cub/block/block_load.cuh
File members: 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.
* * Redistributions in binary form must reproduce the above copyright
* 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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******************************************************************************/
#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 T, int ITEMS_PER_THREAD, typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectBlocked(int linear_tid, RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
// Load directly in thread-blocked order
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
dst_items[i] = block_src_it[linear_tid * ITEMS_PER_THREAD + i];
}
}
template <typename T, int ITEMS_PER_THREAD, typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void LoadDirectBlocked(
int linear_tid, RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
const auto src_pos = linear_tid * ITEMS_PER_THREAD + i;
if (src_pos < block_items_end)
{
dst_items[i] = block_src_it[src_pos];
}
}
}
template <typename T, typename DefaultT, int ITEMS_PER_THREAD, typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void LoadDirectBlocked(
int linear_tid,
RandomAccessIterator block_src_it,
T (&dst_items)[ITEMS_PER_THREAD],
int block_items_end,
DefaultT oob_default)
{
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
dst_items[i] = oob_default;
}
LoadDirectBlocked(linear_tid, block_src_it, dst_items, block_items_end);
}
#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, const T* block_src_ptr, T (&dst_items)[ITEMS_PER_THREAD])
{
// Find biggest memory access word that T is a whole multiple of
using device_word_t = typename UnitWord<T>::DeviceWord;
_CCCL_DIAG_PUSH
# if defined(CUB_CLANG_VERSION) && CUB_CLANG_VERSION >= 100000
_CCCL_DIAG_SUPPRESS_CLANG("-Wsizeof-array-div")
# endif // defined(CUB_CLANG_VERSION) && CUB_CLANG_VERSION >= 100000
constexpr int total_words = static_cast<int>(sizeof(dst_items) / sizeof(device_word_t));
_CCCL_DIAG_POP
constexpr int vector_size = (total_words % 4 == 0) ? 4 : (total_words % 2 == 0) ? 2 : 1;
constexpr int vectors_per_thread = total_words / vector_size;
using vector_t = typename CubVector<device_word_t, vector_size>::Type;
// Load into an array of vectors in thread-blocked order
vector_t vec_items[vectors_per_thread];
const vector_t* vec_ptr = reinterpret_cast<const vector_t*>(block_src_ptr) + linear_tid * vectors_per_thread;
# pragma unroll
for (int i = 0; i < vectors_per_thread; i++)
{
vec_items[i] = ThreadLoad<MODIFIER>(vec_ptr + i);
}
// Copy to destination
# pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
dst_items[i] = *(reinterpret_cast<T*>(vec_items) + i);
}
}
#endif // DOXYGEN_SHOULD_SKIP_THIS
template <typename T, int ITEMS_PER_THREAD>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectBlockedVectorized(int linear_tid, T* block_src_ptr, T (&dst_items)[ITEMS_PER_THREAD])
{
InternalLoadDirectBlockedVectorized<LOAD_DEFAULT>(linear_tid, block_src_ptr, dst_items);
}
template <int BLOCK_THREADS, typename T, int ITEMS_PER_THREAD, typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectStriped(int linear_tid, RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
dst_items[i] = block_src_it[linear_tid + i * BLOCK_THREADS];
}
}
namespace detail
{
template <int BLOCK_THREADS, typename T, int ITEMS_PER_THREAD, typename RandomAccessIterator, typename TransformOpT>
_CCCL_DEVICE _CCCL_FORCEINLINE void load_transform_direct_striped(
int linear_tid, RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], TransformOpT transform_op)
{
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
dst_items[i] = transform_op(block_src_it[linear_tid + i * BLOCK_THREADS]);
}
}
} // namespace detail
template <int BLOCK_THREADS, typename T, int ITEMS_PER_THREAD, typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void LoadDirectStriped(
int linear_tid, RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
const auto src_pos = linear_tid + i * BLOCK_THREADS;
if (src_pos < block_items_end)
{
dst_items[i] = block_src_it[src_pos];
}
}
}
template <int BLOCK_THREADS, typename T, typename DefaultT, int ITEMS_PER_THREAD, typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void LoadDirectStriped(
int linear_tid,
RandomAccessIterator block_src_it,
T (&dst_items)[ITEMS_PER_THREAD],
int block_items_end,
DefaultT oob_default)
{
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
dst_items[i] = oob_default;
