Use self.config_tester.run_common_tests() (#31431)

* First testing updating config tests

* Use run_common_tests
This commit is contained in:
amyeroberts
2024-06-19 10:18:08 +01:00
committed by GitHub
parent 7c71b61dae
commit 609e662243
28 changed files with 174 additions and 187 deletions

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@@ -147,16 +147,15 @@ class AlignVisionModelTest(ModelTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = AlignVisionModelTester(self)
self.config_tester = ConfigTester(
self, config_class=AlignVisionConfig, has_text_modality=False, hidden_size=37
self,
config_class=AlignVisionConfig,
has_text_modality=False,
hidden_size=37,
common_properties=["num_channels", "image_size"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="AlignVisionModel does not use inputs_embeds")
def test_inputs_embeds(self):

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@@ -173,15 +173,12 @@ class BitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = BitModelTester(self)
self.config_tester = ConfigTester(self, config_class=BitConfig, has_text_modality=False)
self.config_tester = ConfigTester(
self, config_class=BitConfig, has_text_modality=False, common_properties=["num_channels"]
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="Bit does not output attentions")
def test_attention_outputs(self):

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@@ -183,15 +183,16 @@ class ConvNextModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
def setUp(self):
self.model_tester = ConvNextModelTester(self)
self.config_tester = ConfigTester(self, config_class=ConvNextConfig, has_text_modality=False, hidden_size=37)
self.config_tester = ConfigTester(
self,
config_class=ConvNextConfig,
has_text_modality=False,
hidden_size=37,
common_properties=["num_channels", "hidden_sizes"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="ConvNext does not use inputs_embeds")
def test_inputs_embeds(self):

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@@ -191,15 +191,16 @@ class ConvNextV2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
def setUp(self):
self.model_tester = ConvNextV2ModelTester(self)
self.config_tester = ConfigTester(self, config_class=ConvNextV2Config, has_text_modality=False, hidden_size=37)
self.config_tester = ConfigTester(
self,
config_class=ConvNextV2Config,
has_text_modality=False,
hidden_size=37,
common_properties=["hidden_sizes", "num_channels"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="ConvNextV2 does not use inputs_embeds")
def test_inputs_embeds(self):

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@@ -151,12 +151,7 @@ class CpmAntModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
self.config_tester = ConfigTester(self, config_class=CpmAntConfig)
def test_config(self):
self.config_tester.create_and_test_config_common_properties()
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_inputs_embeds(self):
unittest.skip("CPMAnt doesn't support input_embeds.")(self.test_inputs_embeds)

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@@ -162,15 +162,16 @@ class CvtModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = CvtModelTester(self)
self.config_tester = ConfigTester(self, config_class=CvtConfig, has_text_modality=False, hidden_size=37)
self.config_tester = ConfigTester(
self,
config_class=CvtConfig,
has_text_modality=False,
hidden_size=37,
common_properties=["hidden_size", "num_channels"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="Cvt does not output attentions")
def test_attention_outputs(self):

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@@ -230,15 +230,15 @@ class DeformableDetrModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineT
def setUp(self):
self.model_tester = DeformableDetrModelTester(self)
self.config_tester = ConfigTester(self, config_class=DeformableDetrConfig, has_text_modality=False)
self.config_tester = ConfigTester(
self,
config_class=DeformableDetrConfig,
has_text_modality=False,
common_properties=["num_channels", "d_model", "encoder_attention_heads", "decoder_attention_heads"],
)
def test_config(self):
# we don't test common_properties and arguments_init as these don't apply for Deformable DETR
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.run_common_tests()
def test_deformable_detr_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

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@@ -149,17 +149,15 @@ class DepthAnythingModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Tes
def setUp(self):
self.model_tester = DepthAnythingModelTester(self)
self.config_tester = ConfigTester(
self, config_class=DepthAnythingConfig, has_text_modality=False, hidden_size=37
self,
config_class=DepthAnythingConfig,
has_text_modality=False,
hidden_size=37,
common_properties=["patch_size"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_from_and_save_pretrained_subfolder()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="Depth Anything with AutoBackbone does not have a base model and hence no input_embeddings")
def test_inputs_embeds(self):

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@@ -219,15 +219,12 @@ class DinatModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = DinatModelTester(self)
self.config_tester = ConfigTester(self, config_class=DinatConfig, embed_dim=37)
self.config_tester = ConfigTester(
self, config_class=DinatConfig, embed_dim=37, common_properties=["patch_size", "num_channels"]
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

