Remove dead protected imports (#38980)

* remove them

* more

src/transformers/models/align/configuration_align.py

@@ -14,12 +14,6 @@
 # limitations under the License.
 """ALIGN model configuration"""
 
-from typing import TYPE_CHECKING
-
-
-if TYPE_CHECKING:
-    pass
-
 from ...configuration_utils import PretrainedConfig
 from ...utils import logging
 

src/transformers/models/bamba/modular_bamba.py

@@ -52,13 +52,10 @@ from ...utils import (
     can_return_tuple,
     logging,
 )
-from ...utils.import_utils import is_causal_conv1d_available, is_flash_attn_2_available, is_mamba_2_ssm_available
+from ...utils.import_utils import is_causal_conv1d_available, is_mamba_2_ssm_available
 from .configuration_bamba import BambaConfig
 
 
-if is_flash_attn_2_available():
-    pass
-
 if is_mamba_2_ssm_available():
     from mamba_ssm.ops.triton.selective_state_update import selective_state_update
     from mamba_ssm.ops.triton.ssd_combined import mamba_chunk_scan_combined, mamba_split_conv1d_scan_combined

src/transformers/models/clvp/configuration_clvp.py

@@ -15,11 +15,7 @@
 """CLVP model configuration"""
 
 import os
-from typing import TYPE_CHECKING, Union
-
-
-if TYPE_CHECKING:
-    pass
+from typing import Union
 
 from ...configuration_utils import PretrainedConfig
 from ...utils import logging

src/transformers/models/got_ocr2/modular_got_ocr2.py

@@ -33,13 +33,10 @@ from transformers.models.sam.modeling_sam import SamMLPBlock, SamVisionAttention
 from ...configuration_utils import PretrainedConfig
 from ...modeling_flash_attention_utils import FlashAttentionKwargs
 from ...processing_utils import Unpack
-from ...utils import auto_docstring, can_return_tuple, is_vision_available, logging
+from ...utils import auto_docstring, can_return_tuple, logging
 from ..auto import CONFIG_MAPPING, AutoConfig
 
 
-if is_vision_available():
-    pass
-
 logger = logging.get_logger(__name__)
 
 

src/transformers/models/mpt/configuration_mpt.py

@@ -14,11 +14,7 @@
 # limitations under the License.
 """Mpt configuration"""
 
-from typing import TYPE_CHECKING, Optional, Union
-
-
-if TYPE_CHECKING:
-    pass
+from typing import Optional, Union
 
 from ...configuration_utils import PretrainedConfig
 from ...utils import logging

src/transformers/models/nougat/image_processing_nougat.py

@@ -41,16 +41,12 @@ from ...image_utils import (
     validate_preprocess_arguments,
 )
 from ...utils import TensorType, filter_out_non_signature_kwargs, logging
-from ...utils.import_utils import is_cv2_available, is_vision_available
+from ...utils.import_utils import is_vision_available
 
 
 logger = logging.get_logger(__name__)
 
 
-if is_cv2_available():
-    pass
-
-
 if is_vision_available():
     import PIL
 

src/transformers/models/opt/modeling_opt.py

@@ -25,7 +25,7 @@ from ...activations import ACT2FN
 from ...cache_utils import Cache, DynamicCache
 from ...generation import GenerationMixin
 from ...modeling_attn_mask_utils import AttentionMaskConverter
-from ...modeling_flash_attention_utils import FlashAttentionKwargs, is_flash_attn_available
+from ...modeling_flash_attention_utils import FlashAttentionKwargs
 from ...modeling_outputs import (
     BaseModelOutputWithPast,
     CausalLMOutputWithPast,
@@ -44,10 +44,6 @@ if is_torch_flex_attn_available():
     from ...integrations.flex_attention import make_flex_block_causal_mask
 
 
-if is_flash_attn_available():
-    pass
-
-
 logger = logging.get_logger(__name__)
 
 

src/transformers/models/owlv2/configuration_owlv2.py

@@ -14,12 +14,6 @@
 # limitations under the License.
 """OWLv2 model configuration"""
 
-from typing import TYPE_CHECKING
-
-
-if TYPE_CHECKING:
-    pass
-
 from ...configuration_utils import PretrainedConfig
 from ...utils import logging
 

src/transformers/models/seggpt/image_processing_seggpt.py

@@ -32,15 +32,12 @@ from ...image_utils import (
     to_numpy_array,
     valid_images,
 )
-from ...utils import TensorType, is_torch_available, is_vision_available, logging, requires_backends
+from ...utils import TensorType, is_torch_available, logging, requires_backends
 
 
 if is_torch_available():
     import torch
 
-if is_vision_available():
-    pass
-
 
 logger = logging.get_logger(__name__)
 

tests/models/aya_vision/test_modeling_aya_vision.py

@@ -22,7 +22,6 @@ from transformers import (
     AutoProcessor,
     AyaVisionConfig,
     is_torch_available,
-    is_vision_available,
 )
 from transformers.testing_utils import (
     Expectations,
@@ -51,10 +50,6 @@ if is_torch_available():
     )
 
