diff --git a/py/torch_tensorrt/dynamo/conversion/converter_utils.py b/py/torch_tensorrt/dynamo/conversion/converter_utils.py
index 72846c9007..5a757df23e 100644
--- a/py/torch_tensorrt/dynamo/conversion/converter_utils.py
+++ b/py/torch_tensorrt/dynamo/conversion/converter_utils.py
@@ -175,6 +175,9 @@ def extend_attr_to_tuple(
     """
     if not isinstance(val, (tuple, list)):
         val = (val,) * num_elem
+    elif len(val) == 1:
+        val = (val[0],) * num_elem
+
     if isinstance(val, list):
         val = tuple(val)
     return val
diff --git a/py/torch_tensorrt/dynamo/conversion/impl/conv.py b/py/torch_tensorrt/dynamo/conversion/impl/conv.py
index 78a1276882..285da2a04c 100644
--- a/py/torch_tensorrt/dynamo/conversion/impl/conv.py
+++ b/py/torch_tensorrt/dynamo/conversion/impl/conv.py
@@ -46,7 +46,7 @@ def convNd(
         )
 
     # Process bias terms
-    if isinstance(bias, torch.Tensor):
+    if isinstance(bias, (torch.Tensor, np.ndarray)):
         # Transform the bias constant into a Numpy array
         bias = to_numpy(bias)
 
@@ -67,7 +67,7 @@ def convNd(
                 network, target, (weight, -1), {}, name + "_unsqueeze_weight"
             )
 
-    elif isinstance(weight, torch.Tensor):
+    elif isinstance(weight, (torch.Tensor, np.ndarray)):
         # Transform the weight constant into a Numpy array
         weight = to_numpy(weight)