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@@ -153,15 +153,16 @@ class DonutSwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
def setUp(self):
self.model_tester = DonutSwinModelTester(self)
self.config_tester = ConfigTester(self, config_class=DonutSwinConfig, embed_dim=37)
self.config_tester = ConfigTester(
self,
config_class=DonutSwinConfig,
has_text_modality=False,
embed_dim=37,
common_properties=["image_size", "patch_size", "num_channels"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

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@@ -142,16 +142,15 @@ class EfficientNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Test
def setUp(self):
self.model_tester = EfficientNetModelTester(self)
self.config_tester = ConfigTester(
self, config_class=EfficientNetConfig, has_text_modality=False, hidden_size=37
self,
config_class=EfficientNetConfig,
has_text_modality=False,
hidden_size=37,
common_properties=["num_channels", "image_size", "hidden_dim"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="EfficientNet does not use inputs_embeds")
def test_inputs_embeds(self):

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@@ -250,15 +250,16 @@ class FocalNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
def setUp(self):
self.model_tester = FocalNetModelTester(self)
self.config_tester = ConfigTester(self, config_class=FocalNetConfig, embed_dim=37, has_text_modality=False)
self.config_tester = ConfigTester(
self,
config_class=FocalNetConfig,
embed_dim=37,
has_text_modality=False,
common_properties=["image_size", "patch_size", "num_channels", "hidden_sizes"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

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@@ -246,15 +246,15 @@ class GroundingDinoModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Tes
def setUp(self):
self.model_tester = GroundingDinoModelTester(self)
self.config_tester = ConfigTester(self, config_class=GroundingDinoConfig, has_text_modality=False)
self.config_tester = ConfigTester(
self,
config_class=GroundingDinoConfig,
has_text_modality=False,
common_properties=["d_model", "encoder_attention_heads", "decoder_attention_heads"],
)
def test_config(self):
# we don't test common_properties and arguments_init as these don't apply for Grounding DINO
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

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@@ -190,15 +190,12 @@ class LevitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = LevitModelTester(self)
self.config_tester = ConfigTester(self, config_class=LevitConfig, has_text_modality=False, hidden_size=37)
self.config_tester = ConfigTester(
self, config_class=LevitConfig, has_text_modality=False, common_properties=["image_size", "num_channels"]
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="Levit does not use inputs_embeds")
def test_inputs_embeds(self):

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@@ -184,7 +184,13 @@ class MaskFormerSwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
def setUp(self):
self.model_tester = MaskFormerSwinModelTester(self)
self.config_tester = ConfigTester(self, config_class=MaskFormerSwinConfig, embed_dim=37)
self.config_tester = ConfigTester(
self,
config_class=MaskFormerSwinConfig,
has_text_modality=False,
embed_dim=37,
common_properties=["image_size", "patch_size", "num_channels"],
)
@require_torch_multi_gpu
@unittest.skip(
@@ -197,12 +203,7 @@ class MaskFormerSwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
pass
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

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@@ -315,7 +315,12 @@ class PerceiverModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
def setUp(self):
self.model_tester = PerceiverModelTester(self)
self.config_tester = ConfigTester(self, config_class=PerceiverConfig, hidden_size=37)
self.config_tester = ConfigTester(
self,
config_class=PerceiverConfig,
hidden_size=37,
common_properties=["d_model", "num_self_attention_heads", "num_cross_attention_heads"],
)
def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
inputs_dict = copy.deepcopy(inputs_dict)
@@ -344,12 +349,7 @@ class PerceiverModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
return inputs_dict
def test_config(self):
# we don't test common_properties and arguments_init as these don't apply for Perceiver
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.run_common_tests()
def test_for_masked_lm(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs(model_class=PerceiverForMaskedLM)

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@@ -136,15 +136,15 @@ class RegNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = RegNetModelTester(self)
self.config_tester = ConfigTester(self, config_class=RegNetConfig, has_text_modality=False)
self.config_tester = ConfigTester(
self,
config_class=RegNetConfig,
has_text_modality=False,
common_properties=["num_channels", "hidden_sizes"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="RegNet does not use inputs_embeds")
def test_inputs_embeds(self):

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@@ -181,15 +181,15 @@ class ResNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = ResNetModelTester(self)
self.config_tester = ConfigTester(self, config_class=ResNetConfig, has_text_modality=False)
self.config_tester = ConfigTester(
self,
config_class=ResNetConfig,
has_text_modality=False,
common_properties=["num_channels", "hidden_sizes"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="ResNet does not use inputs_embeds")
def test_inputs_embeds(self):

