* 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
* Allow to deactivate GPU memory logging in Trainer
Adds the flag `log_gpu_memory` to Trainer to deactivate logging of GPU
memory utilization. On some servers logging the GPU memory usage can
significantly slow down training.
* Update Logging.md
* Update trainer.py