monolish_view1D.hpp

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#pragma once
#include "./monolish_logger.hpp"
#include <cassert>
#include <exception>
#include <fstream>
#include <iostream>
#include <iterator>
#include <memory>
#include <omp.h>
#include <stdexcept>
#include <string>
#include <vector>
 
#if USE_SXAT
#undef _HAS_CPP17
#endif
#include <random>
#if USE_SXAT
#define _HAS_CPP17 1
#endif
 
#if defined USE_MPI
#include <mpi.h>
#endif
 
namespace monolish {
template <typename Float> class vector;
 
namespace matrix {
template <typename Float> class Dense;
template <typename Float> class CRS;
template <typename Float> class LinearOperator;
} // namespace matrix
 
template <typename TYPE, typename Float> class view1D {
private:
  TYPE &target;
  Float *target_data;
  size_t first;
  size_t last;
  size_t range;
 
public:
  view1D(vector<Float> &x, const size_t start, const size_t end) : target(x) {
    first = start;
    last = end;
    range = last - first;
    target_data = x.data();
  }
 
  view1D(matrix::Dense<Float> &A, const size_t start, const size_t end)
      : target(A) {
    first = start;
    last = end;
    range = last - first;
    target_data = A.data();
  }
 
  view1D(tensor::tensor_Dense<Float> &A, const size_t start, const size_t end)
      : target(A) {
    first = start;
    last = end;
    range = last - first;
    target_data = A.data();
  }
 
  view1D(view1D<vector<Float>, Float> &x, const size_t start, const size_t end)
      : target(x) {
    first = x.get_first() + start;
    last = x.get_last() + end;
    range = last - first;
    target_data = x.data();
  }
 
  view1D(view1D<matrix::Dense<Float>, Float> &x, const size_t start,
         const size_t end)
      : target(x) {
    first = x.get_first() + start;
    last = x.get_last() + end;
    range = last - first;
    target_data = x.data();
  }
 
  view1D(view1D<tensor::tensor_Dense<Float>, Float> &x, const size_t start,
         const size_t end)
      : target(x) {
    first = x.get_first() + start;
    last = x.get_last() + end;
    range = last - first;
    target_data = x.data();
  }
 
  [[nodiscard]] size_t size() const { return range; }
 
  [[nodiscard]] size_t get_nnz() const { return range; }
 
  [[nodiscard]] size_t get_first() const { return first; }
 
  [[nodiscard]] size_t get_last() const { return last; }
 
  [[nodiscard]] size_t get_offset() const { return first; }
 
  void set_first(size_t i) { first = i; }
 
  void set_last(size_t i) {
    assert(first + i <= target.get_nnz());
    last = i;
  }
 
  [[nodiscard]] size_t get_device_mem_stat() const {
    return target.get_device_mem_stat();
  }
 
  [[nodiscard]] Float *data() const { return target_data; }
 
  [[nodiscard]] Float *data() { return target_data; }
 
  [[nodiscard]] Float *begin() const { return target_data + get_offset(); }
 
  [[nodiscard]] Float *begin() { return target_data + get_offset(); }
 
  [[nodiscard]] Float *end() const { return target_data + range; }
 
  [[nodiscard]] Float *end() { return target_data + range; }
 
  void print_all(bool force_cpu = false) const;
 
  void resize(size_t N) {
    assert(first + N <= target.get_nnz());
    last = first + N;
  }
 
  [[nodiscard]] Float &operator[](const size_t i) {
    if (target.get_device_mem_stat()) {
      throw std::runtime_error("Error, GPU vector cant use operator[]");
    }
    return target_data[i + first];
  }
 
  void fill(Float value);
};
} // namespace monolish