Map dgCmatrix as integer sparse matrix

未关闭
#132 6 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看

还没有人认领这个 Issue。

评估

难度
5/5
预计耗时
一周以上
新手友好度
25/100
Issue 类型
功能
描述清晰度
需要澄清
活跃度
停滞
技术栈
r
领域
data

调研方向

Start with the RcppEigen sparse-matrix mapping entry points used by Eigen::Map and the dgCmatrix/ngCmatrix types described in the issue. Determine whether integer mapping avoids deep copies and define what support for ngCmatrix would require; done should include verified behavior and coverage for the requested mapping.

由索引模型根据 Issue 内容生成。

描述

Dear developers,

I have a dgCmatrix in R and want to call a function as below in cpp to deal with it.

Eigen::SparseMatrix calc_overlap(Eigen::Map<Eigen::SparseMatrix<int>>& cc_adj,
Eigen::Map<Eigen::SparseMatrix<int>>& cg_adj,
double threshold) {
Eigen::SparseMatrix<int> overlap_mat_all = cc_adj * cg_adj;
return overlap_mat_all;
}

The dgCmatrix 'cc_adj' and 'cg_adj' in R are large sparse matrices with integer values. I want to calculate the product of them by cpp. I used 'Map' to get rid of deep copies of these two large matrices. The scalar <int> is used to save memory. There is no error raised up when mapping to a dgCmatrix with <int>. but I'm not sure how it's working exactly. I guess the function makes deep copies instead, so the mapping doesn't work at all. Is it right?

My concern is that since you only allow mapping to dgCmatrix format sparse matrix for now, is there any possibility that you could wrap up a function to deal with 'ngCmatrix'?

Looking forward to your kind reply.

主要语言
C++
星标
118
派生
43
30 天内没有已合并 PR

贡献指南

这个仓库没有索引到贡献指南

从这里开始

  1. 先读完整个 Issue，再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库，在一个分支上完成修改。
  4. 提交 Pull Request，并在描述里引用这个 Issue 编号。

RcppCore/RcppEigen 的其他 Issue

查看 RcppCore/RcppEigen 的全部 Issue

相似的 Issue

更多 C++ Issue

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。