[Test refactor 1/5] Per-folder tests reorganization (#15725)

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

tests/test_feature_extraction_clip.py → tests/clip/test_feature_extraction_clip.py

@@ -21,7 +21,7 @@ import numpy as np
 from transformers.file_utils import is_torch_available, is_vision_available
 from transformers.testing_utils import require_torch, require_vision
 
-from .test_feature_extraction_common import FeatureExtractionSavingTestMixin
+from ..test_feature_extraction_common import FeatureExtractionSavingTestMixin
 
 
 if is_torch_available():

tests/test_modeling_clip.py → tests/clip/test_modeling_clip.py

@@ -36,8 +36,14 @@ from transformers.testing_utils import (
     torch_device,
 )
 
-from .test_configuration_common import ConfigTester
-from .test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor, random_attention_mask
+from ..test_configuration_common import ConfigTester
+from ..test_modeling_common import (
+    ModelTesterMixin,
+    _config_zero_init,
+    floats_tensor,
+    ids_tensor,
+    random_attention_mask,
+)
 
 
 if is_torch_available():

tests/test_modeling_flax_clip.py → tests/clip/test_modeling_flax_clip.py

@@ -8,7 +8,7 @@ import transformers
 from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig, is_flax_available, is_torch_available
 from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow
 
-from .test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
+from ..test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
 
 
 if is_flax_available():

tests/test_modeling_tf_clip.py → tests/clip/test_modeling_tf_clip.py

@@ -26,8 +26,8 @@ from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig
 from transformers.file_utils import is_tf_available, is_vision_available
 from transformers.testing_utils import is_pt_tf_cross_test, require_tf, require_vision, slow
 
-from .test_configuration_common import ConfigTester
-from .test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
+from ..test_configuration_common import ConfigTester
+from ..test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
 
 
 if is_tf_available():

tests/test_tokenization_clip.py → tests/clip/test_tokenization_clip.py

@@ -22,7 +22,7 @@ from transformers import CLIPTokenizer, CLIPTokenizerFast
 from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
 from transformers.testing_utils import require_ftfy, require_tokenizers
 
-from .test_tokenization_common import TokenizerTesterMixin
+from ..test_tokenization_common import TokenizerTesterMixin
 
 
 @require_tokenizers

tests/test_modeling_convbert.py → tests/convbert/test_modeling_convbert.py

@@ -17,13 +17,12 @@ import os
 import tempfile
 import unittest
 
-from tests.test_modeling_common import floats_tensor
 from transformers import ConvBertConfig, is_torch_available
 from transformers.models.auto import get_values
 from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
 
-from .test_configuration_common import ConfigTester
-from .test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
+from ..test_configuration_common import ConfigTester
+from ..test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
 
 
 if is_torch_available():

tests/test_modeling_tf_convbert.py → tests/convbert/test_modeling_tf_convbert.py

@@ -19,8 +19,8 @@ import unittest
 from transformers import ConvBertConfig, is_tf_available
 from transformers.testing_utils import require_tf, slow
 
-from .test_configuration_common import ConfigTester
-from .test_modeling_tf_common import TFModelTesterMixin, ids_tensor
+from ..test_configuration_common import ConfigTester
+from ..test_modeling_tf_common import TFModelTesterMixin, ids_tensor
 
 
 if is_tf_available():

tests/test_feature_extraction_convnext.py → tests/convnext/test_feature_extraction_convnext.py

@@ -21,7 +21,7 @@ import numpy as np
 from transformers.file_utils import is_torch_available, is_vision_available
 from transformers.testing_utils import require_torch, require_vision
 
-from .test_feature_extraction_common import FeatureExtractionSavingTestMixin, prepare_image_inputs
+from ..test_feature_extraction_common import FeatureExtractionSavingTestMixin, prepare_image_inputs
 
 
 if is_torch_available():

tests/test_modeling_convnext.py → tests/convnext/test_modeling_convnext.py

@@ -23,8 +23,8 @@ from transformers import ConvNextConfig
 from transformers.file_utils import cached_property, is_torch_available, is_vision_available
 from transformers.testing_utils import require_torch, require_vision, slow, torch_device
 
-from .test_configuration_common import ConfigTester
-from .test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
+from ..test_configuration_common import ConfigTester
+from ..test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
 
 
 if is_torch_available():

tests/test_tokenization_cpm.py → tests/cpm/test_tokenization_cpm.py

@@ -16,7 +16,7 @@
 from transformers.models.cpm.tokenization_cpm import CpmTokenizer
 from transformers.testing_utils import custom_tokenizers
 
-from .test_modeling_xlnet import XLNetModelTest
+from ..xlnet.test_modeling_xlnet import XLNetModelTest
 
 
 @custom_tokenizers

tests/test_modeling_ctrl.py → tests/ctrl/test_modeling_ctrl.py

@@ -18,9 +18,9 @@ import unittest
 from transformers import CTRLConfig, is_torch_available
 from transformers.testing_utils import require_torch, slow, torch_device
 
-from .test_configuration_common import ConfigTester
-from .test_generation_utils import GenerationTesterMixin
-from .test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
+from ..generation.test_generation_utils import GenerationTesterMixin
+from ..test_configuration_common import ConfigTester
+from ..test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
 
 
 if is_torch_available():

tests/test_modeling_tf_ctrl.py → tests/ctrl/test_modeling_tf_ctrl.py

@@ -19,8 +19,8 @@ import unittest
 from transformers import CTRLConfig, is_tf_available
 from transformers.testing_utils import require_tf, slow
 
-from .test_configuration_common import ConfigTester
-from .test_modeling_tf_common import TFModelTesterMixin, ids_tensor
+from ..test_configuration_common import ConfigTester
+from ..test_modeling_tf_common import TFModelTesterMixin, ids_tensor
 
 
 if is_tf_available():

tests/test_tokenization_ctrl.py → tests/ctrl/test_tokenization_ctrl.py

@@ -19,7 +19,7 @@ import unittest
 
 from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer
 
-from .test_tokenization_common import TokenizerTesterMixin
+from ..test_tokenization_common import TokenizerTesterMixin
 
 
 class CTRLTokenizationTest(TokenizerTesterMixin, unittest.TestCase):