[tests] Fix how compiler mixin classes are used (huggingface#11680)

* fix how compiler tester mixins are used.

* propagate

* more

Author: sayakpaul

tests/models/transformers/test_models_transformer_flux.py

@@ -78,9 +78,7 @@ def create_flux_ip_adapter_state_dict(model):
     return ip_state_dict
 
 
-class FluxTransformerTests(
-    ModelTesterMixin, TorchCompileTesterMixin, LoraHotSwappingForModelTesterMixin, unittest.TestCase
-):
+class FluxTransformerTests(ModelTesterMixin, unittest.TestCase):
     model_class = FluxTransformer2DModel
     main_input_name = "hidden_states"
     # We override the items here because the transformer under consideration is small.
@@ -169,3 +167,17 @@ def test_deprecated_inputs_img_txt_ids_3d(self):
     def test_gradient_checkpointing_is_applied(self):
         expected_set = {"FluxTransformer2DModel"}
         super().test_gradient_checkpointing_is_applied(expected_set=expected_set)
+
+
+class FluxTransformerCompileTests(TorchCompileTesterMixin, unittest.TestCase):
+    model_class = FluxTransformer2DModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return FluxTransformerTests().prepare_init_args_and_inputs_for_common()
+
+
+class FluxTransformerLoRAHotSwapTests(LoraHotSwappingForModelTesterMixin, unittest.TestCase):
+    model_class = FluxTransformer2DModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return FluxTransformerTests().prepare_init_args_and_inputs_for_common()

tests/models/transformers/test_models_transformer_hunyuan_video.py

@@ -28,7 +28,7 @@
 enable_full_determinism()
 
 
-class HunyuanVideoTransformer3DTests(ModelTesterMixin, TorchCompileTesterMixin, unittest.TestCase):
+class HunyuanVideoTransformer3DTests(ModelTesterMixin, unittest.TestCase):
     model_class = HunyuanVideoTransformer3DModel
     main_input_name = "hidden_states"
     uses_custom_attn_processor = True
@@ -93,7 +93,14 @@ def test_gradient_checkpointing_is_applied(self):
         super().test_gradient_checkpointing_is_applied(expected_set=expected_set)
 
 
-class HunyuanSkyreelsImageToVideoTransformer3DTests(ModelTesterMixin, TorchCompileTesterMixin, unittest.TestCase):
+class HunyuanTransformerCompileTests(TorchCompileTesterMixin, unittest.TestCase):
+    model_class = HunyuanVideoTransformer3DModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return HunyuanVideoTransformer3DTests().prepare_init_args_and_inputs_for_common()
+
+
+class HunyuanSkyreelsImageToVideoTransformer3DTests(ModelTesterMixin, unittest.TestCase):
     model_class = HunyuanVideoTransformer3DModel
     main_input_name = "hidden_states"
     uses_custom_attn_processor = True
@@ -161,7 +168,14 @@ def test_gradient_checkpointing_is_applied(self):
         super().test_gradient_checkpointing_is_applied(expected_set=expected_set)
 
 
-class HunyuanVideoImageToVideoTransformer3DTests(ModelTesterMixin, TorchCompileTesterMixin, unittest.TestCase):
+class HunyuanSkyreelsImageToVideoCompileTests(TorchCompileTesterMixin, unittest.TestCase):
+    model_class = HunyuanVideoTransformer3DModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return HunyuanSkyreelsImageToVideoTransformer3DTests().prepare_init_args_and_inputs_for_common()
+
+
+class HunyuanVideoImageToVideoTransformer3DTests(ModelTesterMixin, unittest.TestCase):
     model_class = HunyuanVideoTransformer3DModel
     main_input_name = "hidden_states"
     uses_custom_attn_processor = True
@@ -227,9 +241,14 @@ def test_gradient_checkpointing_is_applied(self):
         super().test_gradient_checkpointing_is_applied(expected_set=expected_set)
 
