prompt: 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()
  
  ```
  
golden_diff: 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")
  
verification_info: {"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"}]}