diff --git a/src/brevitas/nn/quant_conv.py b/src/brevitas/nn/quant_conv.py
index 5c6c5afea..18fb3282e 100644
--- a/src/brevitas/nn/quant_conv.py
+++ b/src/brevitas/nn/quant_conv.py
@@ -46,7 +46,7 @@ def __init__(
             dtype: Optional[torch.dtype] = None,
             **kwargs) -> None:
         # avoid an init error in the super class by setting padding to 0
-        if padding_mode == 'zeros' and padding == 'same' and any(map(lambda x: x > 1, stride)):
+        if padding_mode == 'zeros' and padding == 'same' and any(map(lambda x: x > 1, list(stride))):
             padding = 0
             is_same_padded_strided = True
         else:
@@ -132,7 +132,7 @@ def __init__(
             dtype: Optional[torch.dtype] = None,
             **kwargs) -> None:
         # avoid an init error in the super class by setting padding to 0
-        if padding_mode == 'zeros' and padding == 'same' and any(map(lambda x: x > 1, stride)):
+        if padding_mode == 'zeros' and padding == 'same' and any(map(lambda x: x > 1, list(stride))):
             padding = 0
             is_same_padded_strided = True
         else:
@@ -220,7 +220,7 @@ def __init__(
             dtype: Optional[torch.dtype] = None,
             **kwargs) -> None:
         # avoid an init error in the super class by setting padding to 0
-        if padding_mode == 'zeros' and padding == 'same' and any(map(lambda x: x > 1, stride)):
+        if padding_mode == 'zeros' and padding == 'same' and any(map(lambda x: x > 1, list(stride))):
             padding = 0
             is_same_padded_strided = True
         else: