






from typing import TYPE_CHECKING

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


lowerCamelCase      :       Tuple    =						{'''configuration_glpn''': ['''GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GLPNConfig''']}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase      :       int    =						['''GLPNFeatureExtractor''']
 lowerCamelCase      :       List[Any]    =						['''GLPNImageProcessor''']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase      :       Union[str, Any]    =						[
     '''GLPN_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''GLPNForDepthEstimation''',
     '''GLPNLayer''',
     '''GLPNModel''',
     '''GLPNPreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_glpn import GLPNFeatureExtractor
  from .image_processing_glpn import GLPNImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_glpn import (
      GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
      GLPNForDepthEstimation,
      GLPNLayer,
      GLPNModel,
      GLPNPreTrainedModel,
  )


else:
 import sys

 lowerCamelCase      :       int    =						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








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