We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Remove unused module
[`torchaudio._internal.misc_ops`](https://github.com/pytorch/audio/blob/b059f08742e70700ce4c92296a1131118f67a588/torchaudio/_internal/misc_ops.py) is a residue from refactoring of I/O features in the past releases. We can get rid of the whole module.



--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `torchaudio/_internal/misc_ops.py`
Content:
```
1 from typing import Union, Callable
2 
3 import torch
4 from torch import Tensor
5 
6 
7 def normalize_audio(signal: Tensor, normalization: Union[bool, float, Callable]) -> None:
8     """Audio normalization of a tensor in-place.  The normalization can be a bool,
9     a number, or a callable that takes the audio tensor as an input. SoX uses
10     32-bit signed integers internally, thus bool normalizes based on that assumption.
11     """
12 
13     if not normalization:
14         return
15 
16     if isinstance(normalization, bool):
17         normalization = 1 << 31
18 
19     if isinstance(normalization, (float, int)):
20         # normalize with custom value
21         signal /= normalization
22     elif callable(normalization):
23         signal /= normalization(signal)
24 
25 
26 def check_input(src: Tensor) -> None:
27     if not torch.is_tensor(src):
28         raise TypeError('Expected a tensor, got %s' % type(src))
29     if src.is_cuda:
30         raise TypeError('Expected a CPU based tensor, got %s' % type(src))
31
```
--- 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/torchaudio/_internal/misc_ops.py b/torchaudio/_internal/misc_ops.py
deleted file mode 100644
--- a/torchaudio/_internal/misc_ops.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from typing import Union, Callable
-
-import torch
-from torch import Tensor
-
-
-def normalize_audio(signal: Tensor, normalization: Union[bool, float, Callable]) -> None:
-    """Audio normalization of a tensor in-place.  The normalization can be a bool,
-    a number, or a callable that takes the audio tensor as an input. SoX uses
-    32-bit signed integers internally, thus bool normalizes based on that assumption.
-    """
-
-    if not normalization:
-        return
-
-    if isinstance(normalization, bool):
-        normalization = 1 << 31
-
-    if isinstance(normalization, (float, int)):
-        # normalize with custom value
-        signal /= normalization
-    elif callable(normalization):
-        signal /= normalization(signal)
-
-
-def check_input(src: Tensor) -> None:
-    if not torch.is_tensor(src):
-        raise TypeError('Expected a tensor, got %s' % type(src))
-    if src.is_cuda:
-        raise TypeError('Expected a CPU based tensor, got %s' % type(src))

{"golden_diff": "diff --git a/torchaudio/_internal/misc_ops.py b/torchaudio/_internal/misc_ops.py\ndeleted file mode 100644\n--- a/torchaudio/_internal/misc_ops.py\n+++ /dev/null\n@@ -1,30 +0,0 @@\n-from typing import Union, Callable\n-\n-import torch\n-from torch import Tensor\n-\n-\n-def normalize_audio(signal: Tensor, normalization: Union[bool, float, Callable]) -> None:\n-    \"\"\"Audio normalization of a tensor in-place.  The normalization can be a bool,\n-    a number, or a callable that takes the audio tensor as an input. SoX uses\n-    32-bit signed integers internally, thus bool normalizes based on that assumption.\n-    \"\"\"\n-\n-    if not normalization:\n-        return\n-\n-    if isinstance(normalization, bool):\n-        normalization = 1 << 31\n-\n-    if isinstance(normalization, (float, int)):\n-        # normalize with custom value\n-        signal /= normalization\n-    elif callable(normalization):\n-        signal /= normalization(signal)\n-\n-\n-def check_input(src: Tensor) -> None:\n-    if not torch.is_tensor(src):\n-        raise TypeError('Expected a tensor, got %s' % type(src))\n-    if src.is_cuda:\n-        raise TypeError('Expected a CPU based tensor, got %s' % type(src))\n", "issue": "Remove unused module\n[`torchaudio._internal.misc_ops`](https://github.com/pytorch/audio/blob/b059f08742e70700ce4c92296a1131118f67a588/torchaudio/_internal/misc_ops.py) is a residue from refactoring of I/O features in the past releases. We can get rid of the whole module.\r\n\r\n\n", "before_files": [{"content": "from typing import Union, Callable\n\nimport torch\nfrom torch import Tensor\n\n\ndef normalize_audio(signal: Tensor, normalization: Union[bool, float, Callable]) -> None:\n    \"\"\"Audio normalization of a tensor in-place.  The normalization can be a bool,\n    a number, or a callable that takes the audio tensor as an input. SoX uses\n    32-bit signed integers internally, thus bool normalizes based on that assumption.\n    \"\"\"\n\n    if not normalization:\n        return\n\n    if isinstance(normalization, bool):\n        normalization = 1 << 31\n\n    if isinstance(normalization, (float, int)):\n        # normalize with custom value\n        signal /= normalization\n    elif callable(normalization):\n        signal /= normalization(signal)\n\n\ndef check_input(src: Tensor) -> None:\n    if not torch.is_tensor(src):\n        raise TypeError('Expected a tensor, got %s' % type(src))\n    if src.is_cuda:\n        raise TypeError('Expected a CPU based tensor, got %s' % type(src))\n", "path": "torchaudio/_internal/misc_ops.py"}], "after_files": [{"content": null, "path": "torchaudio/_internal/misc_ops.py"}]}