fix(offline_pipeline): force drop_last only for distributed
#475
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This PR keeps
drop_lastpolicy for dataloaders only for multiprocess training to avoid duplication, but keeps last batches for single processes to avoid losing data. It also skips warning messages thatMiniBatchIteratorcould throw even though minibatching is not actived, for example when runningpython examples/randomwalks/ppo_randomwalks.pyon the currentmainFix of #473