Google Cloud ML Tensorflow版本 [英] Google Cloud ML Tensorflow Version

问题描述

用于设置Google Cloud ML的文档建议安装Tensorflow版本r0.11.我观察到r0.12中新可用的TensorFlow函数在Cloud ML上运行时会引发异常. Cloud ML是否有支持r0.12的时间表?在r0.11和r0.12之间切换是可选的还是强制性的?

The docs for setting up Google Cloud ML suggest installing Tensorflow version r0.11. I've observed that TensorFlow functions newly available in r0.12 raise exceptions when run on Cloud ML. Is there a timeline for Cloud ML supporting r0.12? Will switching between r0.11 and r0.12 be optional or mandatory?

推荐答案

是的，您可以指定--runtime-version = 0.12以获得0.12版本.这是一项新功能，并记录在 https://cloud.google .com/ml/docs/concepts/runtime-version-list

Yes, you can specify --runtime-version=0.12 to get a 0.12 build. This is a new feature and is documented at https://cloud.google.com/ml/docs/concepts/runtime-version-list

但是，请注意，0.12版本尚未被认为是稳定的，提供的确切Tensorflow版本可能会发生变化.一旦Tensorflow的1.0版本可用，它也将受支持，而Tensorflow的1.0版之前的版本将不建议使用.

Note, however, that the 0.12 build is not yet considered stable and the exact Tensorflow build provided may change. Once the 1.0 version of Tensorflow is available, that will also be supported and the pre-1.0 versions of Tensorflow will begin to be deprecated.

(请参见 https://cloud.google .com/sdk/gcloud/reference/beta/ml/jobs/submit/training .)

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