`mps` test fixes (#2470)

* Skip variant tests (UNet1d, UNetRL) on mps.

mish op not yet supported.

* Exclude a couple of panorama tests on mps

They are too slow for fast CI.

* Exclude mps panorama from more tests.

* mps: exclude all fast panorama tests as they keep failing.

tests/models/test_models_unet_1d.py

@@ -66,6 +66,10 @@ class UNet1DModelTests(ModelTesterMixin, unittest.TestCase):
     def test_from_save_pretrained(self):
         super().test_from_save_pretrained()
 
+    @unittest.skipIf(torch_device == "mps", "mish op not supported in MPS")
+    def test_from_save_pretrained_variant(self):
+        super().test_from_save_pretrained_variant()
+
     @unittest.skipIf(torch_device == "mps", "mish op not supported in MPS")
     def test_model_from_pretrained(self):
         super().test_model_from_pretrained()
@@ -186,6 +190,10 @@ class UNetRLModelTests(ModelTesterMixin, unittest.TestCase):
     def test_from_save_pretrained(self):
         super().test_from_save_pretrained()
 
+    @unittest.skipIf(torch_device == "mps", "mish op not supported in MPS")
+    def test_from_save_pretrained_variant(self):
+        super().test_from_save_pretrained_variant()
+
     @unittest.skipIf(torch_device == "mps", "mish op not supported in MPS")
     def test_model_from_pretrained(self):
         super().test_model_from_pretrained()

tests/pipelines/stable_diffusion/test_stable_diffusion_panorama.py

@@ -30,7 +30,7 @@ from diffusers import (
     UNet2DConditionModel,
 )
 from diffusers.utils import slow, torch_device
-from diffusers.utils.testing_utils import require_torch_gpu
+from diffusers.utils.testing_utils import require_torch_gpu, skip_mps
 
 from ...test_pipelines_common import PipelineTesterMixin
 
@@ -38,6 +38,7 @@ from ...test_pipelines_common import PipelineTesterMixin
 torch.backends.cuda.matmul.allow_tf32 = False
 
 
+@skip_mps
 class StableDiffusionPanoramaPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = StableDiffusionPanoramaPipeline