Rename _meta_conversion to _meta

Author: datumbox

torchvision/prototype/transforms/__init__.py

@@ -8,7 +8,7 @@
 from ._auto_augment import RandAugment, TrivialAugmentWide, AutoAugment
 from ._container import Compose, RandomApply, RandomChoice, RandomOrder
 from ._geometry import HorizontalFlip, Resize, CenterCrop, RandomResizedCrop
-from ._meta_conversion import ConvertBoundingBoxFormat, ConvertImageDtype, ConvertImageColorSpace
+from ._meta import ConvertBoundingBoxFormat, ConvertImageDtype, ConvertImageColorSpace
 from ._misc import Identity, Normalize, ToDtype, Lambda
 from ._presets import CocoEval, ImageNetEval, VocEval, Kinect400Eval, RaftEval
 from ._type_conversion import DecodeImage, LabelToOneHot

torchvision/prototype/transforms/_meta_conversion.py renamed to torchvision/prototype/transforms/_meta.py

@@ -1,5 +1,5 @@
 from torchvision.transforms import InterpolationMode  # usort: skip
-from ._meta_conversion import (
+from ._meta import (
     convert_bounding_box_format,
     convert_image_color_space_tensor,
     convert_image_color_space_pil,

torchvision/prototype/transforms/functional/__init__.py

@@ -8,7 +8,7 @@
 from torchvision.transforms import functional_tensor as _FT, functional_pil as _FP
 from torchvision.transforms.functional import pil_modes_mapping, _get_inverse_affine_matrix
 
-from ._meta_conversion import convert_bounding_box_format
+from ._meta import convert_bounding_box_format
 
 
 horizontal_flip_image_tensor = _FT.hflip