 
-if is_vision_available():
-    pass
-
-
 class AyaVisionVisionText2TextModelTester:
     def __init__(
         self,

tests/models/internvl/test_video_processor_internvl.py

@@ -17,14 +17,11 @@ import unittest
 
 from transformers.image_utils import OPENAI_CLIP_MEAN, OPENAI_CLIP_STD
 from transformers.testing_utils import require_torch, require_vision
-from transformers.utils import is_torch_available, is_torchvision_available, is_vision_available
+from transformers.utils import is_torchvision_available, is_vision_available
 
 from ...test_video_processing_common import VideoProcessingTestMixin, prepare_video_inputs
 
 
-if is_torch_available():
-    pass
-
 if is_vision_available():
     if is_torchvision_available():
         from transformers import InternVLVideoProcessor

tests/models/janus/test_processor_janus.py

@@ -20,15 +20,10 @@ import unittest
 import numpy as np
 
 from transformers import AutoProcessor, AutoTokenizer, JanusProcessor
-from transformers.utils import is_vision_available
 
 from ...test_processing_common import ProcessorTesterMixin
 
 
-if is_vision_available():
-    pass
-
-
 class JanusProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     processor_class = JanusProcessor
 

tests/models/llama4/test_image_processing_llama4.py

@@ -16,14 +16,11 @@
 import unittest
 
 from transformers.testing_utils import require_torch, require_vision
-from transformers.utils import is_torch_available, is_torchvision_available, is_vision_available
+from transformers.utils import is_torchvision_available, is_vision_available
 
 from ...test_image_processing_common import ImageProcessingTestMixin, prepare_image_inputs
 
 
-if is_torch_available():
-    pass
-
 if is_vision_available() and is_torchvision_available():
     from transformers import Llama4ImageProcessorFast
 

tests/models/llava/test_processor_llava.py

@@ -18,7 +18,7 @@ import unittest
 
 from transformers import AutoProcessor, AutoTokenizer, LlamaTokenizerFast, LlavaProcessor
 from transformers.testing_utils import require_vision
-from transformers.utils import is_torch_available, is_vision_available
+from transformers.utils import is_vision_available
 
 from ...test_processing_common import ProcessorTesterMixin
 
@@ -26,9 +26,6 @@ from ...test_processing_common import ProcessorTesterMixin
 if is_vision_available():
     from transformers import CLIPImageProcessor
 
-if is_torch_available:
-    pass
-
 
 @require_vision
 class LlavaProcessorTest(ProcessorTesterMixin, unittest.TestCase):

tests/models/llava_next_video/test_processor_llava_next_video.py

@@ -21,7 +21,7 @@ import torch
 
 from transformers import AutoProcessor, LlamaTokenizerFast, LlavaNextVideoProcessor
 from transformers.testing_utils import require_vision
-from transformers.utils import is_torch_available, is_torchvision_available, is_vision_available
+from transformers.utils import is_torchvision_available, is_vision_available
 
 from ...test_processing_common import ProcessorTesterMixin
 
@@ -32,9 +32,6 @@ if is_vision_available():
     if is_torchvision_available():
         from transformers import LlavaNextVideoVideoProcessor
 
-if is_torch_available:
-    pass
-
 
 @require_vision
 class LlavaNextVideoProcessorTest(ProcessorTesterMixin, unittest.TestCase):

tests/models/llava_next_video/test_video_processing_llava_next_video.py

@@ -17,14 +17,11 @@ import unittest
 
 from transformers.image_utils import OPENAI_CLIP_MEAN, OPENAI_CLIP_STD
 from transformers.testing_utils import require_torch, require_vision
-from transformers.utils import is_torch_available, is_torchvision_available, is_vision_available
+from transformers.utils import is_torchvision_available, is_vision_available
 
 from ...test_video_processing_common import VideoProcessingTestMixin, prepare_video_inputs
 
 
-if is_torch_available():
-    pass
-
 if is_vision_available():
     if is_torchvision_available():
         from transformers import LlavaNextVideoVideoProcessor

tests/models/llava_onevision/test_processor_llava_onevision.py

@@ -20,7 +20,7 @@ import unittest
 import torch
 
 from transformers.testing_utils import require_torch, require_vision
-from transformers.utils import is_torch_available, is_torchvision_available, is_vision_available
+from transformers.utils import is_torchvision_available, is_vision_available
 
 from ...test_processing_common import ProcessorTesterMixin
 
@@ -36,9 +36,6 @@ if is_vision_available():
     if is_torchvision_available():
         from transformers import LlavaOnevisionVideoProcessor
 
