Basic evaluate CLI command / codepath (#2188)

* basic evaluate CLI command / codepath

* tests for evaluate CLI command

* fixes and cleanup

* review comments; slightly DRYing up things

---------

Co-authored-by: Dan Saunders <danjsaund@gmail.com>

outputs

@@ -0,0 +1 @@
+/workspace/data/axolotl-artifacts

src/axolotl/train.py

@@ -27,7 +27,7 @@ from axolotl.logging_config import configure_logging
 from axolotl.utils.dict import DictDefault
 from axolotl.utils.freeze import freeze_layers_except
 from axolotl.utils.models import load_model, load_processor, load_tokenizer
-from axolotl.utils.trainer import setup_trainer
+from axolotl.utils.trainer import set_pytorch_cuda_alloc_conf, setup_trainer
 
 try:
     from optimum.bettertransformer import BetterTransformer

src/axolotl/utils/trainer.py

@@ -512,6 +512,17 @@ def prepare_opinionated_env(cfg):
         os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
 
+def set_pytorch_cuda_alloc_conf():
+    """Set up CUDA allocation config if using PyTorch >= 2.2"""
+    torch_version = torch.__version__.split(".")
+    torch_major, torch_minor = int(torch_version[0]), int(torch_version[1])
+    if torch_major == 2 and torch_minor >= 2:
+        if os.getenv("PYTORCH_CUDA_ALLOC_CONF") is None:
+            os.environ[
+                "PYTORCH_CUDA_ALLOC_CONF"
+            ] = "expandable_segments:True,roundup_power2_divisions:16"
+
+
 def setup_trainer(
     cfg, train_dataset, eval_dataset, model, tokenizer, processor, total_num_steps
 ):