diff --git a/model_compression_toolkit/core/pytorch/back2framework/pytorch_model_builder.py b/model_compression_toolkit/core/pytorch/back2framework/pytorch_model_builder.py
index 4d22af150..7b96b450e 100644
--- a/model_compression_toolkit/core/pytorch/back2framework/pytorch_model_builder.py
+++ b/model_compression_toolkit/core/pytorch/back2framework/pytorch_model_builder.py
@@ -12,9 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
+import copy
 from abc import abstractmethod
 from functools import partial
-from typing import Tuple, Any, Dict, List, Union, Callable
+from typing import Tuple, Any, Dict, List, Callable
 
 import torch
 import numpy as np
@@ -30,7 +31,6 @@
 from model_compression_toolkit.core.common.user_info import UserInformation
 from model_compression_toolkit.core.pytorch.back2framework.instance_builder import node_builder
 from model_compression_toolkit.core.pytorch.default_framework_info import DEFAULT_PYTORCH_INFO
-from model_compression_toolkit.core.pytorch.pytorch_device_config import get_working_device
 from model_compression_toolkit.core.pytorch.reader.node_holders import DummyPlaceHolder
 from model_compression_toolkit.core.pytorch.utils import to_torch_tensor
 from mct_quantizers.common.constants import ACTIVATION_HOLDER_QUANTIZER
@@ -224,8 +224,10 @@ def __init__(self,
 
         """
         super(PytorchModel, self).__init__()
-        self.graph = graph
-        self.node_sort = list(topological_sort(graph))
+        self.graph = copy.deepcopy(graph)
+        delattr(self.graph, 'tpc')
+
+        self.node_sort = list(topological_sort(self.graph))
         self.node_to_activation_quantization_holder = {}
         self.append2output = append2output
         self.return_float_outputs = return_float_outputs