
from collections import OrderedDict
from typing import Mapping

from packaging import version

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


SCREAMING_SNAKE_CASE				:int									=							logging.get_logger(__name__)

SCREAMING_SNAKE_CASE				:Tuple									=							{
    "google/mobilenet_v2_1.4_224": "https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json",
    "google/mobilenet_v2_1.0_224": "https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json",
    "google/mobilenet_v2_0.75_160": "https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json",
    "google/mobilenet_v2_0.35_96": "https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json",
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}





class 				UpperCAmelCase (    _a    ):




	'''simple docstring'''





	snake_case_          =	"""mobilenet_v2"""






	def __init__(			self   :					Dict				,A   :					Union[str, Any]=3				,A   :					Optional[Any]=2_24				,A   :					Optional[int]=1.0				,A   :					Union[str, Any]=8				,A   :					Dict=8				,A   :					Optional[Any]=6				,A   :					Tuple=32				,A   :					List[Any]=True				,A   :					int=True				,A   :					Optional[Any]="relu6"				,A   :					int=True				,A   :					int=0.8				,A   :					str=0.02				,A   :					int=0.0_01				,A   :					Optional[int]=2_55				,**A   :					Optional[Any]				,):
					super().__init__(**A					)

					if depth_multiplier <= 0:
									raise ValueError("depth_multiplier must be greater than zero."					)

					__A       =					num_channels
					__A       =					image_size
					__A       =					depth_multiplier
					__A       =					depth_divisible_by
					__A       =					min_depth
					__A       =					expand_ratio
					__A       =					output_stride
					__A       =					first_layer_is_expansion
					__A       =					finegrained_output
					__A       =					hidden_act
					__A       =					tf_padding
					__A       =					classifier_dropout_prob
					__A       =					initializer_range
					__A       =					layer_norm_eps
					__A       =					semantic_loss_ignore_index





class 				UpperCAmelCase (    _a    ):




	'''simple docstring'''





	snake_case_          =	version.parse("1.11"    )






	@property
	def 							UpperCamelCase_    (			self   :					Dict					):
					return OrderedDict([("pixel_values", {0: "batch"})]					)






	@property
	def 							UpperCamelCase_    (			self   :					Dict					):

					if self.task == "image-classification":
									return OrderedDict([("logits", {0: "batch"})]					)
					else:
									return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]					)







	@property
	def 							UpperCamelCase_    (			self   :					Dict					):
					return 1E-4




from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands



def 							UpperCamelCase_( )       ->		List[Any]:
    _lowercase			:				int 						=						ArgumentParser('Transformers CLI tool'				,					usage='transformers-cli <command> [<args>]'					)
    _lowercase			:				Optional[Any] 						=						parser.add_subparsers(help='transformers-cli command helpers'					)

    # Register commands
    ConvertCommand.register_subcommand(lowerCamelCase_					)
    DownloadCommand.register_subcommand(lowerCamelCase_					)
    EnvironmentCommand.register_subcommand(lowerCamelCase_					)
    RunCommand.register_subcommand(lowerCamelCase_					)
    ServeCommand.register_subcommand(lowerCamelCase_					)
    UserCommands.register_subcommand(lowerCamelCase_					)
    AddNewModelCommand.register_subcommand(lowerCamelCase_					)
    AddNewModelLikeCommand.register_subcommand(lowerCamelCase_					)
    LfsCommands.register_subcommand(lowerCamelCase_					)
    PTtoTFCommand.register_subcommand(lowerCamelCase_					)

    # Let's go
    _lowercase			:				Any 						=						parser.parse_args()

    if not hasattr(lowerCamelCase_				,					'func'					):
        parser.print_help()
        exit(1					)

    # Run
    _lowercase			:				Optional[int] 						=						args.func(lowerCamelCase_					)
    service.run()


if __name__ == "__main__":
 main()


