/home/runner/work/cccl/cccl/cub/cub/block/block_load.cuh
File members: /home/runner/work/cccl/cccl/cub/cub/block/block_load.cuh
/******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2016, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
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* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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******************************************************************************/
#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/block/block_exchange.cuh>
#include <cub/iterator/cache_modified_input_iterator.cuh>
#include <cub/util_ptx.cuh>
#include <cub/util_type.cuh>
CUB_NAMESPACE_BEGIN
template <typename InputT, int ITEMS_PER_THREAD, typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectBlocked(int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
// Load directly in thread-blocked order
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
items[ITEM] = block_itr[(linear_tid * ITEMS_PER_THREAD) + ITEM];
}
}
template <typename InputT, int ITEMS_PER_THREAD, typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectBlocked(int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
if ((linear_tid * ITEMS_PER_THREAD) + ITEM < valid_items)
{
items[ITEM] = block_itr[(linear_tid * ITEMS_PER_THREAD) + ITEM];
}
}
}
template <typename InputT, typename DefaultT, int ITEMS_PER_THREAD, typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void LoadDirectBlocked(
int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
items[ITEM] = oob_default;
}
LoadDirectBlocked(linear_tid, block_itr, items, valid_items);
}
#ifndef DOXYGEN_SHOULD_SKIP_THIS // Do not document
template <CacheLoadModifier MODIFIER, typename T, int ITEMS_PER_THREAD>
_CCCL_DEVICE _CCCL_FORCEINLINE void
InternalLoadDirectBlockedVectorized(int linear_tid, T* block_ptr, T (&items)[ITEMS_PER_THREAD])
{
// Biggest memory access word that T is a whole multiple of
using DeviceWord = typename UnitWord<T>::DeviceWord;
enum
{
TOTAL_WORDS = sizeof(items) / sizeof(DeviceWord),
VECTOR_SIZE = (TOTAL_WORDS % 4 == 0) ? 4
: (TOTAL_WORDS % 2 == 0) ? 2
: 1,
VECTORS_PER_THREAD = TOTAL_WORDS / VECTOR_SIZE,
};
// Vector type
using Vector = typename CubVector<DeviceWord, VECTOR_SIZE>::Type;
// Vector items
Vector vec_items[VECTORS_PER_THREAD];
// Aliased input ptr
Vector* vec_ptr = reinterpret_cast<Vector*>(block_ptr) + (linear_tid * VECTORS_PER_THREAD);
// Load directly in thread-blocked order
# pragma unroll
for (int ITEM = 0; ITEM < VECTORS_PER_THREAD; ITEM++)
{
vec_items[ITEM] = ThreadLoad<MODIFIER>(vec_ptr + ITEM);
}
// Copy
# pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
items[ITEM] = *(reinterpret_cast<T*>(vec_items) + ITEM);
}
}
#endif // DOXYGEN_SHOULD_SKIP_THIS
template <typename T, int ITEMS_PER_THREAD>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectBlockedVectorized(int linear_tid, T* block_ptr, T (&items)[ITEMS_PER_THREAD])
{
InternalLoadDirectBlockedVectorized<LOAD_DEFAULT>(linear_tid, block_ptr, items);
}
template <int BLOCK_THREADS, typename InputT, int ITEMS_PER_THREAD, typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectStriped(int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
items[ITEM] = block_itr[linear_tid + ITEM * BLOCK_THREADS];
}
}
namespace detail
{
template <int BLOCK_THREADS, typename InputT, int ITEMS_PER_THREAD, typename InputIteratorT, typename TransformOpT>
_CCCL_DEVICE _CCCL_FORCEINLINE void load_transform_direct_striped(
int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], TransformOpT transform_op)
{
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
items[ITEM] = transform_op(block_itr[linear_tid + ITEM * BLOCK_THREADS]);
}
}
} // namespace detail
template <int BLOCK_THREADS, typename InputT, int ITEMS_PER_THREAD, typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectStriped(int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
if (linear_tid + (ITEM * BLOCK_THREADS) < valid_items)
{
items[ITEM] = block_itr[linear_tid + ITEM * BLOCK_THREADS];
}
}
}
template <int BLOCK_THREADS, typename InputT, typename DefaultT, int ITEMS_PER_THREAD, typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void LoadDirectStriped(
int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
items[ITEM] = oob_default;
}
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_itr, items, valid_items);
}
template <typename InputT, int ITEMS_PER_THREAD, typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectWarpStriped(int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
int tid = linear_tid & (CUB_PTX_WARP_THREADS - 1);
int wid = linear_tid >> CUB_PTX_LOG_WARP_THREADS;
int warp_offset = wid * CUB_PTX_WARP_THREADS * ITEMS_PER_THREAD;
