updated seed

src/single_file_mnist/README.md

-## MNIST    
-In this readme, give instructions on how to run your code.   
-
-#### CPU   
-```bash   
-python mnist_trainer.py     
-```
-
-#### Multiple-GPUs   
-```bash   
-python mnist_trainer.py --gpus 4
-```   
-
-or specific GPUs
-```bash   
-python mnist_trainer.py --gpus '0,3'
-```   
-
-#### On multiple nodes   
-```bash  
-python mnist_trainer.py --gpus 4 --nodes 4  --precision 16
-```   

src/single_file_mnist/simplest_mnist.py

-"""
-This file runs the main training/val loop, etc... using Lightning Trainer    
-"""
-from pytorch_lightning import Trainer, seed_everything
-from argparse import ArgumentParser
-from srv.mnist.mnist import CoolSystem
-
-# sets seeds for numpy, torch, etc...
-# must do for DDP to work well
-seed_everything(123)
-
-def main(args):
-    # init module
-    model = CoolSystem(hparams=args)
-
-    # most basic trainer, uses good defaults
-    trainer = Trainer.from_argparse_args(args)
-    trainer.fit(model)
-
-
-if __name__ == '__main__':
-    parser = ArgumentParser(add_help=False)
-
-    # add args from trainer
-    parser = Trainer.add_argparse_args(parser)
-
-    # give the module a chance to add own params
-    # good practice to define LightningModule speficic params in the module
-    parser = CoolSystem.add_model_specific_args(parser)
-
-    # parse params
-    args = parser.parse_args()
-
-    main(args)