
"""simple docstring"""


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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


A_						       =				logging.get_logger(__name__)

A_						       =				{
    """facebook/convnext-tiny-224""": """https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json""",
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}




class    __lowerCamelCase     (   lowerCAmelCase	,  lowerCAmelCase ):
				a__:			Union[str, Any]									=						'convnext'




				def __init__(							self       ,	UpperCAmelCase=3       ,	UpperCAmelCase=4       ,	UpperCAmelCase=4       ,	UpperCAmelCase=None       ,	UpperCAmelCase=None       ,	UpperCAmelCase="gelu"       ,	UpperCAmelCase=0.0_2       ,	UpperCAmelCase=1e-1_2       ,	UpperCAmelCase=1e-6       ,	UpperCAmelCase=0.0       ,	UpperCAmelCase=224       ,	UpperCAmelCase=None       ,	UpperCAmelCase=None       ,	**UpperCAmelCase       ,	):
							super().__init__(**UpperCAmelCase      )

							lowerCamelCase_ 		=     num_channels
							lowerCamelCase_ 		=     patch_size
							lowerCamelCase_ 		=     num_stages
							lowerCamelCase_ 		=     [96, 192, 384, 768] if hidden_sizes is None else hidden_sizes
							lowerCamelCase_ 		=     [3, 3, 9, 3] if depths is None else depths
							lowerCamelCase_ 		=     hidden_act
							lowerCamelCase_ 		=     initializer_range
							lowerCamelCase_ 		=     layer_norm_eps
							lowerCamelCase_ 		=     layer_scale_init_value
							lowerCamelCase_ 		=     drop_path_rate
							lowerCamelCase_ 		=     image_size
							lowerCamelCase_ 		=     ['''stem'''] + [f"stage{idx}" for idx in range(1       ,	len(self.depths      ) + 1      )]
							lowerCamelCase_		,   lowerCamelCase_ 		=     get_aligned_output_features_output_indices(
							    out_features=UpperCAmelCase       ,	out_indices=UpperCAmelCase       ,	stage_names=self.stage_names      )




class    __lowerCamelCase     (   lowerCAmelCase ):
				a__:			List[Any]									=						version.parse('1.11' )




				@property
				def 					UpperCAmelCase__	(							self      ):
							return OrderedDict(
							    [
							        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
							    ]      )





				@property
				def 					UpperCAmelCase__	(							self      ):
							return 1e-5





"""simple docstring"""


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


A_						       =				logging.get_logger(__name__)

A_						       =				{
    """MBZUAI/swiftformer-xs""": """https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json""",
}




class    __lowerCamelCase     (   lowerCAmelCase ):
				a__:			Any									=						'swiftformer'




				def __init__(							self       ,	UpperCAmelCase=3       ,	UpperCAmelCase=[3, 3, 6, 4]       ,	UpperCAmelCase=[48, 56, 112, 220]       ,	UpperCAmelCase=4       ,	UpperCAmelCase=[True, True, True, True]       ,	UpperCAmelCase="gelu"       ,	UpperCAmelCase=3       ,	UpperCAmelCase=2       ,	UpperCAmelCase=1       ,	UpperCAmelCase=0.0       ,	UpperCAmelCase=True       ,	UpperCAmelCase=1e-5       ,	UpperCAmelCase=1e-5       ,	**UpperCAmelCase       ,	):
							super().__init__(**UpperCAmelCase      )
							lowerCamelCase_ 		=     num_channels
							lowerCamelCase_ 		=     depths
							lowerCamelCase_ 		=     embed_dims
							lowerCamelCase_ 		=     mlp_ratio
							lowerCamelCase_ 		=     downsamples
							lowerCamelCase_ 		=     hidden_act
							lowerCamelCase_ 		=     down_patch_size
							lowerCamelCase_ 		=     down_stride
							lowerCamelCase_ 		=     down_pad
							lowerCamelCase_ 		=     drop_path_rate
							lowerCamelCase_ 		=     use_layer_scale
							lowerCamelCase_ 		=     layer_scale_init_value
							lowerCamelCase_ 		=     batch_norm_eps




class    __lowerCamelCase     (   lowerCAmelCase ):
				a__:			str									=						version.parse('1.11' )




				@property
				def 					UpperCAmelCase__	(							self      ):
							return OrderedDict(
							    [
							        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
							    ]      )





				@property
				def 					UpperCAmelCase__	(							self      ):
							return 1e-4