}
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_src_it, dst_items, block_items_end);
}
template <typename T, int ITEMS_PER_THREAD, typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
LoadDirectWarpStriped(int linear_tid, RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
const int tid = linear_tid & (CUB_PTX_WARP_THREADS - 1);
const int wid = linear_tid >> CUB_PTX_LOG_WARP_THREADS;
const int warp_offset = wid * CUB_PTX_WARP_THREADS * ITEMS_PER_THREAD;
// Load directly in warp-striped order
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
new (&dst_items[i]) T(block_src_it[warp_offset + tid + (i * CUB_PTX_WARP_THREADS)]);
}
}
template <typename T, int ITEMS_PER_THREAD, typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void LoadDirectWarpStriped(
int linear_tid, RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
const int tid = linear_tid & (CUB_PTX_WARP_THREADS - 1);
const int wid = linear_tid >> CUB_PTX_LOG_WARP_THREADS;
const int warp_offset = wid * CUB_PTX_WARP_THREADS * ITEMS_PER_THREAD;
// Load directly in warp-striped order
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
const auto src_pos = warp_offset + tid + (i * CUB_PTX_WARP_THREADS);
if (src_pos < block_items_end)
{
new (&dst_items[i]) T(block_src_it[src_pos]);
}
}
}
template <typename T, typename DefaultT, int ITEMS_PER_THREAD, typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void LoadDirectWarpStriped(
int linear_tid,
RandomAccessIterator block_src_it,
T (&dst_items)[ITEMS_PER_THREAD],
int block_items_end,
DefaultT oob_default)
{
// Load directly in warp-striped order
#pragma unroll
for (int i = 0; i < ITEMS_PER_THREAD; i++)
{
dst_items[i] = oob_default;
}
LoadDirectWarpStriped(linear_tid, block_src_it, dst_items, block_items_end);
}
enum BlockLoadAlgorithm
{
BLOCK_LOAD_DIRECT,
BLOCK_LOAD_STRIPED,
BLOCK_LOAD_VECTORIZE,
BLOCK_LOAD_TRANSPOSE,
BLOCK_LOAD_WARP_TRANSPOSE,
BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED,
};
// The data type to read into (which must be convertible from the input iterator's value type).
template <typename T,
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
{
static constexpr int BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z; // total threads in the block
template <BlockLoadAlgorithm _POLICY, int DUMMY>
struct LoadInternal; // helper to dispatch the load algorithm
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 RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
LoadDirectBlocked(linear_tid, block_src_it, dst_items);
}
template <typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
LoadDirectBlocked(linear_tid, block_src_it, dst_items, block_items_end);
}
template <typename RandomAccessIterator, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end, DefaultT oob_default)
{
LoadDirectBlocked(linear_tid, block_src_it, dst_items, block_items_end, 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 RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_src_it, dst_items);
}
template <typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_src_it, dst_items, block_items_end);
}
template <typename RandomAccessIterator, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end, DefaultT oob_default)
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_src_it, dst_items, block_items_end, 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)
{}
// attempts vectorization (pointer)
template <typename>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(const T* block_ptr, T (&dst_items)[ITEMS_PER_THREAD])
{
InternalLoadDirectBlockedVectorized<LOAD_DEFAULT>(linear_tid, block_ptr, dst_items);
}
// any other iterator, no vectorization
template <typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
LoadDirectBlocked(linear_tid, block_src_it, dst_items);
}
// attempts vectorization (cache modified iterator)
template <CacheLoadModifier MODIFIER, typename ValueType, typename OffsetT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(CacheModifiedInputIterator<MODIFIER, ValueType, OffsetT> block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
InternalLoadDirectBlockedVectorized<MODIFIER>(linear_tid, block_src_it.ptr, dst_items);
}
// skips vectorization
template <typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
LoadDirectBlocked(linear_tid, block_src_it, dst_items, block_items_end);
}
// skips vectorization
template <typename RandomAccessIterator, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end, DefaultT oob_default)
