prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  dropout2d
  
  
  --- 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/mindspore/ops/function/nn_func.py`
  Content:
  ```
  1 """Includes Mindspore Frontend functions listed in the TODO list
  2 https://github.com/unifyai/ivy/issues/14951."""
  3 
  4 # local
  5 import ivy
  6 from ivy.func_wrapper import with_supported_dtypes
  7 from ivy.functional.frontends.paddle.func_wrapper import to_ivy_arrays_and_back
  8 
  9 
  10 @with_supported_dtypes({"2.0.0 and below": ("float16", "float32")}, "mindspore")
  11 @to_ivy_arrays_and_back
  12 def selu(input_x):
  13     return ivy.selu(input_x)
  14 
  15 
  16 @with_supported_dtypes({"2.0 and below": ("float16", "float32")}, "mindspore")
  17 @to_ivy_arrays_and_back
  18 def softsign(x):
  19     return ivy.divide(x, ivy.add(1, ivy.abs(x)))
  20
  ```
  --- 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/mindspore/ops/function/nn_func.py b/ivy/functional/frontends/mindspore/ops/function/nn_func.py
  --- a/ivy/functional/frontends/mindspore/ops/function/nn_func.py
  +++ b/ivy/functional/frontends/mindspore/ops/function/nn_func.py
  @@ -6,6 +6,23 @@
   from ivy.func_wrapper import with_supported_dtypes
   from ivy.functional.frontends.paddle.func_wrapper import to_ivy_arrays_and_back
   
  +@with_supported_dtypes(
  +    {
  +        "2.0.0 and below": (
  +            "int8",
  +            "int16",
  +            "int32",
  +            "int64",
  +            "float16",
  +            "float32",
  +            "float64",
  +        )
  +    },
  +    "mindspore",
  +)
  +@to_ivy_arrays_and_back
  +def dropout2d(input, p=0.5, training=True):
  +    return ivy.dropout2d(input, p, training=training, data_format="NCHW")
   
   @with_supported_dtypes({"2.0.0 and below": ("float16", "float32")}, "mindspore")
   @to_ivy_arrays_and_back
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/mindspore/ops/function/nn_func.py b/ivy/functional/frontends/mindspore/ops/function/nn_func.py\n--- a/ivy/functional/frontends/mindspore/ops/function/nn_func.py\n+++ b/ivy/functional/frontends/mindspore/ops/function/nn_func.py\n@@ -6,6 +6,23 @@\n from ivy.func_wrapper import with_supported_dtypes\n from ivy.functional.frontends.paddle.func_wrapper import to_ivy_arrays_and_back\n \n+@with_supported_dtypes(\n+    {\n+        \"2.0.0 and below\": (\n+            \"int8\",\n+            \"int16\",\n+            \"int32\",\n+            \"int64\",\n+            \"float16\",\n+            \"float32\",\n+            \"float64\",\n+        )\n+    },\n+    \"mindspore\",\n+)\n+@to_ivy_arrays_and_back\n+def dropout2d(input, p=0.5, training=True):\n+    return ivy.dropout2d(input, p, training=training, data_format=\"NCHW\")\n \n @with_supported_dtypes({\"2.0.0 and below\": (\"float16\", \"float32\")}, \"mindspore\")\n @to_ivy_arrays_and_back\n", "issue": "dropout2d\n\n", "before_files": [{"content": "\"\"\"Includes Mindspore Frontend functions listed in the TODO list\nhttps://github.com/unifyai/ivy/issues/14951.\"\"\"\n\n# local\nimport ivy\nfrom ivy.func_wrapper import with_supported_dtypes\nfrom ivy.functional.frontends.paddle.func_wrapper import to_ivy_arrays_and_back\n\n\n@with_supported_dtypes({\"2.0.0 and below\": (\"float16\", \"float32\")}, \"mindspore\")\n@to_ivy_arrays_and_back\ndef selu(input_x):\n    return ivy.selu(input_x)\n\n\n@with_supported_dtypes({\"2.0 and below\": (\"float16\", \"float32\")}, \"mindspore\")\n@to_ivy_arrays_and_back\ndef softsign(x):\n    return ivy.divide(x, ivy.add(1, ivy.abs(x)))\n", "path": "ivy/functional/frontends/mindspore/ops/function/nn_func.py"}], "after_files": [{"content": "\"\"\"Includes Mindspore Frontend functions listed in the TODO list\nhttps://github.com/unifyai/ivy/issues/14951.\"\"\"\n\n# local\nimport ivy\nfrom ivy.func_wrapper import with_supported_dtypes\nfrom ivy.functional.frontends.paddle.func_wrapper import to_ivy_arrays_and_back\n\n@with_supported_dtypes(\n    {\n        \"2.0.0 and below\": (\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n            \"float16\",\n            \"float32\",\n            \"float64\",\n        )\n    },\n    \"mindspore\",\n)\n@to_ivy_arrays_and_back\ndef dropout2d(input, p=0.5, training=True):\n    return ivy.dropout2d(input, p, training=training, data_format=\"NCHW\")\n\n@with_supported_dtypes({\"2.0.0 and below\": (\"float16\", \"float32\")}, \"mindspore\")\n@to_ivy_arrays_and_back\ndef selu(input_x):\n    return ivy.selu(input_x)\n\n\n@with_supported_dtypes({\"2.0 and below\": (\"float16\", \"float32\")}, \"mindspore\")\n@to_ivy_arrays_and_back\ndef softsign(x):\n    return ivy.divide(x, ivy.add(1, ivy.abs(x)))\n", "path": "ivy/functional/frontends/mindspore/ops/function/nn_func.py"}]}