fix: bug fix for precision parameter for patchcore and anomalydino

Author: rajeshgangireddy

src/anomalib/models/image/anomaly_dino/lightning_model.py

@@ -90,9 +90,9 @@ class AnomalyDINO(MemoryBankMixin, AnomalibModule):
             to reduce the size of the memory bank. Defaults to ``False``.
         sampling_ratio (float, optional): If coreset subsampling, by what ratio
             should we subsample. Defaults to ``0.1``
-        precision (str, optional): Precision type for model computations.
-            Supported values are defined in :class:`PrecisionType`.
-            Defaults to ``PrecisionType.FLOAT32``.
+        precision (str | PrecisionType, optional): Precision type for model computations.
+            Can be either a string (``"float32"``, ``"float16"``) or a :class:`PrecisionType` enum value.
+            Defaults to ``"float32"``.
         pre_processor (PreProcessor | bool, optional): Pre-processor instance or
             bool flag to enable default preprocessing. Defaults to ``True``.
         post_processor (PostProcessor | bool, optional): Post-processor instance or
@@ -154,7 +154,7 @@ def __init__(
         masking: bool = False,
         coreset_subsampling: bool = False,
         sampling_ratio: float = 0.1,
-        precision: str = PrecisionType.FLOAT32,
+        precision: str | PrecisionType = PrecisionType.FLOAT32.value,
         pre_processor: nn.Module | bool = True,
         post_processor: nn.Module | bool = True,
         evaluator: Evaluator | bool = True,

src/anomalib/models/image/patchcore/lightning_model.py

@@ -93,9 +93,9 @@ class Patchcore(MemoryBankMixin, AnomalibModule):
             subsample embeddings. Defaults to ``0.1``.
         num_neighbors (int, optional): Number of nearest neighbors to use.
             Defaults to ``9``.
-        precision (str, optional): Precision type for model computations.
-            Supported values are defined in :class:`PrecisionType`.
-            Defaults to ``PrecisionType.FLOAT32``.
+        precision (str | PrecisionType, optional): Precision type for model computations.
+            Can be either a string (``"float32"``, ``"float16"``) or a :class:`PrecisionType` enum value.
+            Defaults to ``"float32"``.
         pre_processor (PreProcessor | bool, optional): Pre-processor instance or
             bool flag. Defaults to ``True``.
         post_processor (PostProcessor | bool, optional): Post-processor instance or
@@ -145,7 +145,7 @@ def __init__(
         pre_trained: bool = True,
         coreset_sampling_ratio: float = 0.1,
         num_neighbors: int = 9,
-        precision: str = PrecisionType.FLOAT32,
+        precision: str | PrecisionType = PrecisionType.FLOAT32.value,
         pre_processor: nn.Module | bool = True,
         post_processor: nn.Module | bool = True,
         evaluator: Evaluator | bool = True,