Removed temp model dir, reworked save-checkpoints

silnlp/common/environment.py

@@ -25,11 +25,11 @@
 
 class SilNlpEnv:
     def __init__(self):
+        atexit.register(self.delete_path)
         atexit.register(check_transfers)
         self.root_dir = Path.home() / ".silnlp"
         self.assets_dir = Path(__file__).parent.parent / "assets"
-        self.temp_model_dir: Optional[Path] = None
-
+        self.path_to_delete: Optional[Path] = None
         self.set_data_dir()
 
     def set_data_dir(self, data_dir: Optional[Path] = None):
@@ -109,15 +109,12 @@ def resolve_data_dir(self) -> Path:
 
         raise FileExistsError("No valid path exists")
 
-    def get_temp_model_dir(self) -> Path:
-        if not self.temp_model_dir:
-            self.temp_model_dir = Path(tempfile.mkdtemp(prefix="silnlp_model_"))
-            atexit.register(self.delete_temp_model_dir)
-        return self.temp_model_dir
+    def delete_path_on_exit(self, path: Union[str, Path]) -> None:
+        self.path_to_delete = pathify(path)
 
-    def delete_temp_model_dir(self) -> None:
-        if self.temp_model_dir and self.temp_model_dir.is_dir():
-            shutil.rmtree(self.temp_model_dir)
+    def delete_path(self) -> None:
+        if self.path_to_delete and self.path_to_delete.is_dir():
+            shutil.rmtree(self.path_to_delete)
 
 
 def check_transfers() -> None:

silnlp/nmt/clearml_connection.py

@@ -23,7 +23,6 @@ class SILClearML:
     experiment_suffix: str = ""
     clearml_project_folder: str = ""
     commit: Optional[str] = None
-    use_default_model_dir: bool = True
     tag: Optional[str] = None
     skip_config: bool = False
 
@@ -89,7 +88,6 @@ def __post_init__(self) -> None:
             if self.commit:
                 self.task.set_script(commit=self.commit)
             if self.queue_name.lower() not in ("local", "locally"):
-                SIL_NLP_ENV.delete_temp_model_dir()
                 self.task.execute_remotely(queue_name=self.queue_name)
         except LoginError as e:
             if self.queue_name is None:
@@ -131,7 +129,6 @@ def _load_config(self) -> None:
                 config = yaml.safe_load(file)
             if config is None or len(config.keys()) == 0:
                 raise RuntimeError("Config file has no contents.")
-            config["use_default_model_dir"] = self.use_default_model_dir
             self.config = create_config(exp_dir, config)
             return
         # There is a ClearML task - lets' do more complex importing.
@@ -158,5 +155,4 @@ def _load_config(self) -> None:
         exp_dir.mkdir(parents=True, exist_ok=True)
         with (exp_dir / "config.yml").open("w+", encoding="utf-8") as file:
             yaml.safe_dump(data=config, stream=file)
-        config["use_default_model_dir"] = self.use_default_model_dir
         self.config = create_config(exp_dir, config)

silnlp/nmt/config_utils.py

@@ -7,13 +7,12 @@
 from .hugging_face_config import HuggingFaceConfig
 
 
-def load_config(exp_name: str, use_default_model_dir: bool = True) -> Config:
+def load_config(exp_name: str) -> Config:
     exp_dir = get_mt_exp_dir(exp_name)
     config_path = exp_dir / "config.yml"
 
     with config_path.open("r", encoding="utf-8") as file:
         config: dict = yaml.safe_load(file)
-        config["use_default_model_dir"] = use_default_model_dir
     return create_config(exp_dir, config)
 
