We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Update and unify a number of metrics in `torchmetrics` docs
## 📚 Documentation

Before the next feature release, it'd be nice to update the number of implemented metrics and unify this number over all occurrences within the docs/pages.

**Additional context:** It looks like we've already had almost 80 metrics, so it'd be pity to underestimate these before another feature release O:]

```bash
$ grep -w docs/source/references/functional.rst -e "func" | wc -l
      78
```


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `torchmetrics/__about__.py`
Content:
```
1 __version__ = "0.8.0dev"
2 __author__ = "PyTorchLightning et al."
3 __author_email__ = "name@pytorchlightning.ai"
4 __license__ = "Apache-2.0"
5 __copyright__ = f"Copyright (c) 2020-2022, {__author__}."
6 __homepage__ = "https://github.com/PyTorchLightning/metrics"
7 __docs__ = "PyTorch native Metrics"
8 __docs_url__ = "https://torchmetrics.readthedocs.io/en/stable/"
9 __long_doc__ = """
10 Torchmetrics is a metrics API created for easy metric development and usage in both PyTorch and
11 [PyTorch Lightning](https://pytorch-lightning.readthedocs.io/en/stable/). It was originally a part of
12 Pytorch Lightning, but got split off so users could take advantage of the large collection of metrics
13 implemented without having to install Pytorch Lightning (even though we would love for you to try it out).
14 We currently have around 60+ metrics implemented and we continuously are adding more metrics, both within
15 already covered domains (classification, regression ect.) but also new domains (object detection ect.).
16 We make sure that all our metrics are rigorously tested such that you can trust them.
17 """
18 
19 __all__ = [
20     "__author__",
21     "__author_email__",
22     "__copyright__",
23     "__docs__",
24     "__homepage__",
25     "__license__",
26     "__version__",
27 ]
28
```
--- 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/torchmetrics/__about__.py b/torchmetrics/__about__.py
--- a/torchmetrics/__about__.py
+++ b/torchmetrics/__about__.py
@@ -11,7 +11,7 @@
 [PyTorch Lightning](https://pytorch-lightning.readthedocs.io/en/stable/). It was originally a part of
 Pytorch Lightning, but got split off so users could take advantage of the large collection of metrics
 implemented without having to install Pytorch Lightning (even though we would love for you to try it out).
-We currently have around 60+ metrics implemented and we continuously are adding more metrics, both within
+We currently have around 80+ metrics implemented and we continuously are adding more metrics, both within
 already covered domains (classification, regression ect.) but also new domains (object detection ect.).
 We make sure that all our metrics are rigorously tested such that you can trust them.
 """

{"golden_diff": "diff --git a/torchmetrics/__about__.py b/torchmetrics/__about__.py\n--- a/torchmetrics/__about__.py\n+++ b/torchmetrics/__about__.py\n@@ -11,7 +11,7 @@\n [PyTorch Lightning](https://pytorch-lightning.readthedocs.io/en/stable/). It was originally a part of\n Pytorch Lightning, but got split off so users could take advantage of the large collection of metrics\n implemented without having to install Pytorch Lightning (even though we would love for you to try it out).\n-We currently have around 60+ metrics implemented and we continuously are adding more metrics, both within\n+We currently have around 80+ metrics implemented and we continuously are adding more metrics, both within\n already covered domains (classification, regression ect.) but also new domains (object detection ect.).\n We make sure that all our metrics are rigorously tested such that you can trust them.\n \"\"\"\n", "issue": "Update and unify a number of metrics in `torchmetrics` docs\n## \ud83d\udcda Documentation\r\n\r\nBefore the next feature release, it'd be nice to update the number of implemented metrics and unify this number over all occurrences within the docs/pages.\r\n\r\n**Additional context:** It looks like we've already had almost 80 metrics, so it'd be pity to underestimate these before another feature release O:]\r\n\r\n```bash\r\n$ grep -w docs/source/references/functional.rst -e \"func\" | wc -l\r\n      78\r\n```\r\n\n", "before_files": [{"content": "__version__ = \"0.8.0dev\"\n__author__ = \"PyTorchLightning et al.\"\n__author_email__ = \"name@pytorchlightning.ai\"\n__license__ = \"Apache-2.0\"\n__copyright__ = f\"Copyright (c) 2020-2022, {__author__}.\"\n__homepage__ = \"https://github.com/PyTorchLightning/metrics\"\n__docs__ = \"PyTorch native Metrics\"\n__docs_url__ = \"https://torchmetrics.readthedocs.io/en/stable/\"\n__long_doc__ = \"\"\"\nTorchmetrics is a metrics API created for easy metric development and usage in both PyTorch and\n[PyTorch Lightning](https://pytorch-lightning.readthedocs.io/en/stable/). It was originally a part of\nPytorch Lightning, but got split off so users could take advantage of the large collection of metrics\nimplemented without having to install Pytorch Lightning (even though we would love for you to try it out).\nWe currently have around 60+ metrics implemented and we continuously are adding more metrics, both within\nalready covered domains (classification, regression ect.) but also new domains (object detection ect.).\nWe make sure that all our metrics are rigorously tested such that you can trust them.\n\"\"\"\n\n__all__ = [\n    \"__author__\",\n    \"__author_email__\",\n    \"__copyright__\",\n    \"__docs__\",\n    \"__homepage__\",\n    \"__license__\",\n    \"__version__\",\n]\n", "path": "torchmetrics/__about__.py"}], "after_files": [{"content": "__version__ = \"0.8.0dev\"\n__author__ = \"PyTorchLightning et al.\"\n__author_email__ = \"name@pytorchlightning.ai\"\n__license__ = \"Apache-2.0\"\n__copyright__ = f\"Copyright (c) 2020-2022, {__author__}.\"\n__homepage__ = \"https://github.com/PyTorchLightning/metrics\"\n__docs__ = \"PyTorch native Metrics\"\n__docs_url__ = \"https://torchmetrics.readthedocs.io/en/stable/\"\n__long_doc__ = \"\"\"\nTorchmetrics is a metrics API created for easy metric development and usage in both PyTorch and\n[PyTorch Lightning](https://pytorch-lightning.readthedocs.io/en/stable/). It was originally a part of\nPytorch Lightning, but got split off so users could take advantage of the large collection of metrics\nimplemented without having to install Pytorch Lightning (even though we would love for you to try it out).\nWe currently have around 80+ metrics implemented and we continuously are adding more metrics, both within\nalready covered domains (classification, regression ect.) but also new domains (object detection ect.).\nWe make sure that all our metrics are rigorously tested such that you can trust them.\n\"\"\"\n\n__all__ = [\n    \"__author__\",\n    \"__author_email__\",\n    \"__copyright__\",\n    \"__docs__\",\n    \"__homepage__\",\n    \"__license__\",\n    \"__version__\",\n]\n", "path": "torchmetrics/__about__.py"}]}