1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311
|
/******************************************************************************
* Copyright (c) 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;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/
#pragma once
#include <thrust/detail/config.h>
#if THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_NVCC
#include <thrust/detail/cstdint.h>
#include <thrust/detail/minmax.h>
#include <thrust/detail/temporary_array.h>
#include <thrust/detail/type_traits.h>
#include <thrust/functional.h>
#include <thrust/system/cuda/config.h>
#include <thrust/system/cuda/detail/dispatch.h>
#include <thrust/system/cuda/detail/par_to_seq.h>
#include <thrust/system/cuda/detail/util.h>
#include <thrust/type_traits/is_contiguous_iterator.h>
#include <thrust/type_traits/remove_cvref.h>
#include <cub/device/device_adjacent_difference.cuh>
#include <cub/device/device_select.cuh>
#include <cub/util_math.cuh>
THRUST_NAMESPACE_BEGIN
template <typename DerivedPolicy, typename InputIterator, typename OutputIterator, typename BinaryFunction>
__host__ __device__ OutputIterator
adjacent_difference(
const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
InputIterator first,
InputIterator last,
OutputIterator result,
BinaryFunction binary_op);
namespace cuda_cub {
namespace __adjacent_difference {
template <bool MayAlias,
class InputIt,
class OutputIt,
class BinaryOp>
cudaError_t THRUST_RUNTIME_FUNCTION
doit_step(void *d_temp_storage,
size_t &temp_storage_bytes,
InputIt first,
OutputIt result,
BinaryOp binary_op,
std::size_t num_items,
cudaStream_t stream,
bool debug_sync)
{
if (num_items == 0)
{
return cudaSuccess;
}
constexpr bool may_alias = MayAlias;
constexpr bool read_left = true;
using Dispatch32 = cub::DispatchAdjacentDifference<InputIt,
OutputIt,
BinaryOp,
thrust::detail::int32_t,
may_alias,
read_left>;
using Dispatch64 = cub::DispatchAdjacentDifference<InputIt,
OutputIt,
BinaryOp,
thrust::detail::int64_t,
may_alias,
read_left>;
cudaError_t status;
THRUST_INDEX_TYPE_DISPATCH2(status,
Dispatch32::Dispatch,
Dispatch64::Dispatch,
num_items,
(d_temp_storage,
temp_storage_bytes,
first,
result,
num_items_fixed,
binary_op,
stream,
debug_sync));
return status;
}
template <class InputIt,
class OutputIt,
class BinaryOp>
cudaError_t THRUST_RUNTIME_FUNCTION
doit_step(void *d_temp_storage,
size_t &temp_storage_bytes,
InputIt first,
OutputIt result,
BinaryOp binary_op,
std::size_t num_items,
cudaStream_t stream,
bool debug_sync,
thrust::detail::integral_constant<bool, false> /* comparable */)
{
constexpr bool may_alias = true;
return doit_step<may_alias>(d_temp_storage,
temp_storage_bytes,
first,
result,
binary_op,
num_items,
stream,
debug_sync);
}
template <class InputIt,
class OutputIt,
class BinaryOp>
cudaError_t THRUST_RUNTIME_FUNCTION
doit_step(void *d_temp_storage,
size_t &temp_storage_bytes,
InputIt first,
OutputIt result,
BinaryOp binary_op,
std::size_t num_items,
cudaStream_t stream,
bool debug_sync,
thrust::detail::integral_constant<bool, true> /* comparable */)
{
// The documentation states that pointers might be equal but can't alias in
// any other way. That is, the distance should be equal to zero or exceed
// `num_items`. In the latter case, we use an optimized version.
if (first != result)
{
constexpr bool may_alias = false;
return doit_step<may_alias>(d_temp_storage,
temp_storage_bytes,
first,
result,
binary_op,
num_items,
stream,
debug_sync);
}
constexpr bool may_alias = true;
return doit_step<may_alias>(d_temp_storage,
temp_storage_bytes,
first,
result,
binary_op,
num_items,
stream,
debug_sync);
}
template <typename Derived,
typename InputIt,
typename OutputIt,
typename BinaryOp>
OutputIt THRUST_RUNTIME_FUNCTION
adjacent_difference(execution_policy<Derived>& policy,
InputIt first,
InputIt last,
OutputIt result,
BinaryOp binary_op)
{
const auto num_items =
static_cast<std::size_t>(thrust::distance(first, last));
std::size_t storage_size = 0;
cudaStream_t stream = cuda_cub::stream(policy);
const bool debug_sync = THRUST_DEBUG_SYNC_FLAG;
using UnwrapInputIt = thrust::detail::try_unwrap_contiguous_iterator_return_t<InputIt>;
using UnwrapOutputIt = thrust::detail::try_unwrap_contiguous_iterator_return_t<OutputIt>;
using InputValueT = thrust::iterator_value_t<UnwrapInputIt>;
using OutputValueT = thrust::iterator_value_t<UnwrapOutputIt>;
constexpr bool can_compare_iterators =
std::is_pointer<UnwrapInputIt>::value &&
std::is_pointer<UnwrapOutputIt>::value &&
std::is_same<InputValueT, OutputValueT>::value;
auto first_unwrap = thrust::detail::try_unwrap_contiguous_iterator(first);
auto result_unwrap = thrust::detail::try_unwrap_contiguous_iterator(result);
thrust::detail::integral_constant<bool, can_compare_iterators> comparable;
cudaError_t status = doit_step(nullptr,
storage_size,
first_unwrap,
result_unwrap,
binary_op,
num_items,
stream,
debug_sync,
comparable);
cuda_cub::throw_on_error(status, "adjacent_difference failed on 1st step");
// Allocate temporary storage.
thrust::detail::temporary_array<thrust::detail::uint8_t, Derived>
tmp(policy, storage_size);
status = doit_step(static_cast<void *>(tmp.data().get()),
storage_size,
first_unwrap,
result_unwrap,
binary_op,
num_items,
stream,
debug_sync,
comparable);
cuda_cub::throw_on_error(status, "adjacent_difference failed on 2nd step");
status = cuda_cub::synchronize_optional(policy);
cuda_cub::throw_on_error(status, "adjacent_difference failed to synchronize");
return result + num_items;
}
} // namespace __adjacent_difference
//-------------------------
// Thrust API entry points
//-------------------------
__thrust_exec_check_disable__
template <class Derived,
class InputIt,
class OutputIt,
class BinaryOp>
OutputIt __host__ __device__
adjacent_difference(execution_policy<Derived> &policy,
InputIt first,
InputIt last,
OutputIt result,
BinaryOp binary_op)
{
OutputIt ret = result;
if (__THRUST_HAS_CUDART__)
{
ret = __adjacent_difference::adjacent_difference(policy,
first,
last,
result,
binary_op);
}
else
{
#if !__THRUST_HAS_CUDART__
ret = thrust::adjacent_difference(cvt_to_seq(derived_cast(policy)),
first,
last,
result,
binary_op);
#endif
}
return ret;
}
template <class Derived,
class InputIt,
class OutputIt>
OutputIt __host__ __device__
adjacent_difference(execution_policy<Derived> &policy,
InputIt first,
InputIt last,
OutputIt result)
{
typedef typename iterator_traits<InputIt>::value_type input_type;
return cuda_cub::adjacent_difference(policy,
first,
last,
result,
minus<input_type>());
}
} // namespace cuda_cub
THRUST_NAMESPACE_END
//
#include <thrust/memory.h>
#include <thrust/adjacent_difference.h>
#endif
|