 

silnlp/nmt/experiment.py

@@ -23,7 +23,6 @@ class SILExperiment:
     mixed_precision: bool = True
     num_devices: int = 1
     clearml_queue: Optional[str] = None
-    save_checkpoints: bool = False
     run_prep: bool = False
     run_train: bool = False
     run_test: bool = False
@@ -40,7 +39,6 @@ def __post_init__(self):
             self.name,
             self.clearml_queue,
             commit=self.commit,
-            use_default_model_dir=self.save_checkpoints,
             tag=self.clearml_tag,
         )
         self.name: str = self.clearml.name
@@ -89,7 +87,6 @@ def test(self):
             scorers=self.scorers,
             produce_multiple_translations=self.produce_multiple_translations,
             save_confidences=self.save_confidences,
-            use_default_model_dir=self.save_checkpoints,
         )
 
     def translate(self):
@@ -104,7 +101,6 @@ def translate(self):
             translator = TranslationTask(
                 name=self.name,
                 checkpoint=checkpoint,
-                use_default_model_dir=self.save_checkpoints,
                 commit=self.commit,
             )
 
@@ -253,9 +249,6 @@ def main() -> None:
         args.train = True
         args.test = True
 
-    if not args.train:
-        args.save_checkpoints = True
-
     exp = SILExperiment(
         name=args.experiment,
         make_stats=args.stats,
@@ -265,7 +258,6 @@ def main() -> None:
         clearml_queue=args.clearml_queue,
         clearml_tag=args.clearml_tag,
         commit=args.commit,
-        save_checkpoints=args.save_checkpoints,
         run_prep=args.preprocess,
         run_train=args.train,
         run_test=args.test,
@@ -275,6 +267,9 @@ def main() -> None:
         scorers=set(s.lower() for s in args.scorers),
         score_by_book=args.score_by_book,
     )
+
+    if not args.save_checkpoints:
+        SIL_NLP_ENV.delete_path_on_exit(get_mt_exp_dir(args.experiment) / "run")
     exp.run()
 
 

silnlp/nmt/hugging_face_config.py

@@ -314,7 +314,6 @@ def get_parent_model_name(parent_exp: str) -> str:
 
 class HuggingFaceConfig(Config):
     def __init__(self, exp_dir: Path, config: dict) -> None:
-        ckpt_dir = str(exp_dir / "run") if config["use_default_model_dir"] else SIL_NLP_ENV.get_temp_model_dir()
         config = merge_dict(
             {
                 "data": {
@@ -340,7 +339,7 @@ def __init__(self, exp_dir: Path, config: dict) -> None:
                     "auto_grad_acc": False,
                     "max_steps": 5000,
                     "group_by_length": True,
-                    "output_dir": ckpt_dir,
+                    "output_dir": str(exp_dir / "run"),
                     "delete_checkpoint_optimizer_state": True,
                     "delete_checkpoint_tokenizer": True,
                     "log_level": "info",

silnlp/nmt/test.py

@@ -664,10 +664,9 @@ def test(
     by_book: bool = False,
     produce_multiple_translations: bool = False,
     save_confidences: bool = False,
-    use_default_model_dir: bool = True,
 ):
     exp_name = experiment
-    config = load_config(exp_name, use_default_model_dir)
+    config = load_config(exp_name)
 
     if not any(config.exp_dir.glob("test*.src.txt")):
         LOGGER.info("No test dataset.")
@@ -885,7 +884,6 @@ def main() -> None:
         by_book=args.by_book,
         produce_multiple_translations=args.multiple_translations,
         save_confidences=args.save_confidences,
-        use_default_model_dir=True,
     )
 
 

silnlp/nmt/translate.py

@@ -47,7 +47,6 @@ def __exit__(
 class TranslationTask:
     name: str
     checkpoint: Union[str, int] = "last"
-    use_default_model_dir: bool = True
     clearml_queue: Optional[str] = None
     commit: Optional[str] = None
     clearml_tag: Optional[str] = None
@@ -284,7 +283,6 @@ def _init_translation_task(self, experiment_suffix: str) -> Tuple[Translator, Co
             project_suffix="_infer",
             experiment_suffix=experiment_suffix,
             commit=self.commit,
-            use_default_model_dir=self.use_default_model_dir,
             tag=self.clearml_tag,
         )
         self.name = clearml.name