Move test model folders (#17034)

* move test model folders (TODO: fix imports and others)

* fix (potentially partially) imports (in model test modules)

* fix (potentially partially) imports (in tokenization test modules)

* fix (potentially partially) imports (in feature extraction test modules)

* fix import utils.test_modeling_tf_core

* fix path ../fixtures/

* fix imports about generation.test_generation_flax_utils

* fix more imports

* fix fixture path

* fix get_test_dir

* update module_to_test_file

* fix get_tests_dir from wrong transformers.utils

* update config.yml (CircleCI)

* fix style

* remove missing imports

* update new model script

* update check_repo

* update SPECIAL_MODULE_TO_TEST_MAP

* fix style

* add __init__

* update self-scheduled

* fix add_new_model scripts

* check one way to get location back

* python setup.py build install

* fix import in test auto

* update self-scheduled.yml

* update slack notification script

* Add comments about artifact names

* fix for yolos
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/vit_mae/test_modeling_tf_vit_mae.py → tests/models/vit_mae/test_modeling_tf_vit_mae.py

@@ -30,8 +30,8 @@ from transformers import ViTMAEConfig
 from transformers.file_utils import cached_property, is_tf_available, is_vision_available
 from transformers.testing_utils import require_tf, require_vision, slow
 
-from ..test_configuration_common import ConfigTester
-from ..test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
+from ...test_configuration_common import ConfigTester
+from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
 
 
 if is_tf_available():

tests/vit_mae/test_modeling_vit_mae.py → tests/models/vit_mae/test_modeling_vit_mae.py

@@ -26,8 +26,8 @@ from transformers import ViTMAEConfig
 from transformers.testing_utils import require_torch, require_vision, slow, torch_device
 from transformers.utils import cached_property, is_torch_available, is_vision_available
 
-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/wav2vec2/test_feature_extraction_wav2vec2.py → tests/models/wav2vec2/test_feature_extraction_wav2vec2.py

@@ -23,7 +23,7 @@ import numpy as np
 from transformers import WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST, Wav2Vec2Config, Wav2Vec2FeatureExtractor
 from transformers.testing_utils import require_torch, slow
 
-from ..test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
+from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
 
 
 global_rng = random.Random()

tests/wav2vec2/test_modeling_flax_wav2vec2.py → tests/models/wav2vec2/test_modeling_flax_wav2vec2.py

@@ -30,7 +30,7 @@ from transformers.testing_utils import (
     slow,
 )
 
-from ..test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, random_attention_mask
+from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, random_attention_mask
 
 
 if is_flax_available():

tests/wav2vec2/test_modeling_tf_wav2vec2.py → tests/models/wav2vec2/test_modeling_tf_wav2vec2.py

@@ -29,8 +29,8 @@ from transformers import Wav2Vec2Config, is_tf_available
 from transformers.testing_utils import require_librosa, require_pyctcdecode, require_tf, slow
 from transformers.utils import is_librosa_available, is_pyctcdecode_available
 
-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/wav2vec2/test_modeling_wav2vec2.py → tests/models/wav2vec2/test_modeling_wav2vec2.py

@@ -33,8 +33,8 @@ from transformers.testing_utils import (
     torch_device,
 )
 
-from ..test_configuration_common import ConfigTester
-from ..test_modeling_common import (
+from ...test_configuration_common import ConfigTester
+from ...test_modeling_common import (
     ModelTesterMixin,
     _config_zero_init,
     floats_tensor,

tests/wav2vec2/test_tokenization_wav2vec2.py → tests/models/wav2vec2/test_tokenization_wav2vec2.py

@@ -32,7 +32,7 @@ from transformers import (
 from transformers.models.wav2vec2.tokenization_wav2vec2 import VOCAB_FILES_NAMES, Wav2Vec2CTCTokenizerOutput
 from transformers.testing_utils import require_torch, slow
 
-from ..test_tokenization_common import TokenizerTesterMixin
+from ...test_tokenization_common import TokenizerTesterMixin
 
 
 global_rng = random.Random()

tests/wav2vec2_phoneme/test_tokenization_wav2vec2_phoneme.py → tests/models/wav2vec2_phoneme/test_tokenization_wav2vec2_phoneme.py

@@ -23,7 +23,7 @@ from transformers.models.wav2vec2.tokenization_wav2vec2 import VOCAB_FILES_NAMES
 from transformers.models.wav2vec2_phoneme.tokenization_wav2vec2_phoneme import Wav2Vec2PhonemeCTCTokenizerOutput
 from transformers.testing_utils import require_phonemizer
 
-from ..test_tokenization_common import TokenizerTesterMixin
+from ...test_tokenization_common import TokenizerTesterMixin
 
 
 @require_phonemizer

tests/wavlm/test_modeling_wavlm.py → tests/models/wavlm/test_modeling_wavlm.py

@@ -23,8 +23,8 @@ from datasets import load_dataset
 from transformers import WavLMConfig, is_torch_available
 from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
 
-from ..test_configuration_common import ConfigTester
-from ..test_modeling_common import (
+from ...test_configuration_common import ConfigTester
+from ...test_modeling_common import (
     ModelTesterMixin,
     _config_zero_init,
     floats_tensor,

tests/xglm/test_modeling_flax_xglm.py → tests/models/xglm/test_modeling_flax_xglm.py

@@ -21,8 +21,8 @@ import transformers
 from transformers import XGLMConfig, XGLMTokenizer, is_flax_available, is_torch_available
 from transformers.testing_utils import is_pt_flax_cross_test, require_flax, require_sentencepiece, slow
 
-from ..generation.test_generation_flax_utils import FlaxGenerationTesterMixin
-from ..test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
+from ...generation.test_generation_flax_utils import FlaxGenerationTesterMixin
+from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
 
 
 if is_flax_available():

tests/xglm/test_modeling_xglm.py → tests/models/xglm/test_modeling_xglm.py

@@ -21,9 +21,9 @@ import unittest
 from transformers import XGLMConfig, is_torch_available
 from transformers.testing_utils import require_torch, slow, torch_device
 
-from ..generation.test_generation_utils import GenerationTesterMixin
-from ..test_configuration_common import ConfigTester
-from ..test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
+from ...generation.test_generation_utils import GenerationTesterMixin
+from ...test_configuration_common import ConfigTester
+from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
 
 
 if is_torch_available():

tests/xglm/test_tokenization_xglm.py → tests/models/xglm/test_tokenization_xglm.py

@@ -13,20 +13,19 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import pickle
 import shutil
 import tempfile
 import unittest
 
 from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
-from transformers.testing_utils import require_sentencepiece, require_tokenizers, slow
+from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
 from transformers.utils import cached_property
 
-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 = get_tests_dir("fixtures/test_sentencepiece.model")
 
 
 @require_sentencepiece