rstudio/tensorflow

Best practices for using intel optimizations for tensorflow

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#453 创建于 2021年2月7日

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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)?

贡献者指南

技术栈
rtensorflowpython
领域
documentation
议题类型
documentation
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
needs investigation
前置要求
R programmingTensorFlow basicsconda environmentsIntel AI toolkit
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
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.
Best practices for using intel optimizations for tensorflow · rstudio/tensorflow#453 | Good First Issue