From 44db71c0772e5ef5758c38d0e4e8ad9995946c80 Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Tue, 25 Nov 2025 09:14:49 -0800
Subject: [PATCH 01/13] implement additional cvcuda infra for all branches to
 avoid duplicate setup

---
 torchvision/transforms/v2/_transform.py       |  4 ++--
 torchvision/transforms/v2/_utils.py           |  3 ++-
 .../transforms/v2/functional/__init__.py      |  2 +-
 .../transforms/v2/functional/_augment.py      | 11 ++++++++++-
 .../transforms/v2/functional/_color.py        | 12 +++++++++++-
 .../transforms/v2/functional/_geometry.py     | 19 +++++++++++++++++--
 torchvision/transforms/v2/functional/_misc.py | 11 +++++++++--
 .../transforms/v2/functional/_utils.py        | 16 ++++++++++++++++
 8 files changed, 68 insertions(+), 10 deletions(-)

diff --git a/torchvision/transforms/v2/_transform.py b/torchvision/transforms/v2/_transform.py
index ac84fcb6c82..bec9ffcf714 100644
--- a/torchvision/transforms/v2/_transform.py
+++ b/torchvision/transforms/v2/_transform.py
@@ -11,7 +11,7 @@
 from torchvision.transforms.v2._utils import check_type, has_any, is_pure_tensor
 from torchvision.utils import _log_api_usage_once
 
-from .functional._utils import _get_kernel
+from .functional._utils import _get_kernel, is_cvcuda_tensor
 
 
 class Transform(nn.Module):
@@ -23,7 +23,7 @@ class Transform(nn.Module):
 
     # Class attribute defining transformed types. Other types are passed-through without any transformation
     # We support both Types and callables that are able to do further checks on the type of the input.
-    _transformed_types: tuple[type | Callable[[Any], bool], ...] = (torch.Tensor, PIL.Image.Image)
+    _transformed_types: tuple[type | Callable[[Any], bool], ...] = (torch.Tensor, PIL.Image.Image, is_cvcuda_tensor)
 
     def __init__(self) -> None:
         super().__init__()
diff --git a/torchvision/transforms/v2/_utils.py b/torchvision/transforms/v2/_utils.py
index bb6051b4e61..765a772fe41 100644
--- a/torchvision/transforms/v2/_utils.py
+++ b/torchvision/transforms/v2/_utils.py
@@ -15,7 +15,7 @@
 from torchvision._utils import sequence_to_str
 
 from torchvision.transforms.transforms import _check_sequence_input, _setup_angle, _setup_size  # noqa: F401
-from torchvision.transforms.v2.functional import get_dimensions, get_size, is_pure_tensor
+from torchvision.transforms.v2.functional import get_dimensions, get_size, is_cvcuda_tensor, is_pure_tensor
 from torchvision.transforms.v2.functional._utils import _FillType, _FillTypeJIT
 
 
@@ -207,6 +207,7 @@ def query_size(flat_inputs: list[Any]) -> tuple[int, int]:
                 tv_tensors.Mask,
                 tv_tensors.BoundingBoxes,
                 tv_tensors.KeyPoints,
+                is_cvcuda_tensor,
             ),
         )
     }
diff --git a/torchvision/transforms/v2/functional/__init__.py b/torchvision/transforms/v2/functional/__init__.py
index 032a993b1f0..52181e4624b 100644
--- a/torchvision/transforms/v2/functional/__init__.py
+++ b/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  # usort: skip
+from ._utils import is_pure_tensor, register_kernel, is_cvcuda_tensor  # usort: skip
 
 from ._meta import (
     clamp_bounding_boxes,
diff --git a/torchvision/transforms/v2/functional/_augment.py b/torchvision/transforms/v2/functional/_augment.py
index a904d8d7cbd..7ce5bdc7b7e 100644
--- a/torchvision/transforms/v2/functional/_augment.py
+++ b/torchvision/transforms/v2/functional/_augment.py
@@ -1,4 +1,5 @@
 import io
+from typing import TYPE_CHECKING
 
 import PIL.Image
 
@@ -8,7 +9,15 @@
 from torchvision.transforms.functional import pil_to_tensor, to_pil_image
 from torchvision.utils import _log_api_usage_once
 
