prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  empty_like
  
  
  --- 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/paddle/tensor/creation.py`
  Content:
  ```
  1 # global
  2 import ivy
  3 from ivy.func_wrapper import with_unsupported_dtypes
  4 from .tensor import Tensor
  5 from ivy.functional.frontends.paddle.func_wrapper import (
  6     to_ivy_arrays_and_back,
  7 )
  8 
  9 
  10 @to_ivy_arrays_and_back
  11 def to_tensor(data, /, *, dtype=None, place=None, stop_gradient=True):
  12     array = ivy.array(data, dtype=dtype, device=place)
  13     return Tensor(array, dtype=dtype, place=place)
  14 
  15 
  16 @with_unsupported_dtypes({"2.4.2 and below": "int8"}, "paddle")
  17 @to_ivy_arrays_and_back
  18 def ones(shape, /, *, dtype=None, name=None):
  19     dtype = "float32" if dtype is None else dtype
  20     return ivy.ones(shape, dtype=dtype)
  21 
  22 
  23 @with_unsupported_dtypes(
  24     {"2.4.2 and below": ("uint8", "int8", "complex64", "complex128")}, "paddle"
  25 )
  26 @to_ivy_arrays_and_back
  27 def ones_like(x, /, *, dtype=None, name=None):
  28     dtype = x.dtype if dtype is None else dtype
  29     return ivy.ones_like(x, dtype=dtype)
  30 
  31 
  32 @with_unsupported_dtypes({"2.4.2 and below": "int8"}, "paddle")
  33 @to_ivy_arrays_and_back
  34 def zeros(shape, /, *, dtype=None, name=None):
  35     dtype = "float32" if dtype is None else dtype
  36     return ivy.zeros(shape, dtype=dtype)
  37 
  38 
  39 @with_unsupported_dtypes(
  40     {"2.4.2 and below": ("uint8", "int8", "complex64", "complex128")}, "paddle"
  41 )
  42 @to_ivy_arrays_and_back
  43 def zeros_like(x, /, *, dtype=None, name=None):
  44     dtype = x.dtype if dtype is None else dtype
  45     return ivy.zeros_like(x, dtype=dtype)
  46 
  47 
  48 @to_ivy_arrays_and_back
  49 def full(shape, fill_value, /, *, dtype=None, name=None):
  50     dtype = "float32" if dtype is None else dtype
  51     return ivy.full(shape, fill_value, dtype=dtype)
  52 
  53 
  54 @to_ivy_arrays_and_back
  55 def full_like(x, fill_value, /, *, dtype=None, name=None):
  56     dtype = x.dtype if dtype is None else dtype
  57     return ivy.full_like(x, fill_value, dtype=dtype)
  58 
  59 
  60 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  61 @to_ivy_arrays_and_back
  62 def arange(start, end=None, step=1, dtype=None, name=None):
  63     return ivy.arange(start, end, step=step, dtype=dtype)
  64 
  65 
  66 @to_ivy_arrays_and_back
  67 def empty(shape, dtype=None):
  68     return ivy.empty(shape=shape, dtype=dtype)
  69 
  70 
  71 @to_ivy_arrays_and_back
  72 def eye(num_rows, num_columns=None, dtype=None, name=None):
  73     return ivy.eye(num_rows, num_columns, dtype=dtype)
  74
  ```
  --- 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/paddle/tensor/creation.py b/ivy/functional/frontends/paddle/tensor/creation.py
  --- a/ivy/functional/frontends/paddle/tensor/creation.py
  +++ b/ivy/functional/frontends/paddle/tensor/creation.py
  @@ -71,3 +71,8 @@
   @to_ivy_arrays_and_back
   def eye(num_rows, num_columns=None, dtype=None, name=None):
       return ivy.eye(num_rows, num_columns, dtype=dtype)
  +
  +
  +@to_ivy_arrays_and_back
  +def empty_like(x, dtype=None, name=None):
  +    return ivy.empty_like(x, dtype=dtype)
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/paddle/tensor/creation.py b/ivy/functional/frontends/paddle/tensor/creation.py\n--- a/ivy/functional/frontends/paddle/tensor/creation.py\n+++ b/ivy/functional/frontends/paddle/tensor/creation.py\n@@ -71,3 +71,8 @@\n @to_ivy_arrays_and_back\r\n def eye(num_rows, num_columns=None, dtype=None, name=None):\r\n     return ivy.eye(num_rows, num_columns, dtype=dtype)\r\n+\r\n+\r\n+@to_ivy_arrays_and_back\r\n+def empty_like(x, dtype=None, name=None):\r\n+    return ivy.empty_like(x, dtype=dtype)\n", "issue": "empty_like\n\n", "before_files": [{"content": "# global\r\nimport ivy\r\nfrom ivy.func_wrapper import with_unsupported_dtypes\r\nfrom .tensor import Tensor\r\nfrom ivy.functional.frontends.paddle.func_wrapper import (\r\n    to_ivy_arrays_and_back,\r\n)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef to_tensor(data, /, *, dtype=None, place=None, stop_gradient=True):\r\n    array = ivy.array(data, dtype=dtype, device=place)\r\n    return Tensor(array, dtype=dtype, place=place)\r\n\r\n\r\n@with_unsupported_dtypes({\"2.4.2 and below\": \"int8\"}, \"paddle\")\r\n@to_ivy_arrays_and_back\r\ndef ones(shape, /, *, dtype=None, name=None):\r\n    dtype = \"float32\" if dtype is None else dtype\r\n    return ivy.ones(shape, dtype=dtype)\r\n\r\n\r\n@with_unsupported_dtypes(\r\n    {\"2.4.2 and below\": (\"uint8\", \"int8\", \"complex64\", \"complex128\")}, \"paddle\"\r\n)\r\n@to_ivy_arrays_and_back\r\ndef ones_like(x, /, *, dtype=None, name=None):\r\n    dtype = x.dtype if dtype is None else dtype\r\n    return ivy.ones_like(x, dtype=dtype)\r\n\r\n\r\n@with_unsupported_dtypes({\"2.4.2 and below\": \"int8\"}, \"paddle\")\r\n@to_ivy_arrays_and_back\r\ndef zeros(shape, /, *, dtype=None, name=None):\r\n    dtype = \"float32\" if dtype is None else dtype\r\n    return ivy.zeros(shape, dtype=dtype)\r\n\r\n\r\n@with_unsupported_dtypes(\r\n    {\"2.4.2 and below\": (\"uint8\", \"int8\", \"complex64\", \"complex128\")}, \"paddle\"\r\n)\r\n@to_ivy_arrays_and_back\r\ndef zeros_like(x, /, *, dtype=None, name=None):\r\n    dtype = x.dtype if dtype is None else dtype\r\n    return ivy.zeros_like(x, dtype=dtype)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef full(shape, fill_value, /, *, dtype=None, name=None):\r\n    dtype = \"float32\" if dtype is None else dtype\r\n    return ivy.full(shape, fill_value, dtype=dtype)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef full_like(x, fill_value, /, *, dtype=None, name=None):\r\n    dtype = x.dtype if dtype is None else dtype\r\n    return ivy.full_like(x, fill_value, dtype=dtype)\r\n\r\n\r\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\r\n@to_ivy_arrays_and_back\r\ndef arange(start, end=None, step=1, dtype=None, name=None):\r\n    return ivy.arange(start, end, step=step, dtype=dtype)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef empty(shape, dtype=None):\r\n    return ivy.empty(shape=shape, dtype=dtype)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef eye(num_rows, num_columns=None, dtype=None, name=None):\r\n    return ivy.eye(num_rows, num_columns, dtype=dtype)\r\n", "path": "ivy/functional/frontends/paddle/tensor/creation.py"}], "after_files": [{"content": "# global\r\nimport ivy\r\nfrom ivy.func_wrapper import with_unsupported_dtypes\r\nfrom .tensor import Tensor\r\nfrom ivy.functional.frontends.paddle.func_wrapper import (\r\n    to_ivy_arrays_and_back,\r\n)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef to_tensor(data, /, *, dtype=None, place=None, stop_gradient=True):\r\n    array = ivy.array(data, dtype=dtype, device=place)\r\n    return Tensor(array, dtype=dtype, place=place)\r\n\r\n\r\n@with_unsupported_dtypes({\"2.4.2 and below\": \"int8\"}, \"paddle\")\r\n@to_ivy_arrays_and_back\r\ndef ones(shape, /, *, dtype=None, name=None):\r\n    dtype = \"float32\" if dtype is None else dtype\r\n    return ivy.ones(shape, dtype=dtype)\r\n\r\n\r\n@with_unsupported_dtypes(\r\n    {\"2.4.2 and below\": (\"uint8\", \"int8\", \"complex64\", \"complex128\")}, \"paddle\"\r\n)\r\n@to_ivy_arrays_and_back\r\ndef ones_like(x, /, *, dtype=None, name=None):\r\n    dtype = x.dtype if dtype is None else dtype\r\n    return ivy.ones_like(x, dtype=dtype)\r\n\r\n\r\n@with_unsupported_dtypes({\"2.4.2 and below\": \"int8\"}, \"paddle\")\r\n@to_ivy_arrays_and_back\r\ndef zeros(shape, /, *, dtype=None, name=None):\r\n    dtype = \"float32\" if dtype is None else dtype\r\n    return ivy.zeros(shape, dtype=dtype)\r\n\r\n\r\n@with_unsupported_dtypes(\r\n    {\"2.4.2 and below\": (\"uint8\", \"int8\", \"complex64\", \"complex128\")}, \"paddle\"\r\n)\r\n@to_ivy_arrays_and_back\r\ndef zeros_like(x, /, *, dtype=None, name=None):\r\n    dtype = x.dtype if dtype is None else dtype\r\n    return ivy.zeros_like(x, dtype=dtype)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef full(shape, fill_value, /, *, dtype=None, name=None):\r\n    dtype = \"float32\" if dtype is None else dtype\r\n    return ivy.full(shape, fill_value, dtype=dtype)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef full_like(x, fill_value, /, *, dtype=None, name=None):\r\n    dtype = x.dtype if dtype is None else dtype\r\n    return ivy.full_like(x, fill_value, dtype=dtype)\r\n\r\n\r\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\r\n@to_ivy_arrays_and_back\r\ndef arange(start, end=None, step=1, dtype=None, name=None):\r\n    return ivy.arange(start, end, step=step, dtype=dtype)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef empty(shape, dtype=None):\r\n    return ivy.empty(shape=shape, dtype=dtype)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef eye(num_rows, num_columns=None, dtype=None, name=None):\r\n    return ivy.eye(num_rows, num_columns, dtype=dtype)\r\n\r\n\r\n@to_ivy_arrays_and_back\r\ndef empty_like(x, dtype=None, name=None):\r\n    return ivy.empty_like(x, dtype=dtype)\r\n", "path": "ivy/functional/frontends/paddle/tensor/creation.py"}]}