




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


SCREAMING_SNAKE_CASE_    :       int       =							{"configuration_detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig", "DetrOnnxConfig"]}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE_    :       Union[str, Any]       =							["DetrFeatureExtractor"]
 SCREAMING_SNAKE_CASE_    :       List[Any]       =							["DetrImageProcessor"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE_    :       Optional[Any]       =							[
     "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
     "DetrForObjectDetection",
     "DetrForSegmentation",
     "DetrModel",
     "DetrPreTrainedModel",
 ]


if TYPE_CHECKING:
 from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_detr import DetrFeatureExtractor
  from .image_processing_detr import DetrImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_detr import (
      DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
      DetrForObjectDetection,
      DetrForSegmentation,
      DetrModel,
      DetrPreTrainedModel,
  )

else:
 import sys

 SCREAMING_SNAKE_CASE_    :       Optional[Any]       =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)












from ..utils import DummyObject, requires_backends

class 		lowercase_       (	metaclass=lowerCAmelCase__				):
					__UpperCamelCase     	= ["torch", "transformers", "k_diffusion"]




					def __init__(   self:		Tuple,     *_lowercase:		Dict,     **_lowercase:		Optional[int]):


									'''simple docstring'''


									requires_backends(self,     ["""torch""", """transformers""", """k_diffusion"""])




					@classmethod
					def     _lowercase						(   cls:		Union[str, Any],     *_lowercase:		Union[str, Any],     **_lowercase:		Optional[int]):


									'''simple docstring'''


									requires_backends(cls,     ["""torch""", """transformers""", """k_diffusion"""])







					@classmethod
					def     _lowercase						(   cls:		List[str],     *_lowercase:		int,     **_lowercase:		List[Any]):


									'''simple docstring'''


									requires_backends(cls,     ["""torch""", """transformers""", """k_diffusion"""])





