--- tags: Concept, CCS, ZH title: CCS Image-TensorFlow | zh GA: UA-155999456-1 --- {%hackmd @docsharedstyle/default %} {%hackmd @docsharedstyle/twccheader-zh %} {%hackmd @docsharedstyle/ccs-image-icon-size %} # <img class="ccsimgicon" src="https://cos.twcc.ai/SYS-MANUAL/uploads/upload_f55059e9d0a6ac45c44bcc0ec1bebff5.png"> TensorFlow TWCC 提供 NGC optimized TensorFlow 共 20 種立即可用的工作環境。TensorFlow 是利用資料流程圖來表達抽象數值運算過程的開放式原始碼函式庫。流程圖中的節點 (nodes) 表示數學運算，而邊 (edges) 則表示聯繫節點的多維數據陣列，亦稱為張量 (tensors)。靈活的架構設計能輕鬆地在不同裝置上運算，例如 PC 一個或多個的 CPU/GPU、智慧行動裝置等等。 ## <i class="fa fa-sticky-note" aria-hidden="true"></i> <span class="ccsimglist">映像檔版本資訊</span>  <details> <summary>21.02 以前版本</summary>  </details> <br> :::info {%hackmd @docsharedstyle/note-zh %} 同版號但區分 `tf2`、`tf1` 者，為 TensorFlow 版本差異；區分 `py3` 與 `py2` 則為 Python 之版本差異。 ::: <details class="docspoiler"> <summary><b>點我參考詳細版本套件資訊</b></summary> - [tensorflow-24.11-tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel-24-11.html) - [tensorflow-24.08-tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel-24-07.html) - [tensorflow-24.05-tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel-24-05.html) - [tensorflow-24.02-tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel-24-02.html) - [tensorflow-23.11-tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel-23-11.html) - [tensorflow-23.08-tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel-23-08.html) - [tensorflow-23.05-tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel-23-05.html) - [tensorflow-23.02-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel-23-02.html#rel-23-02) - [tensorflow-22.08-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_22-08.html#rel_22-08) - [tensorflow-22.05-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_22-05.html#rel_22-05) - [tensorflow-22.02-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_22-02.html#rel_22-02) - [tensorflow-21.11-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_21-11.html#rel_21-11) - [tensorflow-21.08-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_21-08.html#rel_21-08) - [tensorflow-21.06-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_21-06.html#rel_21-06) - [tensorflow-21.02-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_21-02.html#rel_21-02) - [tensorflow-20.11-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_20-11.html#rel_20-11) - [tensorflow-20.08-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_20-08.html#rel_20-08) - [tensorflow-20.06-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_20-06.html#rel_20-06) - [tensorflow-20.02-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_20-02.html#rel_20-02) - [tensorflow-19.11-tf1/tf2-py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_19.11.html#rel_19.11) - [tensorflow-19.08-py2/py3](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_19.08.html#rel_19.08) - [tensorflow-19.02-py2/py3-v1](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_19.02.html#rel_19.02) - [tensorflow-18.12-py2/py3-v1](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_18.12.html#rel_18.12) - [tensorflow-18.10-py2/py3-v1](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_18.10.html#rel_18.10) - [tensorflow-18.08-py2/py3-v1](https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/rel_18.08.html#rel_18.08) </details>