




# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser





def 						__A						(      ) ->			str:
	a									=				ArgumentParser("""Accelerate CLI tool"""				,     usage="""accelerate <command> [<args>]"""				,     allow_abbrev=__lowerCamelCase       )
	a									=				parser.add_subparsers(help="""accelerate command helpers"""       )

	# Register commands
	get_config_parser(subparsers=__lowerCamelCase       )
	env_command_parser(subparsers=__lowerCamelCase       )
	launch_command_parser(subparsers=__lowerCamelCase       )
	tpu_command_parser(subparsers=__lowerCamelCase       )
	test_command_parser(subparsers=__lowerCamelCase       )

	# Let's go
	a									=				parser.parse_args()

	if not hasattr(__lowerCamelCase				,     """func"""       ):
		parser.print_help()
		exit(1       )

	# Run
	args.func(__lowerCamelCase       )


if __name__ == "__main__":
		main()







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


__UpperCamelCase   :			Any          = logging.get_logger(__name__)

__UpperCamelCase   :			Tuple          = {
    "SenseTime/deformable-detr": "https://huggingface.co/sensetime/deformable-detr/resolve/main/config.json",
    # See all Deformable DETR models at https://huggingface.co/models?filter=deformable-detr
}

class 						__lowerCAmelCase      (      __magic_name__					):
							UpperCamelCase__   	=    '''deformable_detr'''
							UpperCamelCase__   	=    {
							    '''hidden_size''': '''d_model''',
							    '''num_attention_heads''': '''encoder_attention_heads''',
							}
							def __init__(		self		:List[str]						, __magic_name__		:Tuple=True						, __magic_name__		:str=None						, __magic_name__		:Tuple=3						, __magic_name__		:List[str]=300						, __magic_name__		:Dict=1024						, __magic_name__		:Tuple=6						, __magic_name__		:Tuple=1024						, __magic_name__		:int=8						, __magic_name__		:List[Any]=6						, __magic_name__		:Tuple=1024						, __magic_name__		:List[Any]=8						, __magic_name__		:Union[str, Any]=0.0						, __magic_name__		:Union[str, Any]=True						, __magic_name__		:str="relu"						, __magic_name__		:Optional[Any]=256						, __magic_name__		:int=0.1						, __magic_name__		:List[str]=0.0						, __magic_name__		:str=0.0						, __magic_name__		:str=0.02						, __magic_name__		:int=1.0						, __magic_name__		:List[str]=True						, __magic_name__		:Union[str, Any]=False						, __magic_name__		:List[Any]="sine"						, __magic_name__		:Union[str, Any]="resnet50"						, __magic_name__		:int=True						, __magic_name__		:Any=False						, __magic_name__		:List[str]=4						, __magic_name__		:Tuple=4						, __magic_name__		:Union[str, Any]=4						, __magic_name__		:Optional[int]=False						, __magic_name__		:Tuple=300						, __magic_name__		:Tuple=False						, __magic_name__		:List[Any]=1						, __magic_name__		:List[str]=5						, __magic_name__		:List[Any]=2						, __magic_name__		:Optional[int]=1						, __magic_name__		:Union[str, Any]=1						, __magic_name__		:List[Any]=5						, __magic_name__		:Optional[Any]=2						, __magic_name__		:Optional[int]=0.1						, __magic_name__		:List[str]=0.25						, __magic_name__		:str=False						, **__magic_name__		:List[str]						, ):







								'''simple docstring'''







								if backbone_config is not None and use_timm_backbone:
									raise ValueError("""You can't specify both `backbone_config` and `use_timm_backbone`."""							)

								if not use_timm_backbone:
									if backbone_config is None:
										logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""							)
										a									=				CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""]							)
									elif isinstance(__magic_name__						, __magic_name__							):
										a									=				backbone_config.get("""model_type"""							)
										a									=				CONFIG_MAPPING[backbone_model_type]
										a									=				config_class.from_dict(__magic_name__							)
								a									=				use_timm_backbone
								a									=				backbone_config
								a									=				num_channels
								a									=				num_queries
								a									=				max_position_embeddings
								a									=				d_model
								a									=				encoder_ffn_dim
								a									=				encoder_layers
								a									=				encoder_attention_heads
								a									=				decoder_ffn_dim
								a									=				decoder_layers
								a									=				decoder_attention_heads
								a									=				dropout
								a									=				attention_dropout
								a									=				activation_dropout
								a									=				activation_function
								a									=				init_std
								a									=				init_xavier_std
								a									=				encoder_layerdrop
								a									=				auxiliary_loss
								a									=				position_embedding_type
								a									=				backbone
								a									=				use_pretrained_backbone
								a									=				dilation
								# deformable attributes
								a									=				num_feature_levels
								a									=				encoder_n_points
								a									=				decoder_n_points
								a									=				two_stage
								a									=				two_stage_num_proposals
								a									=				with_box_refine
								if two_stage is True and with_box_refine is False:
									raise ValueError("""If two_stage is True, with_box_refine must be True."""							)
								# Hungarian matcher
								a									=				class_cost
								a									=				bbox_cost
								a									=				giou_cost
								# Loss coefficients
								a									=				mask_loss_coefficient
								a									=				dice_loss_coefficient
								a									=				bbox_loss_coefficient
								a									=				giou_loss_coefficient
								a									=				eos_coefficient
								a									=				focal_alpha
								a									=				disable_custom_kernels
								super().__init__(is_encoder_decoder=__magic_name__						, **__magic_name__							)
							@property
							def  lowerCamelCase__				(		self		:List[Any]							):







								'''simple docstring'''







								return self.encoder_attention_heads
							@property
							def  lowerCamelCase__				(		self		:int							):







								'''simple docstring'''







								return self.d_model





							def  lowerCamelCase__				(		self		:Optional[int]							):







								'''simple docstring'''







								a									=				copy.deepcopy(self.__dict__							)
								if self.backbone_config is not None:
									a									=				self.backbone_config.to_dict()
								a									=				self.__class__.model_type
								return output

