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The first is a modification to the training loop, and the second is an attempt to train a similar model based on synthetic data. I need help checking the training loop and improving efficiency for "CNNODESynth.py"

JWolff98 and others added 15 commits April 25, 2020 20:04
One is a modification to the training loop along with updated mean and std for normalization of the CIFAR-10 Dataset.
The other "CNNODESynth.py" is the CNNODE trained on synthetic data. I need help with both checking the training loop and making this more efficient.
This is the CNNODESynth that should be able to utilize cuda-enabled multiple gpus
This is the CNNODESynth that should be able to run on TACC
I added inline Documentation for CNNODESynth.py, and NODE_CIFAR10.py for the training and validation loops
Added inline documentation for two files
generator6803.pth
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