We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
to_grayscale gives non-actionable deprecation warning
_Originally reported in the [user forum](https://discuss.pytorch.org/t/cannot-find-convert-color-space/182591) by `@function2`._

> When I use to_grayscale, there’s a deprecation warning:
> ```
> UserWarning: The function `to_grayscale(...)` is deprecated in will be removed in a future release. Instead, please use `convert_color_space(..., color_space=datapoints.ColorSpace.GRAY)`.
> ```
> However, I can’t find this function in the current code base

---

Note that this only applies to `torchvision.transforms.v2.function`

https://github.com/pytorch/vision/blob/52eb5039bed1a23eee14014ff4cd6fd9cc9b2b08/torchvision/transforms/v2/functional/_deprecated.py#L12-L22

since the v1 version, i.e. `torchvision.transforms.functional` does not emit the warning

https://github.com/pytorch/vision/blob/52eb5039bed1a23eee14014ff4cd6fd9cc9b2b08/torchvision/transforms/functional.py#L1249-L1253

Fixing the v2 warning was forgotten in #7120.


cc @vfdev-5

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `torchvision/transforms/v2/functional/_deprecated.py`
Content:
```
1 import warnings
2 from typing import Any, List, Union
3 
4 import PIL.Image
5 import torch
6 
7 from torchvision import datapoints
8 from torchvision.transforms import functional as _F
9 
10 
11 @torch.jit.unused
12 def to_grayscale(inpt: PIL.Image.Image, num_output_channels: int = 1) -> PIL.Image.Image:
13     call = ", num_output_channels=3" if num_output_channels == 3 else ""
14     replacement = "convert_color_space(..., color_space=datapoints.ColorSpace.GRAY)"
15     if num_output_channels == 3:
16         replacement = f"convert_color_space({replacement}, color_space=datapoints.ColorSpace.RGB)"
17     warnings.warn(
18         f"The function `to_grayscale(...{call})` is deprecated in will be removed in a future release. "
19         f"Instead, please use `{replacement}`.",
20     )
21 
22     return _F.to_grayscale(inpt, num_output_channels=num_output_channels)
23 
24 
25 @torch.jit.unused
26 def to_tensor(inpt: Any) -> torch.Tensor:
27     warnings.warn(
28         "The function `to_tensor(...)` is deprecated and will be removed in a future release. "
29         "Instead, please use `to_image_tensor(...)` followed by `convert_image_dtype(...)`."
30     )
31     return _F.to_tensor(inpt)
32 
33 
34 def get_image_size(inpt: Union[datapoints._ImageTypeJIT, datapoints._VideoTypeJIT]) -> List[int]:
35     warnings.warn(
36         "The function `get_image_size(...)` is deprecated and will be removed in a future release. "
37         "Instead, please use `get_spatial_size(...)` which returns `[h, w]` instead of `[w, h]`."
38     )
39     return _F.get_image_size(inpt)
40
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/torchvision/transforms/v2/functional/_deprecated.py b/torchvision/transforms/v2/functional/_deprecated.py
--- a/torchvision/transforms/v2/functional/_deprecated.py
+++ b/torchvision/transforms/v2/functional/_deprecated.py
@@ -10,15 +10,10 @@
 
 @torch.jit.unused
 def to_grayscale(inpt: PIL.Image.Image, num_output_channels: int = 1) -> PIL.Image.Image:
-    call = ", num_output_channels=3" if num_output_channels == 3 else ""
-    replacement = "convert_color_space(..., color_space=datapoints.ColorSpace.GRAY)"
-    if num_output_channels == 3:
-        replacement = f"convert_color_space({replacement}, color_space=datapoints.ColorSpace.RGB)"
     warnings.warn(
-        f"The function `to_grayscale(...{call})` is deprecated in will be removed in a future release. "
-        f"Instead, please use `{replacement}`.",
+        "The function `to_grayscale` is deprecated in will be removed in a future release. "
+        "Instead, please use `rgb_to_grayscale`.",
     )
-
     return _F.to_grayscale(inpt, num_output_channels=num_output_channels)

