Comments (3)
This issue is really due to the fact that the docker base image expects to be installed on a GPU machine. If it is installed on a non-GPU enabled machine, it will fail as it is expecting certain resources on start-up.
I think this may best be resolved in combination with #107 by building several deepcell
images as they have with tensorflow.
Different build for deepcell-tf:tag
and deepcell-tf:tag-gpu
, allowing users to use whichever best suits their needs
from deepcell-tf.
This should be easily achievable by updating the base docker image.
However, the requirements.txt
specifically calls out tensorflow-gpu
. How can we make this requirements.txt
flexible?
from deepcell-tf.
Closing as duplicate of #107 which has more information and a more specific call-out.
from deepcell-tf.
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from deepcell-tf.