resolve more formatting naming

Author: justincdavis

torchvision/transforms/v2/functional/__init__.py

@@ -1,6 +1,6 @@
 from torchvision.transforms import InterpolationMode  # usort: skip
 
-from ._utils import is_pure_tensor, register_kernel, is_cvcuda_tensor  # usort: skip
+from ._utils import is_pure_tensor, register_kernel  # usort: skip
 
 from ._meta import (
     clamp_bounding_boxes,

torchvision/transforms/v2/functional/_meta.py

@@ -51,14 +51,14 @@ def get_dimensions_video(video: torch.Tensor) -> list[int]:
     return get_dimensions_image(video)
 
 
-def _get_dimensions_cvcuda(image: "cvcuda.Tensor") -> list[int]:
+def get_dimensions_image_cvcuda(image: "cvcuda.Tensor") -> list[int]:
     # CV-CUDA tensor is always in NHWC layout
     # get_dimensions is CHW
     return [image.shape[3], image.shape[1], image.shape[2]]
 
 
 if CVCUDA_AVAILABLE:
-    _register_kernel_internal(get_dimensions, cvcuda.Tensor)(_get_dimensions_cvcuda)
+    _register_kernel_internal(get_dimensions, cvcuda.Tensor)(get_dimensions_image_cvcuda)
 
 
 def get_num_channels(inpt: torch.Tensor) -> int:
@@ -97,14 +97,14 @@ def get_num_channels_video(video: torch.Tensor) -> int:
 get_image_num_channels = get_num_channels
 
 
-def _get_num_channels_cvcuda(image: "cvcuda.Tensor") -> int:
+def get_num_channels_image_cvcuda(image: "cvcuda.Tensor") -> int:
     # CV-CUDA tensor is always in NHWC layout
     # get_num_channels is C
     return image.shape[3]
 
 
 if CVCUDA_AVAILABLE:
-    _register_kernel_internal(get_num_channels, cvcuda.Tensor)(_get_num_channels_cvcuda)
+    _register_kernel_internal(get_num_channels, cvcuda.Tensor)(get_num_channels_image_cvcuda)
 
 
 def get_size(inpt: torch.Tensor) -> list[int]: