess != error)
  {
    return error;
  }

  int uva = 0;
  error   = CubDebug(cudaDeviceGetAttribute(&uva, cudaDevAttrUnifiedAddressing, device));
  if (cudaSuccess != error)
  {
    return error;
  }
  has_uva = uva == 1;
  return error;
}
} // namespace detail

/**
 * @brief Computes maximum SM occupancy in thread blocks for executing the given kernel function
 *        pointer @p kernel_ptr on the current device with @p threads_per_block per thread block.
 *
 * @par Snippet
 * The code snippet below illustrates the use of the MaxSmOccupancy function.
 * @par
 * @code
 * #include <cub/cub.cuh>   // or equivalently <cub/util_device.cuh>
 *
 * template <typename T>
 * __global__ void ExampleKernel()
 * {
 *     // Allocate shared memory for BlockScan
 *     __shared__ volatile T buffer[4096];
 *
 *        ...
 * }
 *
 *     ...
 *
 * // Determine SM occupancy for ExampleKernel specialized for unsigned char
 * int max_sm_occupancy;
 * MaxSmOccupancy(max_sm_occupancy, ExampleKernel<unsigned char>, 64);
 *
 * // max_sm_occupancy  <-- 4 on SM10
 * // max_sm_occupancy  <-- 8 on SM20
 * // max_sm_occupancy  <-- 12 on SM35
 *
 * @endcode
 *
 * @param[out] max_sm_occupancy
 *   maximum number of thread blocks that can reside on a single SM
 *
 * @param[in] kernel_ptr
 *   Kernel pointer for which to compute SM occupancy
 *
 * @param[in] threads_per_block
 *   Number of threads per thread block
 *
 * @param[in] dynamic_smem_bytes
 *   Dynamically allocated shared memory in bytes. Default is 0.
 */
template <typename KernelPtr>
_CCCL_VISIBILITY_HIDDEN CUB_RUNTIME_FUNCTION inline cudaError_t
MaxSmOccupancy(int& max_sm_occupancy, KernelPtr kernel_ptr, int threads_per_block, int dynamic_smem_bytes = 0)
{
  return CubDebug(cudaOccupancyMaxActiveBlocksPerMultiprocessor(
    &max_sm_occupancy, kernel_ptr, threads_per_block, dynamic_smem_bytes));
}

#endif // !_CCCL_COMPILER(NVRTC)

/******************************************************************************
 * Bulk copy helpers
 ******************************************************************************/
namespace detail
{
// This should stay an implementation detail even when below functions become public.
inline constexpr int bulk_copy_min_align = 16;

//! @brief Returns the alignment needed for the shared memory destination buffer of BlockLoadToShared.
//! @tparam T
//!   Value type to be loaded.
template <typename T>
_CCCL_HOST_DEVICE constexpr int LoadToSharedBufferAlignBytes()
{
  return (::cuda::std::max) (int{alignof(T)}, detail::bulk_copy_min_align);
}

//! @brief Returns the size needed for the shared memory destination buffer of BlockLoadToShared.
//! @tparam T
//!   Value type to be loaded.
//! @tparam GmemAlign
//!   Guaranteed alignment in bytes of the source range (both begin and end) in global memory
//! @param[in] num_items
//!   Size of the source range in global memory
template <typename T, ::cuda::std::size_t GmemAlign = alignof(T)>
_CCCL_HOST_DEVICE constexpr int LoadToSharedBufferSizeBytes(::cuda::std::size_t num_items)
{
  static_assert(::cuda::__is_valid_alignment<T>(GmemAlign));
  _CCCL_ASSERT(num_items <= ::cuda::std::size_t{::cuda::std::numeric_limits<int>::max()},
               "num_items must fit into an int");
  const int num_bytes = static_cast<int>(num_items) * int{sizeof(T)};
  if constexpr (GmemAlign >= static_cast<::cuda::std::size_t>(detail::bulk_copy_min_align))
  {
    return num_bytes;
  }
  const int extra_space = (num_bytes == 0) ? 0 : detail::bulk_copy_min_align;
  return ::cuda::round_up(num_bytes, detail::bulk_copy_min_align) + extra_space;
}

