[run-slow] Fixing minimum

tests/models/base.py

@@ -137,6 +137,7 @@ def test_classification_head(self):
 
         self.assertEqual(cls_probs.shape[1], 10)
 
+    @requires_torch_greater_or_equal("2.0.0")
     def test_save_load_with_hub_mixin(self):
         # instantiate model
         model = smp.create_model(
@@ -172,7 +173,7 @@ def test_save_load_with_hub_mixin(self):
         self.assertIn("my_awesome_metric", readme)
 
     @slow_test
-    @requires_torch_greater_or_equal("2.0.1")
+    @requires_torch_greater_or_equal("2.0.0")
     def test_preserve_forward_output(self):
         from huggingface_hub import hf_hub_download
 

tests/models/test_segformer.py

@@ -3,14 +3,15 @@
 import segmentation_models_pytorch as smp
 
 from tests.models import base
-from tests.utils import slow_test, default_device
+from tests.utils import slow_test, default_device, requires_torch_greater_or_equal
 
 
 @pytest.mark.segformer
 class TestSegformerModel(base.BaseModelTester):
     test_model_type = "segformer"
 
     @slow_test
+    @requires_torch_greater_or_equal("2.0.0")
     def test_load_pretrained(self):
         hub_checkpoint = "smp-hub/segformer-b0-512x512-ade-160k"
 

tests/utils.py

@@ -42,6 +42,6 @@ def requires_torch_greater_or_equal(version: str):
     torch_version = Version(torch.__version__)
     provided_version = Version(version)
     return unittest.skipUnless(
-        torch_version >= provided_version,
+        torch_version < provided_version,
         f"torch version {torch_version} is less than {provided_version}",
     )