rstudio/tensorflow

Best practices for using intel optimizations for tensorflow

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#453 建立於 2021年2月7日

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 (2 留言) (0 反應) (0 負責人)R (1,341 star) (318 fork)batch import
docshelp wanted

描述

It would be great if we could get some documentation for using the intel optimizations for tensorflow in R.

The first step in getting this working is to get reticulate to point to a conda environment that has the intel ai toolkit (and corresponding versions of tensorflow installed), but I believe that's not sufficient. How might we change, from R, the settings described (here, here, here, and here)?

貢獻者指南

技術棧
rtensorflowpython
領域
documentation
議題類型
documentation
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-3 hours
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
needs investigation
前置要求
R programmingTensorFlow basicsconda environmentsIntel AI toolkit
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
25
研究方向
First, review the linked Intel AI tutorials (e.g., IntelAI/models docs) to understand how to set environment variables and thread settings for TensorFlow on Intel CPUs. Then, investigate how reticulate can point to a conda environment with the Intel AI toolkit and test whether environment variables set in R (via Sys.setenv) affect TensorFlow behavior. Finally, document the steps for R users, including recommended conda environment setup and any performance hints.