-from ._utils import _get_kernel, _register_kernel_internal
+from ._utils import _get_kernel, _import_cvcuda, _is_cvcuda_available, _register_kernel_internal
+
+
+CVCUDA_AVAILABLE = _is_cvcuda_available()
+
+if TYPE_CHECKING:
+    import cvcuda  # type: ignore[import-not-found]
+if CVCUDA_AVAILABLE:
+    cvcuda = _import_cvcuda()  # noqa: F811
 
 
 def erase(
diff --git a/torchvision/transforms/v2/functional/_color.py b/torchvision/transforms/v2/functional/_color.py
index be254c0d63a..5be9c62902a 100644
--- a/torchvision/transforms/v2/functional/_color.py
+++ b/torchvision/transforms/v2/functional/_color.py
@@ -1,3 +1,5 @@
+from typing import TYPE_CHECKING
+
 import PIL.Image
 import torch
 from torch.nn.functional import conv2d
@@ -9,7 +11,15 @@
 
 from ._misc import _num_value_bits, to_dtype_image
 from ._type_conversion import pil_to_tensor, to_pil_image
-from ._utils import _get_kernel, _register_kernel_internal
+from ._utils import _get_kernel, _import_cvcuda, _is_cvcuda_available, _register_kernel_internal
+
+
+CVCUDA_AVAILABLE = _is_cvcuda_available()
+
+if TYPE_CHECKING:
+    import cvcuda  # type: ignore[import-not-found]
+if CVCUDA_AVAILABLE:
+    cvcuda = _import_cvcuda()  # noqa: F811
 
 
 def rgb_to_grayscale(inpt: torch.Tensor, num_output_channels: int = 1) -> torch.Tensor:
diff --git a/torchvision/transforms/v2/functional/_geometry.py b/torchvision/transforms/v2/functional/_geometry.py
index 4fcb7fabe0d..c029488001c 100644
--- a/torchvision/transforms/v2/functional/_geometry.py
+++ b/torchvision/transforms/v2/functional/_geometry.py
@@ -2,7 +2,7 @@
 import numbers
 import warnings
 from collections.abc import Sequence
-from typing import Any, Optional, Union
+from typing import Any, Optional, TYPE_CHECKING, Union
 
 import PIL.Image
 import torch
@@ -26,7 +26,22 @@
 
 from ._meta import _get_size_image_pil, clamp_bounding_boxes, convert_bounding_box_format
 
-from ._utils import _FillTypeJIT, _get_kernel, _register_five_ten_crop_kernel_internal, _register_kernel_internal
+from ._utils import (
+    _FillTypeJIT,
+    _get_kernel,
+    _import_cvcuda,
+    _is_cvcuda_available,
+    _register_five_ten_crop_kernel_internal,
+    _register_kernel_internal,
+)
+
+
+CVCUDA_AVAILABLE = _is_cvcuda_available()
+
+if TYPE_CHECKING:
+    import cvcuda  # type: ignore[import-not-found]
+if CVCUDA_AVAILABLE:
+    cvcuda = _import_cvcuda()  # noqa: F811
 
 
 def _check_interpolation(interpolation: Union[InterpolationMode, int]) -> InterpolationMode:
diff --git a/torchvision/transforms/v2/functional/_misc.py b/torchvision/transforms/v2/functional/_misc.py
index daf263df046..0fa05a2113c 100644
--- a/torchvision/transforms/v2/functional/_misc.py
+++ b/torchvision/transforms/v2/functional/_misc.py
@@ -1,5 +1,5 @@
 import math
-from typing import Optional
+from typing import Optional, TYPE_CHECKING
 
 import PIL.Image
 import torch
@@ -13,7 +13,14 @@
 
 from ._meta import _convert_bounding_box_format
 
-from ._utils import _get_kernel, _register_kernel_internal, is_pure_tensor
+from ._utils import _get_kernel, _import_cvcuda, _is_cvcuda_available, _register_kernel_internal, is_pure_tensor
+
+CVCUDA_AVAILABLE = _is_cvcuda_available()
+
+if TYPE_CHECKING:
+    import cvcuda  # type: ignore[import-not-found]
+if CVCUDA_AVAILABLE:
+    cvcuda = _import_cvcuda()  # noqa: F811
 
 
 def normalize(
diff --git a/torchvision/transforms/v2/functional/_utils.py b/torchvision/transforms/v2/functional/_utils.py
index ad1eddd258b..73fafaf7425 100644
--- a/torchvision/transforms/v2/functional/_utils.py
+++ b/torchvision/transforms/v2/functional/_utils.py
@@ -169,3 +169,19 @@ def _is_cvcuda_available():
         return True
     except ImportError:
         return False
+
+
+def is_cvcuda_tensor(inpt: Any) -> bool:
+    """
+    Check if the input is a CVCUDA tensor.
+
+    Args:
+        inpt: The input to check.
+
+    Returns:
+        True if the input is a CV-CUDA tensor, False otherwise.
+    """
+    if _is_cvcuda_available():
+        cvcuda = _import_cvcuda()
+        return isinstance(inpt, cvcuda.Tensor)
+    return False

From e3dd70022fa1c87aca7a9a98068b6e13e802a375 Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Tue, 25 Nov 2025 09:26:19 -0800
Subject: [PATCH 02/13] update make_image_cvcuda to have default batch dim

