
from typing import TYPE_CHECKING

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


__lowerCAmelCase					   =       {
    'configuration_poolformer': [
        'POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'PoolFormerConfig',
        'PoolFormerOnnxConfig',
    ]
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase					   =       ['PoolFormerFeatureExtractor']
							__lowerCAmelCase					   =       ['PoolFormerImageProcessor']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase					   =       [
							    'POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'PoolFormerForImageClassification',
							    'PoolFormerModel',
							    'PoolFormerPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_poolformer import (
							    POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    PoolFormerConfig,
							    PoolFormerOnnxConfig,
							)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_poolformer import PoolFormerFeatureExtractor
														from .image_processing_poolformer import PoolFormerImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_poolformer import (
														    POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PoolFormerForImageClassification,
														    PoolFormerModel,
														    PoolFormerPreTrainedModel,
														)


else:
							import sys

							__lowerCAmelCase					   =       _LazyModule(__name__, globals()['__file__'], _import_structure)

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase					   =       logging.get_logger(__name__)

__lowerCAmelCase					   =       {
    'alibaba-damo/mgp-str-base': 'https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json',
}





class     lowerCamelCase      (       __lowerCamelCase					):
	UpperCamelCase_  :					Union[str, Any]    		=	'mgp-str'







	def __init__(     self      :Union[str, Any]   ,     lowercase      :Union[str, Any]=[3_2, 1_2_8]   ,     lowercase      :Tuple=4   ,     lowercase      :Optional[int]=3   ,     lowercase      :Union[str, Any]=2_7   ,     lowercase      :List[str]=3_8   ,     lowercase      :Optional[Any]=5_0_2_5_7   ,     lowercase      :str=3_0_5_2_2   ,     lowercase      :Dict=7_6_8   ,     lowercase      :List[Any]=1_2   ,     lowercase      :List[str]=1_2   ,     lowercase      :Optional[Any]=4.0   ,     lowercase      :Optional[Any]=True   ,     lowercase      :str=False   ,     lowercase      :Optional[Any]=1e-5   ,     lowercase      :List[str]=0.0   ,     lowercase      :List[Any]=0.0   ,     lowercase      :Optional[int]=0.0   ,     lowercase      :Dict=False   ,     lowercase      :Optional[Any]=0.02   ,     **lowercase      :Optional[Any]   ,     )		->      Dict:







				"""simple docstring"""






				super().__init__(**lowercase			)

				SCREAMING_SNAKE_CASE     						= image_size
				SCREAMING_SNAKE_CASE     						= patch_size
				SCREAMING_SNAKE_CASE     						= num_channels
				SCREAMING_SNAKE_CASE     						= max_token_length
				SCREAMING_SNAKE_CASE     						= num_character_labels
				SCREAMING_SNAKE_CASE     						= num_bpe_labels
				SCREAMING_SNAKE_CASE     						= num_wordpiece_labels
				SCREAMING_SNAKE_CASE     						= hidden_size
				SCREAMING_SNAKE_CASE     						= num_hidden_layers
				SCREAMING_SNAKE_CASE     						= num_attention_heads
				SCREAMING_SNAKE_CASE     						= mlp_ratio
				SCREAMING_SNAKE_CASE     						= distilled
				SCREAMING_SNAKE_CASE     						= layer_norm_eps
				SCREAMING_SNAKE_CASE     						= drop_rate
				SCREAMING_SNAKE_CASE     						= qkv_bias
				SCREAMING_SNAKE_CASE     						= attn_drop_rate
				SCREAMING_SNAKE_CASE     						= drop_path_rate
				SCREAMING_SNAKE_CASE     						= output_aa_attentions
				SCREAMING_SNAKE_CASE     						= initializer_range