Deprecate functional_pil and functional_tensor and make them private (#7269)

Author: NicolasHug

test/prototype_common_utils.py

@@ -17,7 +17,7 @@
 from torch.nn.functional import one_hot
 from torch.testing._comparison import BooleanPair, NonePair, not_close_error_metas, NumberPair, TensorLikePair
 from torchvision import datapoints
-from torchvision.transforms.functional_tensor import _max_value as get_max_value
+from torchvision.transforms._functional_tensor import _max_value as get_max_value
 from torchvision.transforms.v2.functional import convert_dtype_image_tensor, to_image_tensor
 
 __all__ = [

test/prototype_transforms_kernel_infos.py

@@ -29,7 +29,7 @@
 )
 from torch.utils._pytree import tree_map
 from torchvision import datapoints
-from torchvision.transforms.functional_tensor import _max_value as get_max_value, _parse_pad_padding
+from torchvision.transforms._functional_tensor import _max_value as get_max_value, _parse_pad_padding
 
 __all__ = ["KernelInfo", "KERNEL_INFOS"]
 

test/test_functional_tensor.py

@@ -11,9 +11,9 @@
 import pytest
 import torch
 import torchvision.transforms as T
+import torchvision.transforms._functional_pil as F_pil
+import torchvision.transforms._functional_tensor as F_t
 import torchvision.transforms.functional as F
-import torchvision.transforms.functional_pil as F_pil
-import torchvision.transforms.functional_tensor as F_t
 from common_utils import (
     _assert_approx_equal_tensor_to_pil,
     _assert_equal_tensor_to_pil,

test/test_transforms.py

@@ -9,8 +9,8 @@
 import pytest
 import torch
 import torchvision.transforms as transforms
+import torchvision.transforms._functional_tensor as F_t
 import torchvision.transforms.functional as F
-import torchvision.transforms.functional_tensor as F_t
 from PIL import Image
 from torch._utils_internal import get_file_path_2