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


--- 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/manipulation.py`
Content:
```
1 # global
2 import ivy
3 from ivy.functional.frontends.paddle.func_wrapper import (
4     to_ivy_arrays_and_back,
5 )
6 from ivy.func_wrapper import (
7     with_unsupported_dtypes,
8     with_supported_dtypes,
9     with_supported_device_and_dtypes,
10 )
11 
12 
13 @to_ivy_arrays_and_back
14 def reshape(x, shape):
15     return ivy.reshape(x, shape)
16 
17 
18 @with_unsupported_dtypes({"2.5.1 and below": ("float16", "bfloat16")}, "paddle")
19 @to_ivy_arrays_and_back
20 def abs(x, name=None):
21     return ivy.abs(x)
22 
23 
24 absolute = abs
25 
26 
27 @to_ivy_arrays_and_back
28 def stack(x, axis=0, name=None):
29     return ivy.stack(x, axis=axis)
30 
31 
32 @with_unsupported_dtypes({"2.5.1 and below": ("int8", "int16")}, "paddle")
33 @to_ivy_arrays_and_back
34 def concat(x, axis, name=None):
35     return ivy.concat(x, axis=axis)
36 
37 
38 @with_unsupported_dtypes(
39     {"2.5.1 and below": ("int8", "uint8", "int16", "float16")},
40     "paddle",
41 )
42 @to_ivy_arrays_and_back
43 def tile(x, repeat_times, name=None):
44     return ivy.tile(x, repeats=repeat_times)
45 
46 
47 @with_unsupported_dtypes(
48     {"2.5.1 and below": ("int8", "uint8", "int16", "float16")},
49     "paddle",
50 )
51 @to_ivy_arrays_and_back
52 def flip(x, axis, name=None):
53     return ivy.flip(x, axis=axis)
54 
55 
56 @with_unsupported_dtypes(
57     {"2.5.1 and below": ("int16", "complex64", "complex128")},
58     "paddle",
59 )
60 @to_ivy_arrays_and_back
61 def split(x, num_or_sections, axis=0, name=None):
62     return ivy.split(x, num_or_size_splits=num_or_sections, axis=axis)
63 
64 
65 @with_unsupported_dtypes(
66     {"2.5.1 and below": ("float16", "bfloat16", "int8", "int16")},
67     "paddle",
68 )
69 @to_ivy_arrays_and_back
70 def squeeze(x, axis=None, name=None):
71     return ivy.squeeze(x, axis=axis)
72 
73 
74 @with_supported_dtypes(
75     {"2.5.1 and below": ("bool", "float32", "float64", "int32", "int64")},
76     "paddle",
77 )
78 @to_ivy_arrays_and_back
79 def expand(x, shape, name=None):
80     return ivy.expand(x, shape)
81 
82 
83 @with_supported_dtypes(
84     {
85         "2.5.1 and below": (
86             "bool",
87             "float16",
88             "float32",
89             "float64",
90             "int32",
91             "int64",
92             "uint8",
93         )
94     },
95     "paddle",
96 )
97 @to_ivy_arrays_and_back
98 def cast(x, dtype):
99     return ivy.astype(x, dtype)
100 
101 
102 @with_supported_dtypes(
103     {"2.5.1 and below": ("bool", "float32", "float64", "int32", "int64")},
104     "paddle",
105 )
106 @to_ivy_arrays_and_back
107 def broadcast_to(x, shape, name=None):
108     return ivy.broadcast_to(x, shape)
109 
110 
111 @with_supported_dtypes(
112     {"2.5.1 and below": ("bool", "float32", "float64", "int32", "int64")},
113     "paddle",
114 )
115 @to_ivy_arrays_and_back
116 def gather(params, indices, axis=-1, batch_dims=0, name=None):
117     return ivy.gather(params, indices, axis=axis, batch_dims=batch_dims)
118 
119 
120 @with_supported_dtypes(
121     {
122         "2.5.0 and below": (
123             "float32",
124             "float64",
125             "int32",
126             "int64",
127             "complex64",
128             "complex128",
129         )
130     },
131     "paddle",
132 )
133 @to_ivy_arrays_and_back
134 def roll(x, shifts, axis=None, name=None):
135     return ivy.roll(x, shifts, axis=axis)
136 
137 
138 @with_supported_dtypes(
139     {
140         "2.5.1 and below": (
141             "float32",
142             "float64",
143             "int32",
144             "int64",
145         )
146     },
147     "paddle",
148 )
149 @to_ivy_arrays_and_back
150 def take_along_axis(arr, indices, axis):
151     return ivy.take_along_axis(arr, indices, axis)
152 
153 
154 @with_supported_device_and_dtypes(
155     {
156         "2.5.1 and above": {
157             "cpu": (
158                 "bool",
159                 "int32",
160                 "int64",
161                 "float32",
162                 "float64",
163             ),
164             "gpu": ("float16",),
165         },
166     },
167     "paddle",
168 )
169 @to_ivy_arrays_and_back
170 def rot90(x, k=1, axes=(0, 1), name=None):
171     return ivy.rot90(x, k=k, axes=axes)
172
```
--- 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/manipulation.py b/ivy/functional/frontends/paddle/tensor/manipulation.py
--- a/ivy/functional/frontends/paddle/tensor/manipulation.py
+++ b/ivy/functional/frontends/paddle/tensor/manipulation.py
