2 files changed, 14 insertions, 44 deletions
diff --git a/libs/logging.py b/libs/logging.py
index 38e523d..3969ffa 100644
--- a/libs/logging.py
+++ b/libs/logging.py
@@ -30,50 +30,6 @@ class FileHandlerWithHeader(logging.FileHandler):
         logging.FileHandler.emit(self, record)
 
 
-def setup_logging(name="log",
-                  filename=None,
-                  stream_log_level="INFO",
-                  file_log_level="INFO"):
-    logger = logging.getLogger(name)
-    logger.setLevel("INFO")
-    formatter = logging.Formatter(
-        '%(asctime)s.%(msecs)03d,%(name)s,%(message)s', '%Y-%m-%d %H:%M:%S'
-    )
-    stream_handler = logging.StreamHandler()
-    stream_handler.setLevel(getattr(logging, stream_log_level))
-    stream_handler.setFormatter(formatter)
-    logger.addHandler(stream_handler)
-    if filename is not None:
-        header = 'time,logger,'
-        if name == CSV_BATCH_LOGGER:
-            header += 'batch,n_batches,global_batch,epoch,n_epochs,train_loss,lr'
-        elif name == CSV_EPOCH_LOGGER:
-            header += 'epoch,n_epochs,train_loss,test_loss,test_accuracy'
-        else:
-            raise NotImplementedError(f"Logger '{name}' is not implemented.")
-
-        os.makedirs(os.path.dirname(filename), exist_ok=True)
-        file_handler = FileHandlerWithHeader(filename, header)
-        file_handler.setLevel(getattr(logging, file_log_level))
-        file_handler.setFormatter(formatter)
-        logger.addHandler(file_handler)
-    return logger
-
-
-def training_log(name):
-    def log_this(function):
-        logger = logging.getLogger(name)
-
-        def wrapper(*args, **kwargs):
-            output = function(*args, **kwargs)
-            logger.info(','.join(map(str, output.values())))
-            return output
-
-        return wrapper
-
-    return log_this
-
-
 @dataclass
 class BaseBatchLogRecord:
     batch: int
diff --git a/libs/utils.py b/libs/utils.py
index 77e6cf1..bc45a12 100644
--- a/libs/utils.py
+++ b/libs/utils.py
@@ -39,6 +39,20 @@ class BaseConfig:
     optim_config: OptimConfig
     sched_config: SchedConfig
 
+    @staticmethod
+    def _config_from_args(args, dcls):
+        return dcls(**{f.name: getattr(args, f.name)
+                       for f in dataclasses.fields(dcls)})
+
+    @classmethod
+    def from_args(cls, args):
+        dataset_config = cls._config_from_args(args, cls.DatasetConfig)
+        dataloader_config = cls._config_from_args(args, cls.DataLoaderConfig)
+        optim_config = cls._config_from_args(args, cls.OptimConfig)
+        sched_config = cls._config_from_args(args, cls.SchedConfig)
+
+        return cls(dataset_config, dataloader_config, optim_config, sched_config)
+
 
 class Trainer(ABC):
     def __init__(