How come if I so much as look away from TensorFlow in Python for a month it just stops working. Jeez. Code that worked in the summer now doesn't on a machine in which I haven't touched anything pretty much. 
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Well, Tensor is distributed also as a Docker image https://hub.docker.com/r/tensorflow/tensorflow/ …
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I am aware there are many containers out there, but I do not know how to get my files into them or somehow allow the container to run my code. That's been my stumbling block for a while. I solved my problem like half an hour ago though so for now I'm happy, but regardless I would
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really appreciate a good tutorial for developing using containers.
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I have tutorials here: https://github.com/ngs-docs?utf8=%E2%9C%93&q=docker&type=&language= …
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Oh wow thank you — which one shall I start with?
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no immediate answer - have to look at them again - the DSI one should be up to date and short.
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Thanks will try to get back to this when I'm done with this project as TF is working now.

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no worries / no hurry
End of conversation
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