#if defined(CUB_DEFINE_RUNTIME_POLICIES)
// TODO(bgruber): drop in CCCL 4.0 when we drop the dispatchers
#  if !_CCCL_HAS_CONCEPTS()
#    error Generation of runtime policy wrappers requires C++20 concepts.
#  endif // !_CCCL_HAS_CONCEPTS()
#endif // defined(CUB_DEFINE_RUNTIME_POLICIES)

// TODO(bgruber): drop in CCCL 4.0 when we drop the dispatchers
#define CUB_DETAIL_POLICY_WRAPPER_CONCEPT_TEST(field) , StaticPolicyT::_CCCL_PP_FIRST field

// TODO(bgruber): drop in CCCL 4.0 when we drop the dispatchers
#define CUB_DETAIL_POLICY_WRAPPER_REFINE_CONCEPT(concept) concept<StaticPolicyT>&&

// TODO(bgruber): drop in CCCL 4.0 when we drop the dispatchers
#define CUB_DETAIL_POLICY_WRAPPER_ACCESSOR(field)                   \
  __host__ __device__ static constexpr auto _CCCL_PP_SECOND field() \
  {                                                                 \
    return StaticPolicyT::_CCCL_PP_FIRST field;                     \
  }

template <typename T>
_CCCL_CONCEPT always_true = true;

// TODO(bgruber): drop in CCCL 4.0 when we drop the dispatchers
#define CUB_DETAIL_POLICY_WRAPPER_DEFINE(concept_name, refines, ...)                                                   \
  template <typename StaticPolicyT>                                                                                    \
  _CCCL_CONCEPT concept_name = _CCCL_PP_FOR_EACH(CUB_DETAIL_POLICY_WRAPPER_REFINE_CONCEPT, _CCCL_PP_EXPAND refines)    \
    _CCCL_REQUIRES_EXPR((StaticPolicyT))(true _CCCL_PP_FOR_EACH(CUB_DETAIL_POLICY_WRAPPER_CONCEPT_TEST, __VA_ARGS__)); \
  template <typename StaticPolicyT>                                                                                    \
  struct concept_name##Wrapper : StaticPolicyT                                                                         \
  {                                                                                                                    \
    __host__ __device__ constexpr concept_name##Wrapper(StaticPolicyT base)                                            \
        : StaticPolicyT(base)                                                                                          \
    {}                                                                                                                 \
    _CCCL_PP_FOR_EACH(CUB_DETAIL_POLICY_WRAPPER_ACCESSOR, __VA_ARGS__)                                                 \
  };                                                                                                                   \
  _CCCL_TEMPLATE(typename StaticPolicyT)                                                                               \
  _CCCL_REQUIRES(concept_name<StaticPolicyT>)                                                                          \
  __host__ __device__ constexpr concept_name##Wrapper<StaticPolicyT> MakePolicyWrapper(StaticPolicyT policy)           \
  {                                                                                                                    \
    return concept_name##Wrapper{policy};                                                                              \
  }

// TODO(bgruber): drop in CCCL 4.0 when we drop the dispatchers
// Generic agent policy
CUB_DETAIL_POLICY_WRAPPER_DEFINE(
  GenericAgentPolicy, (always_true), (BLOCK_THREADS, ThreadsPerBlock, int), (ITEMS_PER_THREAD, ItemsPerThread, int) )

// TODO(bgruber): drop in CCCL 4.0 when we drop the dispatchers
_CCCL_TEMPLATE(typename PolicyT)
#if _CCCL_STD_VER < 2020
_CCCL_REQUIRES((!GenericAgentPolicy<PolicyT>) ) // in C++20+ we get this by preferring constrained functions
#endif
__host__ __device__ constexpr PolicyT MakePolicyWrapper(PolicyT policy)
{
  return policy;
}

#if !_CCCL_COMPILER(NVRTC)

// Forward declaration of the default kernel launcher factory
struct TripleChevronFactory;

