* Create underlying loggers lazily
This avoids creating duplicate experiments or run in multi-node DDP.
* Save hyperparameters automatically
* Update docs for snapshotting hyperparams
* Fix test tube
* Fix test tube pickling
* always calls the lr scheduler with epoch nb
* added docs for cluster grid search
* added docs for cluster grid search
* undo test changes
* undo test changes
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added load on CPU first
* added print logs
* added print logs
* changed close order
* changed close order
* Fix incorrect warning for DistributedSampler.
Check whether `dataloader.sampler` is an instance of DistributedSampler instead of checking the `dataloader`.
* Update trainer.py
* merged
* enable single gpu per node
* enable single gpu per node
* enable single gpu per node
* enable single gpu per node
* enable single gpu per node
* enable single gpu per node
* added nvidia flag set
* added nvidia flag set
* added nvidia flag set
* added nvidia flag set
* added nvidia flag set
* added nvidia flag set
* added nvidia flag set
* added nvidia flag set
* added simple cluster template
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs
* sets correct backend for possible combinations of gpu inputs