/****************************************************************************** * 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 #include #include "../thread/thread_load.cuh" #include "../thread/thread_store.cuh" #include "../util_device.cuh" #include "../util_namespace.cuh" #include #if (THRUST_VERSION >= 100700) // This iterator is compatible with Thrust API 1.7 and newer #include #include #endif // THRUST_VERSION /// Optional outer namespace(s) CUB_NS_PREFIX /// CUB namespace namespace cub { /** * \addtogroup UtilIterator * @{ */ /** * \brief A random-access input wrapper for pairing dereferenced values with their corresponding indices (forming \p KeyValuePair tuples). * * \par Overview * - ArgIndexInputIteratorTwraps a random access input iterator \p itr of type \p InputIteratorT. * Dereferencing an ArgIndexInputIteratorTat offset \p i produces a \p KeyValuePair value whose * \p key field is \p i and whose \p value field is itr[i]. * - 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 ArgIndexInputIteratorTto * dereference an array of doubles * \par * \code * #include // or equivalently * * // Declare, allocate, and initialize a device array * double *d_in; // e.g., [8.0, 6.0, 7.0, 5.0, 3.0, 0.0, 9.0] * * // Create an iterator wrapper * cub::ArgIndexInputIterator itr(d_in); * * // Within device code: * typedef typename cub::ArgIndexInputIterator::value_type Tuple; * Tuple item_offset_pair.key = *itr; * printf("%f @ %d\n", * item_offset_pair.value, * item_offset_pair.key); // 8.0 @ 0 * * itr = itr + 6; * item_offset_pair.key = *itr; * printf("%f @ %d\n", * item_offset_pair.value, * item_offset_pair.key); // 9.0 @ 6 * * \endcode * * \tparam InputIteratorT The value type of the wrapped input iterator * \tparam OffsetT The difference type of this iterator (Default: \p ptrdiff_t) * \tparam OutputValueT The paired value type of the tuple (Default: value type of input iterator) */ template < typename InputIteratorT, typename OffsetT = ptrdiff_t, typename OutputValueT = typename std::iterator_traits::value_type> class ArgIndexInputIterator { public: // Required iterator traits typedef ArgIndexInputIterator self_type; ///< My own type typedef OffsetT difference_type; ///< Type to express the result of subtracting one iterator from another typedef KeyValuePair value_type; ///< The type of the element the iterator can point to typedef value_type* pointer; ///< The type of a pointer to an element the iterator can point to typedef value_type 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: InputIteratorT itr; difference_type offset; public: /// Constructor __host__ __device__ __forceinline__ ArgIndexInputIterator( InputIteratorT itr, ///< Input iterator to wrap difference_type offset = 0) ///< OffsetT (in items) from \p itr denoting the position of the iterator : itr(itr), offset(offset) {} /// Postfix increment __host__ __device__ __forceinline__ self_type operator++(int) { self_type retval = *this; offset++; return retval; } /// Prefix increment __host__ __device__ __forceinline__ self_type operator++() { offset++; return *this; } /// Indirection __host__ __device__ __forceinline__ reference operator*() const { value_type retval; retval.value = itr[offset]; retval.key = offset; return retval; } /// Addition template __host__ __device__ __forceinline__ self_type operator+(Distance n) const { self_type retval(itr, offset + n); return retval; } /// Addition assignment template __host__ __device__ __forceinline__ self_type& operator+=(Distance n) { offset += n; return *this; } /// Subtraction template __host__ __device__ __forceinline__ self_type operator-(Distance n) const { self_type retval(itr, offset - n); return retval; } /// Subtraction assignment template __host__ __device__ __forceinline__ self_type& operator-=(Distance n) { offset -= n; return *this; } /// Distance __host__ __device__ __forceinline__ difference_type operator-(self_type other) const { return offset - other.offset; } /// Array subscript template __host__ __device__ __forceinline__ reference operator[](Distance n) const { self_type offset = (*this) + n; return *offset; } /// Structure dereference __host__ __device__ __forceinline__ pointer operator->() { return &(*(*this)); } /// Equal to __host__ __device__ __forceinline__ bool operator==(const self_type& rhs) { return ((itr == rhs.itr) && (offset == rhs.offset)); } /// Not equal to __host__ __device__ __forceinline__ bool operator!=(const self_type& rhs) { return ((itr != rhs.itr) || (offset != rhs.offset)); } /// Normalize __host__ __device__ __forceinline__ void normalize() { itr += offset; offset = 0; } /// 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)