feat: added lcm method to paddle tensor class

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

@@ -798,3 +798,7 @@ def real(self, name=None):
     )
     def cast(self, dtype):
         return paddle_frontend.cast(self, dtype)
+
+    @with_supported_dtypes({"2.5.1 and below": ("int32", "int64")}, "paddle")
+    def lcm(self, y, name=None):
+        return paddle_frontend.lcm(self._ivy_array, y)

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

@@ -2388,6 +2388,44 @@ def test_paddle_tensor_isnan(
     )
 
 
+# lcm
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="lcm",
+    dtypes_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+        num_arrays=2,
+        min_num_dims=1,
+        safety_factor_scale="log",
+        large_abs_safety_factor=2,
+        shared_dtype=True,
+    ),
+)
+def test_paddle_tensor_lcm(
+    dtypes_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtypes_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        init_all_as_kwargs_np={"data": x[0]},
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={"y": x[1]},
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # lerp
 @handle_frontend_method(
     class_tree=CLASS_TREE,