---
 test/common_utils.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/test/common_utils.py b/test/common_utils.py
index 8c3c9dd58a8..e7bae60c41b 100644
--- a/test/common_utils.py
+++ b/test/common_utils.py
@@ -400,8 +400,9 @@ def make_image_pil(*args, **kwargs):
     return to_pil_image(make_image(*args, **kwargs))
 
 
-def make_image_cvcuda(*args, **kwargs):
-    return to_cvcuda_tensor(make_image(*args, **kwargs))
+def make_image_cvcuda(*args, batch_dims=(1,), **kwargs):
+    # explicitly default batch_dims to (1,) since to_cvcuda_tensor requires a batch dimension (ndims == 4)
+    return to_cvcuda_tensor(make_image(*args, batch_dims=batch_dims, **kwargs))
 
 
 def make_keypoints(canvas_size=DEFAULT_SIZE, *, num_points=4, dtype=None, device="cpu"):

From c035df1c6eaebcad25604f8c298a7d9eaf86864b Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Mon, 1 Dec 2025 18:16:27 -0800
Subject: [PATCH 03/13] add stanardized setup to main for easier updating of
 PRs and branches

---
 test/common_utils.py                          | 21 ++++++++++++++--
 test/test_transforms_v2.py                    |  2 +-
 torchvision/transforms/v2/_utils.py           |  2 +-
 torchvision/transforms/v2/functional/_meta.py | 24 +++++++++++++++++--
 4 files changed, 43 insertions(+), 6 deletions(-)

diff --git a/test/common_utils.py b/test/common_utils.py
index e7bae60c41b..3b889e93d2e 100644
--- a/test/common_utils.py
+++ b/test/common_utils.py
@@ -20,13 +20,15 @@
 from torch.testing._comparison import BooleanPair, NonePair, not_close_error_metas, NumberPair, TensorLikePair
 from torchvision import io, tv_tensors
 from torchvision.transforms._functional_tensor import _max_value as get_max_value
-from torchvision.transforms.v2.functional import to_cvcuda_tensor, to_image, to_pil_image
+from torchvision.transforms.v2.functional import cvcuda_to_tensor, to_cvcuda_tensor, to_image, to_pil_image
+from torchvision.transforms.v2.functional._utils import _import_cvcuda, _is_cvcuda_available
 from torchvision.utils import _Image_fromarray
 
 
 IN_OSS_CI = any(os.getenv(var) == "true" for var in ["CIRCLECI", "GITHUB_ACTIONS"])
 IN_RE_WORKER = os.environ.get("INSIDE_RE_WORKER") is not None
 IN_FBCODE = os.environ.get("IN_FBCODE_TORCHVISION") == "1"
+CVCUDA_AVAILABLE = _is_cvcuda_available()
 CUDA_NOT_AVAILABLE_MSG = "CUDA device not available"
 MPS_NOT_AVAILABLE_MSG = "MPS device not available"
 OSS_CI_GPU_NO_CUDA_MSG = "We're in an OSS GPU machine, and this test doesn't need cuda."
@@ -275,6 +277,17 @@ def combinations_grid(**kwargs):
     return [dict(zip(kwargs.keys(), values)) for values in itertools.product(*kwargs.values())]
 
 
+def cvcuda_to_pil_compatible_tensor(tensor: "cvcuda.Tensor") -> torch.Tensor:
+    tensor = cvcuda_to_tensor(tensor)
+    if tensor.ndim != 4:
+        raise ValueError(f"CV-CUDA Tensor should be 4 dimensional. Got {tensor.ndim} dimensions.")
+    if tensor.shape[0] != 1:
+        raise ValueError(
+            f"CV-CUDA Tensor should have batch dimension 1 for comparison with PIL.Image.Image. Got {tensor.shape[0]}."
+        )
+    return tensor.squeeze(0).cpu()
+
+
 class ImagePair(TensorLikePair):
     def __init__(
         self,
@@ -287,6 +300,11 @@ def __init__(
         if all(isinstance(input, PIL.Image.Image) for input in [actual, expected]):
             actual, expected = (to_image(input) for input in [actual, expected])
 
+        # handle check for CV-CUDA Tensors
+        if CVCUDA_AVAILABLE and isinstance(actual, _import_cvcuda().Tensor):
+            # Use the PIL compatible tensor, so we can always compare with PIL.Image.Image
+            actual = cvcuda_to_pil_compatible_tensor(actual)
+
         super().__init__(actual, expected, **other_parameters)
         self.mae = mae
 
