We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
dropout1d


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `ivy/functional/frontends/torch/nn/functional/dropout_functions.py`
Content:
```
1 # local
2 import ivy
3 from ivy.func_wrapper import with_unsupported_dtypes
4 
5 from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
6 
7 
8 @to_ivy_arrays_and_back
9 @with_unsupported_dtypes({"2.0.1 and below": ("float16",)}, "torch")
10 def dropout(input, p=0.5, training=True, inplace=False):
11     return ivy.dropout(input, p, training=training)
12
```
--- 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/ivy/functional/frontends/torch/nn/functional/dropout_functions.py b/ivy/functional/frontends/torch/nn/functional/dropout_functions.py
--- a/ivy/functional/frontends/torch/nn/functional/dropout_functions.py
+++ b/ivy/functional/frontends/torch/nn/functional/dropout_functions.py
@@ -9,3 +9,11 @@
 @with_unsupported_dtypes({"2.0.1 and below": ("float16",)}, "torch")
 def dropout(input, p=0.5, training=True, inplace=False):
     return ivy.dropout(input, p, training=training)
+
+
+@to_ivy_arrays_and_back
+@with_unsupported_dtypes({"2.0.1 and below": ("float16",)}, "torch")
+def dropout1d(input, p=0.5, training=True, inplace=False):
+    if inplace:
+        return ivy.dropout1d(input, p, training=training, data_format="NCW", out=input)
+    return ivy.dropout1d(input, p, training=training, data_format="NCW")

{"golden_diff": "diff --git a/ivy/functional/frontends/torch/nn/functional/dropout_functions.py b/ivy/functional/frontends/torch/nn/functional/dropout_functions.py\n--- a/ivy/functional/frontends/torch/nn/functional/dropout_functions.py\n+++ b/ivy/functional/frontends/torch/nn/functional/dropout_functions.py\n@@ -9,3 +9,11 @@\n @with_unsupported_dtypes({\"2.0.1 and below\": (\"float16\",)}, \"torch\")\n def dropout(input, p=0.5, training=True, inplace=False):\n     return ivy.dropout(input, p, training=training)\n+\n+\n+@to_ivy_arrays_and_back\n+@with_unsupported_dtypes({\"2.0.1 and below\": (\"float16\",)}, \"torch\")\n+def dropout1d(input, p=0.5, training=True, inplace=False):\n+    if inplace:\n+        return ivy.dropout1d(input, p, training=training, data_format=\"NCW\", out=input)\n+    return ivy.dropout1d(input, p, training=training, data_format=\"NCW\")\n", "issue": "dropout1d\n\n", "before_files": [{"content": "# local\nimport ivy\nfrom ivy.func_wrapper import with_unsupported_dtypes\n\nfrom ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back\n\n\n@to_ivy_arrays_and_back\n@with_unsupported_dtypes({\"2.0.1 and below\": (\"float16\",)}, \"torch\")\ndef dropout(input, p=0.5, training=True, inplace=False):\n    return ivy.dropout(input, p, training=training)\n", "path": "ivy/functional/frontends/torch/nn/functional/dropout_functions.py"}], "after_files": [{"content": "# local\nimport ivy\nfrom ivy.func_wrapper import with_unsupported_dtypes\n\nfrom ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back\n\n\n@to_ivy_arrays_and_back\n@with_unsupported_dtypes({\"2.0.1 and below\": (\"float16\",)}, \"torch\")\ndef dropout(input, p=0.5, training=True, inplace=False):\n    return ivy.dropout(input, p, training=training)\n\n\n@to_ivy_arrays_and_back\n@with_unsupported_dtypes({\"2.0.1 and below\": (\"float16\",)}, \"torch\")\ndef dropout1d(input, p=0.5, training=True, inplace=False):\n    if inplace:\n        return ivy.dropout1d(input, p, training=training, data_format=\"NCW\", out=input)\n    return ivy.dropout1d(input, p, training=training, data_format=\"NCW\")\n", "path": "ivy/functional/frontends/torch/nn/functional/dropout_functions.py"}]}