When --data-parallel is passed and the model fits on a single GPU,
wraps it with nn.DataParallel to split prompt batches across all
available GPUs during activation collection. Batch size scales by
GPU count. Hooks already move activations to CPU so they work
correctly across replicas.
Adds --gpus flag to obliterate, run, and tourney commands for controlling
which GPUs to use (sets CUDA_VISIBLE_DEVICES). Works both locally and with
--remote. Models are automatically split across selected GPUs via
accelerate's device_map="auto". Also adds gpus field to remote YAML config.
Adds --remote [user@]host flag to obliterate, run, and tourney commands,
enabling execution on remote GPU nodes via SSH. Also supports a remote:
section in YAML configs. The remote runner handles SSH connectivity checks,
GPU detection, auto-installation of obliteratus, log streaming, and result
syncing back to the local machine via scp.
Stella Biderman