[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_modeling_plbart.py → tests/plbart/test_modeling_plbart.py

@@ -23,9 +23,9 @@ from transformers import PLBartConfig, is_torch_available
 from transformers.file_utils import cached_property
 from transformers.testing_utils import require_sentencepiece, require_tokenizers, 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
+from ..generation.test_generation_utils import GenerationTesterMixin
+from ..test_configuration_common import ConfigTester
+from ..test_modeling_common import ModelTesterMixin, ids_tensor
 
 
 if is_torch_available():

tests/test_tokenization_plbart.py → tests/plbart/test_tokenization_plbart.py

@@ -19,10 +19,10 @@ import unittest
 from transformers import SPIECE_UNDERLINE, BatchEncoding, PLBartTokenizer, is_torch_available
 from transformers.testing_utils import nested_simplify, require_sentencepiece, require_tokenizers, require_torch
 
-from .test_tokenization_common import TokenizerTesterMixin
+from ..test_tokenization_common import TokenizerTesterMixin
 
 
-SAMPLE_VOCAB = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/test_sentencepiece.model")
+SAMPLE_VOCAB = os.path.join(os.path.dirname(os.path.abspath(__file__)), "../fixtures/test_sentencepiece.model")
 
 
 if is_torch_available():

tests/test_feature_extraction_poolformer.py → tests/poolformer/test_feature_extraction_poolformer.py

@@ -20,7 +20,7 @@ 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_poolformer.py → tests/poolformer/test_modeling_poolformer.py

@@ -23,8 +23,8 @@ from transformers import is_torch_available, is_vision_available
 from transformers.models.auto import get_values
 from transformers.testing_utils import require_torch, 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():