warneracw21
/ gan_regression_train.py
Created
August 24, 2018 18:31
Alternating Training Schedule for an RNN regression and convolutional LSGAN model
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| """ Methods for Training on a distributed Network """ | |
| """ | |
| The session is set up to be run in a distributed local environment. | |
| The workers should be assigned to GPUs because they do most of the | |
| heavy lifting in the compuation. Assign a different domain:port double | |
| for each GPU available on the local host. | |
| The parameter servers should simply be assigned to CPUs. See the |