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社区首页 >问答首页 >如何在Google深度学习VM上安装tensorflow转换?

如何在Google深度学习VM上安装tensorflow转换?
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Stack Overflow用户
提问于 2019-11-19 16:01:37
回答 1查看 417关注 0票数 1

在笔记本上,当我跑

!pip3 install tensorflow-transform==0.15.0

我收到一个错误:

代码语言:javascript
复制
Collecting tensorflow-transform==0.15.0
  Using cached https://files.pythonhosted.org/packages/34/88/9ee55045a1ffbf44fb75b10a30c54609f58987987f69ace9b971938e750d/tensorflow-transform-0.15.0.tar.gz
Requirement already satisfied: absl-py<0.9,>=0.7 in /usr/local/lib/python3.5/dist-packages (from tensorflow-transform==0.15.0)
Requirement already satisfied: apache-beam[gcp]<3,>=2.16 in ./.local/lib/python3.5/site-packages (from tensorflow-transform==0.15.0)
Requirement already satisfied: numpy<2,>=1.16 in /usr/local/lib/python3.5/dist-packages (from tensorflow-transform==0.15.0)
Requirement already satisfied: protobuf<4,>=3.7 in /usr/local/lib/python3.5/dist-packages (from tensorflow-transform==0.15.0)
Requirement already satisfied: pydot<2,>=1.2 in /usr/local/lib/python3.5/dist-packages (from tensorflow-transform==0.15.0)
Requirement already satisfied: six<2,>=1.10 in /usr/local/lib/python3.5/dist-packages (from tensorflow-transform==0.15.0)
Collecting tensorflow-metadata<0.16,>=0.15 (from tensorflow-transform==0.15.0)
  Using cached https://files.pythonhosted.org/packages/bd/00/f353385e40f7962b63b94d17f7050b5853bc20c243483cff0cb3da03d206/tensorflow_metadata-0.15.1-py2.py3-none-any.whl
Requirement already satisfied: tensorflow<2.2,>=1.15 in /usr/local/lib/python3.5/dist-packages (from tensorflow-transform==0.15.0)
Collecting tfx-bsl<0.16,>=0.15 (from tensorflow-transform==0.15.0)
  Could not find a version that satisfies the requirement tfx-bsl<0.16,>=0.15 (from tensorflow-transform==0.15.0) (from versions: )
No matching distribution found for tfx-bsl<0.16,>=0.15 (from tensorflow-transform==0.15.0)

这是在笔记本实例中运行时的错误。

注:我正在使用

代码语言:javascript
复制
tensorflow==2.0.0
tensorflow-estimator==2.0.0
tensorflow-hub==0.6.0
tensorflow-probability==0.7.0
tensorflow-serving-api==1.14.0
apache-beam==2.16.0
EN

回答 1

Stack Overflow用户

回答已采纳

发布于 2019-11-19 18:54:46

这种情况可能发生在较早的pip版本中,这些版本显然不承认tfx-bsl轮毂兼容。

我也有同样的问题,只是更新了pip就解决了

代码语言:javascript
复制
sudo pip3 install --upgrade pip

(当然,最好是在笔记本本身的源映像中有一个稍后的pip。)

票数 1
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页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/58938208

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