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@@ -124,15 +124,16 @@ class SuperPointModelTest(ModelTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = SuperPointModelTester(self)
self.config_tester = ConfigTester(self, config_class=SuperPointConfig, has_text_modality=False, hidden_size=37)
self.config_tester = ConfigTester(
self,
config_class=SuperPointConfig,
has_text_modality=False,
hidden_size=37,
common_properties=["encoder_hidden_sizes", "decoder_hidden_size"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="SuperPointForKeypointDetection does not use inputs_embeds")
def test_inputs_embeds(self):

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@@ -243,15 +243,16 @@ class SwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = SwinModelTester(self)
self.config_tester = ConfigTester(self, config_class=SwinConfig, embed_dim=37)
self.config_tester = ConfigTester(
self,
config_class=SwinConfig,
embed_dim=37,
has_text_modality=False,
common_properties=["image_size", "patch_size", "num_channels"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

View File

@@ -175,15 +175,16 @@ class Swin2SRModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
def setUp(self):
self.model_tester = Swin2SRModelTester(self)
self.config_tester = ConfigTester(self, config_class=Swin2SRConfig, embed_dim=37)
self.config_tester = ConfigTester(
self,
config_class=Swin2SRConfig,
embed_dim=37,
has_text_modality=False,
common_properties=["image_size", "patch_size", "num_channels"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

View File

@@ -229,15 +229,16 @@ class Swinv2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = Swinv2ModelTester(self)
self.config_tester = ConfigTester(self, config_class=Swinv2Config, embed_dim=37)
self.config_tester = ConfigTester(
self,
config_class=Swinv2Config,
embed_dim=37,
has_text_modality=False,
common_properties=["image_size", "patch_size", "num_channels"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

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@@ -18,7 +18,6 @@ import inspect
import unittest
from transformers import AutoBackbone
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available
@@ -106,17 +105,15 @@ class TimmBackboneModelTest(ModelTesterMixin, BackboneTesterMixin, PipelineTeste
has_attentions = False
def setUp(self):
self.config_class = PretrainedConfig
# self.config_class = PretrainedConfig
self.config_class = TimmBackboneConfig
self.model_tester = TimmBackboneModelTester(self)
self.config_tester = ConfigTester(self, config_class=self.config_class, has_text_modality=False)
self.config_tester = ConfigTester(
self, config_class=self.config_class, has_text_modality=False, common_properties=["num_channels"]
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_timm_transformer_backbone_equivalence(self):
timm_checkpoint = "resnet18"

View File

@@ -121,20 +121,16 @@ class UnivNetModelTest(ModelTesterMixin, unittest.TestCase):
def setUp(self):
self.model_tester = UnivNetModelTester(self)
self.config_tester = ConfigTester(self, config_class=UnivNetConfig)
self.config_tester = ConfigTester(
self, config_class=UnivNetConfig, has_text_modality=False, common_properties=["num_mel_bins"]
)
@unittest.skip(reason="fix this once it gets more usage")
def test_multi_gpu_data_parallel_forward(self):
super().test_multi_gpu_data_parallel_forward()
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_from_and_save_pretrained_subfolder()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_model(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

View File

@@ -161,15 +161,16 @@ class UperNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
def setUp(self):
self.model_tester = UperNetModelTester(self)
self.config_tester = ConfigTester(self, config_class=UperNetConfig, has_text_modality=False, hidden_size=37)
self.config_tester = ConfigTester(
self,
config_class=UperNetConfig,
has_text_modality=False,
hidden_size=37,
common_properties=["hidden_size"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
def test_for_semantic_segmentation(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()

View File

@@ -146,15 +146,16 @@ class VitMatteModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
def setUp(self):
self.model_tester = VitMatteModelTester(self)
self.config_tester = ConfigTester(self, config_class=VitMatteConfig, has_text_modality=False, hidden_size=37)
self.config_tester = ConfigTester(
self,
config_class=VitMatteConfig,
has_text_modality=False,
hidden_size=37,
common_properties=["hidden_size"],
)
def test_config(self):
self.config_tester.create_and_test_config_to_json_string()
self.config_tester.create_and_test_config_to_json_file()
self.config_tester.create_and_test_config_from_and_save_pretrained()
self.config_tester.create_and_test_config_with_num_labels()
self.config_tester.check_config_can_be_init_without_params()
self.config_tester.check_config_arguments_init()
self.config_tester.run_common_tests()
@unittest.skip(reason="VitMatte does not use inputs_embeds")
def test_inputs_embeds(self):