Comments (3)
Duplicate of #105
from deepcell-tf.
One tricky aspect to this is the tensorflow
vs tensorflow-gpu
python dependency. If tensorflow
is installed via pip, it will cause the container to lose access to the GPU. however, if tensorflow-gpu
is installed on a machine without GPU support, we will get CUDA errors.
Somehow it would be great to use sed
to remove tensorflow
from the requirements.txt list, but leave it in there by default for users who want to pip install without docker.
from deepcell-tf.
Now that travis-ci is automatically building images and pushing them to dockerhub, it seems very possible to build a gpu/cpu version each time.
sed
still seems like a very good idea.
from deepcell-tf.
Related Issues (20)
- DEEPCELL_ACCESS_TOKEN HOT 6
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- Getting cell segmentation mask file from Mesmer standalone program HOT 1
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- Upgrade (or widen) supported `tensorflow` version HOT 6
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from deepcell-tf.