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()

```

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)

{"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"}]}