{
LoadDirectBlocked(linear_tid, block_src_it, dst_items, block_items_end, oob_default);
}
};
template <int DUMMY>
struct LoadInternal<BLOCK_LOAD_TRANSPOSE, DUMMY>
{
using BlockExchange = BlockExchange<T, BLOCK_DIM_X, ITEMS_PER_THREAD, false, BLOCK_DIM_Y, BLOCK_DIM_Z>;
using _TempStorage = typename BlockExchange::TempStorage;
using 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 RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_src_it, dst_items);
BlockExchange(temp_storage).StripedToBlocked(dst_items, dst_items);
}
template <typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_src_it, dst_items, block_items_end);
BlockExchange(temp_storage).StripedToBlocked(dst_items, dst_items);
}
template <typename RandomAccessIterator, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end, DefaultT oob_default)
{
LoadDirectStriped<BLOCK_THREADS>(linear_tid, block_src_it, dst_items, block_items_end, oob_default);
BlockExchange(temp_storage).StripedToBlocked(dst_items, dst_items);
}
};
template <int DUMMY>
struct LoadInternal<BLOCK_LOAD_WARP_TRANSPOSE, DUMMY>
{
static constexpr int WARP_THREADS = CUB_WARP_THREADS(0);
static_assert(BLOCK_THREADS % WARP_THREADS == 0, "BLOCK_THREADS must be a multiple of WARP_THREADS");
using BlockExchange = BlockExchange<T, BLOCK_DIM_X, ITEMS_PER_THREAD, false, BLOCK_DIM_Y, BLOCK_DIM_Z>;
using _TempStorage = typename BlockExchange::TempStorage;
using 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 RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
LoadDirectWarpStriped(linear_tid, block_src_it, dst_items);
BlockExchange(temp_storage).WarpStripedToBlocked(dst_items, dst_items);
}
template <typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
LoadDirectWarpStriped(linear_tid, block_src_it, dst_items, block_items_end);
BlockExchange(temp_storage).WarpStripedToBlocked(dst_items, dst_items);
}
template <typename RandomAccessIterator, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end, DefaultT oob_default)
{
LoadDirectWarpStriped(linear_tid, block_src_it, dst_items, block_items_end, oob_default);
BlockExchange(temp_storage).WarpStripedToBlocked(dst_items, dst_items);
}
};
template <int DUMMY>
struct LoadInternal<BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED, DUMMY>
{
static constexpr int WARP_THREADS = CUB_WARP_THREADS(0);
static_assert(BLOCK_THREADS % WARP_THREADS == 0, "BLOCK_THREADS must be a multiple of WARP_THREADS");
using BlockExchange = BlockExchange<T, BLOCK_DIM_X, ITEMS_PER_THREAD, true, BLOCK_DIM_Y, BLOCK_DIM_Z>;
using _TempStorage = typename BlockExchange::TempStorage;
using 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 RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
LoadDirectWarpStriped(linear_tid, block_src_it, dst_items);
BlockExchange(temp_storage).WarpStripedToBlocked(dst_items, dst_items);
}
template <typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
LoadDirectWarpStriped(linear_tid, block_src_it, dst_items, block_items_end);
BlockExchange(temp_storage).WarpStripedToBlocked(dst_items, dst_items);
}
template <typename RandomAccessIterator, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end, DefaultT oob_default)
{
LoadDirectWarpStriped(linear_tid, block_src_it, dst_items, block_items_end, oob_default);
BlockExchange(temp_storage).WarpStripedToBlocked(dst_items, dst_items);
}
};
using InternalLoad = LoadInternal<ALGORITHM, 0>; // load implementation to use
using _TempStorage = typename InternalLoad::TempStorage;
// Internal storage allocator
_CCCL_DEVICE _CCCL_FORCEINLINE _TempStorage& PrivateStorage()
{
__shared__ _TempStorage private_storage;
return private_storage;
}
_TempStorage& temp_storage;
int linear_tid;
public:
using 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 RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD])
{
InternalLoad(temp_storage, linear_tid).Load(block_src_it, dst_items);
}
template <typename RandomAccessIterator>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end)
{
InternalLoad(temp_storage, linear_tid).Load(block_src_it, dst_items, block_items_end);
}
template <typename RandomAccessIterator, typename DefaultT>
_CCCL_DEVICE _CCCL_FORCEINLINE void
Load(RandomAccessIterator block_src_it, T (&dst_items)[ITEMS_PER_THREAD], int block_items_end, DefaultT oob_default)
{
InternalLoad(temp_storage, linear_tid).Load(block_src_it, dst_items, block_items_end, 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