-if is_torch_available:
-    pass
-
 
 @require_vision
 @require_torch

tests/models/llava_onevision/test_video_processing_llava_onevision.py

@@ -17,14 +17,11 @@ import unittest
 
 from transformers.image_utils import OPENAI_CLIP_MEAN, OPENAI_CLIP_STD
 from transformers.testing_utils import require_torch, require_vision
-from transformers.utils import is_torch_available, is_torchvision_available, is_vision_available
+from transformers.utils import is_torchvision_available, is_vision_available
 
 from ...test_video_processing_common import VideoProcessingTestMixin, prepare_video_inputs
 
 
-if is_torch_available():
-    pass
-
 if is_vision_available():
     if is_torchvision_available():
         from transformers import LlavaOnevisionVideoProcessor

tests/models/mistral3/test_processor_mistral3.py

@@ -20,7 +20,7 @@ import numpy as np
 
 from transformers import PixtralProcessor
 from transformers.testing_utils import require_vision
-from transformers.utils import is_torch_available, is_vision_available
+from transformers.utils import is_torch_available
 
 from ...test_processing_common import ProcessorTesterMixin
 
@@ -29,10 +29,6 @@ if is_torch_available():
     import torch
 
 
-if is_vision_available():
-    pass
-
-
 @require_vision
 class Mistral3ProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     """This tests Pixtral processor with the new `spatial_merge_size` argument in Mistral3."""

tests/models/paligemma2/test_modeling_paligemma2.py

@@ -23,7 +23,6 @@ from transformers import (
     PaliGemmaConfig,
     PaliGemmaForConditionalGeneration,
     is_torch_available,
-    is_vision_available,
 )
 from transformers.testing_utils import (
     is_flaky,
@@ -40,10 +39,6 @@ if is_torch_available():
     import torch
 
 
-if is_vision_available():
-    pass
-
-
 class PaliGemma2VisionText2TextModelTester:
     def __init__(
         self,

tests/models/qwen2_audio/test_processor_qwen2_audio.py

@@ -17,15 +17,10 @@ import unittest
 
 from transformers import AutoProcessor, AutoTokenizer, Qwen2AudioProcessor, WhisperFeatureExtractor
 from transformers.testing_utils import require_torch, require_torchaudio
-from transformers.utils import is_torch_available
 
 from ...test_processing_common import ProcessorTesterMixin
 
 
-if is_torch_available:
-    pass
-
-
 @require_torch
 @require_torchaudio
 class Qwen2AudioProcessorTest(ProcessorTesterMixin, unittest.TestCase):

tests/models/timesfm/test_modeling_timesfm.py

@@ -21,15 +21,11 @@ import torch
 
 from transformers import TimesFmConfig, is_torch_available
 from transformers.testing_utils import require_torch, slow, torch_device
-from transformers.utils import is_torch_fx_available
 
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_common import ModelTesterMixin
 
 
-if is_torch_fx_available():
-    pass
-
 if is_torch_available():
     from transformers import TimesFmModelForPrediction
 

tests/models/video_llava/test_video_processing_video_llava.py

@@ -17,14 +17,11 @@ import unittest
 
 from transformers.image_utils import OPENAI_CLIP_MEAN, OPENAI_CLIP_STD
 from transformers.testing_utils import require_torch, require_vision
-from transformers.utils import is_torch_available, is_torchvision_available, is_vision_available
+from transformers.utils import is_torchvision_available, is_vision_available
 
 from ...test_video_processing_common import VideoProcessingTestMixin, prepare_video_inputs
 
 
-if is_torch_available():
-    pass
-
 if is_vision_available():
     if is_torchvision_available():
         from transformers import VideoLlavaVideoProcessor

tests/models/vitpose_backbone/test_modeling_vitpose_backbone.py

@@ -18,7 +18,7 @@ import unittest
 
 from transformers import VitPoseBackboneConfig
 from transformers.testing_utils import require_torch, torch_device
-from transformers.utils import is_torch_available, is_vision_available
+from transformers.utils import is_torch_available
 
 from ...test_backbone_common import BackboneTesterMixin
 from ...test_configuration_common import ConfigTester
@@ -31,10 +31,6 @@ if is_torch_available():
     from transformers import VitPoseBackbone
 
 
-if is_vision_available():
-    pass
-
-
 class VitPoseBackboneModelTester:
     def __init__(
         self,