

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


lowerCAmelCase__								=		logging.get_logger(__name__)

lowerCAmelCase__								=		{
    """vinvino02/glpn-kitti""": """https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json""",
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}







class 	lowercase    (				_lowercase							):


		"""simple docstring"""




		a__					       =  "glpn"


		def __init__(				self	,       __snake_case=3	,       __snake_case=4	,       __snake_case=[2, 2, 2, 2]	,       __snake_case=[8, 4, 2, 1]	,       __snake_case=[32, 64, 1_60, 2_56]	,       __snake_case=[7, 3, 3, 3]	,       __snake_case=[4, 2, 2, 2]	,       __snake_case=[1, 2, 5, 8]	,       __snake_case=[4, 4, 4, 4]	,       __snake_case="gelu"	,       __snake_case=0.0	,       __snake_case=0.0	,       __snake_case=0.0_2	,       __snake_case=0.1	,       __snake_case=1e-6	,       __snake_case=64	,       __snake_case=10	,       __snake_case=-1	,       **__snake_case	,       ):
			super().__init__(**__snake_case)

			_UpperCamelCase   :		Any			=						num_channels
			_UpperCamelCase   :		Any			=						num_encoder_blocks
			_UpperCamelCase   :		List[str]			=						depths
			_UpperCamelCase   :		List[str]			=						sr_ratios
			_UpperCamelCase   :		str			=						hidden_sizes
			_UpperCamelCase   :		str			=						patch_sizes
			_UpperCamelCase   :		Tuple			=						strides
			_UpperCamelCase   :		Union[str, Any]			=						mlp_ratios
			_UpperCamelCase   :		str			=						num_attention_heads
			_UpperCamelCase   :		List[str]			=						hidden_act
			_UpperCamelCase   :		Dict			=						hidden_dropout_prob
			_UpperCamelCase   :		Optional[int]			=						attention_probs_dropout_prob
			_UpperCamelCase   :		int			=						initializer_range
			_UpperCamelCase   :		List[Any]			=						drop_path_rate
			_UpperCamelCase   :		Dict			=						layer_norm_eps
			_UpperCamelCase   :		Dict			=						decoder_hidden_size
			_UpperCamelCase   :		Union[str, Any]			=						max_depth
			_UpperCamelCase   :		List[Any]			=						head_in_index







from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeatures, SingleSentenceClassificationProcessor
from .xnli import xnli_output_modes, xnli_processors, xnli_tasks_num_labels