@@ -401,7 +419,6 @@ def make_image_pil(*args, **kwargs):
 
 
 def make_image_cvcuda(*args, batch_dims=(1,), **kwargs):
-    # explicitly default batch_dims to (1,) since to_cvcuda_tensor requires a batch dimension (ndims == 4)
     return to_cvcuda_tensor(make_image(*args, batch_dims=batch_dims, **kwargs))
 
 
diff --git a/test/test_transforms_v2.py b/test/test_transforms_v2.py
index 670a9d00ffb..7eba65550da 100644
--- a/test/test_transforms_v2.py
+++ b/test/test_transforms_v2.py
@@ -21,6 +21,7 @@
 import torchvision.transforms.v2 as transforms
 
 from common_utils import (
+    assert_close,
     assert_equal,
     cache,
     cpu_and_cuda,
@@ -41,7 +42,6 @@
 )
 
 from torch import nn
-from torch.testing import assert_close
 from torch.utils._pytree import tree_flatten, tree_map
 from torch.utils.data import DataLoader, default_collate
 from torchvision import tv_tensors
diff --git a/torchvision/transforms/v2/_utils.py b/torchvision/transforms/v2/_utils.py
index 765a772fe41..3fc33ce5964 100644
--- a/torchvision/transforms/v2/_utils.py
+++ b/torchvision/transforms/v2/_utils.py
@@ -182,7 +182,7 @@ def query_chw(flat_inputs: list[Any]) -> tuple[int, int, int]:
     chws = {
         tuple(get_dimensions(inpt))
         for inpt in flat_inputs
-        if check_type(inpt, (is_pure_tensor, tv_tensors.Image, PIL.Image.Image, tv_tensors.Video))
+        if check_type(inpt, (is_pure_tensor, tv_tensors.Image, PIL.Image.Image, tv_tensors.Video, is_cvcuda_tensor))
     }
     if not chws:
         raise TypeError("No image or video was found in the sample")
diff --git a/torchvision/transforms/v2/functional/_meta.py b/torchvision/transforms/v2/functional/_meta.py
index 6b8f19f12f4..ee562cb2aee 100644
--- a/torchvision/transforms/v2/functional/_meta.py
+++ b/torchvision/transforms/v2/functional/_meta.py
@@ -51,6 +51,16 @@ def get_dimensions_video(video: torch.Tensor) -> list[int]:
     return get_dimensions_image(video)
 
 
+def _get_dimensions_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)
+
+
 def get_num_channels(inpt: torch.Tensor) -> int:
     if torch.jit.is_scripting():
         return get_num_channels_image(inpt)
@@ -87,6 +97,16 @@ 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:
+    # 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)
+
+
 def get_size(inpt: torch.Tensor) -> list[int]:
     if torch.jit.is_scripting():
         return get_size_image(inpt)
@@ -114,7 +134,7 @@ def _get_size_image_pil(image: PIL.Image.Image) -> list[int]:
     return [height, width]
 
 
-def get_size_image_cvcuda(image: "cvcuda.Tensor") -> list[int]:
+def _get_size_cvcuda(image: "cvcuda.Tensor") -> list[int]:
     """Get size of `cvcuda.Tensor` with NHWC layout."""
     hw = list(image.shape[-3:-1])
     ndims = len(hw)
@@ -125,7 +145,7 @@ def get_size_image_cvcuda(image: "cvcuda.Tensor") -> list[int]:
 
 
 if CVCUDA_AVAILABLE:
-    _get_size_image_cvcuda = _register_kernel_internal(get_size, cvcuda.Tensor)(get_size_image_cvcuda)
+    _register_kernel_internal(get_size, cvcuda.Tensor)(_get_size_cvcuda)
 
 
 @_register_kernel_internal(get_size, tv_tensors.Video, tv_tensor_wrapper=False)

From 98d7dfb2059eaf2c10c3f549ea45f1d27875134c Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Mon, 1 Dec 2025 18:25:09 -0800
Subject: [PATCH 04/13] update is_cvcuda_tensor

---
 torchvision/transforms/v2/functional/_utils.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/torchvision/transforms/v2/functional/_utils.py b/torchvision/transforms/v2/functional/_utils.py
index 73fafaf7425..44b2edeaf2d 100644
--- a/torchvision/transforms/v2/functional/_utils.py
+++ b/torchvision/transforms/v2/functional/_utils.py
@@ -181,7 +181,8 @@ def is_cvcuda_tensor(inpt: Any) -> bool:
     Returns:
         True if the input is a CV-CUDA tensor, False otherwise.
     """
-    if _is_cvcuda_available():
+    try:
         cvcuda = _import_cvcuda()
         return isinstance(inpt, cvcuda.Tensor)
-    return False
+    except ImportError:
+        return False

From ddc116d13febdae1d53507bcde9f103a4c14eba7 Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Tue, 2 Dec 2025 12:37:03 -0800
Subject: [PATCH 05/13] add cvcuda to pil compatible to transforms by default

---
 test/test_transforms_v2.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/test/test_transforms_v2.py b/test/test_transforms_v2.py
index 7eba65550da..87166477669 100644
--- a/test/test_transforms_v2.py
+++ b/test/test_transforms_v2.py
@@ -25,6 +25,7 @@
     assert_equal,
     cache,
     cpu_and_cuda,
+    cvcuda_to_pil_compatible_tensor,
     freeze_rng_state,
     ignore_jit_no_profile_information_warning,
     make_bounding_boxes,

