diff --git a/nn_meter/builder/backend_meta/fusion_rule_tester/generate_testcase.py b/nn_meter/builder/backend_meta/fusion_rule_tester/generate_testcase.py
index 9a9633aa..e0c48860 100644
--- a/nn_meter/builder/backend_meta/fusion_rule_tester/generate_testcase.py
+++ b/nn_meter/builder/backend_meta/fusion_rule_tester/generate_testcase.py
@@ -79,7 +79,10 @@ def generate_testcases():
             if op1 in d1_required_layers or op2 in d1_required_layers:
                 input_shape = [config['SHAPE_1D']]
             else:
-                input_shape = [config['HW'], config['HW'], config['CIN']]
+                if implement == "tensorflow":
+                    input_shape = [config['HW'], config['HW'], config['CIN']]
+                else:
+                    input_shape = [config['CIN'], config['HW'], config['HW']]
             bf_cls = type(class_name, (BasicFusion,), {
                 'name': name,
                 'cases': cases,
diff --git a/nn_meter/builder/backend_meta/fusion_rule_tester/interface.py b/nn_meter/builder/backend_meta/fusion_rule_tester/interface.py
index b63dbc00..855ae1f3 100644
--- a/nn_meter/builder/backend_meta/fusion_rule_tester/interface.py
+++ b/nn_meter/builder/backend_meta/fusion_rule_tester/interface.py
@@ -6,6 +6,7 @@
 from ..utils import read_profiled_results
 from nn_meter.builder.utils import merge_info
 from nn_meter.builder.backend_meta.utils import Latency
+logging = logging.getLogger("nn-Meter")
 
 
 class BaseTestCase:
diff --git a/nn_meter/builder/backend_meta/fusion_rule_tester/test_fusion_rule.py b/nn_meter/builder/backend_meta/fusion_rule_tester/test_fusion_rule.py
index b4fb323f..5b2367de 100644
--- a/nn_meter/builder/backend_meta/fusion_rule_tester/test_fusion_rule.py
+++ b/nn_meter/builder/backend_meta/fusion_rule_tester/test_fusion_rule.py
@@ -53,6 +53,6 @@ def analyze(self, profile_results):
                     latency = {key: str(value) for key, value in rule.latency.items()}
                     result[name]['latency'] = latency
 
-            result[name]['obey'] = obey
+            result[name]['obey'] = bool(obey)
 
         return result
diff --git a/nn_meter/builder/config_manager.py b/nn_meter/builder/config_manager.py
index 192c027d..915bf719 100644
--- a/nn_meter/builder/config_manager.py
+++ b/nn_meter/builder/config_manager.py
@@ -17,8 +17,9 @@ def copy_to_workspace(backend_type, workspace_path, backendConfigFile = None):
     os.makedirs(os.path.join(workspace_path, 'configs'), exist_ok=True)
 
     # backend config
-    if backend_type == 'customized' and backendConfigFile:
-        copyfile(backendConfigFile, os.path.join(workspace_path, 'configs', 'backend_config.yaml'))
+    if backend_type == 'customized':
+        if backendConfigFile:
+            copyfile(backendConfigFile, os.path.join(workspace_path, 'configs', 'backend_config.yaml'))
     else:
         if backend_type == 'tflite':
             config_name = __backend_tflite_cfg_filename__
diff --git a/nn_meter/builder/nn_modules/torch_networks/operators.py b/nn_meter/builder/nn_modules/torch_networks/operators.py
index a40e46b8..053603e4 100644
--- a/nn_meter/builder/nn_modules/torch_networks/operators.py
+++ b/nn_meter/builder/nn_modules/torch_networks/operators.py
@@ -128,13 +128,13 @@ def forward(self, x):
 
 class FC(BaseOperator):
     def get_model(self):
-        cin = self.input_shape[0]
-        cout = self.input_shape[0] if "COUT" not in self.config else self.config["COUT"]
+        cin = self.input_shape[-1]
+        cout = self.input_shape[-1] if "COUT" not in self.config else self.config["COUT"]
         return nn.Linear(cin, cout)
 
     def get_output_shape(self):
-        cout = self.input_shape[0] if "COUT" not in self.config else self.config["COUT"]
-        return [cout] + self.input_shape[1:]
+        cout = self.input_shape[-1] if "COUT" not in self.config else self.config["COUT"]
+        return self.input_shape[:-1] + [cout]
 
 #-------------------- activation function --------------------#