Determine FSDP/deepspeed settings on device select. (axolotl-ai-cloud…

…#883)

* Determine FSDP/deepspeed settings on device select.

Without this, the OS env check for accelerate will fail.

* rename and move env setup call

* chore: lint

---------

Co-authored-by: Karl-Johan Alm <kalle@gmail.com>
Co-authored-by: Wing Lian <wing.lian@gmail.com>

src/axolotl/cli/__init__.py

@@ -29,6 +29,7 @@
 from axolotl.utils.distributed import is_main_process
 from axolotl.utils.models import load_tokenizer
 from axolotl.utils.tokenization import check_dataset_labels
+from axolotl.utils.trainer import prepare_optim_env
 from axolotl.utils.wandb_ import setup_wandb_env_vars
 
 project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
@@ -296,6 +297,8 @@ def load_cfg(config: Path = Path("examples/"), **kwargs):
 
     validate_config(cfg)
 
+    prepare_optim_env(cfg)
+
     normalize_config(cfg)
 
     setup_wandb_env_vars(cfg)

src/axolotl/utils/trainer.py

@@ -267,12 +267,14 @@ def setup_fsdp_envs(cfg):
         ] = cfg.fsdp_config.fsdp_transformer_layer_cls_to_wrap
 
 
-def setup_trainer(cfg, train_dataset, eval_dataset, model, tokenizer, total_num_steps):
+def prepare_optim_env(cfg):
     if cfg.fsdp:
         setup_fsdp_envs(cfg)
     elif cfg.deepspeed:
         os.environ["ACCELERATE_USE_DEEPSPEED"] = "true"
 
+
+def setup_trainer(cfg, train_dataset, eval_dataset, model, tokenizer, total_num_steps):
     trainer_builder = HFCausalTrainerBuilder(cfg, model, tokenizer)
     trainer_builder.train_dataset = train_dataset
     trainer_builder.eval_dataset = eval_dataset