From e51dc7eabd254261347245f4492892fd0944aae5 Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Tue, 2 Dec 2025 12:46:23 -0800
Subject: [PATCH 06/13] remove cvcuda from transform class

---
 torchvision/transforms/v2/_transform.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/torchvision/transforms/v2/_transform.py b/torchvision/transforms/v2/_transform.py
index bec9ffcf714..ac84fcb6c82 100644
--- a/torchvision/transforms/v2/_transform.py
+++ b/torchvision/transforms/v2/_transform.py
@@ -11,7 +11,7 @@
 from torchvision.transforms.v2._utils import check_type, has_any, is_pure_tensor
 from torchvision.utils import _log_api_usage_once
 
-from .functional._utils import _get_kernel, is_cvcuda_tensor
+from .functional._utils import _get_kernel
 
 
 class Transform(nn.Module):
@@ -23,7 +23,7 @@ class Transform(nn.Module):
 
     # Class attribute defining transformed types. Other types are passed-through without any transformation
     # We support both Types and callables that are able to do further checks on the type of the input.
-    _transformed_types: tuple[type | Callable[[Any], bool], ...] = (torch.Tensor, PIL.Image.Image, is_cvcuda_tensor)
+    _transformed_types: tuple[type | Callable[[Any], bool], ...] = (torch.Tensor, PIL.Image.Image)
 
     def __init__(self) -> None:
         super().__init__()

From 4939355a2c7421eeba95d7f155fe7953066aec6d Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Thu, 4 Dec 2025 11:07:08 -0800
Subject: [PATCH 07/13] resolve more formatting naming

---
 torchvision/transforms/v2/functional/__init__.py | 2 +-
 torchvision/transforms/v2/functional/_meta.py    | 8 ++++----
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/torchvision/transforms/v2/functional/__init__.py b/torchvision/transforms/v2/functional/__init__.py
index 52181e4624b..032a993b1f0 100644
--- a/torchvision/transforms/v2/functional/__init__.py
+++ b/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,
diff --git a/torchvision/transforms/v2/functional/_meta.py b/torchvision/transforms/v2/functional/_meta.py
index e8630f788ca..af03ad018d4 100644
--- a/torchvision/transforms/v2/functional/_meta.py
+++ b/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]:

From fbea584365311ae6b56be7e4f6bbff1f834dd31a Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Thu, 4 Dec 2025 11:15:49 -0800
Subject: [PATCH 08/13] update is cvcuda tensor impl

---
 torchvision/transforms/v2/_utils.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/torchvision/transforms/v2/_utils.py b/torchvision/transforms/v2/_utils.py
index 3fc33ce5964..e803aa49c60 100644
--- a/torchvision/transforms/v2/_utils.py
+++ b/torchvision/transforms/v2/_utils.py
@@ -15,8 +15,8 @@
 from torchvision._utils import sequence_to_str
 
 from torchvision.transforms.transforms import _check_sequence_input, _setup_angle, _setup_size  # noqa: F401
-from torchvision.transforms.v2.functional import get_dimensions, get_size, is_cvcuda_tensor, is_pure_tensor
-from torchvision.transforms.v2.functional._utils import _FillType, _FillTypeJIT
+from torchvision.transforms.v2.functional import get_dimensions, get_size, is_pure_tensor
+from torchvision.transforms.v2.functional._utils import _FillType, _FillTypeJIT, _is_cvcuda_tensor
 
 
 def _setup_number_or_seq(arg: int | float | Sequence[int | float], name: str) -> Sequence[float]:
@@ -182,7 +182,7 @@ def query_chw(flat_inputs: list[Any]) -> tuple[int, int, int]:
     chws = {
         tuple(get_dimensions(inpt))
         for inpt in flat_inputs
-        if check_type(inpt, (is_pure_tensor, tv_tensors.Image, PIL.Image.Image, tv_tensors.Video, is_cvcuda_tensor))
+        if check_type(inpt, (is_pure_tensor, tv_tensors.Image, PIL.Image.Image, tv_tensors.Video, _is_cvcuda_tensor))
     }
     if not chws:
         raise TypeError("No image or video was found in the sample")
@@ -207,7 +207,7 @@ def query_size(flat_inputs: list[Any]) -> tuple[int, int]:
                 tv_tensors.Mask,
                 tv_tensors.BoundingBoxes,
                 tv_tensors.KeyPoints,
-                is_cvcuda_tensor,
+                _is_cvcuda_tensor,
             ),
         )
     }

From 01460443f64843627a8df98c63ed45849e370a89 Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Mon, 1 Dec 2025 14:51:40 -0800
Subject: [PATCH 09/13] gaussian_noise cvcuda backend

