I have written a neural network in line with the tensorflow guide on distributed training: https://www.tensorflow.org/deploy/distributed
If the cluster I would like to run the training on uses torque for job scheduling and distributing, how does this fit in with tensorflow and how it distributes the training over the cluster?
Do I set the training on one node in torque and let tensorflow distribute it from there, or would that clash with the functioning of torque. Is torque even necessary at all if tensorflow can handle distributions? How do I avoid clashes between the two?
Thanks in advance.