diff --git a/onnxslim/core/optimizer.py b/onnxslim/core/optimizer.py
index 7b0a18d..23c6565 100644
--- a/onnxslim/core/optimizer.py
+++ b/onnxslim/core/optimizer.py
@@ -162,6 +162,7 @@ def graph_constant_fold_inplace(graph):
                     delete_node(node, idx)
                     logger.debug(f"removing Add op: {node.name}")
         elif node.op == "Expand":
+            # tests/test_onnx_nets.py::TestTimmClass::test_timm[lambda_resnet26rpt_256]
             if len(node.inputs) > 1 and isinstance(node.inputs[1], Constant) and np.all(node.inputs[1].values == 1):
                 delete_node(node)
                 logger.debug(f"removing Expand op: {node.name}")
@@ -179,10 +180,10 @@ class PadConvMatcher(PatternMatcher):
     def __init__(self, priority):
         pattern = Pattern(
             """
-            input  input  0 1 pad_0
+            input  input  0  1 pad_0
             Pad    pad_0  1+ 1 input conv_0
             Conv   conv_0 1+ 1 pad_0 output
-            output output 1 0 conv_0
+            output output 1  0 conv_0
             """
         )
         super().__init__(pattern, priority)
@@ -252,10 +253,10 @@ class ConvBatchNormMatcher(PatternMatcher):
     def __init__(self, priority):
         pattern = Pattern(
             """
-            input              input  0 1 conv_0
-            Conv               conv_0 3 1 input ? ? bn_0
-            BatchNormalization bn_0   5 1 conv_0 ? ? ? ? output
-            output             output 1 0 bn_0
+            input              input  0  1 conv_0
+            Conv               conv_0 1+ 1 input bn_0
+            BatchNormalization bn_0   5  1 conv_0 ? ? ? ? output
+            output             output 1  0 bn_0
             """
         )
         super().__init__(pattern, priority)
@@ -335,7 +336,7 @@ def __init__(self, priority):
             input  input   0 1 slice_0
             Slice  slice_0 5 1 input   ? ? ? ? slice_1
             Slice  slice_1 5 1 slice_0 ? ? ? ? output
-            output output 1 0 slice_1
+            output output  1 0 slice_1
             """
         )  # to check here slice_0
         super().__init__(pattern, priority)
@@ -434,10 +435,10 @@ class ReshapePatternMatcher(PatternMatcher):
     def __init__(self, priority):
         pattern = Pattern(
             """
-            input    input   0 1 reshape_0
+            input    input     0 1 reshape_0
             Reshape  reshape_0 2 1 input   ? reshape_1
             Reshape  reshape_1 2 1 reshape_0 ? output
-            output   output 1 0 reshape_1
+            output   output    1 0 reshape_1
             """
         )
         super().__init__(pattern, priority)