

"""simple docstring"""




from ...configuration_utils import PretrainedConfig
class     UpperCamelCase__(			UpperCamelCase_ ):
						lowerCAmelCase__  :						List[Any]													=		"""bert-generation"""





						def __init__(       self		,__UpperCAmelCase=5_03_58		,__UpperCAmelCase=10_24		,__UpperCAmelCase=24		,__UpperCAmelCase=16		,__UpperCAmelCase=40_96		,__UpperCAmelCase="gelu"		,__UpperCAmelCase=0.1		,__UpperCAmelCase=0.1		,__UpperCAmelCase=5_12		,__UpperCAmelCase=0.0_2		,__UpperCAmelCase=1e-12		,__UpperCAmelCase=0		,__UpperCAmelCase=2		,__UpperCAmelCase=1		,__UpperCAmelCase="absolute"		,__UpperCAmelCase=True		,**__UpperCAmelCase		,)					->				List[str]:
													super().__init__(pad_token_id=_a		,bos_token_id=_a		,eos_token_id=_a		,**_a     )

													A__	     =							vocab_size
													A__	     =							hidden_size
													A__	     =							num_hidden_layers
													A__	     =							num_attention_heads
													A__	     =							hidden_act
													A__	     =							intermediate_size
													A__	     =							hidden_dropout_prob
													A__	     =							attention_probs_dropout_prob
													A__	     =							max_position_embeddings
													A__	     =							initializer_range
													A__	     =							layer_norm_eps
													A__	     =							position_embedding_type
													A__	     =							use_cache






"""simple docstring"""




from typing import TYPE_CHECKING

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


__lowerCamelCase											=  {"configuration_glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"]}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase											=  ["GLPNFeatureExtractor"]
				__lowerCamelCase											=  ["GLPNImageProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase											=  [
				    "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											=  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





