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/* 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_PERMUTATION_INPUT_ITERATOR_H_
#define TENSORFLOW_UTIL_PERMUTATION_INPUT_ITERATOR_H_
#include <iostream>
#include <iterator>
namespace tensorflow {
template <typename ValueType, typename InputIteratorT, typename IndexIteratorT,
typename OffsetT = ptrdiff_t>
class PermutationInputIterator {
public:
// Required iterator traits
typedef PermutationInputIterator 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
typedef std::random_access_iterator_tag
iterator_category; ///< The iterator category
private:
InputIteratorT input_itr;
IndexIteratorT index_itr;
public:
/// Constructor
__host__ __device__ __forceinline__ PermutationInputIterator(
InputIteratorT input_itr, ///< Input iterator to wrap
IndexIteratorT index_itr) ///< Conversion functor to wrap
: input_itr(input_itr), index_itr(index_itr) {}
/// Postfix increment
__host__ __device__ __forceinline__ self_type operator++(int) {
self_type retval = *this;
index_itr++;
return retval;
}
/// Prefix increment
__host__ __device__ __forceinline__ self_type operator++() {
index_itr++;
return *this;
}
/// Indirection
__host__ __device__ __forceinline__ reference operator*() const {
return input_itr[*index_itr];
}
/// Addition
template <typename Distance>
__host__ __device__ __forceinline__ self_type operator+(Distance n) const {
self_type retval(input_itr, index_itr + n);
return retval;
}
/// Addition assignment
template <typename Distance>
__host__ __device__ __forceinline__ self_type& operator+=(Distance n) {
index_itr += n;
return *this;
}
/// Subtraction
template <typename Distance>
__host__ __device__ __forceinline__ self_type operator-(Distance n) const {
self_type retval(input_itr, index_itr - n);
return retval;
}
/// Subtraction assignment
template <typename Distance>
__host__ __device__ __forceinline__ self_type& operator-=(Distance n) {
index_itr -= n;
return *this;
}
/// Distance
__host__ __device__ __forceinline__ difference_type
operator-(self_type other) const {
return index_itr - other.index_itr;
}
/// Array subscript
template <typename Distance>
__host__ __device__ __forceinline__ reference operator[](Distance n) const {
return input_itr[index_itr[n]];
}
/// Structure dereference
__host__ __device__ __forceinline__ pointer operator->() {
return input_itr + *index_itr;
}
/// Equal to
__host__ __device__ __forceinline__ bool operator==(const self_type& rhs) {
return (index_itr == rhs.index_itr && input_itr == rhs.input_itr);
}
/// Not equal to
__host__ __device__ __forceinline__ bool operator!=(const self_type& rhs) {
return !(*this == rhs);
}
/// ostream operator
friend std::ostream& operator<<(std::ostream& os, const self_type& itr) {
return os;
}
};
} // end namespace tensorflow
#endif // TENSORFLOW_UTIL_PERMUTATION_INPUT_ITERATOR_H_
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