@@ -15,6 +15,17 @@
     return ivy.reshape(x, shape)
 
 
+@with_unsupported_dtypes(
+    {"2.5.1 and below": ("int8", "uint8", "int16", "uint16", "float16", "bfloat16")},
+    "paddle",
+)
+@to_ivy_arrays_and_back
+def reshape_(x, shape):
+    ret = ivy.reshape(x, shape)
+    ivy.inplace_update(x, ret)
+    return x
+
+
 @with_unsupported_dtypes({"2.5.1 and below": ("float16", "bfloat16")}, "paddle")
 @to_ivy_arrays_and_back
 def abs(x, name=None):

{"golden_diff": "diff --git a/ivy/functional/frontends/paddle/tensor/manipulation.py b/ivy/functional/frontends/paddle/tensor/manipulation.py\n--- a/ivy/functional/frontends/paddle/tensor/manipulation.py\n+++ b/ivy/functional/frontends/paddle/tensor/manipulation.py\n@@ -15,6 +15,17 @@\n     return ivy.reshape(x, shape)\n \n \n+@with_unsupported_dtypes(\n+    {\"2.5.1 and below\": (\"int8\", \"uint8\", \"int16\", \"uint16\", \"float16\", \"bfloat16\")},\n+    \"paddle\",\n+)\n+@to_ivy_arrays_and_back\n+def reshape_(x, shape):\n+    ret = ivy.reshape(x, shape)\n+    ivy.inplace_update(x, ret)\n+    return x\n+\n+\n @with_unsupported_dtypes({\"2.5.1 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n @to_ivy_arrays_and_back\n def abs(x, name=None):\n", "issue": "reshape_\n\n", "before_files": [{"content": "# global\nimport ivy\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\nfrom ivy.func_wrapper import (\n    with_unsupported_dtypes,\n    with_supported_dtypes,\n    with_supported_device_and_dtypes,\n)\n\n\n@to_ivy_arrays_and_back\ndef reshape(x, shape):\n    return ivy.reshape(x, shape)\n\n\n@with_unsupported_dtypes({\"2.5.1 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef abs(x, name=None):\n    return ivy.abs(x)\n\n\nabsolute = abs\n\n\n@to_ivy_arrays_and_back\ndef stack(x, axis=0, name=None):\n    return ivy.stack(x, axis=axis)\n\n\n@with_unsupported_dtypes({\"2.5.1 and below\": (\"int8\", \"int16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef concat(x, axis, name=None):\n    return ivy.concat(x, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.1 and below\": (\"int8\", \"uint8\", \"int16\", \"float16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef tile(x, repeat_times, name=None):\n    return ivy.tile(x, repeats=repeat_times)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.1 and below\": (\"int8\", \"uint8\", \"int16\", \"float16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef flip(x, axis, name=None):\n    return ivy.flip(x, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.1 and below\": (\"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef split(x, num_or_sections, axis=0, name=None):\n    return ivy.split(x, num_or_size_splits=num_or_sections, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.1 and below\": (\"float16\", \"bfloat16\", \"int8\", \"int16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef squeeze(x, axis=None, name=None):\n    return ivy.squeeze(x, axis=axis)\n\n\n@with_supported_dtypes(\n    {\"2.5.1 and below\": (\"bool\", \"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef expand(x, shape, name=None):\n    return ivy.expand(x, shape)\n\n\n@with_supported_dtypes(\n    {\n        \"2.5.1 and below\": (\n            \"bool\",\n            \"float16\",\n            \"float32\",\n            \"float64\",\n            \"int32\",\n            \"int64\",\n            \"uint8\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef cast(x, dtype):\n    return ivy.astype(x, dtype)\n\n\n@with_supported_dtypes(\n    {\"2.5.1 and below\": (\"bool\", \"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef broadcast_to(x, shape, name=None):\n    return ivy.broadcast_to(x, shape)\n\n\n@with_supported_dtypes(\n    {\"2.5.1 and below\": (\"bool\", \"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef gather(params, indices, axis=-1, batch_dims=0, name=None):\n    return ivy.gather(params, indices, axis=axis, batch_dims=batch_dims)\n\n\n@with_supported_dtypes(\n    {\n        \"2.5.0 and below\": (\n            \"float32\",\n            \"float64\",\n            \"int32\",\n            \"int64\",\n            \"complex64\",\n            \"complex128\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef roll(x, shifts, axis=None, name=None):\n    return ivy.roll(x, shifts, axis=axis)\n\n\n@with_supported_dtypes(\n    {\n        \"2.5.1 and below\": (\n            \"float32\",\n            \"float64\",\n            \"int32\",\n            \"int64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef take_along_axis(arr, indices, axis):\n    return ivy.take_along_axis(arr, indices, axis)\n\n\n@with_supported_device_and_dtypes(\n    {\n        \"2.5.1 and above\": {\n            \"cpu\": (\n                \"bool\",\n                \"int32\",\n                \"int64\",\n                \"float32\",\n                \"float64\",\n            ),\n            \"gpu\": (\"float16\",),\n        },\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef rot90(x, k=1, axes=(0, 1), name=None):\n    return ivy.rot90(x, k=k, axes=axes)\n", "path": "ivy/functional/frontends/paddle/tensor/manipulation.py"}], "after_files": [{"content": "# global\nimport ivy\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\nfrom ivy.func_wrapper import (\n    with_unsupported_dtypes,\n    with_supported_dtypes,\n    with_supported_device_and_dtypes,\n)\n\n\n@to_ivy_arrays_and_back\ndef reshape(x, shape):\n    return ivy.reshape(x, shape)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.1 and below\": (\"int8\", \"uint8\", \"int16\", \"uint16\", \"float16\", \"bfloat16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef reshape_(x, shape):\n    ret = ivy.reshape(x, shape)\n    ivy.inplace_update(x, ret)\n    return x\n\n\n@with_unsupported_dtypes({\"2.5.1 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef abs(x, name=None):\n    return ivy.abs(x)\n\n\nabsolute = abs\n\n\n@to_ivy_arrays_and_back\ndef stack(x, axis=0, name=None):\n    return ivy.stack(x, axis=axis)\n\n\n@with_unsupported_dtypes({\"2.5.1 and below\": (\"int8\", \"int16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef concat(x, axis, name=None):\n    return ivy.concat(x, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.1 and below\": (\"int8\", \"uint8\", \"int16\", \"float16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef tile(x, repeat_times, name=None):\n    return ivy.tile(x, repeats=repeat_times)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.1 and below\": (\"int8\", \"uint8\", \"int16\", \"float16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef flip(x, axis, name=None):\n    return ivy.flip(x, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.1 and below\": (\"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef split(x, num_or_sections, axis=0, name=None):\n    return ivy.split(x, num_or_size_splits=num_or_sections, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.1 and below\": (\"float16\", \"bfloat16\", \"int8\", \"int16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef squeeze(x, axis=None, name=None):\n    return ivy.squeeze(x, axis=axis)\n\n\n@with_supported_dtypes(\n    {\"2.5.1 and below\": (\"bool\", \"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef expand(x, shape, name=None):\n    return ivy.expand(x, shape)\n\n\n@with_supported_dtypes(\n    {\n        \"2.5.1 and below\": (\n            \"bool\",\n            \"float16\",\n            \"float32\",\n            \"float64\",\n            \"int32\",\n            \"int64\",\n            \"uint8\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef cast(x, dtype):\n    return ivy.astype(x, dtype)\n\n\n@with_supported_dtypes(\n    {\"2.5.1 and below\": (\"bool\", \"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef broadcast_to(x, shape, name=None):\n    return ivy.broadcast_to(x, shape)\n\n\n@with_supported_dtypes(\n    {\"2.5.1 and below\": (\"bool\", \"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef gather(params, indices, axis=-1, batch_dims=0, name=None):\n    return ivy.gather(params, indices, axis=axis, batch_dims=batch_dims)\n\n\n@with_supported_dtypes(\n    {\n        \"2.5.0 and below\": (\n            \"float32\",\n            \"float64\",\n            \"int32\",\n            \"int64\",\n            \"complex64\",\n            \"complex128\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef roll(x, shifts, axis=None, name=None):\n    return ivy.roll(x, shifts, axis=axis)\n\n\n@with_supported_dtypes(\n    {\n        \"2.5.1 and below\": (\n            \"float32\",\n            \"float64\",\n            \"int32\",\n            \"int64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef take_along_axis(arr, indices, axis):\n    return ivy.take_along_axis(arr, indices, axis)\n\n\n@with_supported_device_and_dtypes(\n    {\n        \"2.5.1 and above\": {\n            \"cpu\": (\n                \"bool\",\n                \"int32\",\n                \"int64\",\n                \"float32\",\n                \"float64\",\n            ),\n            \"gpu\": (\"float16\",),\n        },\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef rot90(x, k=1, axes=(0, 1), name=None):\n    return ivy.rot90(x, k=k, axes=axes)\n", "path": "ivy/functional/frontends/paddle/tensor/manipulation.py"}]}