Spaces:
Runtime error
Runtime error
File size: 8,609 Bytes
be11144 |
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 |
/******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2018, 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.
*
******************************************************************************/
/**
* \file
* Random-access iterator types
*/
#pragma once
#include <iterator>
#include <iostream>
#include "../thread/thread_load.cuh"
#include "../thread/thread_store.cuh"
#include "../config.cuh"
#include "../util_device.cuh"
#if (THRUST_VERSION >= 100700)
// This iterator is compatible with Thrust API 1.7 and newer
#include <thrust/iterator/iterator_facade.h>
#include <thrust/iterator/iterator_traits.h>
#endif // THRUST_VERSION
/// Optional outer namespace(s)
CUB_NS_PREFIX
/// CUB namespace
namespace cub {
/**
* \addtogroup UtilIterator
* @{
*/
/**
* \brief A random-access input wrapper for transforming dereferenced values.
*
* \par Overview
* - TransformInputIteratorTwraps a unary conversion functor of type \p
* ConversionOp and a random-access input iterator of type <tt>InputIteratorT</tt>,
* using the former to produce references of type \p ValueType from the latter.
* - Can be used with any data type.
* - Can be constructed, manipulated, and exchanged within and between host and device
* functions. Wrapped host memory can only be dereferenced on the host, and wrapped
* device memory can only be dereferenced on the device.
* - Compatible with Thrust API v1.7 or newer.
*
* \par Snippet
* The code snippet below illustrates the use of \p TransformInputIteratorTto
* dereference an array of integers, tripling the values and converting them to doubles.
* \par
* \code
* #include <cub/cub.cuh> // or equivalently <cub/iterator/transform_input_iterator.cuh>
*
* // Functor for tripling integer values and converting to doubles
* struct TripleDoubler
* {
* __host__ __device__ __forceinline__
* double operator()(const int &a) const {
* return double(a * 3);
* }
* };
*
* // Declare, allocate, and initialize a device array
* int *d_in; // e.g., [8, 6, 7, 5, 3, 0, 9]
* TripleDoubler conversion_op;
*
* // Create an iterator wrapper
* cub::TransformInputIterator<double, TripleDoubler, int*> itr(d_in, conversion_op);
*
* // Within device code:
* printf("%f\n", itr[0]); // 24.0
* printf("%f\n", itr[1]); // 18.0
* printf("%f\n", itr[6]); // 27.0
*
* \endcode
*
* \tparam ValueType The value type of this iterator
* \tparam ConversionOp Unary functor type for mapping objects of type \p InputType to type \p ValueType. Must have member <tt>ValueType operator()(const InputType &datum)</tt>.
* \tparam InputIteratorT The type of the wrapped input iterator
* \tparam OffsetT The difference type of this iterator (Default: \p ptrdiff_t)
*
*/
template <
typename ValueType,
typename ConversionOp,
typename InputIteratorT,
typename OffsetT = ptrdiff_t>
class TransformInputIterator
{
public:
// Required iterator traits
typedef TransformInputIterator self_type; ///< My own type
typedef OffsetT difference_type; ///< Type to express the result of subtracting one iterator from another
typedef ValueType value_type; ///< The type of the element the iterator can point to
typedef ValueType* pointer; ///< The type of a pointer to an element the iterator can point to
typedef ValueType reference; ///< The type of a reference to an element the iterator can point to
#if (THRUST_VERSION >= 100700)
// Use Thrust's iterator categories so we can use these iterators in Thrust 1.7 (or newer) methods
typedef typename thrust::detail::iterator_facade_category<
thrust::any_system_tag,
thrust::random_access_traversal_tag,
value_type,
reference
>::type iterator_category; ///< The iterator category
#else
typedef std::random_access_iterator_tag iterator_category; ///< The iterator category
#endif // THRUST_VERSION
private:
ConversionOp conversion_op;
InputIteratorT input_itr;
public:
/// Constructor
__host__ __device__ __forceinline__ TransformInputIterator(
InputIteratorT input_itr, ///< Input iterator to wrap
ConversionOp conversion_op) ///< Conversion functor to wrap
:
conversion_op(conversion_op),
input_itr(input_itr)
{}
/// Postfix increment
__host__ __device__ __forceinline__ self_type operator++(int)
{
self_type retval = *this;
input_itr++;
return retval;
}
/// Prefix increment
__host__ __device__ __forceinline__ self_type operator++()
{
input_itr++;
return *this;
}
/// Indirection
__host__ __device__ __forceinline__ reference operator*() const
{
return conversion_op(*input_itr);
}
/// Addition
template <typename Distance>
__host__ __device__ __forceinline__ self_type operator+(Distance n) const
{
self_type retval(input_itr + n, conversion_op);
return retval;
}
/// Addition assignment
template <typename Distance>
__host__ __device__ __forceinline__ self_type& operator+=(Distance n)
{
input_itr += n;
return *this;
}
/// Subtraction
template <typename Distance>
__host__ __device__ __forceinline__ self_type operator-(Distance n) const
{
self_type retval(input_itr - n, conversion_op);
return retval;
}
/// Subtraction assignment
template <typename Distance>
__host__ __device__ __forceinline__ self_type& operator-=(Distance n)
{
input_itr -= n;
return *this;
}
/// Distance
__host__ __device__ __forceinline__ difference_type operator-(self_type other) const
{
return input_itr - other.input_itr;
}
/// Array subscript
template <typename Distance>
__host__ __device__ __forceinline__ reference operator[](Distance n) const
{
return conversion_op(input_itr[n]);
}
/// Structure dereference
__host__ __device__ __forceinline__ pointer operator->()
{
return &conversion_op(*input_itr);
}
/// Equal to
__host__ __device__ __forceinline__ bool operator==(const self_type& rhs)
{
return (input_itr == rhs.input_itr);
}
/// Not equal to
__host__ __device__ __forceinline__ bool operator!=(const self_type& rhs)
{
return (input_itr != rhs.input_itr);
}
/// ostream operator
friend std::ostream& operator<<(std::ostream& os, const self_type& /* itr */)
{
return os;
}
};
/** @} */ // end group UtilIterator
} // CUB namespace
CUB_NS_POSTFIX // Optional outer namespace(s)
|