// Load directly in warp-striped order
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
new (&items[ITEM]) InputT(block_itr[warp_offset + tid + (ITEM * CUB_PTX_WARP_THREADS)]);
}
}
template <typename InputT, int ITEMS_PER_THREAD, typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectWarpStriped(int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
int tid = linear_tid & (CUB_PTX_WARP_THREADS - 1);
int wid = linear_tid >> CUB_PTX_LOG_WARP_THREADS;
int warp_offset = wid * CUB_PTX_WARP_THREADS * ITEMS_PER_THREAD;
// Load directly in warp-striped order
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
if (warp_offset + tid + (ITEM * CUB_PTX_WARP_THREADS) < valid_items)
{
new (&items[ITEM]) InputT(block_itr[warp_offset + tid + (ITEM * CUB_PTX_WARP_THREADS)]);
}
}
}
template <typename InputT, typename DefaultT, int ITEMS_PER_THREAD, typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void LoadDirectWarpStriped(
int linear_tid, InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
// Load directly in warp-striped order
#pragma unroll
for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
{
items[ITEM] = oob_default;
}
LoadDirectWarpStriped(linear_tid, block_itr, items, valid_items);
}
enum BlockLoadAlgorithm
{
BLOCK_LOAD_DIRECT,
BLOCK_LOAD_STRIPED,
BLOCK_LOAD_VECTORIZE,
BLOCK_LOAD_TRANSPOSE,
BLOCK_LOAD_WARP_TRANSPOSE,
BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED,
};
template <typename InputT,
int BLOCK_DIM_X,
int ITEMS_PER_THREAD,
BlockLoadAlgorithm ALGORITHM = BLOCK_LOAD_DIRECT,
int BLOCK_DIM_Y = 1,
int BLOCK_DIM_Z = 1,
int LEGACY_PTX_ARCH = 0>
class BlockLoad
{
private:
enum
{
BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z,
};
template <BlockLoadAlgorithm _POLICY, int DUMMY>
struct LoadInternal;
template <int DUMMY>
struct LoadInternal<BLOCK_LOAD_DIRECT, DUMMY>
{
using TempStorage = NullType;
int linear_tid;
_CCCL_DEVICE _CCCL_FORCEINLINE LoadInternal(TempStorage& /*temp_storage*/, int linear_tid)
: linear_tid(linear_tid)
{}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
LoadDirectBlocked(linear_tid, block_itr, items);
}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
LoadDirectBlocked(linear_tid, block_itr, items, valid_items);
}
template <typename InputIteratorT, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
LoadDirectBlocked(linear_tid, block_itr, items, valid_items, oob_default);
}
};
template <int DUMMY>
struct LoadInternal<BLOCK_LOAD_STRIPED, DUMMY>
{
using TempStorage = NullType;
int linear_tid;
_CCCL_DEVICE _CCCL_FORCEINLINE LoadInternal(TempStorage& /*temp_storage*/, int linear_tid)
: linear_tid(linear_tid)
{}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_itr, items);
}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_itr, items, valid_items);
}
template <typename InputIteratorT, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_itr, items, valid_items, oob_default);
}
};
template <int DUMMY>
struct LoadInternal<BLOCK_LOAD_VECTORIZE, DUMMY>
{
using TempStorage = NullType;
int linear_tid;
_CCCL_DEVICE _CCCL_FORCEINLINE LoadInternal(TempStorage& /*temp_storage*/, int linear_tid)
: linear_tid(linear_tid)
{}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(InputT* block_ptr, InputT (&items)[ITEMS_PER_THREAD])
{
InternalLoadDirectBlockedVectorized<LOAD_DEFAULT>(linear_tid, block_ptr, items);
}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(const InputT* block_ptr, InputT (&items)[ITEMS_PER_THREAD])
{
InternalLoadDirectBlockedVectorized<LOAD_DEFAULT>(linear_tid, block_ptr, items);
}
template <CacheLoadModifier MODIFIER, typename ValueType, typename OffsetT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(CacheModifiedInputIterator<MODIFIER, ValueType, OffsetT> block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
InternalLoadDirectBlockedVectorized<MODIFIER>(linear_tid, block_itr.ptr, items);
}
template <typename _InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(_InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
LoadDirectBlocked(linear_tid, block_itr, items);
}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
LoadDirectBlocked(linear_tid, block_itr, items, valid_items);
}
template <typename InputIteratorT, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
LoadDirectBlocked(linear_tid, block_itr, items, valid_items, oob_default);
}
};
template <int DUMMY>
struct LoadInternal<BLOCK_LOAD_TRANSPOSE, DUMMY>
{
// BlockExchange utility type for keys
using BlockExchange = BlockExchange<InputT, BLOCK_DIM_X, ITEMS_PER_THREAD, false, BLOCK_DIM_Y, BLOCK_DIM_Z>;
struct _TempStorage : BlockExchange::TempStorage
{};
struct TempStorage : Uninitialized<_TempStorage>
{};
_TempStorage& temp_storage;
int linear_tid;
