diff --git a/ivy/__init__.py b/ivy/__init__.py
index 00e5039fd4099..d40ab10bfb12d 100644
--- a/ivy/__init__.py
+++ b/ivy/__init__.py
@@ -287,11 +287,20 @@ def __radd__(self, other):
         return self
 
     def __mul__(self, other):
-        self._shape = self._shape * other
+        if ivy.current_backend_str() == "tensorflow":
+            shape_tup = builtins.tuple(self._shape) * other
+            self._shape = ivy.to_native_shape(shape_tup)
+        else:
+            self._shape = self._shape * other
         return self
 
     def __rmul__(self, other):
-        self._shape = other * self._shape
+        # handle tensorflow case as tf.TensorShape doesn't support multiplications
+        if ivy.current_backend_str() == "tensorflow":
+            shape_tup = other * builtins.tuple(self._shape)
+            self._shape = ivy.to_native_shape(shape_tup)
+        else:
+            self._shape = other * self._shape
         return self
 
     def __bool__(self):
diff --git a/ivy_tests/test_ivy/test_misc/test_shape.py b/ivy_tests/test_ivy/test_misc/test_shape.py
index c42f74180293f..72f60d5209cc9 100644
--- a/ivy_tests/test_ivy/test_misc/test_shape.py
+++ b/ivy_tests/test_ivy/test_misc/test_shape.py
@@ -424,18 +424,14 @@ def test_shape__mod__(
 
 
 @handle_method(
+    init_tree=CLASS_TREE,
     method_tree="Shape.__mul__",
-    dtype_and_x=helpers.dtype_and_values(
-        available_dtypes=helpers.get_dtypes("numeric"),
-        num_arrays=2,
-        large_abs_safety_factor=2.5,
-        small_abs_safety_factor=2.5,
-        safety_factor_scale="log",
-        shared_dtype=True,
-    ),
+    shape=helpers.get_shape(),
+    other=st.integers(min_value=1, max_value=10),
 )
 def test_shape__mul__(
-    dtype_and_x,
+    shape,
+    other,
     method_name,
     class_name,
     backend_fw,
@@ -444,17 +440,16 @@ def test_shape__mul__(
     method_flags,
     on_device,
 ):
-    dtype, x = dtype_and_x
     helpers.test_method(
         on_device=on_device,
         ground_truth_backend=ground_truth_backend,
         backend_to_test=backend_fw,
         init_flags=init_flags,
         method_flags=method_flags,
-        init_all_as_kwargs_np={"data": x[0]},
-        init_input_dtypes=dtype,
-        method_input_dtypes=dtype,
-        method_all_as_kwargs_np={"other": x[1]},
+        init_all_as_kwargs_np={"shape_tup": shape},
+        init_input_dtypes=DUMMY_DTYPE,
+        method_input_dtypes=DUMMY_DTYPE,
+        method_all_as_kwargs_np={"other": other},
         class_name=class_name,
         method_name=method_name,
     )
@@ -569,18 +564,14 @@ def test_shape__rmod__(
 
 
 @handle_method(
+    init_tree=CLASS_TREE,
     method_tree="Shape.__rmul__",
-    dtype_and_x=helpers.dtype_and_values(
-        available_dtypes=helpers.get_dtypes("numeric"),
-        num_arrays=2,
-        large_abs_safety_factor=2.5,
-        small_abs_safety_factor=2.5,
-        safety_factor_scale="log",
-        shared_dtype=True,
-    ),
+    shape=helpers.get_shape(),
+    other=st.integers(min_value=1, max_value=10),
 )
 def test_shape__rmul__(
-    dtype_and_x,
+    shape,
+    other,
     method_name,
     class_name,
     ground_truth_backend,
@@ -589,17 +580,16 @@ def test_shape__rmul__(
     method_flags,
     on_device,
 ):
-    dtype, x = dtype_and_x
     helpers.test_method(
         on_device=on_device,
         ground_truth_backend=ground_truth_backend,
         backend_to_test=backend_fw,
         init_flags=init_flags,
         method_flags=method_flags,
-        init_all_as_kwargs_np={"data": x[0]},
-        init_input_dtypes=dtype,
-        method_input_dtypes=dtype,
-        method_all_as_kwargs_np={"other": x[1]},
+        init_all_as_kwargs_np={"shape_tup": shape},
+        init_input_dtypes=DUMMY_DTYPE,
+        method_input_dtypes=DUMMY_DTYPE,
+        method_all_as_kwargs_np={"other": other},
         class_name=class_name,
         method_name=method_name,
     )