---
 test/test_transforms_v2.py                    | 43 +++++++++++++++++--
 torchvision/transforms/v2/functional/_misc.py | 29 +++++++++++++
 2 files changed, 68 insertions(+), 4 deletions(-)

diff --git a/test/test_transforms_v2.py b/test/test_transforms_v2.py
index f767e211125..52edade3bc5 100644
--- a/test/test_transforms_v2.py
+++ b/test/test_transforms_v2.py
@@ -4075,14 +4075,28 @@ def test_kernel_uint8(self, make_input):
 
     @pytest.mark.parametrize(
         "make_input",
-        [make_image_tensor, make_image, make_video],
+        [
+            make_image_tensor,
+            make_image,
+            make_video,
+            pytest.param(
+                make_image_cvcuda, marks=pytest.mark.skipif(not CVCUDA_AVAILABLE, reason="CV-CUDA not available")
+            ),
+        ],
     )
     def test_functional_float(self, make_input):
         check_functional(F.gaussian_noise, make_input(dtype=torch.float32))
 
     @pytest.mark.parametrize(
         "make_input",
-        [make_image_tensor, make_image, make_video],
+        [
+            make_image_tensor,
+            make_image,
+            make_video,
+            pytest.param(
+                make_image_cvcuda, marks=pytest.mark.skipif(not CVCUDA_AVAILABLE, reason="CV-CUDA not available")
+            ),
+        ],
     )
     def test_functional_uint8(self, make_input):
         check_functional(F.gaussian_noise, make_input(dtype=torch.uint8))
@@ -4093,14 +4107,28 @@ def test_functional_uint8(self, make_input):
             (F.gaussian_noise, torch.Tensor),
             (F.gaussian_noise_image, tv_tensors.Image),
             (F.gaussian_noise_video, tv_tensors.Video),
+            pytest.param(
+                F._misc._gaussian_noise_cvcuda,
+                "cvcuda.Tensor",
+                marks=pytest.mark.skipif(not CVCUDA_AVAILABLE, reason="CV-CUDA not available"),
+            ),
         ],
     )
     def test_functional_signature(self, kernel, input_type):
+        if input_type == "cvcuda.Tensor":
+            input_type = _import_cvcuda().Tensor
         check_functional_kernel_signature_match(F.gaussian_noise, kernel=kernel, input_type=input_type)
 
     @pytest.mark.parametrize(
         "make_input",
-        [make_image_tensor, make_image, make_video],
+        [
+            make_image_tensor,
+            make_image,
+            make_video,
+            pytest.param(
+                make_image_cvcuda, marks=pytest.mark.skipif(not CVCUDA_AVAILABLE, reason="CV-CUDA not available")
+            ),
+        ],
     )
     def test_transform_float(self, make_input):
         def adapter(_, input, __):
@@ -4118,7 +4146,14 @@ def adapter(_, input, __):
 
     @pytest.mark.parametrize(
         "make_input",
-        [make_image_tensor, make_image, make_video],
+        [
+            make_image_tensor,
+            make_image,
+            make_video,
+            pytest.param(
+                make_image_cvcuda, marks=pytest.mark.skipif(not CVCUDA_AVAILABLE, reason="CV-CUDA not available")
+            ),
+        ],
     )
     def test_transform_uint8(self, make_input):
         def adapter(_, input, __):
diff --git a/torchvision/transforms/v2/functional/_misc.py b/torchvision/transforms/v2/functional/_misc.py
index 0fa05a2113c..05b413bb64c 100644
--- a/torchvision/transforms/v2/functional/_misc.py
+++ b/torchvision/transforms/v2/functional/_misc.py
@@ -238,6 +238,35 @@ def _gaussian_noise_pil(
     raise ValueError("Gaussian Noise is not implemented for PIL images.")
 
 
+def _gaussian_noise_cvcuda(
+    image: "cvcuda.Tensor",
+    mean: float = 0.0,
+    sigma: float = 0.1,
+    clip: bool = True,
+) -> "cvcuda.Tensor":
+    cvcuda = _import_cvcuda()
+
+    batch_size = image.shape[0]
+    mu_tensor = cvcuda.as_tensor(torch.full((batch_size,), mean, dtype=torch.float32).cuda(), "N")
+    sigma_tensor = cvcuda.as_tensor(torch.full((batch_size,), sigma, dtype=torch.float32).cuda(), "N")
+
+    # per-channel means each channel gets unique random noise, same behavior as torch.randn_like
+    # produce a seed with torch RNG, if seed is manually set then this will be deterministic
+    # note: clip is not supported in CV-CUDA, so we don't need to clamp the values
+    # by default, clamping is done for floats, and uint8 overflows so is clamped from 0-255 anyways
+    return cvcuda.gaussiannoise(
+        image,
+        mu=mu_tensor,
+        sigma=sigma_tensor,
+        per_channel=True,
+        seed=int(torch.empty((), dtype=torch.int64).random_().item()),
+    )
+
+
+if CVCUDA_AVAILABLE:
+    _register_kernel_internal(gaussian_noise, _import_cvcuda().Tensor)(_gaussian_noise_cvcuda)
+
+
 def to_dtype(inpt: torch.Tensor, dtype: torch.dtype = torch.float, scale: bool = False) -> torch.Tensor:
     """See :func:`~torchvision.transforms.v2.ToDtype` for details."""
     if torch.jit.is_scripting():