// By default, CUB uses `cub::detail::TripleChevronFactory` to access the CUDA runtime.
// The `CUB_DETAIL_DEFAULT_KERNEL_LAUNCHER_FACTORY` indirection is used to override the default kernel launcher factory
// in CUB tests. This allows us to:
//   1. retrieve kernel pointers on the usage side of the API, and
//   2. validate use of specified CUDA stream by accelerated algorithms.
#  ifndef CUB_DETAIL_DEFAULT_KERNEL_LAUNCHER_FACTORY
#    define CUB_DETAIL_DEFAULT_KERNEL_LAUNCHER_FACTORY cub::detail::TripleChevronFactory
#  endif

/**
 * Kernel dispatch configuration
 */
struct KernelConfig
{
  int threads_per_block{0};
  int items_per_thread{0};
  int tile_size{0};
  int sm_occupancy{0};

  // TODO(bgruber): remove this overload in CCCL 4.0 when we drop the public dispatchers
  template <typename AgentPolicyT,
            typename KernelPtrT,
            typename LauncherFactory = CUB_DETAIL_DEFAULT_KERNEL_LAUNCHER_FACTORY>
  CUB_RUNTIME_FUNCTION _CCCL_VISIBILITY_HIDDEN _CCCL_FORCEINLINE cudaError_t
  Init(KernelPtrT kernel_ptr, AgentPolicyT agent_policy = {}, LauncherFactory launcher_factory = {})
  {
    threads_per_block = cub::detail::MakePolicyWrapper(agent_policy).ThreadsPerBlock();
    items_per_thread  = cub::detail::MakePolicyWrapper(agent_policy).ItemsPerThread();
    tile_size         = threads_per_block * items_per_thread;
    return launcher_factory.MaxSmOccupancy(sm_occupancy, kernel_ptr, threads_per_block);
  }

  // Using new tuning API conventions
  template <typename AgentPolicyT,
            typename KernelPtrT,
            typename LauncherFactory = CUB_DETAIL_DEFAULT_KERNEL_LAUNCHER_FACTORY>
  CUB_RUNTIME_FUNCTION _CCCL_VISIBILITY_HIDDEN _CCCL_FORCEINLINE cudaError_t
  __init(KernelPtrT kernel_ptr, AgentPolicyT agent_policy = {}, LauncherFactory launcher_factory = {})
  {
    threads_per_block = agent_policy.threads_per_block;
    items_per_thread  = agent_policy.items_per_thread;
    tile_size         = threads_per_block * items_per_thread;
    return launcher_factory.MaxSmOccupancy(sm_occupancy, kernel_ptr, threads_per_block);
  }
};

#endif // !_CCCL_COMPILER(NVRTC)

template <typename T>
struct get_active_policy
{
  using type = typename T::ActivePolicy;
};

/// Helper for dispatching into a policy chain
template <int PolicyPtxVersion, typename PolicyT, typename PrevPolicyT>
struct chained_policy
{
private:
  static constexpr bool have_previous_policy = !::cuda::std::is_same_v<PolicyT, PrevPolicyT>;

public:
  /// The policy for the active compiler pass
  using ActivePolicy =
    typename ::cuda::std::_If<(CUB_PTX_ARCH < PolicyPtxVersion && have_previous_policy),
                              detail::get_active_policy<PrevPolicyT>,
                              ::cuda::std::type_identity<PolicyT>>::type;

#if !_CCCL_COMPILER(NVRTC)
  /// Specializes and dispatches op in accordance to the first policy in the chain of adequate PTX version
  template <typename FunctorT>
  CUB_RUNTIME_FUNCTION _CCCL_FORCEINLINE static constexpr cudaError_t Invoke(int device_ptx_version, FunctorT& op)
  {
    // __CUDA_ARCH_LIST__ is available from CTK 11.5 onwards and contains values like 860
    // NV_TARGET_SM_INTEGER_LIST is defined by NVHPC and contains values like 86, so we need to scale by 10
#  ifdef __CUDA_ARCH_LIST__
    return runtime_cc_to_compiletime<1, __CUDA_ARCH_LIST__>(device_ptx_version, op);
#  elif defined(NV_TARGET_SM_INTEGER_LIST)
    return runtime_cc_to_compiletime<10, NV_TARGET_SM_INTEGER_LIST>(device_ptx_version, op);
#  else
    // some compilers, like clang in CUDA mode, do not have a macro, so we have to include a fallback
    if constexpr (have_previous_policy)
    {
      if (device_ptx_version < PolicyPtxVersion)
      {
        return PrevPolicyT::Invoke(device_ptx_version, op);
      }
    }
    return op.template Invoke<PolicyT>();
#  endif
  }
#endif // !_CCCL_COMPILER(NVRTC)

