diff --git a/model_compression_toolkit/core/pytorch/utils.py b/model_compression_toolkit/core/pytorch/utils.py
index 33b8e8d2c..1d40d0793 100644
--- a/model_compression_toolkit/core/pytorch/utils.py
+++ b/model_compression_toolkit/core/pytorch/utils.py
@@ -55,6 +55,8 @@ def to_torch_tensor(tensor):
         return (to_torch_tensor(t) for t in tensor)
     elif isinstance(tensor, np.ndarray):
         return torch.from_numpy(tensor.astype(np.float32)).to(working_device)
+    elif isinstance(tensor, (int, float)):
+        return torch.from_numpy(np.array(tensor).astype(np.float32)).to(working_device)
     else:
         raise Exception(f'Conversion of type {type(tensor)} to {type(torch.Tensor)} is not supported')
 
diff --git a/tests/keras_tests/feature_networks_tests/test_features_runner.py b/tests/keras_tests/feature_networks_tests/test_features_runner.py
index 92b948c77..4d047063d 100644
--- a/tests/keras_tests/feature_networks_tests/test_features_runner.py
+++ b/tests/keras_tests/feature_networks_tests/test_features_runner.py
@@ -547,6 +547,8 @@ def test_const_representation(self):
             ConstRepresentationTest(self, func, c, input_reverse_order=True).run_test()
             ConstRepresentationTest(self, func, c, input_reverse_order=True, use_kwrags=True).run_test()
             ConstRepresentationTest(self, func, c, as_layer=True, use_kwrags=True).run_test()
+            ConstRepresentationTest(self, func, 2.45).run_test()
+            ConstRepresentationTest(self, func, 5.1, input_reverse_order=True).run_test()
 
         c = (np.ones((16,)) + np.random.random((16,))).astype(np.float32).reshape((1, -1))
         for func in [layers.Add(), layers.Multiply(), layers.Subtract()]:
diff --git a/tests/pytorch_tests/model_tests/test_feature_models_runner.py b/tests/pytorch_tests/model_tests/test_feature_models_runner.py
index 7c69af66f..c4e5ac7ea 100644
--- a/tests/pytorch_tests/model_tests/test_feature_models_runner.py
+++ b/tests/pytorch_tests/model_tests/test_feature_models_runner.py
@@ -120,7 +120,7 @@ def test_conv2d_replacement(self):
 
     def test_add_net(self):
         """
-        This tests check the addition and subtraction operations.
+        This test checks the addition and subtraction operations.
         Both with different layers and with constants.
         """
         AddNetTest(self).run_test()
@@ -226,6 +226,8 @@ def test_const_representation(self):
         for func in [torch.add, torch.sub, torch.mul, torch.div]:
             ConstRepresentationTest(self, func, c).run_test()
             ConstRepresentationTest(self, func, c, input_reverse_order=True).run_test()
+            ConstRepresentationTest(self, func, 2.45).run_test()
+            ConstRepresentationTest(self, func, 5, input_reverse_order=True).run_test()
 
         ConstRepresentationMultiInputTest(self).run_test()