/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_UTIL_TRANSFORM_OUTPUT_ITERATOR_H_ #define TENSORFLOW_UTIL_TRANSFORM_OUTPUT_ITERATOR_H_ #include #include namespace tensorflow { template class TransformOutputIterator { protected: // Proxy object struct Reference { StoreType* ptr; ConversionOp conversion_op; /// Constructor __host__ __device__ __forceinline__ Reference(StoreType* ptr, ConversionOp conversion_op) : ptr(ptr), conversion_op(conversion_op) {} /// Assignment __host__ __device__ __forceinline__ InputType operator=(InputType val) { *ptr = conversion_op(val); return val; } }; public: // Required iterator traits typedef TransformOutputIterator self_type; ///< My own type typedef OffsetT difference_type; ///< Type to express the result of ///< subtracting one iterator from another typedef void value_type; ///< The type of the element the iterator can point to typedef void pointer; ///< The type of a pointer to an element the iterator ///< can point to typedef Reference reference; ///< The type of a reference to an element the ///< iterator can point to typedef std::random_access_iterator_tag iterator_category; ///< The iterator category /*private:*/ StoreType* ptr; ConversionOp conversion_op; public: /// Constructor template __host__ __device__ __forceinline__ TransformOutputIterator( QualifiedStoreType* ptr, ConversionOp conversionOp) ///< Native pointer to wrap : ptr(ptr), conversion_op(conversionOp) {} /// Postfix increment __host__ __device__ __forceinline__ self_type operator++(int) { self_type retval = *this; ptr++; return retval; } /// Prefix increment __host__ __device__ __forceinline__ self_type operator++() { ptr++; return *this; } /// Indirection __host__ __device__ __forceinline__ reference operator*() const { return Reference(ptr, conversion_op); } /// Addition template __host__ __device__ __forceinline__ self_type operator+(Distance n) const { self_type retval(ptr + n, conversion_op); return retval; } /// Addition assignment template __host__ __device__ __forceinline__ self_type& operator+=(Distance n) { ptr += n; return *this; } /// Subtraction template __host__ __device__ __forceinline__ self_type operator-(Distance n) const { self_type retval(ptr - n, conversion_op); return retval; } /// Subtraction assignment template __host__ __device__ __forceinline__ self_type& operator-=(Distance n) { ptr -= n; return *this; } /// Distance __host__ __device__ __forceinline__ difference_type operator-(self_type other) const { return ptr - other.ptr; } /// Array subscript template __host__ __device__ __forceinline__ reference operator[](Distance n) const { return Reference(ptr + n, conversion_op); } /// Equal to __host__ __device__ __forceinline__ bool operator==(const self_type& rhs) { return (ptr == rhs.ptr); } /// Not equal to __host__ __device__ __forceinline__ bool operator!=(const self_type& rhs) { return (ptr != rhs.ptr); } /// ostream operator friend std::ostream& operator<<(std::ostream& os, const self_type& itr) { return os; } }; } // end namespace tensorflow #endif // TENSORFLOW_UTIL_TRANSFORM_OUTPUT_ITERATOR_H_