_CCCL_DEVICE _CCCL_FORCEINLINE LoadInternal(TempStorage& temp_storage, int linear_tid)
: temp_storage(temp_storage.Alias())
, linear_tid(linear_tid)
{}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_itr, items);
BlockExchange(temp_storage).StripedToBlocked(items, items);
}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_itr, items, valid_items);
BlockExchange(temp_storage).StripedToBlocked(items, items);
}
template <typename InputIteratorT, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_itr, items, valid_items, oob_default);
BlockExchange(temp_storage).StripedToBlocked(items, items);
}
};
template <int DUMMY>
struct LoadInternal<BLOCK_LOAD_WARP_TRANSPOSE, DUMMY>
{
enum
{
WARP_THREADS = CUB_WARP_THREADS(0)
};
// Assert BLOCK_THREADS must be a multiple of WARP_THREADS
static_assert(int(BLOCK_THREADS) % int(WARP_THREADS) == 0, "BLOCK_THREADS must be a multiple of WARP_THREADS");
// BlockExchange utility type for keys
using BlockExchange = BlockExchange<InputT, BLOCK_DIM_X, ITEMS_PER_THREAD, false, BLOCK_DIM_Y, BLOCK_DIM_Z>;
struct _TempStorage : BlockExchange::TempStorage
{};
struct TempStorage : Uninitialized<_TempStorage>
{};
_TempStorage& temp_storage;
int linear_tid;
_CCCL_DEVICE _CCCL_FORCEINLINE LoadInternal(TempStorage& temp_storage, int linear_tid)
: temp_storage(temp_storage.Alias())
, linear_tid(linear_tid)
{}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
LoadDirectWarpStriped(linear_tid, block_itr, items);
BlockExchange(temp_storage).WarpStripedToBlocked(items, items);
}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
LoadDirectWarpStriped(linear_tid, block_itr, items, valid_items);
BlockExchange(temp_storage).WarpStripedToBlocked(items, items);
}
template <typename InputIteratorT, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
LoadDirectWarpStriped(linear_tid, block_itr, items, valid_items, oob_default);
BlockExchange(temp_storage).WarpStripedToBlocked(items, items);
}
};
template <int DUMMY>
struct LoadInternal<BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED, DUMMY>
{
enum
{
WARP_THREADS = CUB_WARP_THREADS(0)
};
// Assert BLOCK_THREADS must be a multiple of WARP_THREADS
static_assert(int(BLOCK_THREADS) % int(WARP_THREADS) == 0, "BLOCK_THREADS must be a multiple of WARP_THREADS");
// BlockExchange utility type for keys
using BlockExchange = BlockExchange<InputT, BLOCK_DIM_X, ITEMS_PER_THREAD, true, BLOCK_DIM_Y, BLOCK_DIM_Z>;
struct _TempStorage : BlockExchange::TempStorage
{};
struct TempStorage : Uninitialized<_TempStorage>
{};
_TempStorage& temp_storage;
int linear_tid;
_CCCL_DEVICE _CCCL_FORCEINLINE LoadInternal(TempStorage& temp_storage, int linear_tid)
: temp_storage(temp_storage.Alias())
, linear_tid(linear_tid)
{}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
LoadDirectWarpStriped(linear_tid, block_itr, items);
BlockExchange(temp_storage).WarpStripedToBlocked(items, items);
}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
LoadDirectWarpStriped(linear_tid, block_itr, items, valid_items);
BlockExchange(temp_storage).WarpStripedToBlocked(items, items);
}
template <typename InputIteratorT, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
LoadDirectWarpStriped(linear_tid, block_itr, items, valid_items, oob_default);
BlockExchange(temp_storage).WarpStripedToBlocked(items, items);
}
};
using InternalLoad = LoadInternal<ALGORITHM, 0>;
using _TempStorage = typename InternalLoad::TempStorage;
_CCCL_DEVICE _CCCL_FORCEINLINE _TempStorage& PrivateStorage()
{
__shared__ _TempStorage private_storage;
return private_storage;
}
_TempStorage& temp_storage;
int linear_tid;
public:
struct TempStorage : Uninitialized<_TempStorage>
{};
_CCCL_DEVICE _CCCL_FORCEINLINE BlockLoad()
: temp_storage(PrivateStorage())
, linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z))
{}
_CCCL_DEVICE _CCCL_FORCEINLINE BlockLoad(TempStorage& temp_storage)
: temp_storage(temp_storage.Alias())
, linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z))
{}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD])
{
InternalLoad(temp_storage, linear_tid).Load(block_itr, items);
}
template <typename InputIteratorT>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items)
{
InternalLoad(temp_storage, linear_tid).Load(block_itr, items, valid_items);
}
template <typename InputIteratorT, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(InputIteratorT block_itr, InputT (&items)[ITEMS_PER_THREAD], int valid_items, DefaultT oob_default)
{
InternalLoad(temp_storage, linear_tid).Load(block_itr, items, valid_items, oob_default);
}
};
template <class Policy, class It, class T = cub::detail::value_t<It>>
struct BlockLoadType
{
using type = cub::BlockLoad<T, Policy::BLOCK_THREADS, Policy::ITEMS_PER_THREAD, Policy::LOAD_ALGORITHM>;
};
CUB_NAMESPACE_END