 
-class HunyuanVideoTokenReplaceImageToVideoTransformer3DTests(
-    ModelTesterMixin, TorchCompileTesterMixin, unittest.TestCase
-):
+class HunyuanImageToVideoCompileTests(TorchCompileTesterMixin, unittest.TestCase):
+    model_class = HunyuanVideoTransformer3DModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return HunyuanVideoImageToVideoTransformer3DTests().prepare_init_args_and_inputs_for_common()
+
+
+class HunyuanVideoTokenReplaceImageToVideoTransformer3DTests(ModelTesterMixin, unittest.TestCase):
     model_class = HunyuanVideoTransformer3DModel
     main_input_name = "hidden_states"
     uses_custom_attn_processor = True
@@ -295,3 +314,10 @@ def test_output(self):
     def test_gradient_checkpointing_is_applied(self):
         expected_set = {"HunyuanVideoTransformer3DModel"}
         super().test_gradient_checkpointing_is_applied(expected_set=expected_set)
+
+
+class HunyuanVideoTokenReplaceCompileTests(TorchCompileTesterMixin, unittest.TestCase):
+    model_class = HunyuanVideoTransformer3DModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return HunyuanVideoTokenReplaceImageToVideoTransformer3DTests().prepare_init_args_and_inputs_for_common()

tests/models/transformers/test_models_transformer_ltx.py

@@ -26,7 +26,7 @@
 enable_full_determinism()
 
 
-class LTXTransformerTests(ModelTesterMixin, TorchCompileTesterMixin, unittest.TestCase):
+class LTXTransformerTests(ModelTesterMixin, unittest.TestCase):
     model_class = LTXVideoTransformer3DModel
     main_input_name = "hidden_states"
     uses_custom_attn_processor = True
@@ -81,3 +81,10 @@ def prepare_init_args_and_inputs_for_common(self):
     def test_gradient_checkpointing_is_applied(self):
         expected_set = {"LTXVideoTransformer3DModel"}
         super().test_gradient_checkpointing_is_applied(expected_set=expected_set)
+
+
+class LTXTransformerCompileTests(TorchCompileTesterMixin, unittest.TestCase):
+    model_class = LTXVideoTransformer3DModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return LTXTransformerTests().prepare_init_args_and_inputs_for_common()

tests/models/transformers/test_models_transformer_wan.py

@@ -28,7 +28,7 @@
 enable_full_determinism()
 
 
-class WanTransformer3DTests(ModelTesterMixin, TorchCompileTesterMixin, unittest.TestCase):
+class WanTransformer3DTests(ModelTesterMixin, unittest.TestCase):
     model_class = WanTransformer3DModel
     main_input_name = "hidden_states"
     uses_custom_attn_processor = True
@@ -82,3 +82,10 @@ def prepare_init_args_and_inputs_for_common(self):
     def test_gradient_checkpointing_is_applied(self):
         expected_set = {"WanTransformer3DModel"}
         super().test_gradient_checkpointing_is_applied(expected_set=expected_set)
+
+
+class WanTransformerCompileTests(TorchCompileTesterMixin, unittest.TestCase):
+    model_class = WanTransformer3DModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return WanTransformer3DTests().prepare_init_args_and_inputs_for_common()

tests/models/unets/test_models_unet_2d_condition.py

@@ -355,9 +355,7 @@ def create_custom_diffusion_layers(model, mock_weights: bool = True):
     return custom_diffusion_attn_procs
 
 
-class UNet2DConditionModelTests(
-    ModelTesterMixin, TorchCompileTesterMixin, LoraHotSwappingForModelTesterMixin, UNetTesterMixin, unittest.TestCase
-):
+class UNet2DConditionModelTests(ModelTesterMixin, UNetTesterMixin, unittest.TestCase):
     model_class = UNet2DConditionModel
     main_input_name = "sample"
     # We override the items here because the unet under consideration is small.
@@ -1147,6 +1145,20 @@ def test_save_attn_procs_raise_warning(self):
         assert "Using the `save_attn_procs()` method has been deprecated" in warning_message
 
 
+class UNet2DConditionModelCompileTests(TorchCompileTesterMixin, unittest.TestCase):
+    model_class = UNet2DConditionModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return UNet2DConditionModelTests().prepare_init_args_and_inputs_for_common()
+
+
+class UNet2DConditionModelLoRAHotSwapTests(LoraHotSwappingForModelTesterMixin, unittest.TestCase):
+    model_class = UNet2DConditionModel
+
+    def prepare_init_args_and_inputs_for_common(self):
+        return UNet2DConditionModelTests().prepare_init_args_and_inputs_for_common()
+
+
 @slow
 class UNet2DConditionModelIntegrationTests(unittest.TestCase):
     def get_file_format(self, seed, shape):