skip failing onnx export test for torch<2.8

Author: FynnBe

pyproject.toml

@@ -70,7 +70,7 @@ dev = [
     "segment-anything",  # for model testing
     "tensorflow",
     "timm",              # for model testing
-    "torch>=2.8,<3",
+    "torch>=1.6,<3",
     "torchvision>=0.21",
 ]
 

tests/test_weight_converters.py

@@ -27,6 +27,11 @@ def test_pytorch_to_torchscript(any_torch_model, tmp_path):
 
 
 def test_pytorch_to_onnx(convert_to_onnx, tmp_path):
+    import torch
+
+    if tuple(map(int, torch.__version__.split(".")[:2])) < (2, 8):
+        pytest.skip("torch>=2.8 is required for sufficient torch dynamo support")
+
     from bioimageio.core import test_model
     from bioimageio.core.weight_converters.pytorch_to_onnx import convert