How to setup TensorFlow on QNAP NAS TS-2888X

How to use TensorFlow  on QNAP NAS (with Container Station)


What is TensorFlow

  • TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
QNAP TS2888X 
https://www.qnap.com/en/product/ts-2888x

Installation Instructions

  1. Open Container station and click on "Create Container".
  2. Search for keyword "TensorFlow". You can find the TensorFlow containers under the "AI" tab. Find "TensorFlow-GPU" and click "Install".
  3. Enter a name for the container.
  4. Click "Advanced Settings" and go to "Device".  Enable "Use GPU resource to run container".
  5. If needed, you can mount a specified NAS folder to this container in "Shared Folder". In the below screenshot, the folder "Public" is being mounted to the container.
  6. Click "Create". The container will be created and listed in the Overview page.
  7. You can now access the container using the terminal or SSH.
8.  open Jupyter Notebook

a. click URL 


b. Jupyter Notebook login need token  c. go to Terminal enter  /bin/sh  to connect into the Container 


enter: 
jupyter notebook list


it will show the token

http://localhost:8888/?token=048c7741d736c2741eb375ee189a20fbe09d364870a6001d :: /notebooks                                                                                     

then you can copy 048c7741d736c2741eb375ee189a20fbe09d364870a6001d to the jupyter notbook init page


and now you have the access to the jupyter notebook:


Suggested Reading

More information and resources for the TensorFlow can be found at:
  1. Officialwebsite
  2. Tutorials
  3. GitHub
  4. TensorFlow Model Zoo
Reference:

留言

Google Search

推薦內容橫式

本月熱門文章

[FAANG面試] Amazon/AWS 領導力準則 14 Amazon Leadership Principles

日本旅行 去東京可以在哪邊買羽球相關用品? WEMBLEY/WINDSOR/梭家/Victoria/Alpen TOKYO

PM到底在做什麼 ? Project Manager, Product Manager 以及 Program Manager的差別

蔣經國時代 1979年 美麗島事件 回顧

快速上手的ComfyUI與Stable Diffusion生成圖片的cheat sheet

柯文哲弊案:關於橘子

ComfyUI搭配各個Stable Diffusion模型版本的介紹、檔案名稱及相應的目錄結構。

許多深藍人士懷念的兩蔣時代

川普第二次擔任美國總統

Netflix 勁爆女子監獄 Orange is the New Black /OINTB 成立了 Poussey Washington Fund 這個基金將會幫助更生人及移民人權問題 !!

這個網誌中的熱門文章

Android應用開發豆知識:利用 adb 安裝 apk 到裝置上

Android 中文輸入法 官方版 ! Gboard - Google 鍵盤 開始支援注音輸入啦

Google Play 推薦Android app 誠徵App排行榜

北京故宮首訪,一窺清宮秘史 大玉兒 & 甄嬛

[家教][社會觀察] 建中教我的事 沒上建中被父母親折磨? 在建中到底是如何 ...

[FAANG面試] Amazon/AWS 領導力準則 14 Amazon Leadership Principles

Acer ICONIA Smart S300 更新後越來越好 Acer也有出手機?!

[品質控制] 什麼是Sanity test ? 軟體測試常見名詞整理 包含不同部門的測試人員負責範圍

新鮮人找工作:職場名詞解釋 AE FAE Pre-sales Post-sales