docs: fix typos in some files (#3119)

Fix typos in some files

Co-authored-by: khanhkhanhlele <[email protected]>

Author: Edge-Seven

src/anomalib/data/datamodules/base/image.py

@@ -216,7 +216,7 @@ def _update_subset_augmentations(
                 if model_resize.antialias != aug_resize.antialias:
                     msg = f"Conflicting antialiasing setting found between augmentations and model transforms. You are \
                         using a Resize transform in your input data augmentations. Please be aware that the model also \
-                        applies a Resize transform with a different antialising setting. Using conflicting \
+                        applies a Resize transform with a different antialiasing setting. Using conflicting \
                         antialiasing settings can lead to unexpected behaviour, so it is recommended to use the same \
                         antialiasing setting between augmentations and model transforms. Augmentations: \
                         antialias={aug_resize.antialias}, Model transforms: antialias={model_resize.antialias}"

src/anomalib/engine/accelerator/xpu.py

@@ -35,7 +35,7 @@ def parse_devices(devices: str | list | torch.device) -> list:
 
     @staticmethod
     def get_parallel_devices(devices: list) -> list[torch.device]:
-        """Generates a list of parrallel devices."""
+        """Generates a list of parallel devices."""
         return [torch.device("xpu", idx) for idx in devices]
 
     @staticmethod

src/anomalib/models/image/dsr/torch_model.py

@@ -770,7 +770,7 @@ def __init__(self, base_width: int, out_channels: int = 1) -> None:
         self.fin_out = nn.Sequential(nn.Conv2d(base_width, out_channels, kernel_size=3, padding=1))
 
     def forward(self, b1: torch.Tensor, b2: torch.Tensor, b3: torch.Tensor, b4: torch.Tensor) -> torch.Tensor:
-        """Decodes latent represnetations into an image.
+        """Decodes latent representations into an image.
 
         Args:
             b1 (torch.Tensor): First (top level) quantized feature map.