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tools/cub-1.8.0/cub/iterator/tex_obj_input_iterator.cuh
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/****************************************************************************** * 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 "../util_device.cuh" #include "../util_debug.cuh" #include "../util_namespace.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 dereferencing array values through texture cache. Uses newer Kepler-style texture objects. * * \par Overview * - TexObjInputIteratorTwraps a native device pointer of type <tt>ValueType*</tt>. References * to elements are to be loaded through texture cache. * - Can be used to load any data type from memory through texture cache. * - Can be manipulated and exchanged within and between host and device * functions, can only be constructed within host functions, and can only be * dereferenced within device functions. * - With regard to nested/dynamic parallelism, TexObjInputIteratorTiterators may only be * created by the host thread, but can be used by any descendant kernel. * - Compatible with Thrust API v1.7 or newer. * * \par Snippet * The code snippet below illustrates the use of \p TexRefInputIteratorTto * dereference a device array of doubles through texture cache. * \par * \code * #include <cub/cub.cuh> // or equivalently <cub/iterator/tex_obj_input_iterator.cuh> * * // Declare, allocate, and initialize a device array * int num_items; // e.g., 7 * double *d_in; // e.g., [8.0, 6.0, 7.0, 5.0, 3.0, 0.0, 9.0] * * // Create an iterator wrapper * cub::TexObjInputIterator<double> itr; * itr.BindTexture(d_in, sizeof(double) * num_items); * ... * * // Within device code: * printf("%f ", itr[0]); // 8.0 * printf("%f ", itr[1]); // 6.0 * printf("%f ", itr[6]); // 9.0 * * ... * itr.UnbindTexture(); * * \endcode * * \tparam T The value type of this iterator * \tparam OffsetT The difference type of this iterator (Default: \p ptrdiff_t) */ template < typename T, typename OffsetT = ptrdiff_t> class TexObjInputIterator { public: // Required iterator traits typedef TexObjInputIterator self_type; ///< My own type typedef OffsetT difference_type; ///< Type to express the result of subtracting one iterator from another typedef T value_type; ///< The type of the element the iterator can point to typedef T* pointer; ///< The type of a pointer to an element the iterator can point to typedef T 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::device_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: // Largest texture word we can use in device typedef typename UnitWord<T>::TextureWord TextureWord; // Number of texture words per T enum { TEXTURE_MULTIPLE = sizeof(T) / sizeof(TextureWord) }; private: T* ptr; difference_type tex_offset; cudaTextureObject_t tex_obj; public: /// Constructor __host__ __device__ __forceinline__ TexObjInputIterator() : ptr(NULL), tex_offset(0), tex_obj(0) {} /// Use this iterator to bind \p ptr with a texture reference template <typename QualifiedT> cudaError_t BindTexture( QualifiedT *ptr, ///< Native pointer to wrap that is aligned to cudaDeviceProp::textureAlignment size_t bytes = size_t(-1), ///< Number of bytes in the range size_t tex_offset = 0) ///< OffsetT (in items) from \p ptr denoting the position of the iterator { this->ptr = const_cast<typename RemoveQualifiers<QualifiedT>::Type *>(ptr); this->tex_offset = tex_offset; cudaChannelFormatDesc channel_desc = cudaCreateChannelDesc<TextureWord>(); cudaResourceDesc res_desc; cudaTextureDesc tex_desc; memset(&res_desc, 0, sizeof(cudaResourceDesc)); memset(&tex_desc, 0, sizeof(cudaTextureDesc)); res_desc.resType = cudaResourceTypeLinear; res_desc.res.linear.devPtr = this->ptr; res_desc.res.linear.desc = channel_desc; res_desc.res.linear.sizeInBytes = bytes; tex_desc.readMode = cudaReadModeElementType; return cudaCreateTextureObject(&tex_obj, &res_desc, &tex_desc, NULL); } /// Unbind this iterator from its texture reference cudaError_t UnbindTexture() { return cudaDestroyTextureObject(tex_obj); } /// Postfix increment __host__ __device__ __forceinline__ self_type operator++(int) { self_type retval = *this; tex_offset++; return retval; } /// Prefix increment __host__ __device__ __forceinline__ self_type operator++() { tex_offset++; return *this; } /// Indirection __host__ __device__ __forceinline__ reference operator*() const { #if (CUB_PTX_ARCH == 0) // Simply dereference the pointer on the host return ptr[tex_offset]; #else // Move array of uninitialized words, then alias and assign to return value TextureWord words[TEXTURE_MULTIPLE]; #pragma unroll for (int i = 0; i < TEXTURE_MULTIPLE; ++i) { words[i] = tex1Dfetch<TextureWord>( tex_obj, (tex_offset * TEXTURE_MULTIPLE) + i); } // Load from words return *reinterpret_cast<T*>(words); #endif } /// Addition template <typename Distance> __host__ __device__ __forceinline__ self_type operator+(Distance n) const { self_type retval; retval.ptr = ptr; retval.tex_obj = tex_obj; retval.tex_offset = tex_offset + n; return retval; } /// Addition assignment template <typename Distance> __host__ __device__ __forceinline__ self_type& operator+=(Distance n) { tex_offset += n; return *this; } /// Subtraction template <typename Distance> __host__ __device__ __forceinline__ self_type operator-(Distance n) const { self_type retval; retval.ptr = ptr; retval.tex_obj = tex_obj; retval.tex_offset = tex_offset - n; return retval; } /// Subtraction assignment template <typename Distance> __host__ __device__ __forceinline__ self_type& operator-=(Distance n) { tex_offset -= n; return *this; } /// Distance __host__ __device__ __forceinline__ difference_type operator-(self_type other) const { return tex_offset - other.tex_offset; } /// Array subscript template <typename Distance> __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 ((ptr == rhs.ptr) && (tex_offset == rhs.tex_offset) && (tex_obj == rhs.tex_obj)); } /// Not equal to __host__ __device__ __forceinline__ bool operator!=(const self_type& rhs) { return ((ptr != rhs.ptr) || (tex_offset != rhs.tex_offset) || (tex_obj != rhs.tex_obj)); } /// 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) |