feat: added unstack function to paddle tensor class

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

@@ -945,3 +945,6 @@ def gather_(self, y, name=None):
     )
     def tile(self, repeat_times):
         return paddle_frontend.Tensor(ivy.tile(self._ivy_array, repeats=repeat_times))
+
+    def unstack(self, axis=0, num=None):
+        return paddle_frontend.unstack(self._ivy_array, axis=axis)

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

@@ -4888,6 +4888,52 @@ def test_paddle_unsqueeze_(
     )
 
 
+# unstack
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="unstack",
+    dtype_value=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("numeric"),
+        min_num_dims=2,
+        max_num_dims=2,
+        max_dim_size=1,
+    ),
+    axis=helpers.get_axis(
+        shape=st.shared(helpers.get_shape(), key="shape"),
+        allow_neg=True,
+        force_int=True,
+    ),
+)
+def test_paddle_tensor_unstack(
+    dtype_value,
+    axis,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtype_value
+    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={
+            "axis": axis,
+        },
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # var
 @handle_frontend_method(
     class_tree=CLASS_TREE,