



import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
a__     =						[
    """kernels/rwkv/wkv_cuda.cu""",
    """kernels/rwkv/wkv_op.cpp""",
    """kernels/deformable_detr/ms_deform_attn.h""",
    """kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh""",
    """models/graphormer/algos_graphormer.pyx""",
]



def    lowercase							( SCREAMING_SNAKE_CASE__							:						Any					)	->  Optional[int]:
 # Test all the extensions added in the setup
 for file in FILES_TO_FIND:
  if not (transformers_path / file).exists():
   return False
 return True


if __name__ == "__main__":
  a__     =						argparse.ArgumentParser()
  parser.add_argument("""--check_lib""", action="""store_true""", help="""Whether to check the build or the actual package.""")
  a__     =						parser.parse_args()
  if args.check_lib:
    a__     =						importlib.import_module("""transformers""")
    a__     =						Path(transformers_module.__file__).parent
  else:
    a__     =						Path.cwd() / """build/lib/transformers"""
  if not test_custom_files_are_present(transformers_path):
    raise ValueError("""The built release does not contain the custom files. Fix this before going further!""")


"""simple docstring"""
from collections import OrderedDict
from typing import List, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_					     =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_					     =	{
    '''google/efficientnet-b7''': '''https://huggingface.co/google/efficientnet-b7/resolve/main/config.json''',
}
class       lowerCAmelCase_		(				A__ ):



							'''simple docstring'''





							_snake_case						      =		'''efficientnet'''




							def __init__( self    ,				snake_case_ = 3    ,				snake_case_ = 600    ,				snake_case_ = 2.0    ,				snake_case_ = 3.1    ,				snake_case_ = 8    ,				snake_case_ = [3, 3, 5, 3, 5, 5, 3]    ,				snake_case_ = [32, 16, 24, 40, 80, 112, 192]    ,				snake_case_ = [16, 24, 40, 80, 112, 192, 320]    ,				snake_case_ = []    ,				snake_case_ = [1, 2, 2, 2, 1, 2, 1]    ,				snake_case_ = [1, 2, 2, 3, 3, 4, 1]    ,				snake_case_ = [1, 6, 6, 6, 6, 6, 6]    ,				snake_case_ = 0.25    ,				snake_case_ = "swish"    ,				snake_case_ = 2_560    ,				snake_case_ = "mean"    ,				snake_case_ = 0.02    ,				snake_case_ = 0.001    ,				snake_case_ = 0.99    ,				snake_case_ = 0.5    ,				snake_case_ = 0.2    ,				**snake_case_    ,				)       ->  List[str]:
													super().__init__(**snake_case_				)

													__lowerCAmelCase     =  num_channels
													__lowerCAmelCase     =  image_size
													__lowerCAmelCase     =  width_coefficient
													__lowerCAmelCase     =  depth_coefficient
													__lowerCAmelCase     =  depth_divisor
													__lowerCAmelCase     =  kernel_sizes
													__lowerCAmelCase     =  in_channels
													__lowerCAmelCase     =  out_channels
													__lowerCAmelCase     =  depthwise_padding
													__lowerCAmelCase     =  strides
													__lowerCAmelCase     =  num_block_repeats
													__lowerCAmelCase     =  expand_ratios
													__lowerCAmelCase     =  squeeze_expansion_ratio
													__lowerCAmelCase     =  hidden_act
													__lowerCAmelCase     =  hidden_dim
													__lowerCAmelCase     =  pooling_type
													__lowerCAmelCase     =  initializer_range
													__lowerCAmelCase     =  batch_norm_eps
													__lowerCAmelCase     =  batch_norm_momentum
													__lowerCAmelCase     =  dropout_rate
													__lowerCAmelCase     =  drop_connect_rate
													__lowerCAmelCase     =  sum(snake_case_				) * 4
class       lowerCAmelCase_		(				A__ ):



							'''simple docstring'''





							_snake_case						      =		version.parse('''1.11''' )




							@property
							def    A__						( self				)       ->  Mapping[str, Mapping[int, str]]:
													return OrderedDict(
													    [
													        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
													    ]				)




							@property
							def    A__						( self				)       ->  float:
													return 1e-5