{"golden_diff": "diff --git a/torchvision/transforms/v2/functional/_deprecated.py b/torchvision/transforms/v2/functional/_deprecated.py\n--- a/torchvision/transforms/v2/functional/_deprecated.py\n+++ b/torchvision/transforms/v2/functional/_deprecated.py\n@@ -10,15 +10,10 @@\n \n @torch.jit.unused\n def to_grayscale(inpt: PIL.Image.Image, num_output_channels: int = 1) -> PIL.Image.Image:\n-    call = \", num_output_channels=3\" if num_output_channels == 3 else \"\"\n-    replacement = \"convert_color_space(..., color_space=datapoints.ColorSpace.GRAY)\"\n-    if num_output_channels == 3:\n-        replacement = f\"convert_color_space({replacement}, color_space=datapoints.ColorSpace.RGB)\"\n     warnings.warn(\n-        f\"The function `to_grayscale(...{call})` is deprecated in will be removed in a future release. \"\n-        f\"Instead, please use `{replacement}`.\",\n+        \"The function `to_grayscale` is deprecated in will be removed in a future release. \"\n+        \"Instead, please use `rgb_to_grayscale`.\",\n     )\n-\n     return _F.to_grayscale(inpt, num_output_channels=num_output_channels)\n", "issue": "to_grayscale gives non-actionable deprecation warning\n_Originally reported in the [user forum](https://discuss.pytorch.org/t/cannot-find-convert-color-space/182591) by `@function2`._\r\n\r\n> When I use to_grayscale, there\u2019s a deprecation warning:\r\n> ```\r\n> UserWarning: The function `to_grayscale(...)` is deprecated in will be removed in a future release. Instead, please use `convert_color_space(..., color_space=datapoints.ColorSpace.GRAY)`.\r\n> ```\r\n> However, I can\u2019t find this function in the current code base\r\n\r\n---\r\n\r\nNote that this only applies to `torchvision.transforms.v2.function`\r\n\r\nhttps://github.com/pytorch/vision/blob/52eb5039bed1a23eee14014ff4cd6fd9cc9b2b08/torchvision/transforms/v2/functional/_deprecated.py#L12-L22\r\n\r\nsince the v1 version, i.e. `torchvision.transforms.functional` does not emit the warning\r\n\r\nhttps://github.com/pytorch/vision/blob/52eb5039bed1a23eee14014ff4cd6fd9cc9b2b08/torchvision/transforms/functional.py#L1249-L1253\r\n\r\nFixing the v2 warning was forgotten in #7120.\r\n\n\ncc @vfdev-5\n", "before_files": [{"content": "import warnings\nfrom typing import Any, List, Union\n\nimport PIL.Image\nimport torch\n\nfrom torchvision import datapoints\nfrom torchvision.transforms import functional as _F\n\n\n@torch.jit.unused\ndef to_grayscale(inpt: PIL.Image.Image, num_output_channels: int = 1) -> PIL.Image.Image:\n    call = \", num_output_channels=3\" if num_output_channels == 3 else \"\"\n    replacement = \"convert_color_space(..., color_space=datapoints.ColorSpace.GRAY)\"\n    if num_output_channels == 3:\n        replacement = f\"convert_color_space({replacement}, color_space=datapoints.ColorSpace.RGB)\"\n    warnings.warn(\n        f\"The function `to_grayscale(...{call})` is deprecated in will be removed in a future release. \"\n        f\"Instead, please use `{replacement}`.\",\n    )\n\n    return _F.to_grayscale(inpt, num_output_channels=num_output_channels)\n\n\n@torch.jit.unused\ndef to_tensor(inpt: Any) -> torch.Tensor:\n    warnings.warn(\n        \"The function `to_tensor(...)` is deprecated and will be removed in a future release. \"\n        \"Instead, please use `to_image_tensor(...)` followed by `convert_image_dtype(...)`.\"\n    )\n    return _F.to_tensor(inpt)\n\n\ndef get_image_size(inpt: Union[datapoints._ImageTypeJIT, datapoints._VideoTypeJIT]) -> List[int]:\n    warnings.warn(\n        \"The function `get_image_size(...)` is deprecated and will be removed in a future release. \"\n        \"Instead, please use `get_spatial_size(...)` which returns `[h, w]` instead of `[w, h]`.\"\n    )\n    return _F.get_image_size(inpt)\n", "path": "torchvision/transforms/v2/functional/_deprecated.py"}], "after_files": [{"content": "import warnings\nfrom typing import Any, List, Union\n\nimport PIL.Image\nimport torch\n\nfrom torchvision import datapoints\nfrom torchvision.transforms import functional as _F\n\n\n@torch.jit.unused\ndef to_grayscale(inpt: PIL.Image.Image, num_output_channels: int = 1) -> PIL.Image.Image:\n    warnings.warn(\n        \"The function `to_grayscale` is deprecated in will be removed in a future release. \"\n        \"Instead, please use `rgb_to_grayscale`.\",\n    )\n    return _F.to_grayscale(inpt, num_output_channels=num_output_channels)\n\n\n@torch.jit.unused\ndef to_tensor(inpt: Any) -> torch.Tensor:\n    warnings.warn(\n        \"The function `to_tensor(...)` is deprecated and will be removed in a future release. \"\n        \"Instead, please use `to_image_tensor(...)` followed by `convert_image_dtype(...)`.\"\n    )\n    return _F.to_tensor(inpt)\n\n\ndef get_image_size(inpt: Union[datapoints._ImageTypeJIT, datapoints._VideoTypeJIT]) -> List[int]:\n    warnings.warn(\n        \"The function `get_image_size(...)` is deprecated and will be removed in a future release. \"\n        \"Instead, please use `get_spatial_size(...)` which returns `[h, w]` instead of `[w, h]`.\"\n    )\n    return _F.get_image_size(inpt)\n", "path": "torchvision/transforms/v2/functional/_deprecated.py"}]}