private:
  template <int, typename, typename>
  friend struct chained_policy; // let us call find_and_invoke_policy of other ChainedPolicy instantiations

#if !_CCCL_COMPILER(NVRTC)
  template <int CcMult, int... CudaCcs, typename FunctorT>
  CUB_RUNTIME_FUNCTION _CCCL_FORCEINLINE static constexpr cudaError_t
  runtime_cc_to_compiletime(int device_ptx_version, FunctorT& op)
  {
    // We instantiate find_and_invoke_policy for each CudaCcs (the arches we are compiling for), but only call the
    // one matching device_ptx_version.
    // If there's no exact match of the architectures in __CUDA_ARCH_LIST__/NV_TARGET_SM_INTEGER_LIST and the runtime
    // queried ptx version (i.e., the closest lower or equal ptx version to the current device's architecture that the
    // EmptyKernel was compiled for), we return cudaErrorInvalidDeviceFunction. Such a scenario is a bug and may arise
    // if CUB_DISABLE_NAMESPACE_MAGIC is set and different TUs are compiled for different sets of architecture.
    cudaError_t e = cudaErrorInvalidDeviceFunction;
    (..., (device_ptx_version == CudaCcs * CcMult ? (e = find_and_invoke_policy<CudaCcs * CcMult>(op)) : cudaSuccess));
    return e;
  }

  template <int DevicePtxVersion, typename FunctorT>
  CUB_RUNTIME_FUNCTION _CCCL_FORCEINLINE static constexpr cudaError_t find_and_invoke_policy(FunctorT& op)
  {
    // find the first policy we can use on DevicePtxVersion
    if constexpr (DevicePtxVersion < PolicyPtxVersion && have_previous_policy)
    {
      return PrevPolicyT::template find_and_invoke_policy<DevicePtxVersion>(op);
    }
    else
    {
      return op.template Invoke<PolicyT>();
    }
  }
#endif // !_CCCL_COMPILER(NVRTC)
};
} // namespace detail

/// Helper for dispatching into a policy chain
/// Deprecated [Since 3.5]
template <int PolicyPtxVersion, typename PolicyT, typename PrevPolicyT>
using ChainedPolicy
  CCCL_DEPRECATED_BECAUSE("Pass policy selectors into the environments of device-scope CUB algorithms to providing "
                          "custom tunings.") = detail::chained_policy<PolicyPtxVersion, PolicyT, PrevPolicyT>;

namespace detail
{
#if _CCCL_HAS_CONCEPTS()
// TODO(bgruber): should we either drop the Policy template argument or rename it to policy_selector_for?
template <typename T, typename Policy>
concept policy_selector = requires(T pol_sel, ::cuda::compute_capability cc) {
  requires ::cuda::std::regular<Policy>;
  { pol_sel(cc) } -> _CCCL_CONCEPT_VSTD::same_as<Policy>;
  // we cannot reliably check whether pol_sel(cc) is a constant expression, since it sometimes depends on the data
  // member values whether it can be constant evaluated (e.g., a default constructed reduce::policy_selector will lead
  // to a division by zero when evaluated)
};
#endif // _CCCL_HAS_CONCEPTS()
} // namespace detail

CUB_NAMESPACE_END

#if _CCCL_CUDA_COMPILATION() && !_CCCL_COMPILER(NVRTC)
#  include <cub/detail/launcher/cuda_runtime.cuh> // to complete the definition of TripleChevronFactory
#endif // _CCCL_CUDA_COMPILATION() && !_CCCL_COMPILER(NVRTC)