From 961de58eeb761c5f8493dee3f77b65a04aac076e Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Mon, 1 Dec 2025 14:55:39 -0800
Subject: [PATCH 10/13] add cvcuda tensor to transformed types of GaussianNoise

---
 torchvision/transforms/v2/_misc.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/torchvision/transforms/v2/_misc.py b/torchvision/transforms/v2/_misc.py
index 305149c87b1..06062aafb62 100644
--- a/torchvision/transforms/v2/_misc.py
+++ b/torchvision/transforms/v2/_misc.py
@@ -17,6 +17,7 @@
     get_bounding_boxes,
     get_keypoints,
     has_any,
+    is_cvcuda_tensor,
     is_pure_tensor,
 )
 
@@ -240,6 +241,8 @@ class GaussianNoise(Transform):
             Default is True.
     """
 
+    _transformed_types = Transform._transformed_types + (is_cvcuda_tensor,)
+
     def __init__(self, mean: float = 0.0, sigma: float = 0.1, clip=True) -> None:
         super().__init__()
         self.mean = mean

From 2102fb5135eb5221bd4c7c2e44e37530652f1e71 Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Thu, 4 Dec 2025 13:29:09 -0800
Subject: [PATCH 11/13] update gaussian noise to main standards

---
 test/test_transforms_v2.py                    | 3 +--
 torchvision/transforms/v2/_misc.py            | 7 +++++--
 torchvision/transforms/v2/functional/_misc.py | 4 ++--
 3 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/test/test_transforms_v2.py b/test/test_transforms_v2.py
index 52edade3bc5..bca5bfd12f0 100644
--- a/test/test_transforms_v2.py
+++ b/test/test_transforms_v2.py
@@ -25,7 +25,6 @@
     assert_equal,
     cache,
     cpu_and_cuda,
-    cvcuda_to_pil_compatible_tensor,
     freeze_rng_state,
     ignore_jit_no_profile_information_warning,
     make_bounding_boxes,
@@ -4108,7 +4107,7 @@ def test_functional_uint8(self, make_input):
             (F.gaussian_noise_image, tv_tensors.Image),
             (F.gaussian_noise_video, tv_tensors.Video),
             pytest.param(
-                F._misc._gaussian_noise_cvcuda,
+                F._misc._gaussian_noise_image_cvcuda,
                 "cvcuda.Tensor",
                 marks=pytest.mark.skipif(not CVCUDA_AVAILABLE, reason="CV-CUDA not available"),
             ),
diff --git a/torchvision/transforms/v2/_misc.py b/torchvision/transforms/v2/_misc.py
index 06062aafb62..dfb2a4721c6 100644
--- a/torchvision/transforms/v2/_misc.py
+++ b/torchvision/transforms/v2/_misc.py
@@ -9,6 +9,7 @@
 
 from torchvision import transforms as _transforms, tv_tensors
 from torchvision.transforms.v2 import functional as F, Transform
+from torchvision.transforms.v2.functional._utils import _is_cvcuda_available, _is_cvcuda_tensor
 
 from ._utils import (
     _parse_labels_getter,
@@ -17,10 +18,11 @@
     get_bounding_boxes,
     get_keypoints,
     has_any,
-    is_cvcuda_tensor,
     is_pure_tensor,
 )
 
+CVCUDA_AVAILABLE = _is_cvcuda_available()
+
 
 # TODO: do we want/need to expose this?
 class Identity(Transform):
@@ -241,7 +243,8 @@ class GaussianNoise(Transform):
             Default is True.
     """
 
-    _transformed_types = Transform._transformed_types + (is_cvcuda_tensor,)
+    if CVCUDA_AVAILABLE:
+        _transformed_types = Transform._transformed_types + (_is_cvcuda_tensor,)
 
     def __init__(self, mean: float = 0.0, sigma: float = 0.1, clip=True) -> None:
         super().__init__()
diff --git a/torchvision/transforms/v2/functional/_misc.py b/torchvision/transforms/v2/functional/_misc.py
index 05b413bb64c..483330de7b3 100644
--- a/torchvision/transforms/v2/functional/_misc.py
+++ b/torchvision/transforms/v2/functional/_misc.py
@@ -238,7 +238,7 @@ def _gaussian_noise_pil(
     raise ValueError("Gaussian Noise is not implemented for PIL images.")
 
