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[Tests] Mark the ncsnpp model tests as slow (#575)
* [Tests] Mark the ncsnpp model tests as slow * style
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@@ -19,7 +19,7 @@ import unittest
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import torch
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from diffusers import UNet2DModel
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from diffusers.testing_utils import floats_tensor, torch_device
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from diffusers.testing_utils import floats_tensor, slow, torch_device
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from .test_modeling_common import ModelTesterMixin
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@@ -231,6 +231,7 @@ class NCSNppModelTests(ModelTesterMixin, unittest.TestCase):
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inputs_dict = self.dummy_input
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return init_dict, inputs_dict
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@slow
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def test_from_pretrained_hub(self):
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model, loading_info = UNet2DModel.from_pretrained("google/ncsnpp-celebahq-256", output_loading_info=True)
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self.assertIsNotNone(model)
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@@ -244,6 +245,7 @@ class NCSNppModelTests(ModelTesterMixin, unittest.TestCase):
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assert image is not None, "Make sure output is not None"
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@slow
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def test_output_pretrained_ve_mid(self):
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model = UNet2DModel.from_pretrained("google/ncsnpp-celebahq-256")
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model.to(torch_device)
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