Skip `test_multi_gpu_data_parallel_forward` for some model tests (#21991)

skip test_multi_gpu_data_parallel_forward for some model tests
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/conditional_detr/test_modeling_conditional_detr.py

@@ -247,6 +247,11 @@ class ConditionalDetrModelTest(ModelTesterMixin, GenerationTesterMixin, Pipeline
         config_and_inputs = self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_no_timm_backbone(*config_and_inputs)
 
+    # TODO: check if this works again for PyTorch 2.x.y
+    @unittest.skip(reason="Got `CUDA error: misaligned address` with PyTorch 2.0.0.")
+    def test_multi_gpu_data_parallel_forward(self):
+        pass
+
     @unittest.skip(reason="Conditional DETR does not use inputs_embeds")
     def test_inputs_embeds(self):
         pass

tests/models/detr/test_modeling_detr.py

@@ -246,6 +246,11 @@ class DetrModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
         config_and_inputs = self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_no_timm_backbone(*config_and_inputs)
 
+    # TODO: check if this works again for PyTorch 2.x.y
+    @unittest.skip(reason="Got `CUDA error: misaligned address` with PyTorch 2.0.0.")
+    def test_multi_gpu_data_parallel_forward(self):
+        pass
+
     @unittest.skip(reason="DETR does not use inputs_embeds")
     def test_inputs_embeds(self):
         pass

tests/models/swin/test_modeling_swin.py

@@ -261,6 +261,11 @@ class SwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_model(*config_and_inputs)
 
+    # TODO: check if this works again for PyTorch 2.x.y
+    @unittest.skip(reason="Got `CUDA error: misaligned address` with PyTorch 2.0.0.")
+    def test_multi_gpu_data_parallel_forward(self):
+        pass
+
     @unittest.skipIf(is_torch_less_than_1_9, reason="This test fails for SwinModel when torch < 1.9")
     def test_training_gradient_checkpointing(self):
         super().test_training_gradient_checkpointing()

tests/models/swin2sr/test_modeling_swin2sr.py

@@ -186,6 +186,11 @@ class Swin2SRModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
         config_and_inputs = self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_for_image_super_resolution(*config_and_inputs)
 
+    # TODO: check if this works again for PyTorch 2.x.y
+    @unittest.skip(reason="Got `CUDA error: misaligned address` with PyTorch 2.0.0.")
+    def test_multi_gpu_data_parallel_forward(self):
+        pass
+
     @unittest.skip(reason="Swin2SR does not use inputs_embeds")
     def test_inputs_embeds(self):
         pass

tests/models/swinv2/test_modeling_swinv2.py

@@ -202,6 +202,11 @@ class Swinv2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_model(*config_and_inputs)
 
+    # TODO: check if this works again for PyTorch 2.x.y
+    @unittest.skip(reason="Got `CUDA error: misaligned address` with PyTorch 2.0.0.")
+    def test_multi_gpu_data_parallel_forward(self):
+        pass
+
     @unittest.skip(reason="Swinv2 does not use inputs_embeds")
     def test_inputs_embeds(self):
         pass