 
-def _gaussian_noise_cvcuda(
+def _gaussian_noise_image_cvcuda(
     image: "cvcuda.Tensor",
     mean: float = 0.0,
     sigma: float = 0.1,
@@ -264,7 +264,7 @@ def _gaussian_noise_cvcuda(
 
 
 if CVCUDA_AVAILABLE:
-    _register_kernel_internal(gaussian_noise, _import_cvcuda().Tensor)(_gaussian_noise_cvcuda)
+    _register_kernel_internal(gaussian_noise, _import_cvcuda().Tensor)(_gaussian_noise_image_cvcuda)
 
 
 def to_dtype(inpt: torch.Tensor, dtype: torch.dtype = torch.float, scale: bool = False) -> torch.Tensor:

From 8e8e8c714a3d31e1774aa4e329a867806600230f Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Thu, 4 Dec 2025 13:30:01 -0800
Subject: [PATCH 12/13] remove cvcuda from color and augment

---
 torchvision/transforms/v2/functional/_augment.py | 11 +----------
 torchvision/transforms/v2/functional/_color.py   | 12 +-----------
 2 files changed, 2 insertions(+), 21 deletions(-)

diff --git a/torchvision/transforms/v2/functional/_augment.py b/torchvision/transforms/v2/functional/_augment.py
index 7ce5bdc7b7e..a904d8d7cbd 100644
--- a/torchvision/transforms/v2/functional/_augment.py
+++ b/torchvision/transforms/v2/functional/_augment.py
@@ -1,5 +1,4 @@
 import io
-from typing import TYPE_CHECKING
 
 import PIL.Image
 
@@ -9,15 +8,7 @@
 from torchvision.transforms.functional import pil_to_tensor, to_pil_image
 from torchvision.utils import _log_api_usage_once
 
-from ._utils import _get_kernel, _import_cvcuda, _is_cvcuda_available, _register_kernel_internal
-
-
-CVCUDA_AVAILABLE = _is_cvcuda_available()
-
-if TYPE_CHECKING:
-    import cvcuda  # type: ignore[import-not-found]
-if CVCUDA_AVAILABLE:
-    cvcuda = _import_cvcuda()  # noqa: F811
+from ._utils import _get_kernel, _register_kernel_internal
 
 
 def erase(
diff --git a/torchvision/transforms/v2/functional/_color.py b/torchvision/transforms/v2/functional/_color.py
index 5be9c62902a..be254c0d63a 100644
--- a/torchvision/transforms/v2/functional/_color.py
+++ b/torchvision/transforms/v2/functional/_color.py
@@ -1,5 +1,3 @@
-from typing import TYPE_CHECKING
-
 import PIL.Image
 import torch
 from torch.nn.functional import conv2d
@@ -11,15 +9,7 @@
 
 from ._misc import _num_value_bits, to_dtype_image
 from ._type_conversion import pil_to_tensor, to_pil_image
-from ._utils import _get_kernel, _import_cvcuda, _is_cvcuda_available, _register_kernel_internal
-
-
-CVCUDA_AVAILABLE = _is_cvcuda_available()
-
-if TYPE_CHECKING:
-    import cvcuda  # type: ignore[import-not-found]
-if CVCUDA_AVAILABLE:
-    cvcuda = _import_cvcuda()  # noqa: F811
+from ._utils import _get_kernel, _register_kernel_internal
 
 
 def rgb_to_grayscale(inpt: torch.Tensor, num_output_channels: int = 1) -> torch.Tensor:

From f66a82f052c755fe22bb78aacfd371a00a43f79d Mon Sep 17 00:00:00 2001
From: Justin Davis <judavis@nvidia.com>
Date: Thu, 4 Dec 2025 13:47:56 -0800
Subject: [PATCH 13/13] check input type on kernel for signature test

---
 test/test_transforms_v2.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/test/test_transforms_v2.py b/test/test_transforms_v2.py
index bca5bfd12f0..5d87646eba3 100644
--- a/test/test_transforms_v2.py
+++ b/test/test_transforms_v2.py
@@ -4108,13 +4108,13 @@ def test_functional_uint8(self, make_input):
             (F.gaussian_noise_video, tv_tensors.Video),
             pytest.param(
                 F._misc._gaussian_noise_image_cvcuda,
-                "cvcuda.Tensor",
+                None,
                 marks=pytest.mark.skipif(not CVCUDA_AVAILABLE, reason="CV-CUDA not available"),
             ),
         ],
     )
     def test_functional_signature(self, kernel, input_type):
-        if input_type == "cvcuda.Tensor":
+        if kernel is F._misc._gaussian_noise_image_cvcuda:
             input_type = _import_cvcuda().Tensor
         check_functional_kernel_signature_match(F.gaussian_noise, kernel=kernel, input_type=input_type)