added round inplace function (ivy-llc#22275)

Co-authored-by: sherry30 <sherrytst30@gmail.com>

ivy/functional/frontends/paddle/tensor/math.py

@@ -108,6 +108,12 @@ def round(x, name=None):
     return ivy.round(x)
 
 
+@with_unsupported_dtypes({"2.5.1 and below": ("float16", "bfloat16")}, "paddle")
+@to_ivy_arrays_and_back
+def round_(x, name=None):
+    return ivy.inplace_update(x, round(x))
+
+
 @with_unsupported_dtypes({"2.5.1 and below": ("float16", "bfloat16")}, "paddle")
 @to_ivy_arrays_and_back
 def ceil(x, name=None):
@@ -400,6 +406,11 @@ def rsqrt(x, name=None):
     return 1 / ivy.sqrt(x)
 
 
+@with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
+def rsqrt_(x, name=None):
+    return ivy.inplace_update(x, ivy.reciprocal(ivy.inplace_update(x, ivy.sqrt(x))))
+
+
 @with_supported_dtypes(
     {"2.5.1 and below": ("float32", "float64", "int32", "int64")}, "paddle"
 )

ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_math.py

@@ -492,6 +492,35 @@ def test_paddle_round(
     )
 
 
+# round_
+@handle_frontend_test(
+    fn_tree="paddle.tensor.math.round_",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_value=1,
+    ),
+)
+def test_paddle_round_(
+    *,
+    dtype_and_x,
+    frontend,
+    test_flags,
+    fn_tree,
+    backend_fw,
+    on_device,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        x=x[0],
+    )
+
+
 # ceil
 @handle_frontend_test(
     fn_tree="paddle.tensor.math.ceil",
@@ -1748,6 +1777,34 @@ def test_paddle_rsqrt(
     )
 
 
+# rsqrt_
+@handle_frontend_test(
+    fn_tree="paddle.tensor.math.rsqrt_",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+    ),
+)
+def test_paddle_rsqrt_(
+    *,
+    dtype_and_x,
+    frontend,
+    test_flags,
+    fn_tree,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        x=x[0],
+    )
+
+
 # prod
 @handle_frontend_test(
     fn_tree="paddle.tensor.math.prod",