removed overly verbose logging

simplymathematics · Jul 31, 2024 · 59b777f · 59b777f
1 parent 2796641
commit 59b777f
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Showing 5 changed files with 0 additions and 21 deletions.
diff --git a/deckard/base/attack/attack.py b/deckard/base/attack/attack.py
@@ -134,7 +134,6 @@ def __init__(
         self.attack_size = attack_size
         self.init = AttackInitializer(model, name, **init)
         self.kwargs = kwargs
-        logger.info("Instantiating Attack with id: {}".format(self.__hash__()))
 
     def __hash__(self):
         return int(my_hash(self), 16)
@@ -300,7 +299,6 @@ def __init__(
         self.attack_size = attack_size
         self.init = AttackInitializer(model, name, **init)
         self.kwargs = kwargs
-        logger.info("Instantiating Attack with id: {}".format(self.__hash__()))
 
     def __hash__(self):
         return int(my_hash(self), 16)
@@ -493,7 +491,6 @@ def __init__(
         self.attack_size = attack_size
         self.init = AttackInitializer(model, name, **init)
         self.kwargs = kwargs
-        logger.info("Instantiating Attack with id: {}".format(self.__hash__()))
 
     def __hash__(self):
         return int(my_hash(self), 16)
@@ -618,7 +615,6 @@ def __init__(
                 f"kwargs must be of type DictConfig or dict. Got {type(kwargs)}",
             )
         self.kwargs = kwargs
-        logger.info("Instantiating Attack with id: {}".format(self.__hash__()))
 
     def __hash__(self):
         return int(my_hash(self), 16)
@@ -813,7 +809,6 @@ def __init__(
             kwargs.update(**kwargs.pop("kwargs"))
         self.kwargs = kwargs
         self.name = name if name is not None else my_hash(self)
-        logger.info("Instantiating Attack with id: {}".format(self.name))
 
     def __call__(
         self,

diff --git a/deckard/base/data/data.py b/deckard/base/data/data.py
@@ -148,7 +148,6 @@ def save(self, data, filename):
         :param filename: str
         """
         if filename is not None:
-            logger.info(f"Saving data to {filename}")
             suffix = Path(filename).suffix
             Path(filename).parent.mkdir(parents=True, exist_ok=True)
             if isinstance(data, dict):

diff --git a/deckard/base/data/generator.py b/deckard/base/data/generator.py
@@ -51,9 +51,6 @@ class SklearnDataGenerator:
     kwargs: dict = field(default_factory=dict)
 
     def __init__(self, name, **kwargs):
-        logger.info(
-            f"Instantiating {self.__class__.__name__} with name={name} and kwargs={kwargs}",
-        )
         self.name = name
         self.kwargs = {k: v for k, v in kwargs.items() if v is not None}
 
@@ -91,9 +88,6 @@ class TorchDataGenerator:
     kwargs: dict = field(default_factory=dict)
 
     def __init__(self, name, path=None, **kwargs):
-        logger.info(
-            f"Instantiating {self.__class__.__name__} with name={name} and kwargs={kwargs}",
-        )
         self.name = name
         self.path = path
         self.kwargs = {k: v for k, v in kwargs.items() if v is not None}
@@ -179,9 +173,6 @@ class KerasDataGenerator:
     kwargs: dict = field(default_factory=dict)
 
     def __init__(self, name, **kwargs):
-        logger.info(
-            f"Instantiating {self.__class__.__name__} with name={name} and kwargs={kwargs}",
-        )
         self.name = name
         self.kwargs = {k: v for k, v in kwargs.items() if v is not None}
 

diff --git a/deckard/base/model/model.py b/deckard/base/model/model.py
@@ -70,7 +70,6 @@ def __init__(self, **kwargs):
         self.kwargs = kwargs
 
     def __call__(self, data: list, model: object, library=None):
-        logger.info(f"Training model {model} with fit params: {self.kwargs}")
         device = str(model.device) if hasattr(model, "device") else "cpu"
         trainer = self.kwargs
         if library in sklearn_dict.keys():
@@ -91,7 +90,6 @@ def __call__(self, data: list, model: object, library=None):
         try:
             start = process_time_ns()
             start_timestamp = time()
-            logger.info(f"Fitting type(model): {type(model)} with kwargs {trainer}")
             model.fit(data[0], data[2], **trainer)
             end = process_time_ns()
             end_timestamp = time()

diff --git a/deckard/base/model/sklearn_pipeline.py b/deckard/base/model/sklearn_pipeline.py
@@ -57,9 +57,6 @@ class SklearnModelPipelineStage:
     kwargs: dict = field(default_factory=dict)
 
     def __init__(self, name, stage_name, **kwargs):
-        logger.debug(
-            f"Instantiating {self.__class__.__name__} with name={name} and kwargs={kwargs}",
-        )
         self.name = name
         self.kwargs = kwargs
         self.stage_name = stage_name
@@ -102,7 +99,6 @@ class SklearnModelPipeline:
     pipeline: Dict[str, SklearnModelPipelineStage] = field(default_factory=dict)
 
     def __init__(self, **kwargs):
-        logger.debug(f"Instantiating {self.__class__.__name__} with kwargs={kwargs}")
         pipe = {}
         while "kwargs" in kwargs:
             pipe.update(**kwargs.pop("kwargs"))