fix aggregation

Author: xadupre

_unittests/ut_torch_export_patches/test_patch_transformers.py

@@ -428,6 +428,7 @@ def test_qwen2_5_vl_vision_attention_iteration(self):
                 f"test_qwen2_5_vl_vision_attention_iteration.{exporter}.onnx"
             )
             to_onnx(model, inputs, dynamic_shapes=ds, exporter=exporter, filename=filename)
+            # exporter_kwargs={"report":True} if exporter != "custom" else {}
             self.assert_onnx_disc(
                 f"test_qwen2_5_vl_vision_attention_iteration-{exporter}",
                 onnx.load(filename),

onnx_diagnostic/helpers/log_helper.py

@@ -1053,11 +1053,11 @@ def _fix_aggregation_change(
         if select_agg.shape[0] == 0:
             # nothing to fix
             return data
-        assert select_agg[columns_to_fix].max() <= 1, (
-            f"Column {columns_to_fix!r} has two distinct values at least for one date, "
-            f"max={select_agg[columns_to_fix].max()}\n"
-            f"{select_agg[select_agg[columns_to_fix] > 1]}"
-        )
+        # assert select_agg[columns_to_fix].max() <= 1, (
+        #    f"Column {columns_to_fix!r} has two distinct values at least for one date, "
+        #    f"max={select_agg[columns_to_fix].max()}\n"
+        #    f"{select_agg[select_agg[columns_to_fix] > 1]}"
+        # )
         return res
 
     def _dropna(