Making train_parallel.py work on a single machine (non-distributed) #29
+36
−17
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Small tweaks to train_parallel.py (and related changes to distributed.py and generate_batch.py) so that it works on a single machine. Mainly, it now only uses the nn.parallel.DistributedDataParallel model container if in a distributed environment.